The Facebook Conundrum: Where Ethics and Science Collide
Six Big Tech Trends in Education to Follow
The Upside and Dark Side of Collecting Student Data
Higher Ed Trends: MOOCs, Tablets, Gamification, and Wearable Tech
Understanding Learning Analytics and Student Data
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FM","link":"/"}},"mindshift_36674":{"type":"posts","id":"mindshift_36674","meta":{"index":"posts_1591205157","site":"mindshift","id":"36674","score":null,"sort":[1404568831000]},"guestAuthors":[],"slug":"the-facebook-conundrum-where-ethics-and-science-collide","title":"The Facebook Conundrum: Where Ethics and Science Collide","publishDate":1404568831,"format":"aside","headTitle":"MindShift | KQED News","labelTerm":{"site":"mindshift"},"content":"\u003cp class=\"dropcap-serif\">\u003cimg class=\"alignleft size-medium wp-image-36675\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2014/07/eqm10110_f3-596b39a35d21d704b2148a39d766e7a19082b48e-300x225.jpg\" alt=\"The Course Signals dashboard tells professors how their students are doing at a glance.\" width=\"300\" height=\"225\">When students at Purdue University are reading their homework assignments, sometimes the assignments are reading them too.\u003c/p>\n\u003cp>A software program called \u003ca href=\"http://www.itap.purdue.edu/learning/tools/signals/\">Course Signals \u003c/a> tracks various pieces of information, including the number of points earned in the course and the amount of time the student has spent logged in to the college's software platform.\u003c/p>\n\u003cp>Course Signals combines this data with knowledge about the student's background, such as her high school GPA, and generates a \"green,\" \"yellow,\" or \"red\" light representing her chances of doing well in the course.\u003c/p>\n\u003cp>Professors then have the option of sending students text messages or emails either warning them to buckle down or cheering them on.\u003c/p>\n\u003cp>\"We work on sending tailored feedback--tips, tricks, hints,\" says Matt Pistilli, a \u003ca href=\"http://www.jngi.org/matt-pistilli/\">research scientist at Purdue \u003c/a>who helped develop Course Signals. \"It's giving students good information, so it doesn't come across as saying you're going to fail as much as, you're going to do better.\"\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Course Signals has now been used by 24,000 students at various schools since its introduction in 2007, including about a fifth of Purdue's undergraduates in recent years. It has been shown to increase the number of students earning A's and B's and lower the number of D's and F's, and it significantly raises the chances that students will stick with college for an additional year, from 83% to 97%.\u003c/p>\n\u003cp>This is one early real-world application of the new and rapidly expanding fields of research called learning analytics and educational data mining.\u003c/p>\n\u003cp>When students use software as part of the learning process, whether in online or blended courses or doing their own research, they generate massive amounts of data. Scholars are running large-scale experiments using this data to improve teaching; to help students stay motivated and succeed in college; and even to learn more about the brain and the process of learning itself.\u003c/p>\n\u003cp>But with all this potential comes serious concerns. Facebook caused a furor over the past \u003ca href=\"http://www.npr.org/blogs/monkeysee/2014/06/30/326923945/lab-rats-one-and-all-that-unsettling-facebook-experiment\">couple of weeks \u003c/a>when the company's lead scientist published a research paper indicating that the social network had tinkered with the news feeds of hundreds of thousands of people in an experiment to see whether their emotions could be influenced.\u003c/p>\n\u003cp>As unsettling as that may have been, users of a recreational social network are free to click away or delete their accounts at any time. College students, on the other hand, are committed. Earning a degree is crucial to their future success, and requires a significant investment of time and money.\u003c/p>\n\u003cp>So academics are scrambling to come up with rules and procedures for gathering and using student data--and manipulating student behavior.\u003c/p>\n\u003cp>\"This is a huge opportunity for science, but it also brings very large ethical puzzles,\" says Dr. Mitchell Stevens, director of digital research and planning at Stanford University's Graduate School of Education. \"We are at an unprecedented moment in the history of the human sciences, in which massive streams of information about human activity are produced continuously through online interaction.\"\u003c/p>\n\u003cp>Experts say the ethical considerations are lagging behind the practice. \"There's a ton of research being done...[yet] if you do a search on ethics and analytics I think you'll get literally seven or eight articles,\" says Pistilli, who is the author of \u003ca href=\"http://www.educause.edu/ero/article/ethics-big-data-and-analytics-model-application\">one of them\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>Large Ethical Puzzles\u003c/strong>\u003c/p>\n\u003cp>In June, Stevens helped convene a gathering to produce a set of guidelines for this research. \u003ca href=\"http://asilomar-highered.info/\">The Asilomar Convention\u003c/a> was in the spirit of the Belmont Report of 1979, which created the rules in use today to evaluate research involving human subjects.\u003c/p>\n\u003cp>But the existing human-subject rules fit the new data-driven world \"only awkwardly,\" Stevens says.\u003c/p>\n\u003cp>Take the most basic principle: informed consent. It says that research subjects should be notified in advance of the nature and purposes of an experiment and be able to choose whether to participate.\u003c/p>\n\u003cp>But what does informed consent really mean when data collection occurs invisibly, done along with an action like turning in your homework?\u003c/p>\n\u003cp>Another catch: Often, scientists can't or don't want to specify the purposes of an experiment in advance, since they identify important patterns only after collecting a bunch of data.\u003c/p>\n\u003cp>Yet another set of concerns arises because a lot of the new educational data collection is proprietary. Companies like Pearson, Blackboard and Coursera each have information on millions of learners.\u003c/p>\n\u003cp>\"This is not a new problem for science,\" Stevens says, pointing to pharmaceutical and medical research. \"But it is a new fact in the field of education research.\"\u003c/p>\n\u003cp>A fact that raises big questions: Who owns this data? The student, the institution, the company or some combination? Who gets to decide what is done in whose best interest?\u003c/p>\n\u003cp>Asilomar came up with a set of broad principles that include \"openness,\" \"justice,\" and \"beneficence.\" The final one is \"continuous consideration,\" which, essentially, acknowledges that ethics remain a moving target in these situations.\u003c/p>\n\u003cp>\u003cstrong>'Stereotype Threat' And The 'Pygmalion Effect'\u003c/strong>\u003c/p>\n\u003cp>The field of learning analytics isn't just about advancing the understanding of learning. It's also being applied in efforts to try to influence and predict student behavior.\u003c/p>\n\u003cp>It's here that the ethical rubber really meets the road.\u003c/p>\n\u003cp>With the Course Signals project, for example, an algorithm flags a certain group of students as being likely to struggle. The information it draws on includes a demographic profile of the student: his or her age, whether they live on campus, and how many credits they've attempted or already earned in college. Depending on the way that prediction is communicated to teachers and students, it could have troubling implications.\u003c/p>\n\u003cp>A big one would be if the predictions unduly influenced teachers' perceptions of their students.\u003c/p>\n\u003cp>A body of research going back decades confirms that, if teachers are informed that students are gifted, the students will produce better outcomes, regardless of whether the students really are gifted. It's called the \u003ca href=\"http://eric.ed.gov/?id=EJ092071\">Pygmalion Effect.\u003c/a>\u003c/p>\n\u003cp>\"One of the worst possibilities is that we stereotype students,\" says Justin Reich, who does learning analytics research for the MOOC platform HarvardX. \"Any day is the day a kid could turn things around.\"\u003c/p>\n\u003cp>And what about the impact of this information on the students themselves?\u003c/p>\n\u003cp>Research on \u003ca href=\"http://psycnet.apa.org/journals/psp/69/5/797/\">\"stereotype threat\"\u003c/a> shows that merely being reminded of one's minority status can be enough to depress test performance. Does telling them they have been \"red flagged\" make them more likely to fail or give up?\u003c/p>\n\u003cp>In some courses using Course Signals, students do, in fact, tend to withdraw earlier than they otherwise would. \"The self-fulfilling prophecy is a concern for a lot of folks,\" Pistilli says.\u003c/p>\n\u003cp>Most of these conversations are, for now, hypothetical. Learning analytics has yet to demonstrate its big beneficial breakthrough, its \"penicillin,\" in the words of Reich. Nor has there been a big ethical failure to creep lots of people out.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>But there's no reason to wait for a disaster to start setting some ground rules. \"There's a difference,\" Pistilli says, \"between what we can do and what we should do.\"\u003c/p>\n\u003cdiv class=\"fullattribution\">\u003cem>This post first appeared on \u003ca href=\"http://www.npr.org/blogs/ed/2014/07/04/327745863/big-data-comes-to-college\" target=\"_blank\">NPR\u003c/a>.