Horizon Report Higher Education Briefing


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Executive Briefing of the 2014 Horizon Report presented to National University Provost, Deans, and Administration

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  • What is the Horizon Report?
  • The NMC Horizon Report: 2014 Higher Education Edition is a collaboration betweenThe NEW MEDIA CONSORTIUM And The EDUCAUSE Learning Initiative, an EDUCAUSE ProgramThe research behind the NMC Horizon Report: 2014 Higher Education Edition is jointly conducted by the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI), an EDUCAUSE Program.The ELI’s critical participation in the production of this report and their strong support for the NMC Horizon Project is gratefully acknowledged. To learn more about ELI, visit www.educause.edu/eli ; In this wiki, we were engaged in a comprehensive review and analysis of research, articles, papers, blogs, and interviews; discussing existing applications, and brainstorming new ones; and ultimately ranking the items on the list of candidate technologies for their potential relevance to teaching, learning, or creative inquiry in HE. The results of this ranking published in a the NMC Horizon Report, HETo learn more about the NMC, visit www.nmc.orgWho here has heard of the Horizon Report?In my case, our group consisted of 53 experts from around the globe, representing 23 countriesNMC launched 2009K12 Focused on Pre-college education known as the NMC Horizon Report > K-12 Edition, specifically focused on exploring pre-college education around the globe. This project continues for the sixth year in 2014, again with support from Hewlett Packard's Office of Global Social Innovation, and focuses on pre-college education through examining the emerging technologies, key trends, and critical challenges that are impacting it. The members of the Horizon.k12 Advisory Board were purposely chosen to represent a broad spectrum of people knowledgeable about K-12 education all over the world; key writers, thinkers, technologists, and futurists from education, business, and industry round out the group.2014 is still in process
  • PredictionsStatisticsScience FictionNo one can absolutely predict trends but the indicators are all in the hands of Doc Brown
  • This is another option for an overview slide.
  • Is it Time to Start Using Social Media to PromoteAcademic Projects?go.nmc.org/time(Annett Seifert, School of Advanced Study Blogs, 14August 2013.) This post describes how the School ofAdvanced Study at the University of London is usingsocial media channels to increase awareness andengagement about the impact of individual researchprojects.Is Social Media Good for Education?go.nmc.org/medgoo(Vanessa Doctor, Hashtags.org, 31 July 2013.) Theauthor discusses the pros and cons of social media usein education. She lists four positive and two negativepoints about its effectiveness in education — ease ofcommunication is cited as a benefit and the accuracy ofsources is identified as a con.Social Media for Teaching and Learninggo.nmc.org/socmed(Jeff Seaman and Hester Tinti-Kane, Babson SurveyResearch Group and Pearson Learning Solutions,October 2013.) A series of reports launched in 2009and published annually has shown that faculty areembracing social media, but privacy concerns mustbe addressed in order to accelerate the adoption ofprofessional use.Using Social Media in the Classroom: A CommunityCollege Perspectivego.nmc.org/asa(Chad M. Gesser, Footnotes, January 2013) A professorat Owensboro Community and Technical Collegedescribes his applications of social media to organizecourses and discuss complex sociological concepts.Visitors and Residents: Students’ Attitudes toAcademic Use of Social Mediago.nmc.org/visres(Science Daily, 29 April 2013.) A recent study showsthat some students, referred to as residents, use socialnetworking to share information about their studieswith their academic peers in a similar way they wouldtalk to friends on Facebook.Arizona State University Selects HapYak InteractiveVideo for eLearning Video Initiativesgo.nmc.org/hapyak(HapYak, 2 December 2013.) Arizona State Universityuses an interactive video platform HapYak in theirhybrid courses to add interactive elements such as quizquestions, chapters, and links. The software also createsengagement reports that let ASU faculty and staff knowwho is watching which videos, what segments are mostimportant, and how they can improve them.Blended Learning: College Classrooms of the Futurego.nmc.org/colcla(The Huffington Post, 16 July 2013.) Blended learninginitiatives at the University of Maryland have led to moretime for clarifying, hands-on activities, and discussionsduring class time rather than introducing material forthe first time.Is Blended Learning the Best of Both Worlds?go.nmc.org/blen(Online Learning Insights, 17 January 2013.) This articleexplores the purpose, definitions, and implications ofthe blended learning model in higher education, whichis a balance of web-based and traditional face-to-faceinstruction.A New Way of Learning: The Impact of HybridDistance Education on Student Performancego.nmc.org/neww(Rosa Vivanco, George Mason University, accessed 17December 2013.) A study at George Mason Universityshowed students who collaborated with othersoutside of the classroom for online components of amanagement course reported enjoying it more andlearning more.Watering the Roots of Knowledge ThroughCollaborative Learninggo.nmc.org/roots(David J. Helfand, The Chronicle of Higher Education,8 July 2013.) The author shows how a progressivecollaborative learning system in higher education canproduce graduates who are skilled in communication,quantitative reasoning, and teamwork.
