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Simon Kitto; H. L. Michelle Chiang; Olivia Ng; Jennifer Cleland – Advances in Health Sciences Education, 2025
There is a long-standing lack of learner satisfaction with quality and quantity of feedback in health professions education (HPE) and training. To address this, university and training programmes are increasingly using technological advancements and data analytic tools to provide feedback. One such educational technology is the Learning Analytic…
Descriptors: Feedback (Response), Learning Analytics, Educational Technology, Allied Health Occupations Education
Y. Vijaya Lakshmi; Ishfaq Majid – Online Submission, 2025
Games play a very important role in promoting incidental learning and help in exploring both the conscious and subconscious processes such as insight of a learner. Digital Game-Based Learning and assessments are now an integral part of educational practices. When designed effectively digital games can take the learners from the stage of…
Descriptors: Game Based Learning, Computer Games, Teaching Methods, Thinking Skills
O'Donoghue, Kevin – Journal of Academic Ethics, 2023
Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and…
Descriptors: Higher Education, Privacy, Learning Analytics, Academic Standards
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)
Piotrkowicz, Alicja; Wang, Kaiwen; Hallam, Jennifer; Dimitrova, Vania – International Journal of Artificial Intelligence in Education, 2021
The paper presents a multi-faceted data-driven computational approach to analyse workplace-based assessment (WBA) of clinical skills in medical education. Unlike formal university-based part of the degree, the setting of WBA can be informal and only loosely regulated, as students are encouraged to take every opportunity to learn from the clinical…
Descriptors: Workplace Learning, Performance Based Assessment, Clinical Experience, Medical Education

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