\u003c/em>\u003c/div>\n\n","blocks":[],"excerpt":"The exploding field of \"learning analytics\" raises ethical questions similar to those arising from the recent Facebook revelations.","status":"publish","parent":0,"modified":1404490246,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":36,"wordCount":1191},"headData":{"title":"The Facebook Conundrum: Where Ethics and Science Collide | KQED","description":"The exploding field of "learning analytics" raises ethical questions similar to those arising from the recent Facebook revelations.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":""},"disqusIdentifier":"36674 http://blogs.kqed.org/mindshift/?p=36674","disqusUrl":"https://ww2.kqed.org/mindshift/2014/07/05/the-facebook-conundrum-where-ethics-and-science-collide/","disqusTitle":"The Facebook Conundrum: Where Ethics and Science Collide","nprByline":"Anya Kamenetz","nprStoryId":"327745863","nprApiLink":"http://api.npr.org/query?id=327745863&apiKey=MDAxOTAwOTE4MDEyMTkxMDAzNjczZDljZA004","nprHtmlLink":"http://www.npr.org/blogs/ed/2014/07/04/327745863/big-data-comes-to-college?ft=3&f=327745863","nprRetrievedStory":"1","nprPubDate":"Fri, 04 Jul 2014 08:44:00 -0400","nprStoryDate":"Fri, 04 Jul 2014 07:38:00 -0400","nprLastModifiedDate":"Fri, 04 Jul 2014 08:44:57 -0400","path":"/mindshift/36674/the-facebook-conundrum-where-ethics-and-science-collide","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp class=\"dropcap-serif\">\u003cimg class=\"alignleft size-medium wp-image-36675\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2014/07/eqm10110_f3-596b39a35d21d704b2148a39d766e7a19082b48e-300x225.jpg\" alt=\"The Course Signals dashboard tells professors how their students are doing at a glance.\" width=\"300\" height=\"225\">When students at Purdue University are reading their homework assignments, sometimes the assignments are reading them too.\u003c/p>\n\u003cp>A software program called \u003ca href=\"http://www.itap.purdue.edu/learning/tools/signals/\">Course Signals \u003c/a> tracks various pieces of information, including the number of points earned in the course and the amount of time the student has spent logged in to the college's software platform.\u003c/p>\n\u003cp>Course Signals combines this data with knowledge about the student's background, such as her high school GPA, and generates a \"green,\" \"yellow,\" or \"red\" light representing her chances of doing well in the course.\u003c/p>\n\u003cp>Professors then have the option of sending students text messages or emails either warning them to buckle down or cheering them on.\u003c/p>\n\u003cp>\"We work on sending tailored feedback--tips, tricks, hints,\" says Matt Pistilli, a \u003ca href=\"http://www.jngi.org/matt-pistilli/\">research scientist at Purdue \u003c/a>who helped develop Course Signals. \"It's giving students good information, so it doesn't come across as saying you're going to fail as much as, you're going to do better.\"\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Course Signals has now been used by 24,000 students at various schools since its introduction in 2007, including about a fifth of Purdue's undergraduates in recent years. It has been shown to increase the number of students earning A's and B's and lower the number of D's and F's, and it significantly raises the chances that students will stick with college for an additional year, from 83% to 97%.\u003c/p>\n\u003cp>This is one early real-world application of the new and rapidly expanding fields of research called learning analytics and educational data mining.\u003c/p>\n\u003cp>When students use software as part of the learning process, whether in online or blended courses or doing their own research, they generate massive amounts of data. Scholars are running large-scale experiments using this data to improve teaching; to help students stay motivated and succeed in college; and even to learn more about the brain and the process of learning itself.\u003c/p>\n\u003cp>But with all this potential comes serious concerns. Facebook caused a furor over the past \u003ca href=\"http://www.npr.org/blogs/monkeysee/2014/06/30/326923945/lab-rats-one-and-all-that-unsettling-facebook-experiment\">couple of weeks \u003c/a>when the company's lead scientist published a research paper indicating that the social network had tinkered with the news feeds of hundreds of thousands of people in an experiment to see whether their emotions could be influenced.\u003c/p>\n\u003cp>As unsettling as that may have been, users of a recreational social network are free to click away or delete their accounts at any time. College students, on the other hand, are committed. Earning a degree is crucial to their future success, and requires a significant investment of time and money.\u003c/p>\n\u003cp>So academics are scrambling to come up with rules and procedures for gathering and using student data--and manipulating student behavior.\u003c/p>\n\u003cp>\"This is a huge opportunity for science, but it also brings very large ethical puzzles,\" says Dr. Mitchell Stevens, director of digital research and planning at Stanford University's Graduate School of Education. \"We are at an unprecedented moment in the history of the human sciences, in which massive streams of information about human activity are produced continuously through online interaction.\"\u003c/p>\n\u003cp>Experts say the ethical considerations are lagging behind the practice. \"There's a ton of research being done...[yet] if you do a search on ethics and analytics I think you'll get literally seven or eight articles,\" says Pistilli, who is the author of \u003ca href=\"http://www.educause.edu/ero/article/ethics-big-data-and-analytics-model-application\">one of them\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>Large Ethical Puzzles\u003c/strong>\u003c/p>\n\u003cp>In June, Stevens helped convene a gathering to produce a set of guidelines for this research. \u003ca href=\"http://asilomar-highered.info/\">The Asilomar Convention\u003c/a> was in the spirit of the Belmont Report of 1979, which created the rules in use today to evaluate research involving human subjects.\u003c/p>\n\u003cp>But the existing human-subject rules fit the new data-driven world \"only awkwardly,\" Stevens says.\u003c/p>\n\u003cp>Take the most basic principle: informed consent. It says that research subjects should be notified in advance of the nature and purposes of an experiment and be able to choose whether to participate.\u003c/p>\n\u003cp>But what does informed consent really mean when data collection occurs invisibly, done along with an action like turning in your homework?\u003c/p>\n\u003cp>Another catch: Often, scientists can't or don't want to specify the purposes of an experiment in advance, since they identify important patterns only after collecting a bunch of data.\u003c/p>\n\u003cp>Yet another set of concerns arises because a lot of the new educational data collection is proprietary. Companies like Pearson, Blackboard and Coursera each have information on millions of learners.\u003c/p>\n\u003cp>\"This is not a new problem for science,\" Stevens says, pointing to pharmaceutical and medical research. \"But it is a new fact in the field of education research.\"\u003c/p>\n\u003cp>A fact that raises big questions: Who owns this data? The student, the institution, the company or some combination? Who gets to decide what is done in whose best interest?\u003c/p>\n\u003cp>Asilomar came up with a set of broad principles that include \"openness,\" \"justice,\" and \"beneficence.\" The final one is \"continuous consideration,\" which, essentially, acknowledges that ethics remain a moving target in these situations.\u003c/p>\n\u003cp>\u003cstrong>'Stereotype Threat' And The 'Pygmalion Effect'\u003c/strong>\u003c/p>\n\u003cp>The field of learning analytics isn't just about advancing the understanding of learning. It's also being applied in efforts to try to influence and predict student behavior.\u003c/p>\n\u003cp>It's here that the ethical rubber really meets the road.\u003c/p>\n\u003cp>With the Course Signals project, for example, an algorithm flags a certain group of students as being likely to struggle. The information it draws on includes a demographic profile of the student: his or her age, whether they live on campus, and how many credits they've attempted or already earned in college. Depending on the way that prediction is communicated to teachers and students, it could have troubling implications.\u003c/p>\n\u003cp>A big one would be if the predictions unduly influenced teachers' perceptions of their students.\u003c/p>\n\u003cp>A body of research going back decades confirms that, if teachers are informed that students are gifted, the students will produce better outcomes, regardless of whether the students really are gifted. It's called the \u003ca href=\"http://eric.ed.gov/?id=EJ092071\">Pygmalion Effect.\u003c/a>\u003c/p>\n\u003cp>\"One of the worst possibilities is that we stereotype students,\" says Justin Reich, who does learning analytics research for the MOOC platform HarvardX. \"Any day is the day a kid could turn things around.\"\u003c/p>\n\u003cp>And what about the impact of this information on the students themselves?\u003c/p>\n\u003cp>Research on \u003ca href=\"http://psycnet.apa.org/journals/psp/69/5/797/\">\"stereotype threat\"\u003c/a> shows that merely being reminded of one's minority status can be enough to depress test performance. Does telling them they have been \"red flagged\" make them more likely to fail or give up?\u003c/p>\n\u003cp>In some courses using Course Signals, students do, in fact, tend to withdraw earlier than they otherwise would. \"The self-fulfilling prophecy is a concern for a lot of folks,\" Pistilli says.