Advancing Engineering and Computing Education Through the Lens of Learning Analytics
This research category full paper explores the application of learning analytics in engineering and computing education over the past decade. Although these fields have gained increasing attention in nowadays technologically advanced environment, research about how learning analytics has been utilized within these disciplines remains limited. To address this issue, we conducted a bibliometric analysis with topic modeling on 903 articles published from 2011 to 2023 at the Learning Analytics and Knowledge conference. Specifically, our analysis identified prevalent research topics, methodological innovations, and pedagogical practices of the use of learning analytics within engineering and computing education. The study provides significant insights into how learning analytics has advanced engineering and computing education and highlight future research directions.
Authors
- Yichen Huang (ORCID: https://orcid.org/0000-0002-4638-8157)
- Bo Pei (ORCID: https://orcid.org/0000-0002-6328-6929)
- Jie Lü (ORCID: https://orcid.org/0000-0003-3659-1175)
- Zhaowei Zhang
Institutions
- Florida Department of Education (US)
- University of Illinois Urbana-Champaign (US)
- University of Georgia (US)
- University of South Florida (US)
Publication Details
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1109/fie61694.2024.10893384
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00