Group items tagged

Learning analytics different from big data in "their concern for providing value to teachers and learners (p14)" Research challenges needing to be addressed to achieve ideal scenarios of use: - Develop expertise in the provision of formative feedback and analytics - Develop methods of presenting analytics and visualizing data that are easy to use and understand - Adopt standards for the structure and export of data - Adopt standards for the structure and export of data - Broaden the focus to include not only higher education in formal settings, but also schools, workplace learning, informal learning and lifelong learning - Identify and address the issues around ethics, privacy and ownership of data (p13-14) ABSTRACT: "Learning analytics is a significant area of technology‐enhanced learning that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it sets out the current state of learning analytics research, and identifies a series of future challenges."

Andrew Chung (partner, Khosla Ventures); Beth Comstock (senior VP, GE); Andie Grace aka "Actiongrl" (communications manager and regional network manager, Burning Man); Jason Silva (co-founding host, Current TV); Don Tapscott (co-author, Macrowikinomics) "This is not an Information Age - it's one of networking, collaboration"; Craig Hatkoff (co-founder, Tribeca Film Festival) "The question is are we wise enough"?

Dissects how a digital scholar might construct "a networked research cycle" (planning, collecting data, analyze, reflect); themes which will have increasing relevance "whether it is because they become accepted practice or because the research community reacts against them." Granularity (e.g., iTunes vs music industry's album) Pushback from outlets (e.g., open blog vs scholarly publication - shift from output to focus on ongoing activity, engagement and reputation - more difficult to measure and reward) Crowdsourcing (inc. layers of filter and publication) Light connections and nodes (sharing in "a frictionless manner") Rapid innovation "These emerging themes sit less comfortably alongside existing practices and can be seen as a more radical shift in research practice. A combination of the two is undoubtedly the best way to proceed, but the danger exists of a schism opening up between those who embrace new approaches and those who reject them, with a resultant entrenchment to extremes on both sides. This can be avoided in part by the acknowledgement and reward of new forms of scholarship..."

Internet redefining citizenship in 21st century - Civic Information API, e.g., Kenya Elections Hub - Sunlight Foundation programs for open govt data - MySociety collaboration among developers esp open source code

Six Core Challenges lie at the core of the innovative disruption facing higher education: University Model; Structural Model; Funding Model; Cost Model; Business Model; Success Model Seven Areas of Change - The six core challenges noted above are driven by seven areas of rapid change, primarily technological change: The Players; The College Models; The Course Models; Data and Learning Analytics; The Cost: Reduced and Free; Measuring Success; Threats to the Credential

"The *real* stuff guys and girls say, based on actual data..." in Twitter

referred to in EdFuture.net webinar by Simon Buckingham Shum, Associate Director (Technology), Knowledge Media Institute, Open University, UK - uses student data generated from LMS (inc Bb and Moodle) discussion forums reinterpreted into a network diagram Can visually depict - disconnected (at risk) students - key information brokers within a class - potentially high and low performing students so to plan interventions before deadline for grading - before/after snapshots to indicate impact of intervention - student reflection/benchmarking in informal self-assessment

a multiyear pilot project at the Pennsylvania State University's Berks College that redesigned a lecture-based introductory chemistry course into a blended learning course. guides for group work and archiving clicker response data, etc.

An Introduction to SLAM at U-M, September 14, 2012 by the chair of the Provost's Learning Analytics Taskforce