\u003c/p>\n\u003cp>Most of these conversations are, for now, hypothetical. Learning analytics has yet to demonstrate its big beneficial breakthrough, its \"penicillin,\" in the words of Reich. Nor has there been a big ethical failure to creep lots of people out.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>But there's no reason to wait for a disaster to start setting some ground rules. \"There's a difference,\" Pistilli says, \"between what we can do and what we should do.\"\u003c/p>\n\u003cdiv class=\"fullattribution\">\u003cem>This post first appeared on \u003ca href=\"http://www.npr.org/blogs/ed/2014/07/04/327745863/big-data-comes-to-college\" target=\"_blank\">NPR\u003c/a>.\u003c/em>\u003c/div>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/mindshift/36674/the-facebook-conundrum-where-ethics-and-science-collide","authors":["byline_mindshift_36674"],"categories":["mindshift_195"],"tags":["mindshift_631","mindshift_31","mindshift_1040","mindshift_927"],"featImg":"mindshift_36675","label":"mindshift"},"mindshift_29173":{"type":"posts","id":"mindshift_29173","meta":{"index":"posts_1591205157","site":"mindshift","id":"29173","score":null,"sort":[1370440856000]},"guestAuthors":[],"slug":"six-big-trends-in-education-to-follow","title":"Six Big Tech Trends in Education to Follow","publishDate":1370440856,"format":"aside","headTitle":"MindShift | KQED News","labelTerm":{"site":"mindshift"},"content":"\u003cfigure id=\"attachment_29185\" class=\"wp-caption center\" style=\"max-width: 640px\">\u003ca href=\"http://www.flickr.com/photos/creative_tools/8121270672/sizes/z/in/photolist-dnDCQ9-dnDCWS-eatAQB-eaziML-eayNSG-eatCK2-eatBjc-eazhzq-eazgNs-eat9FF-eazhmm-eayN8d-eatCsK-bySB1L-cDUj1u-cfo2jj-cfo2eb-9qpi4a-dzG5qe-hCTKm-9jrZuo-bL7DwD-7BmhmV-ejeeCw-ejeaNY-ej8uiD-ej8u4a-ejeccb-ej8tAt-ej8uZe-8oSz1T-efqXz7-efkb4r-efkczp-efqUj3-efkdgB-efkcep-efkazz-efkcM4-efqUyo-efkbQZ-efkd2k-efkaQe-efkthF-efqVwY-efrdfb-efqVjm-efqWrh-a2Bsjm-6U6fw4-dfLX5n/\">\u003cimg class=\"size-full wp-image-29185\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/06/8121270672_ef6e775342_z1.jpg\" alt=\"3D printers in schools will be common.\" width=\"640\" height=\"360\" srcset=\"https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1.jpg 640w, https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1-400x225.jpg 400w, https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1-320x180.jpg 320w\" sizes=\"(max-width: 640px) 100vw, 640px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">3D printers in schools will be common.\u003c/figcaption>\u003c/figure>\n\u003cp class=\"dropcap-serif\">Big data, open content, mobile learning, and digital printing are the big themes represented in this year's \u003ca href=\"http://go.nmc.org/2013-k12\">NMC Horizon Report: 2013 K-12 Edition\u003c/a>. The report is a collaboration between the \u003ca href=\"http://www.nmc.org/about\">New Media Consortium\u003c/a>, the \u003ca href=\"http://www.cosn.org/\">Consortium for School Networking\u003c/a>, and the \u003ca href=\"https://www.iste.org/\">International Society for Technology in Education\u003c/a>, pulling together an international group of experts to discuss trends and measure how mainstream emerging ed-tech approaches have become.\u003c/p>\n\u003cp>As with all of its reports, the group makes near, middle, and long-term projections for technology trends, as well as broader observations about the direction of the field and its challenges. What’s striking in this year’s report is that many of the projections for the K-12 space match those made in February in the \u003ca href=\"http://ww2.kqed.org/mindshift/2013/02/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech/\">NMC Horizons Report on Higher Education.\u003c/a>\u003c/p>\n\u003cp>Here are the big takeaways.\u003c/p>\n\u003cp>\u003cstrong>TRENDS\u003c/strong>\u003c/p>\n\u003cp>The presence of the Internet in students’ lives outside of school, and especially on mobile devices, is allowing for more online and blended learning models in classrooms. That trend is supported by an increasing tolerance and even excitement among teachers for \u003ca href=\"http://ww2.kqed.org/mindshift/tag/mobile-learning/\">mobile devices as learning tools\u003c/a>. As the cost of devices continues to come down, they proliferate in classrooms and can be powerful learning tools.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Print and digital textbooks are getting some serious competition from \u003ca href=\"http://ww2.kqed.org/mindshift/tag/open-source/\">open-source content\u003c/a>, which has captured the imagination of educators who are finding valuable content outside the prescribed realm of textbooks.\u003c/p>\n\u003cp>At the same time, educators feel less isolated and more inspired by relationships with colleagues fostered through social media. Some are even discovering new joy in their profession with increased access to lesson ideas and new teaching practices.\u003c/p>\n\u003cp>\u003cstrong>CHALLENGES\u003c/strong>\u003c/p>\n\u003cp>The big challenges for better using education technology are similar to ones that have long existed. There isn’t enough professional development to help educators feel comfortable using new strategies and it often isn’t part of a school’s culture. Resistance to trying new approaches remains prevalent and the status quo continues to exert a powerful inertia on the system, preventing a broader use of good ideas.\u003c/p>\n\u003cp>Traditional models of schooling are experiencing more competition than ever before with charter schools, for-profit operators, online learning and MOOCs pushing for change. Similarly, traditional teaching that relies on lectures and tests is being challenged by blended models of instruction.\u003c/p>\n\u003cp>There’s a large demand for personalized learning, but the technology tools don’t yet support the goals of those who want to use it -- a big gap still exists between overall vision and available tools. Meanwhile, even as teachers are shifting to more formative assessments taken continually throughout the school year, assessment policies have not always shifted to match this change. But educators think there's potential for digital tools to help collect formative assessment data unobtrusively.\u003c/p>\n\u003cp>\u003cstrong>NEAR-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>In the next year, the NMC Horizon Report for K-12 predicts that the expectation for constant connectivity will push schools towards cloud-based computing. This trend can already be seen as schools farm out parts of their infrastructure to the cloud, but new devices like Google’s Chromebook designed to sync with the cloud are further pushing adoption.\u003c/p>\n\u003cp>\u003ca href=\"http://ww2.kqed.org/mindshift/tag/mobile-learning/\">Mobile learning\u003c/a> has been a hot topic for several years, but it has not reached the 20 percent penetration level that NMC uses to designate a tactic mainstream. This could be its year. Some educators surveyed said they jumped on the idea of using smartphones in class right away, while others said they were more wary of the potential distractions and disruption the devices could cause. Still, the \u003ca href=\"http://ww2.kqed.org/mindshift/feature/educational-apps/\">educational app\u003c/a> market for mobile devices has exploded and shows no signs of slowing down, indicating that as the tools get better and better mobile learning will become common place.\u003c/p>\n\u003cp>\u003cstrong>MID-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>The mid-level predictions, set for two to three years from now, line up most closely with trends in higher education. Both reports -- K12 and Higher Education -- noted the power and increasing prevalence of \u003ca href=\"http://ww2.kqed.org/mindshift/tag/learning-analytics/\">learning analytics\u003c/a>, the practice of analyzing real time data from digital learning platforms and using that information to shape teaching strategies for individual students.\u003c/p>\n\u003cp>Student-data can now be used to tailor curricula and to suggest resources for students akin to the algorithms businesses use to market products to consumers. Similarly, in higher education learning analytics are being used to tailor the advising process. Perhaps even more significantly, the \u003ca href=\"http://ww2.kqed.org/mindshift/tag/mooc/\">MOOCs\u003c/a> that challenge the higher education paradigm rely heavily on learning analytics to direct, grade, and guide learners.\u003c/p>\n\u003cp>The second projection notes the rise in high-quality open content available to students around the world. \u003ca href=\"http://ww2.kqed.org/mindshift/2011/04/10-ways-open-courseware-has-freed-education/\">Started by MIT more than ten years ago\u003c/a>, this movement has grown rapidly and garnered excitement, especially as a way to equalize access to education. It also gives students much more choice in the learning they consume. Open-content in the form of MOOCs are already disrupting the higher education space, but this report indicates K-12 is not far behind.\u003c/p>\n\u003cp>\u003cstrong>LONG-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>3D printing has captured the imagination of people at all ages, especially as movements towards design learning take off in K-12 schools. The report notes that digital printing machines cost much less now, and that within five years it would be possible for schools to own one. Teachers can use these them to explain design concepts and to prototype building projects.