The efforts to boost the nascent field of learning analytics could bring about a sea change in education, making it possible to personalize — on a massive scale — students’ learning by their individual interests and needs, according to a comprehensive report, involving experts from academia, business, nonprofits, foundations and government . It was written by Roy Pea, the David Jacks Professor of Education and Learning Sciences at the Stanford Graduate School of Education.
Designing a textbook or lecture with the average student in mind may sound logical. But L. Todd Rose, who teaches educational neuroscience at Harvard University’s Graduate School of Education, argues that doing so means that the lesson is designed for nobody.
Utilitarian concerns increasingly drive machine ethics, particularly the few ethical discussions in learning analytics. Determining the most good for the most people is a responsible way forward, but perhaps not the most comprehensive, especially when assessing potential outcomes. Innovations in learning analytics may occur more rapidly and with better outcomes if informed ethical discussions occur at every step of development.
Gamification, the idea that game mechanics can be integrated into assumed “non-game” circumstances has gained ascendance amongst champions of marketing, behavior change and efficiency. Ironically, some of the most heated critique of gamification has come from the broader community of “traditional” videogame developers. Connecting broadly to projects surrounding “big data” and algorithmic surveillance, the project of gamification continues to expand and intensify. This paper examines the complex relationship between game designers and the rise of arguments in support of gamification. I analyze the various actors and interests mobilizing arguments, deconstructing their underlying assumptions about the relationship between games and social phenomena. Turning to an analytic framework rooted in the Assemblage of Play (Taylor 2009) and emergent coercive forms of (played) control (Taylor 2006), the essay critiques assumptions on either side of the debate on the role of games and play. The strained connections between debates on gamification and broader interest in serious games offers an important moment to explore algorithmic surveillance.
Universities have been recording data digitally about their students for decades. No one would seriously question the necessity of collecting facts for administrative purposes, such as a student’s name…
The University of Wisconsin-Green Bay's CIO is pursuing a track that marries institutional data, predictions and business rules to create prescriptions for student and campus success. Here are his 12 best practices for prescriptive analytics.
This special issue of the eLearning Papers is based on the contributions made to the EMOOCS 2014 conference jointly organized by the École Polytechnique Fédérale de Lausanne (EPFL) and P.A.U. Education. The success of this conference with more than 450 participants demonstrates that MOOCs are at the beginning of a wave and a first step towards opening up education.
An introduction to the logic and methods of analysis of data to improve teaching and learning.
About this Course
Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence.
The Student Success System develops intervention strategies to provide students with personalised support, leading to higher student retention and achievement
Melbourne, Australia, September 02, 2014 – D2L (Desire2Learn) - the learning technology company that created Brightspace, the world’s first truly integrated learning platform (ILP) – takes student engagement and achievement rates at the University of Tasmania to a new level with the Student Success System (S3), a flagship solution in the D2L analytics portfolio.
Valid arguments exist for students to control data about themselves, and similarly plausible arguments suggest that the institution can claim ownership. This article explores both perspectives. To avoid win-lose solutions, institutions acting as "information fiduciaries" can reap the benefits of analyzing student data while respecting student rights.
At the CT 2014 conference this week in Boston, one former CIO told attendees that education is not "about gathering terabytes of data and asking it to tell me the patterns." Instead, he argued for the potential of "small data" to create a personalized learning experiences that cut down on student frustration and confusion.
Sponsored by the Provost's Task Force on Learning Analytics, Student Learning and Analytics at Michigan (SLAM) is a speaker series. Presenters will focus on the analysis and use of data about students, courses and academic programs-- for the purposes of improving teaching and learning.
Learning analytics holds increasing potential for student agency and autonomy, highlighting a need for ethical discourse at all levels of higher education institutions. Topics central to this dialogue include student awareness of analytics, the future of algorithms and learning analytics, and the redefinition of failure.