  • Beyond just collecting or curating resources, students are creating and constructing knowledge. That knowledge construction can be assessed authentically in a variety of ways, rubrics are rockin’ as the key tool for digital assessment.
  • We are hearing a lot of about Adaptive eLearning solutions and personalized education for all. Much like in K12 education, many students qualify for an IEP or Individualized Education Plan the traditional LMS is moving to become so much more. Add content, add adaptation to create individual pathways to learning, this will create a paradigm shift for Higher Ed.
  • Those that are complex to even define, much less addressExpanding AccessKeeping Education Relevant
  • On page 35 of your report.
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  • AaronSams and Jonathon Bergman
  • Learning analytics is an educational applicationof “big data,” a branch of statistical analysisthat was originally developed as a way forbusinesses to analyze commercial activities,identify spending trends, and predict consumerbehavior. As web-tracking tools became moresophisticated, many companies built vast reserves ofinformation to individualize the consumer experience.Education is embarking on a similar pursuit into newways of applying to improve student engagement andprovide a high-quality, personalized experience forlearners.Data Science: The Numbers of Our Livesgo.nmc.org/datasci(Claire Cain Miller, The New York Times, 11 April 2013.)According to a report by McKinsey Global Institute, therewill be almost a half million jobs in data science in fiveyears. Institutions are creating programs to train hybridcomputer scientist/software engineer statisticians.Learning to Adapt: A Case for Accelerating AdaptiveLearning in Higher Educationgo.nmc.org/case(Adam Newman, Peter Stokes, Gates Bryant, EducationGrowth Advisors, 13 March 2013). A white paper fundedby the Bill & Melinda Gates Foundation illustrates thecurrent adoption of adaptive learning technologies inhigher education, relevant obstacles, and the solutionsbeing explored.The Role of Learning Analytics in ImprovingTeaching and Learning (Video)go.nmc.org/lerana(George Siemens, Teaching and Learning withTechnology Symposium, 16 March 2013.) Siemensreviews a number of case studies to show that whenanalytics are applied to education in a similar manneras companies use them, they can improve teaching andlearning.Time-to-Adoption Horizon: One Year or Less 39already being used by leading institutions to captureprecise student behaviors in online courses, recordingnot only simple variables such as time spent on a topic,but also much more nuanced information that canprovide evidence of critical thinking, synthesis, and thedepth of retention of concepts over time. As behaviorspecificdata is added to an ever-growing repository ofstudent-related information, the analysis of educationaldata is increasingly complex, and many statisticiansand researchers are working to develop new kinds ofanalytical tools to manage that complexity.The most visible current example of a wide-scaleanalytics project in higher education is the PredictiveAnalytics Reporting Framework, which is overseen bythe Western Interstate Commission for Higher Education(WICHE), and largely funded by the Bill & Melinda GatesFoundation. The 16 participating institutions representthe public, private, traditional, and progressive spheresof education. According to the WICHE website, they havecompiled over 1,700,000 student records and 8,100,000course level records in efforts to better understandstudent loss and student momentum.Companies such as X-Ray Research are conductingresearch in online discussion groups to determine whichbehavioral variables are the best predictors of studentperformance. The tools reflect the potential of analyticsto develop early warning systems based on metrics thatmake predictions using linguistic, social, and behavioraldata. Similarly, studies at universities are proving thatpedagogies informed by analytics can improve thequality of interaction taking place online. At SimonFraser University in British Columbia researchers appliedanalytics to solve an issue that past experiments revealed— discussion forums used for online courses were notsupporting productive engagement or discussion. Theydeveloped a Visual Discussion Forum in which studentscould visualize the structure and depth of the discussion,based on the number of threads extending from theirposts. Learners in this study were also able to easilydetect which topics needed more of their attention.Learning Analytics in PracticeThe following links provide examples of learninganalytics in use in higher education settings:Big Data in Educationgo.nmc.org/bigdaColumbia University professors offer an online coursefor educators through Coursera to learn about thestrengths a
  • The Awesome Power of Gamification in HigherEducationgo.nmc.org/awesome(Tara E. Buck, EdTech Magazine, 18 October 2013.) At herkeynote speech at EDUCAUSE 2013, game developerJane McGonigal presented a vision of the future inwhich people’s work and daily lives are transformed intogamified scenarios or “extreme learning environments.”Gamification Done Rightgo.nmc.org/doneright(Andre Behrens, The New York Times, 11 June 2013.) Theauthor explores the various implications that the termgamification carries, and discusses the componentsthat make it successful. He points to Simple.com as aneffective and creative example.Video Game Courses Score Big on College Campusesgo.nmc.org/scorebig(YannickLejacq, NBC News, 12 September 2013.)U.S. colleges and universities are now offering morecoursework and degrees dedicated to the study ofvideo games than ever before, with 385 institutionsnow providing either individual courses or full degreesin game design.