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>The only really new prediction in the report is for virtual and \u003ca href=\"http://ww2.kqed.org/mindshift/2011/04/can-cell-phones-fry-your-brain-ask-student-scientists/\">remote labs\u003c/a> to provide students access to scientific experiences even as school districts cut back on physical lab spaces in schools. The report notes that virtual labs would allow students more time and space to practice techniques and make mistakes. Also, “in virtual and remote environments, an experiment can be conducted numerous times with greater efficiency and precision.” Some schools are already using these remote labs to save money. Still, this prediction begs the question, what could be lost if students no longer practice the physical act of science?\u003c/p>\n\n","blocks":[],"excerpt":"Many of the predictions in this year's report match those made for higher education too: mobile learning, open content, cloud computing, and yes -- 3D printers.","status":"publish","parent":0,"modified":1370968748,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":22,"wordCount":1008},"headData":{"title":"Six Big Tech Trends in Education to Follow | KQED","description":"Many of the predictions in this year's report match those made for higher education too: mobile learning, open content, cloud computing, and yes -- 3D printers.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":""},"disqusIdentifier":"29173 http://blogs.kqed.org/mindshift/?p=29173","disqusUrl":"https://ww2.kqed.org/mindshift/2013/06/05/six-big-trends-in-education-to-follow/","disqusTitle":"Six Big Tech Trends in Education to Follow","path":"/mindshift/29173/six-big-trends-in-education-to-follow","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cfigure id=\"attachment_29185\" class=\"wp-caption center\" style=\"max-width: 640px\">\u003ca href=\"http://www.flickr.com/photos/creative_tools/8121270672/sizes/z/in/photolist-dnDCQ9-dnDCWS-eatAQB-eaziML-eayNSG-eatCK2-eatBjc-eazhzq-eazgNs-eat9FF-eazhmm-eayN8d-eatCsK-bySB1L-cDUj1u-cfo2jj-cfo2eb-9qpi4a-dzG5qe-hCTKm-9jrZuo-bL7DwD-7BmhmV-ejeeCw-ejeaNY-ej8uiD-ej8u4a-ejeccb-ej8tAt-ej8uZe-8oSz1T-efqXz7-efkb4r-efkczp-efqUj3-efkdgB-efkcep-efkazz-efkcM4-efqUyo-efkbQZ-efkd2k-efkaQe-efkthF-efqVwY-efrdfb-efqVjm-efqWrh-a2Bsjm-6U6fw4-dfLX5n/\">\u003cimg class=\"size-full wp-image-29185\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/06/8121270672_ef6e775342_z1.jpg\" alt=\"3D printers in schools will be common.\" width=\"640\" height=\"360\" srcset=\"https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1.jpg 640w, https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1-400x225.jpg 400w, https://ww2.kqed.org/app/uploads/sites/23/2013/06/8121270672_ef6e775342_z1-320x180.jpg 320w\" sizes=\"(max-width: 640px) 100vw, 640px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">3D printers in schools will be common.\u003c/figcaption>\u003c/figure>\n\u003cp class=\"dropcap-serif\">Big data, open content, mobile learning, and digital printing are the big themes represented in this year's \u003ca href=\"http://go.nmc.org/2013-k12\">NMC Horizon Report: 2013 K-12 Edition\u003c/a>. The report is a collaboration between the \u003ca href=\"http://www.nmc.org/about\">New Media Consortium\u003c/a>, the \u003ca href=\"http://www.cosn.org/\">Consortium for School Networking\u003c/a>, and the \u003ca href=\"https://www.iste.org/\">International Society for Technology in Education\u003c/a>, pulling together an international group of experts to discuss trends and measure how mainstream emerging ed-tech approaches have become.\u003c/p>\n\u003cp>As with all of its reports, the group makes near, middle, and long-term projections for technology trends, as well as broader observations about the direction of the field and its challenges. What’s striking in this year’s report is that many of the projections for the K-12 space match those made in February in the \u003ca href=\"http://ww2.kqed.org/mindshift/2013/02/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech/\">NMC Horizons Report on Higher Education.\u003c/a>\u003c/p>\n\u003cp>Here are the big takeaways.\u003c/p>\n\u003cp>\u003cstrong>TRENDS\u003c/strong>\u003c/p>\n\u003cp>The presence of the Internet in students’ lives outside of school, and especially on mobile devices, is allowing for more online and blended learning models in classrooms. That trend is supported by an increasing tolerance and even excitement among teachers for \u003ca href=\"http://ww2.kqed.org/mindshift/tag/mobile-learning/\">mobile devices as learning tools\u003c/a>. As the cost of devices continues to come down, they proliferate in classrooms and can be powerful learning tools.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Print and digital textbooks are getting some serious competition from \u003ca href=\"http://ww2.kqed.org/mindshift/tag/open-source/\">open-source content\u003c/a>, which has captured the imagination of educators who are finding valuable content outside the prescribed realm of textbooks.\u003c/p>\n\u003cp>At the same time, educators feel less isolated and more inspired by relationships with colleagues fostered through social media. Some are even discovering new joy in their profession with increased access to lesson ideas and new teaching practices.\u003c/p>\n\u003cp>\u003cstrong>CHALLENGES\u003c/strong>\u003c/p>\n\u003cp>The big challenges for better using education technology are similar to ones that have long existed. There isn’t enough professional development to help educators feel comfortable using new strategies and it often isn’t part of a school’s culture. Resistance to trying new approaches remains prevalent and the status quo continues to exert a powerful inertia on the system, preventing a broader use of good ideas.\u003c/p>\n\u003cp>Traditional models of schooling are experiencing more competition than ever before with charter schools, for-profit operators, online learning and MOOCs pushing for change. Similarly, traditional teaching that relies on lectures and tests is being challenged by blended models of instruction.\u003c/p>\n\u003cp>There’s a large demand for personalized learning, but the technology tools don’t yet support the goals of those who want to use it -- a big gap still exists between overall vision and available tools. Meanwhile, even as teachers are shifting to more formative assessments taken continually throughout the school year, assessment policies have not always shifted to match this change. But educators think there's potential for digital tools to help collect formative assessment data unobtrusively.\u003c/p>\n\u003cp>\u003cstrong>NEAR-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>In the next year, the NMC Horizon Report for K-12 predicts that the expectation for constant connectivity will push schools towards cloud-based computing. This trend can already be seen as schools farm out parts of their infrastructure to the cloud, but new devices like Google’s Chromebook designed to sync with the cloud are further pushing adoption.\u003c/p>\n\u003cp>\u003ca href=\"http://ww2.kqed.org/mindshift/tag/mobile-learning/\">Mobile learning\u003c/a> has been a hot topic for several years, but it has not reached the 20 percent penetration level that NMC uses to designate a tactic mainstream. This could be its year. Some educators surveyed said they jumped on the idea of using smartphones in class right away, while others said they were more wary of the potential distractions and disruption the devices could cause. Still, the \u003ca href=\"http://ww2.kqed.org/mindshift/feature/educational-apps/\">educational app\u003c/a> market for mobile devices has exploded and shows no signs of slowing down, indicating that as the tools get better and better mobile learning will become common place.\u003c/p>\n\u003cp>\u003cstrong>MID-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>The mid-level predictions, set for two to three years from now, line up most closely with trends in higher education. Both reports -- K12 and Higher Education -- noted the power and increasing prevalence of \u003ca href=\"http://ww2.kqed.org/mindshift/tag/learning-analytics/\">learning analytics\u003c/a>, the practice of analyzing real time data from digital learning platforms and using that information to shape teaching strategies for individual students.\u003c/p>\n\u003cp>Student-data can now be used to tailor curricula and to suggest resources for students akin to the algorithms businesses use to market products to consumers. Similarly, in higher education learning analytics are being used to tailor the advising process. Perhaps even more significantly, the \u003ca href=\"http://ww2.kqed.org/mindshift/tag/mooc/\">MOOCs\u003c/a> that challenge the higher education paradigm rely heavily on learning analytics to direct, grade, and guide learners.\u003c/p>\n\u003cp>The second projection notes the rise in high-quality open content available to students around the world. \u003ca href=\"http://ww2.kqed.org/mindshift/2011/04/10-ways-open-courseware-has-freed-education/\">Started by MIT more than ten years ago\u003c/a>, this movement has grown rapidly and garnered excitement, especially as a way to equalize access to education. It also gives students much more choice in the learning they consume. Open-content in the form of MOOCs are already disrupting the higher education space, but this report indicates K-12 is not far behind.\u003c/p>\n\u003cp>\u003cstrong>LONG-TERM PROJECTIONS\u003c/strong>\u003c/p>\n\u003cp>3D printing has captured the imagination of people at all ages, especially as movements towards design learning take off in K-12 schools. The report notes that digital printing machines cost much less now, and that within five years it would be possible for schools to own one. Teachers can use these them to explain design concepts and to prototype building projects.