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Matthew Berland; Antero Garcia – MIT Press, 2024
Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…
Descriptors: Justice, Learning Analytics, Data Use, Futures (of Society)
Raffaghelli, Juliana E., Ed.; SangrĂ , Albert, Ed. – Higher Education Dynamics, 2023
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…
Descriptors: Data Use, Higher Education, Educational Change, Data Analysis
Adam Parrott-Sheffer; Carmen Williams; David Rease Jr.; Kathryn Parker Boudett – Harvard Education Press, 2024
In "System Wise," Adam Parrott-Sheffer, Carmen Williams, David Rease, Jr., and Kathryn Parker Boudett provide a blueprint to scale up the Data Wise process for continuous improvement, extending it from classrooms and schools to broader educational contexts. The System Wise approach highlights the adaptability of the Data Wise protocols,…
Descriptors: Instructional Improvement, Outcomes of Education, Data Use, Learning Analytics
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
Miller, Gary E., Ed.; Ives, Kathleen S., Ed. – Stylus Publishing LLC, 2020
eLearning has entered the mainstream of higher education as an agent of strategic change. This transformation requires eLearning leaders to develop the skills to innovate successfully at a time of heightened competition and rapid technological change. In this environment eLearning leaders must act within their institutions as much more than…
Descriptors: Electronic Learning, Higher Education, Change Strategies, Leadership Effectiveness
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Spector, Michael, Ed.; Kumar, Vivekanandan, Ed.; Essa, Alfred, Ed.; Huang, Yueh-Min, Ed.; Koper, Rob, Ed.; Tortorella, Richard A. W., Ed.; Chang, Ting-Wen, Ed.; Li, Yanyan, Ed.; Zhang, Zhizhen, Ed. – Lecture Notes in Educational Technology, 2018
This book demonstrates teachers' and learners' experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how…
Descriptors: Educational Technology, Technological Advancement, Data Use, Technology Uses in Education
Ken-Zen Chen – Sage Research Methods Cases, 2016
This case study provides an account of one practical aspect of a 3-year-long learning analytics project, allowing readers to see how a researcher spread the idea of using learner data to improve the scholarship of teaching and learning in the course of research. The case sheds light on the particular challenges in using existing data stored in…
Descriptors: Educational Innovation, Curriculum Evaluation, Online Courses, Learning Analytics