  • OverviewPeople have always demonstrated interest in learningabout themselves by tracking and measuring theirbehaviors and activities. Students already spendtime in formal classroom settings gathering dataabout themselves or research topics. Quantified selftechnologies tap into this interest in the form of mobileapps, wearable devices, and cloud-based services thatmake the data collection process much easier.Popular incarnations of the quantified self movementhave materialized in the form of health, fitness, andlife streaming tools. The Fitbit, for example, is a smallwristband that tracks wearers’ daily activities, includingsleep patterns, steps taken, and calories burned.Through wireless and automatic syncing between theFitbit and smartphones, tablets, and laptops, userscan see real-time progress across their devices. TheJawbone Up wristband employs similar functionalities,allowing wearers to track sleep, movement, and dietaryinformation that is automatically populated in theNew Virtual Assistant Anticipates Needs DuringConversationgo.nmc.org/needs(Tyler Falk, Smart Planet, 18 January 2013.) The author ofthis post describes the new iPad app called MindMeld,which, instead of responding to questions, analyzesand understands the content of online conversations inorder to provide useful information.Talk to the Phone: Google’s Moto X Virtual AssistantRaises Smartphone Bargo.nmc.org/talkto(Peter Nowak, CBS News, 13 August 2013.) The authorprovides a personal account of how the virtual assistantGoogle Now aided he and his wife on a trip across thenortheastern United States.
  • Horizon Report Higher Education Briefing

    1. 1. HORIZON REPORT 2014 HIGHER EDUCATION Cynthia Sistek-Chandler, Ed D National University School of Education, Associate Professor Expert Advisor Horizon Report Higher Education, 2014 EDUCAUSE New Media Consortium Executive Briefing to National University March 12, 2014
    2. 2. The New Media Consortium (NMC) Horizon Report 2014 Higher Education Edition NEW MEDIA CONSORTIUM and The EDUCAUSE Learning Initiative (ELI)
    3. 3. • Key Trends Accelerating Adoption1 • Significant Challenges Impeding Higher Education Technology Adoption 2 • Important Developments in Educational Technology for Higher Education 3 Executive Summary Horizon Report Higher Education
    4. 4. Fast, Mid-Range, and Long-Range Fast Trends: Driving changes in higher education over the next one to two years – Growing Ubiquity of Social Media – Integration of Online, Hybrid, and Collaborative Learning Mid-Range Trends: Driving changes in higher education within three to five years – Rise of Data-Driven Learning and Assessment – Shift from Students as Consumers to Students as Creators Long-Range Trends: Driving changes in higher education in five or more years – Agile Approaches to Change – Evolution of Online Learning
    5. 5. Fast Growing Ubiquity of Social Media Integration of Online, Hybrid, and Collaborative Learning Is Blended Learning the Best of Both Worlds? Hapyak Voicethread Faculty Community
    6. 6. Mid-Range Rise of Data Driven Learning and Assessment
    7. 7. Mid-Range Students as Creators
    8. 8. Long Range Evolution of Online Learning
    9. 9. Significant Challenges Impeding Higher Education Technology Adoption Solvable Challenges: Those that we understand and know how to solve • Low Digital Fluency of Faculty • Relative Lack of Rewards for Teaching Difficult Challenges: Those we understand but for which solutions are elusive • Competition from New Models of Education • Scaling Teaching Innovations Wicked Challenges: Those that are complex to even define, much less address • Expanding Access • Keeping Education Relevant
    10. 10. Solvable Challenges Those that we understand and know how to solve • Low Digital Fluency of Faculty • Relative Lack of Rewards for Teaching
    11. 11. Difficult Challenges Those we understand but for which solutions are elusive. • Competition from New Models of Education • Scaling Teaching Innovations Helping Professors Use Technology Is Top Concern in Computing Survey go.nmc.org/help (Hannah Winston, The Chronicle of Higher Education, 17 October 2013.) The Campus Computing Project’s annual survey of senior technology administrators found that helping faculty acclimate to new classroom technologies as classes move to online platforms will be the biggest IT concern over the next two to three years.
    12. 12. Wicked Challenges Over the next 12 years, the World Bank estimates a 25% increase in global higher education attendance from 200 to 250 million.
    13. 13. • Flipped Classroom • Learning Analytics1 • 3D Printing • Games and Gamification 2-3 • Quantified Self • Virtual Assistants4-5 Important Developments in Educational Technology for Higher Education
    14. 14. Dr. George Siemens Case Studies Improving Teaching and Learning http://www.youtube.com/watch?v=0ILt-ERdb64 http://www.opencolleges.edu.au/informed/learning-analytics-infographic/
    15. 15. Two - Three Years 3D Printing Games and Gamification
    16. 16. Time-to-Adoption Horizon: Four to Five Years Virtual Assistant CMU Sphinx Open Source Toolkit For Speech Recognition Project by Carnegie Mellon University Quantified Self
    17. 17. References Educause Learning Inititative www.educause.edu/eli Johnson, L., Adams Becker, S., Cummins, M., Estrada V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 K-12 Edition. Austin, Texas: The New Media Consortium. NMC www.nmc.org