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>The only really new prediction in the report is for virtual and \u003ca href=\"http://ww2.kqed.org/mindshift/2011/04/can-cell-phones-fry-your-brain-ask-student-scientists/\">remote labs\u003c/a> to provide students access to scientific experiences even as school districts cut back on physical lab spaces in schools. The report notes that virtual labs would allow students more time and space to practice techniques and make mistakes. Also, “in virtual and remote environments, an experiment can be conducted numerous times with greater efficiency and precision.” Some schools are already using these remote labs to save money. Still, this prediction begs the question, what could be lost if students no longer practice the physical act of science?\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/mindshift/29173/six-big-trends-in-education-to-follow","authors":["234"],"categories":["mindshift_195"],"tags":["mindshift_20509","mindshift_547","mindshift_927","mindshift_187","mindshift_820","mindshift_755","mindshift_431"],"featImg":"mindshift_29185","label":"mindshift"},"mindshift_26903":{"type":"posts","id":"mindshift_26903","meta":{"index":"posts_1591205157","site":"mindshift","id":"26903","score":null,"sort":[1360611531000]},"guestAuthors":[],"slug":"the-upside-and-dark-side-of-collecting-student-data","title":"The Upside and Dark Side of Collecting Student Data","publishDate":1360611531,"format":"aside","headTitle":"MindShift | KQED News","labelTerm":{"site":"mindshift"},"content":"\u003cfigure id=\"attachment_27048\" class=\"wp-caption center\" style=\"max-width: 620px\">\u003cimg class=\"size-large wp-image-27048\" title=\"\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/02/student-Internet-use-620x387.gif\" alt=\"student-Internet-use\" width=\"620\" height=\"387\">\u003cfigcaption class=\"wp-caption-text\"> \u003c/figcaption>\u003c/figure>\n\u003cp class=\"dropcap-serif\">As learning increasingly moves toward the digital landscape, the role of data is also coming under more scrutiny. Every time a student browses the Internet or uses an app for learning, trace data is created, and thus the potential to use it for the benefit of that student.\u003c/p>\n\u003cp>A slew of companies and products offer the promise of collecting data to help educators, but there are still major concerns about how that data will be used, including issues around student privacy and teacher evaluations.\u003c/p>\n\u003cp>\u003ca href=\"http://blog.reyjunco.com/\">Reynol Junco\u003c/a>, faculty associate at Harvard’s Berkman Center for Internet and Society, is studying the role of data in education, and says the potential for using learning analytics for students' benefit is far from being realized. Using data as formative assessment -- providing feedback to students in incremental steps rather than with big tests like mid-terms or finals -- can be helpful to both students and teachers, he says.\u003c/p>\n\u003caside class=\"pullquote alignleft\">\u003cstrong>“It's collecting large amounts of data to identify patterns that will help tailor education more precisely for each child.”\u003c/strong>\u003c/aside>\n\u003cp>\"I think of learning analytics as the ultimate formative assessment. We're always talking in education about how formative assessments are very important. It's important to assess frequently and to make adjustments,\" he said recently on \u003ca href=\"http://m.npr.org/story/170490218\">NPR's Tell Me More\u003c/a>. \"We've got data well before a student will flunk a first exam or a quiz and so we can make some predictions about the things that \u003c!--more-->they're doing and how we might intervene before we get to that point.\u003c/p>\n\u003cp>Junco sees potential for trace data to further individualize learning, or at the very least help educators understand how their students use the Internet.“It's collecting large amounts of data to identify patterns that will help tailor education more precisely for each child,” Junco said. “Some of my research has already shown that we can use things like how much time students spend on Facebook and what they do on Facebook to predict academic outcomes,” Junco said. In \u003ca href=\"http://reyjunco.com/wordpress/pdf/JuncoMultitaskingCHB2012.pdf\">that study [PDF]\u003c/a> he learned that students who use Facebook in class to socialize have lower GPAs.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp style=\"text-align: center\">\u003cstrong>[RELATED READING: \u003ca href=\"http://ww2.kqed.org/mindshift/2012/01/what-does-your-school-know-about-you/\">What Does Your School Know About You?\u003c/a>]\u003c/strong>\u003c/p>\n\u003cp>But Junco also understands the dark side of data. When it comes to small kids using mobile apps to play games, Junco believes data collection for the purposes of companies tracking children's locations and activities goes too far.\u003c/p>\n\u003cp>\"Such tracking builds profiles of children (their likes, dislikes, browsing habits, etc.) for insidious forms of marketing,\" he \u003ca href=\"http://blog.reyjunco.com/mobile-apps-and-youth-privacy\">wrote \u003c/a>in response to the December report, \u003cem>\u003ca href=\"http://www.ftc.gov/os/2012/12/121210mobilekidsappreport.pdf\" target=\"_blank\">Mobile Apps for Kids\u003c/a>\u003c/em>, by the Federal Trade Commission about the Children’s Online Privacy Protection Act (\u003ca href=\"http://www.coppa.org/coppa.htm\" target=\"_blank\">COPPA\u003c/a>) requirements.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>That report found that 59 percent of the 400 apps reviewed some infromation from the user's mobile device back to the developer or to a third party. And only 20 percent of apps disclosed information about how they collect data.\u003c/p>\n\n","blocks":[],"excerpt":null,"status":"publish","parent":0,"modified":1360611531,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":9,"wordCount":496},"headData":{"title":"The Upside and Dark Side of Collecting Student Data | KQED","description":"As learning increasingly moves toward the digital landscape, the role of data is also coming under more scrutiny. Every time a student browses the Internet or uses an app for learning, trace data is created, and thus the potential to use it for the benefit of that student. A slew of companies and products offer","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":""},"disqusIdentifier":"26903 http://blogs.kqed.org/mindshift/?p=26903","disqusUrl":"https://ww2.kqed.org/mindshift/2013/02/11/the-upside-and-dark-side-of-collecting-student-data/","disqusTitle":"The Upside and Dark Side of Collecting Student Data","path":"/mindshift/26903/the-upside-and-dark-side-of-collecting-student-data","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cfigure id=\"attachment_27048\" class=\"wp-caption center\" style=\"max-width: 620px\">\u003cimg class=\"size-large wp-image-27048\" title=\"\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/02/student-Internet-use-620x387.gif\" alt=\"student-Internet-use\" width=\"620\" height=\"387\">\u003cfigcaption class=\"wp-caption-text\"> \u003c/figcaption>\u003c/figure>\n\u003cp class=\"dropcap-serif\">As learning increasingly moves toward the digital landscape, the role of data is also coming under more scrutiny. Every time a student browses the Internet or uses an app for learning, trace data is created, and thus the potential to use it for the benefit of that student.\u003c/p>\n\u003cp>A slew of companies and products offer the promise of collecting data to help educators, but there are still major concerns about how that data will be used, including issues around student privacy and teacher evaluations.\u003c/p>\n\u003cp>\u003ca href=\"http://blog.reyjunco.com/\">Reynol Junco\u003c/a>, faculty associate at Harvard’s Berkman Center for Internet and Society, is studying the role of data in education, and says the potential for using learning analytics for students' benefit is far from being realized. Using data as formative assessment -- providing feedback to students in incremental steps rather than with big tests like mid-terms or finals -- can be helpful to both students and teachers, he says.\u003c/p>\n\u003caside class=\"pullquote alignleft\">\u003cstrong>“It's collecting large amounts of data to identify patterns that will help tailor education more precisely for each child.”\u003c/strong>\u003c/aside>\n\u003cp>\"I think of learning analytics as the ultimate formative assessment. We're always talking in education about how formative assessments are very important. It's important to assess frequently and to make adjustments,\" he said recently on \u003ca href=\"http://m.npr.org/story/170490218\">NPR's Tell Me More\u003c/a>. \"We've got data well before a student will flunk a first exam or a quiz and so we can make some predictions about the things that \u003c!--more-->they're doing and how we might intervene before we get to that point.\u003c/p>\n\u003cp>Junco sees potential for trace data to further individualize learning, or at the very least help educators understand how their students use the Internet.“It's collecting large amounts of data to identify patterns that will help tailor education more precisely for each child,” Junco said. “Some of my research has already shown that we can use things like how much time students spend on Facebook and what they do on Facebook to predict academic outcomes,” Junco said. In \u003ca href=\"http://reyjunco.com/wordpress/pdf/JuncoMultitaskingCHB2012.pdf\">that study [PDF]\u003c/a> he learned that students who use Facebook in class to socialize have lower GPAs.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp style=\"text-align: center\">\u003cstrong>[RELATED READING: \u003ca href=\"http://ww2.kqed.org/mindshift/2012/01/what-does-your-school-know-about-you/\">What Does Your School Know About You?