NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, Ethics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Santos, Patricia; Hernández-Leo, Davinia – British Journal of Educational Technology, 2020
Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical principles and procedures for governing the use of new technologies and techniques, however, is not as readily pursued. As…
Descriptors: Records (Forms), Decision Making, Data Collection, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
West, Deborah; Luzeckyj, Ann; Toohey, Danny; Vanderlelie, Jessica; Searle, Bill – Australasian Journal of Educational Technology, 2020
Increasingly learning analytics (LA) has begun utilising staff- and student-facing dashboards capturing visualisations to present data to support student success and improve learning and teaching. The use of LA is complex, multifaceted and raises many issues for consideration, including ethical and legal challenges, competing stakeholder views and…
Descriptors: College Faculty, College Administration, Ethics, Student Attitudes