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Mohammad Khalil; Sharon Slade; Paul Prinsloo – Journal of Computing in Higher Education, 2024
This article maps considerations of inclusiveness and support for students with disabilities by reviewing articles within the field of learning analytics. The study involved a PRISMA-informed systematic review of two popular digital libraries, namely Clarivate's Web of Science, and Elsevier's Scopus for peer-reviewed journal articles and…
Descriptors: Learning Analytics, Journal Articles, Conference Papers, Inclusion
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Robert J. Summers; Adrian P. Burgess; Helen E. Higson; Elisabeth Moores – Studies in Higher Education, 2024
To explore potential effects of disadvantage on engagement and attainment under different teaching and assessment regimes, the influence of pedagogic changes implemented during the COVID-19 pandemic on attainment and engagement of students from different backgrounds were compared using a cohort-study design. Learner analytics and attainment data…
Descriptors: Foreign Countries, Learning Analytics, Disadvantaged, College Freshmen
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Rodgers, Aireale J. – Change: The Magazine of Higher Learning, 2022
As digital learning becomes an increasingly popular modality for teaching and learning, so too has the use of courseware in postsecondary institutions. Approaching the design and implementation of digital courseware from an explicitly equity-minded perspective is vital to supporting historically marginalized students. I offer the Equity First…
Descriptors: Equal Education, Courseware, Computer Software, Teaching Methods
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Yu, Renzhe; Li, Qiujie; Fischer, Christian; Doroudi, Shayan; Xu, Di – International Educational Data Mining Society, 2020
In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar data for predicting long-term college success.…
Descriptors: Prediction, Accuracy, College Students, Success
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Summers, Robert; Higson, Helen; Moores, Elisabeth – Assessment & Evaluation in Higher Education, 2023
The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with…
Descriptors: Disadvantaged, Learner Engagement, COVID-19, Pandemics
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Foster, Ed; Siddle, Rebecca – Assessment & Evaluation in Higher Education, 2020
In this article we investigate the effectiveness of learning analytics for identifying at-risk students in higher education institutions using data output from an in-situ learning analytics platform. Amongst other things, the platform generates 'no-engagement' alerts if students have not engaged with any of the data sources measured for 14…
Descriptors: Learning Analytics, At Risk Students, Identification, Higher Education
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Selwyn, Neil – Journal of Learning Analytics, 2019
This article summarizes some emerging concerns as learning analytics become implemented throughout education. The article takes a sociotechnical perspective -- positioning learning analytics as shaped by a range of social, cultural, political, and economic factors. In this manner, various concerns are outlined regarding the propensity of learning…
Descriptors: Learning Analytics, Criticism, Politics of Education, Educational Objectives
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Pennacchia, Jodie; Bathmaker, Ann-Marie – British Educational Research Journal, 2021
The English further education (FE) sector caters for young learners who are regularly defined as at risk due to a range of economic and social challenges, as transitions from youth to adulthood become more protracted, and inequalities amongst young people and between generations persist and deepen. At a time when policy places increasing…
Descriptors: Governing Boards, Social Justice, Cost Effectiveness, Foreign Countries
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Grimaldi, Phillip; Weatherholtz, Kodi; Hill, Kelli Millwood – International Educational Data Mining Society, 2022
As educational technology platforms become more and more commonplace in education, it is critical that these systems work well across a diverse range of student sub-groups. In this study, we estimated the effectiveness of MAP Accelerator; a large-scale, personalized, web-based, mathematics mastery learning platform. Our analysis placed a…
Descriptors: Educational Technology, Mastery Learning, Learning Management Systems, Middle School Students
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Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19