\u003c/a>]\u003c/strong>\u003c/p>\n\u003cp>But Junco also understands the dark side of data. When it comes to small kids using mobile apps to play games, Junco believes data collection for the purposes of companies tracking children's locations and activities goes too far.\u003c/p>\n\u003cp>\"Such tracking builds profiles of children (their likes, dislikes, browsing habits, etc.) for insidious forms of marketing,\" he \u003ca href=\"http://blog.reyjunco.com/mobile-apps-and-youth-privacy\">wrote \u003c/a>in response to the December report, \u003cem>\u003ca href=\"http://www.ftc.gov/os/2012/12/121210mobilekidsappreport.pdf\" target=\"_blank\">Mobile Apps for Kids\u003c/a>\u003c/em>, by the Federal Trade Commission about the Children’s Online Privacy Protection Act (\u003ca href=\"http://www.coppa.org/coppa.htm\" target=\"_blank\">COPPA\u003c/a>) requirements.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>That report found that 59 percent of the 400 apps reviewed some infromation from the user's mobile device back to the developer or to a third party. And only 20 percent of apps disclosed information about how they collect data.\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/mindshift/26903/the-upside-and-dark-side-of-collecting-student-data","authors":["234"],"categories":["mindshift_192","mindshift_193"],"tags":["mindshift_631","mindshift_691","mindshift_927"],"featImg":"mindshift_26906","label":"mindshift"},"mindshift_26962":{"type":"posts","id":"mindshift_26962","meta":{"index":"posts_1591205157","site":"mindshift","id":"26962","score":null,"sort":[1360265164000]},"guestAuthors":[],"slug":"higher-ed-trends-moocs-tablets-gamification-and-wearable-tech","title":"Higher Ed Trends: MOOCs, Tablets, Gamification, and Wearable Tech","publishDate":1360265164,"format":"aside","headTitle":"MindShift | KQED News","labelTerm":{"site":"mindshift"},"content":"\u003cdiv id=\"attachment_26965\" class=\"module image alignright mceTemp\" style=\"width: 620px\">\n\u003cp>\u003ca href=\"http://ww2.kqed.org/mindshift/2013/02/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech/cal/\" rel=\"attachment wp-att-26965\">\u003cimg class=\"size-large wp-image-26965\" title=\"\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/02/CAL-620x393.gif\" alt=\"CAL\" width=\"620\" height=\"393\">\u003c/a>\u003c/p>\n\u003cp class=\"wp-media-credit\">Justin Sullivan/Getty Images\u003c/p>\n\u003c/div>\n\u003cp class=\"dropcap-serif\">As tech tools continue to proliferate with new launches and new products, it's difficult to predict what will stick and what won't. A recently released report by the\u003ca href=\"http://www.nmc.org/about\"> New Media Consortium\u003c/a> and\u003ca href=\"http://www.educause.edu/eli\"> EDUCAUSE Learning Initiative\u003c/a> (ELI) tries to sift through the fads and find the few that will have a real impact on education in the next few years.\u003c/p>\n\u003cp>What's worth noting? Sometimes what seemed impossible only a few years ago has already become a new trend. The \u003ca href=\"http://www.nmc.org/publications/2013-horizon-report-higher-ed\">2013 NMC Horizon’s Report on Higher Education,\u003c/a> which brings together international experts in education and technology, attempts to take the pulse of emerging technologies in higher education and predict where the field will move in the near, middle and far term.\u003c/p>\n\u003cp>The report points to MOOCs,\u003ca href=\"http://ww2.kqed.org/mindshift/2012/05/guide-to-free-quality-higher-education/\"> Massive Open Online Courses,\u003c/a> as the big change agent in the higher ed landscape, but it also reaches a little further, bringing 3D printing and wearable technology into the mix.\u003c/p>\n\u003cp>\u003cstrong>KEY FACTORS\u003c/strong>\u003c/p>\n\u003cp>The panel considered some key factors influencing whether technologies take hold, identifying a move towards “open” content and the ability to share, manipulate, and mold. Even more critical for institutions of higher education is the rise of MOOCs. As more elite institutions align themselves \u003c!--more-->with one MOOC organization or another, university leaders are considering the idea of “micro-credit” as an alternative to the traditional credits given at brick and mortar universities.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp style=\"text-align: center\">\u003cstrong>\u003cspan style=\"color: #808080\">[RELATED READING:\u003ca href=\"http://ww2.kqed.org/mindshift/2012/12/for-the-future-student-higher-education-will-be-redefined/\"> For the Future Student, Higher Education Will Be Redefined\u003c/a>]\u003c/span>\u003c/strong>\u003c/p>\n\u003cp>Equally important to information access are \u003ca href=\"http://ww2.kqed.org/mindshift/2013/01/faces-of-the-new-higher-ed-learning-by-working/\">skills that employers expect recent graduates to bring with them\u003c/a> -- like communication and critical thinking. These skills are often augmented by real-world or informal learning experiences that move beyond the college lecture hall. Acknowledging that the trend of personalization and taking it a step further, the report also notes the increasing importance of\u003ca href=\"http://ww2.kqed.org/mindshift/2012/08/understanding-learning-analytics-and-student-data/\"> learning analytics\u003c/a>. Colleges will need to follow a student’s digital footprint to better tailor their educational experience. And all of this means a different role for university instructors. Students have much better access to knowledge through technology which necessitates that professors become mentors, collaborators, facilitators and ultimately not the center of the learning experience.\u003c/p>\n\u003cp>\u003cstrong>CHALLENGES\u003c/strong>\u003c/p>\n\u003cp>By and large the biggest barriers to implementing technology in higher education are the institutions and people who run them. Employers increasingly recognize that digital media literacy is an important skill set in the coming decades, but university faculty are neither equipped to teach those skills nor especially proficient themselves in many cases.\u003c/p>\n\u003cp>Lack of digital fluency is affecting scholarly collaboration, as well. Social media, blogging, link backs and other tech-based publication methods are not well understood or recognized by older, traditional faculty and administration. It’s far easier to continue with the status quo and too often professors trying new things are seen as teaching outside their role. This stodgy mentality stifles innovation.\u003c/p>\n\u003caside class=\"pullquote alignleft\">\u003cstrong>\"Simply capitalizing on new technology is not enough; the new models must use these tools and services to engage students on a deeper level.”\u003c/strong>\u003c/aside>\n\u003cp>The panel also found that while there is a hunger for more personalized learning, the demand is not well supported by the technology. The mechanics of earning analytics are still in the nascent stages. Collecting, collating, and understanding the sheer volume of data is overwhelming to most at traditional universities. Many college instructors are not using technology in their research or in their teaching. It would take a larger cultural shift before many technologies could be considered widespread.\u003c/p>\n\u003cp style=\"text-align: center\">\u003cspan style=\"color: #808080\">\u003cstrong>[RELATED READING: \u003ca href=\"http://ww2.kqed.org/mindshift/2012/06/can-free-high-quality-education-get-you-a-job/\">Can Free, High-Quality Education Get You a Job?\u003c/a>]\u003c/strong>\u003c/span>\u003c/p>\n\u003cp>Lastly, the competition that MOOCs are bringing to the long-held university system is challenging the value of higher education. Many argue the competition is exactly what slow-moving universities need to change, but others wonder if the instruction offered by MOOCs reaches the same caliber. “As these new platforms emerge, however, there is a need to frankly evaluate the models and determine how to best support collaboration, interaction, and assessment at scale. Simply capitalizing on new technology is not enough; the new models must use these tools and services to engage students on a deeper level,” the report notes.\u003c/p>\n\u003cp>\u003cstrong>NEAR-TERM PREDICTIONS (WITHIN THE YEAR)\u003c/strong>\u003c/p>\n\u003cp>Both MOOCs and tablets will be widely adopted in university settings within the year. The popularity of MOOCs like Coursera, Udacity and edX are undeniable with enrollment in some classes exceeding 100,000 students. Unparalleled access excites many people, but raises questions. “One of the most appealing promises of MOOCs is that they offer the possibility for continued, advanced learning at zero cost, allowing students, life-long learners, and professionals to acquire new skills and improve their knowledge and employability,” notes the report.\u003c/p>\n\u003caside class=\"pullquote alignright\">\u003cstrong>“Student-specific data can now be used to customize online course platforms and suggest resources to students in the same way that businesses tailor advertisements and offers to customers.”\u003c/strong>\u003c/aside>\n\u003cp>As for tech hardware, tablets fit well with the university lifestyle. They’re light, portable, and allow students to interact with the lesson and their networks at the same time. Competition in the tablet space has increased, driving down the price and pushing the limits of capability. The report predicts tablet manufacturers will continue to offer more robust options for less money.\u003c/p>\n\u003cp>\u003cstrong>MID-TERM (TWO TO THREE YEARS)\u003c/strong>\u003c/p>\n\u003cp>A big prediction here is the rise of games and gamification to encourage students to participate with material in deeper ways. Educational gaming might seem like old news to some, but most often \u003ca href=\"http://ww2.kqed.org/mindshift/?s=gaming&x=0&y=0\">gaming comes up in a K-12 context\u003c/a>. Now the same benefits are being applied to older students and more complicated subjects. Most of the excitement centers on gamification – integrating mechanics of games into non-game situations to inspire creativity and productivity. The strategy works well for many businesses and is gradually making its way onto college campuses.