An Interdisciplinary Study of Perceptions, Efficacy, and Adaptation in Pandemic Pedagogy Supported by the Institutional Data Lake

14 May 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The COVID-19 pandemic forced a sudden shift to online learning in Physics and Chemistry in Singapore. As restrictions eased, researchers explored its impact through interviews with instructors and analysis of student data made available through a data lake managed by the National University of Singapore’s Institute for Applied Learning Sciences and Educational Technology. Interviews focused on instructor adaptation and beliefs about online teaching, while the data investigated student perceptions and changes in teaching efficacy pre- and post-pandemic.

Keywords

Institutional Data Lake
Academic Analytics
Interdisciplinary Research
Online Education
Interviews
Data Lake houses for Higher Education
Pandemic Pedagogy

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