\u003c/p>\n\u003cp>Similarly, the report predicts that learning analytics will find a foothold in higher education in the next few years. “Student-specific data can now be used to customize online course platforms and suggest resources to students in the same way that businesses tailor advertisements and offers to customers,” the report said. Universities are already using big data to improve advising and help offer advice and strategies to struggling learners to improve retention. The data can also help universities to better allocate resources, fill holes and accurately understand how well they are serving students.\u003c/p>\n\u003cp>\u003cstrong>LONG TERM (FOUR TO FIVE YEARS)\u003c/strong>\u003c/p>\n\u003cp>The rise of the\u003ca href=\"http://ww2.kqed.org/mindshift/?s=Maker+Faire&x=0&y=0\"> Maker movement\u003c/a> has helped launch 3D printing back into the NMC Horizons predictions where it first appeared in 2004. The emphasis on design learning and DIY culture make 3D printers appealing.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>Wearable technology will take off on college campuses as thin film technology makes it possible for screens to mold around body curves. And these devices aren’t just cool. “Wearable devices are also proving to be effective tools for research because they use sensors to track data, such as vital signs, in real-time. Although wearable technology is not yet pervasive in higher education, the current highly functional clothing and accessories in the consumer space show great promise,” the report says.\u003c/p>\n\n","blocks":[],"excerpt":null,"status":"publish","parent":0,"modified":1366049850,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":22,"wordCount":1208},"headData":{"title":"Higher Ed Trends: MOOCs, Tablets, Gamification, and Wearable Tech | KQED","description":"Justin Sullivan/Getty Images As tech tools continue to proliferate with new launches and new products, it's difficult to predict what will stick and what won't. A recently released report by the New Media Consortium and EDUCAUSE Learning Initiative (ELI) tries to sift through the fads and find the few that will have a real impact","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":""},"disqusIdentifier":"26962 http://blogs.kqed.org/mindshift/?p=26962","disqusUrl":"https://ww2.kqed.org/mindshift/2013/02/07/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech/","disqusTitle":"Higher Ed Trends: MOOCs, Tablets, Gamification, and Wearable Tech","path":"/mindshift/26962/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cdiv id=\"attachment_26965\" class=\"module image alignright mceTemp\" style=\"width: 620px\">\n\u003cp>\u003ca href=\"http://ww2.kqed.org/mindshift/2013/02/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech/cal/\" rel=\"attachment wp-att-26965\">\u003cimg class=\"size-large wp-image-26965\" title=\"\" src=\"http://ww2.kqed.org/mindshift/wp-content/uploads/sites/23/2013/02/CAL-620x393.gif\" alt=\"CAL\" width=\"620\" height=\"393\">\u003c/a>\u003c/p>\n\u003cp class=\"wp-media-credit\">Justin Sullivan/Getty Images\u003c/p>\n\u003c/div>\n\u003cp class=\"dropcap-serif\">As tech tools continue to proliferate with new launches and new products, it's difficult to predict what will stick and what won't. A recently released report by the\u003ca href=\"http://www.nmc.org/about\"> New Media Consortium\u003c/a> and\u003ca href=\"http://www.educause.edu/eli\"> EDUCAUSE Learning Initiative\u003c/a> (ELI) tries to sift through the fads and find the few that will have a real impact on education in the next few years.\u003c/p>\n\u003cp>What's worth noting? Sometimes what seemed impossible only a few years ago has already become a new trend. The \u003ca href=\"http://www.nmc.org/publications/2013-horizon-report-higher-ed\">2013 NMC Horizon’s Report on Higher Education,\u003c/a> which brings together international experts in education and technology, attempts to take the pulse of emerging technologies in higher education and predict where the field will move in the near, middle and far term.\u003c/p>\n\u003cp>The report points to MOOCs,\u003ca href=\"http://ww2.kqed.org/mindshift/2012/05/guide-to-free-quality-higher-education/\"> Massive Open Online Courses,\u003c/a> as the big change agent in the higher ed landscape, but it also reaches a little further, bringing 3D printing and wearable technology into the mix.\u003c/p>\n\u003cp>\u003cstrong>KEY FACTORS\u003c/strong>\u003c/p>\n\u003cp>The panel considered some key factors influencing whether technologies take hold, identifying a move towards “open” content and the ability to share, manipulate, and mold. Even more critical for institutions of higher education is the rise of MOOCs. As more elite institutions align themselves \u003c!--more-->with one MOOC organization or another, university leaders are considering the idea of “micro-credit” as an alternative to the traditional credits given at brick and mortar universities.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp style=\"text-align: center\">\u003cstrong>\u003cspan style=\"color: #808080\">[RELATED READING:\u003ca href=\"http://ww2.kqed.org/mindshift/2012/12/for-the-future-student-higher-education-will-be-redefined/\"> For the Future Student, Higher Education Will Be Redefined\u003c/a>]\u003c/span>\u003c/strong>\u003c/p>\n\u003cp>Equally important to information access are \u003ca href=\"http://ww2.kqed.org/mindshift/2013/01/faces-of-the-new-higher-ed-learning-by-working/\">skills that employers expect recent graduates to bring with them\u003c/a> -- like communication and critical thinking. These skills are often augmented by real-world or informal learning experiences that move beyond the college lecture hall. Acknowledging that the trend of personalization and taking it a step further, the report also notes the increasing importance of\u003ca href=\"http://ww2.kqed.org/mindshift/2012/08/understanding-learning-analytics-and-student-data/\"> learning analytics\u003c/a>. Colleges will need to follow a student’s digital footprint to better tailor their educational experience. And all of this means a different role for university instructors. Students have much better access to knowledge through technology which necessitates that professors become mentors, collaborators, facilitators and ultimately not the center of the learning experience.\u003c/p>\n\u003cp>\u003cstrong>CHALLENGES\u003c/strong>\u003c/p>\n\u003cp>By and large the biggest barriers to implementing technology in higher education are the institutions and people who run them. Employers increasingly recognize that digital media literacy is an important skill set in the coming decades, but university faculty are neither equipped to teach those skills nor especially proficient themselves in many cases.\u003c/p>\n\u003cp>Lack of digital fluency is affecting scholarly collaboration, as well. Social media, blogging, link backs and other tech-based publication methods are not well understood or recognized by older, traditional faculty and administration. It’s far easier to continue with the status quo and too often professors trying new things are seen as teaching outside their role. This stodgy mentality stifles innovation.\u003c/p>\n\u003caside class=\"pullquote alignleft\">\u003cstrong>\"Simply capitalizing on new technology is not enough; the new models must use these tools and services to engage students on a deeper level.”\u003c/strong>\u003c/aside>\n\u003cp>The panel also found that while there is a hunger for more personalized learning, the demand is not well supported by the technology. The mechanics of earning analytics are still in the nascent stages. Collecting, collating, and understanding the sheer volume of data is overwhelming to most at traditional universities. Many college instructors are not using technology in their research or in their teaching. It would take a larger cultural shift before many technologies could be considered widespread.\u003c/p>\n\u003cp style=\"text-align: center\">\u003cspan style=\"color: #808080\">\u003cstrong>[RELATED READING: \u003ca href=\"http://ww2.kqed.org/mindshift/2012/06/can-free-high-quality-education-get-you-a-job/\">Can Free, High-Quality Education Get You a Job?\u003c/a>]\u003c/strong>\u003c/span>\u003c/p>\n\u003cp>Lastly, the competition that MOOCs are bringing to the long-held university system is challenging the value of higher education. Many argue the competition is exactly what slow-moving universities need to change, but others wonder if the instruction offered by MOOCs reaches the same caliber. “As these new platforms emerge, however, there is a need to frankly evaluate the models and determine how to best support collaboration, interaction, and assessment at scale. Simply capitalizing on new technology is not enough; the new models must use these tools and services to engage students on a deeper level,” the report notes.\u003c/p>\n\u003cp>\u003cstrong>NEAR-TERM PREDICTIONS (WITHIN THE YEAR)\u003c/strong>\u003c/p>\n\u003cp>Both MOOCs and tablets will be widely adopted in university settings within the year. The popularity of MOOCs like Coursera, Udacity and edX are undeniable with enrollment in some classes exceeding 100,000 students. Unparalleled access excites many people, but raises questions. “One of the most appealing promises of MOOCs is that they offer the possibility for continued, advanced learning at zero cost, allowing students, life-long learners, and professionals to acquire new skills and improve their knowledge and employability,” notes the report.\u003c/p>\n\u003caside class=\"pullquote alignright\">\u003cstrong>“Student-specific data can now be used to customize online course platforms and suggest resources to students in the same way that businesses tailor advertisements and offers to customers.”\u003c/strong>\u003c/aside>\n\u003cp>As for tech hardware, tablets fit well with the university lifestyle. They’re light, portable, and allow students to interact with the lesson and their networks at the same time. Competition in the tablet space has increased, driving down the price and pushing the limits of capability. The report predicts tablet manufacturers will continue to offer more robust options for less money.\u003c/p>\n\u003cp>\u003cstrong>MID-TERM (TWO TO THREE YEARS)\u003c/strong>\u003c/p>\n\u003cp>A big prediction here is the rise of games and gamification to encourage students to participate with material in deeper ways. Educational gaming might seem like old news to some, but most often \u003ca href=\"http://ww2.kqed.org/mindshift/?s=gaming&x=0&y=0\">gaming comes up in a K-12 context\u003c/a>. Now the same benefits are being applied to older students and more complicated subjects. Most of the excitement centers on gamification – integrating mechanics of games into non-game situations to inspire creativity and productivity. The strategy works well for many businesses and is gradually making its way onto college campuses.\u003c/p>\n\u003cp>Similarly, the report predicts that learning analytics will find a foothold in higher education in the next few years. “Student-specific data can now be used to customize online course platforms and suggest resources to students in the same way that businesses tailor advertisements and offers to customers,” the report said. Universities are already using big data to improve advising and help offer advice and strategies to struggling learners to improve retention. The data can also help universities to better allocate resources, fill holes and accurately understand how well they are serving students.\u003c/p>\n\u003cp>\u003cstrong>LONG TERM (FOUR TO FIVE YEARS)\u003c/strong>\u003c/p>\n\u003cp>The rise of the\u003ca href=\"http://ww2.kqed.org/mindshift/?s=Maker+Faire&x=0&y=0\"> Maker movement\u003c/a> has helped launch 3D printing back into the NMC Horizons predictions where it first appeared in 2004. The emphasis on design learning and DIY culture make 3D printers appealing.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Wearable technology will take off on college campuses as thin film technology makes it possible for screens to mold around body curves. And these devices aren’t just cool. “Wearable devices are also proving to be effective tools for research because they use sensors to track data, such as vital signs, in real-time. Although wearable technology is not yet pervasive in higher education, the current highly functional clothing and accessories in the consumer space show great promise,” the report says.\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/mindshift/26962/higher-ed-trends-moocs-tablets-gamification-and-wearable-tech","authors":["234"],"categories":["mindshift_192","mindshift_195","mindshift_193"],"tags":["mindshift_998","mindshift_478","mindshift_68","mindshift_927","mindshift_654","mindshift_820"],"featImg":"mindshift_26965","label":"mindshift"},"mindshift_23556":{"type":"posts","id":"mindshift_23556","meta":{"index":"posts_1591205157","site":"mindshift","id":"23556","score":null,"sort":[1346352022000]},"guestAuthors":[],"slug":"understanding-learning-analytics-and-student-data","title":"Understanding Learning Analytics and Student Data","publishDate":1346352022,"format":"aside","headTitle":"MindShift | KQED News","labelTerm":{"site":"mindshift"},"content":"\u003cp>There's a lot to unpack about learning analytics -- everything from how student data is captured to \u003ca href=\"http://ww2.kqed.org/mindshift/2012/07/how-will-student-data-be-used/\">how it will be used\u003c/a>. For all of its promises -- and there are many, as evidenced below -- the two biggest areas of concern regarding using student data are around issues of privacy, as in who has access to student information and what are the possible negative ways that information could be used, and how student data might be used against educators. Privacy is addressed in this otherwise mostly positive infographic, created by \u003ca href=\"http://www.opencolleges.edu.au/informed/learning-analytics-infographic/\">Australia's informED\u003c/a>, which takes a crack at explaining all the different aspects. What else would you add to it?\u003c/p>\n\u003cp>\u003cimg src=\"http://newsroom.opencolleges.edu.au/wp-content/uploads/2012/08/LearningAnalytics-smaller.jpg\" alt=\"\" width=\"620\">\u003c/p>\n\u003cp>Learning Analytics: Leveraging Education Data – An infographic by the team at \u003ca href=\"http://www.opencolleges.edu.au\">Open Colleges\u003c/a>\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\u003cp>\u003c/p>\n","blocks":[],"excerpt":null,"status":"publish","parent":0,"modified":1452040005,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":5,"wordCount":126},"headData":{"title":"Understanding Learning Analytics and Student Data | KQED","description":"There's a lot to unpack about learning analytics -- everything from how student data is captured to how it will be used. For all of its promises -- and there are many, as evidenced below -- the two biggest areas of concern regarding using student data are around issues of privacy, as in who has","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":""},"disqusIdentifier":"23556 http://blogs.kqed.org/mindshift/?p=23556","disqusUrl":"https://ww2.kqed.org/mindshift/2012/08/30/understanding-learning-analytics-and-student-data/","disqusTitle":"Understanding Learning Analytics and Student Data","path":"/mindshift/23556/understanding-learning-analytics-and-student-data","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>There's a lot to unpack about learning analytics -- everything from how student data is captured to \u003ca href=\"http://ww2.kqed.org/mindshift/2012/07/how-will-student-data-be-used/\">how it will be used\u003c/a>. For all of its promises -- and there are many, as evidenced below -- the two biggest areas of concern regarding using student data are around issues of privacy, as in who has access to student information and what are the possible negative ways that information could be used, and how student data might be used against educators. Privacy is addressed in this otherwise mostly positive infographic, created by \u003ca href=\"http://www.opencolleges.edu.au/informed/learning-analytics-infographic/\">Australia's informED\u003c/a>, which takes a crack at explaining all the different aspects. What else would you add to it?\u003c/p>\n\u003cp>\u003cimg src=\"http://newsroom.opencolleges.edu.au/wp-content/uploads/2012/08/LearningAnalytics-smaller.jpg\" alt=\"\" width=\"620\">\u003c/p>\n\u003cp>Learning Analytics: Leveraging Education Data – An infographic by the team at \u003ca href=\"http://www.opencolleges.edu.au\">Open Colleges\u003c/a>\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/mindshift/23556/understanding-learning-analytics-and-student-data","authors":["180"],"categories":["mindshift_192"],"tags":["mindshift_631","mindshift_927","mindshift_632"],"featImg":"mindshift_23566","label":"mindshift"}},"programsReducer":{"possible":{"id":"possible","title":"Possible","info":"Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. 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Each episode also includes a short fiction story generated by advanced AI GPT-4, serving as a thought-provoking springboard to speculate how humanity could leverage technology for good.","airtime":"SUN 2pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2023/08/possible-5gxfizEbKOJ-pbF5ASgxrs_.1400x1400.jpg","officialWebsiteLink":"https://www.possible.fm/","meta":{"site":"news","source":"Possible"},"link":"/radio/program/possible","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/possible/id1677184070","spotify":"https://open.spotify.com/show/730YpdUSNlMyPQwNnyjp4k"}},"1a":{"id":"1a","title":"1A","info":"1A is home to the national conversation. 1A brings on great guests and frames the best debate in ways that make you think, share and engage.","airtime":"MON-THU 11pm-12am","imageSrc":"https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/1a.jpg","officialWebsiteLink":"https://the1a.org/","meta":{"site":"news","source":"npr"},"link":"/radio/program/1a","subscribe":{"npr":"https://rpb3r.app.goo.gl/RBrW","apple":"https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?s=143441&mt=2&id=1188724250&at=11l79Y&ct=nprdirectory","tuneIn":"https://tunein.com/radio/1A-p947376/","rss":"https://feeds.npr.org/510316/podcast.xml"}},"all-things-considered":{"id":"all-things-considered","title":"All Things Considered","info":"Every weekday, \u003cem>All Things Considered\u003c/em> hosts Robert Siegel, Audie Cornish, Ari Shapiro, and Kelly McEvers present the program's trademark mix of news, interviews, commentaries, reviews, and offbeat features. 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We cover topics like how fed-up administrators are developing surprising tactics to deal with classroom disruptions; how listening to podcasts are helping kids develop reading skills; the consequences of overparenting; and why interdisciplinary learning can engage students on all ends of the traditional achievement spectrum. This podcast is part of the MindShift education site, a division of KQED News. KQED is an NPR/PBS member station based in San Francisco. 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