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Lessons learned from eClass: Assessing automated capture and access in the classroom
Abstract
This article presents results from a study of an automated capture and access system, eClass, which was designed to capture the materials presented in college lectures for later review by students. In this article, we highlight the lessons learned from our three-year study focusing on the effect of capture and access on grades, attendance, and use of the captured notes and media. We then present suggestions for building future systems discussing improvements from our system in the capture, integration, and access of college lectures.
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Citations
Cited by
“Predicting MOOC dropout over weeks using machine learning methods,”
Kloft, M., Stiehler, F., Zheng, Z., & Pinkwart, N. (2014) · Proceedings of the EMNLP 2014 Workshop on Analysis of Large Scale Social Interaction in MOOCs · doi:10.3115/v1/w14-4111 · Cited by 325
Evaluating a Web Lecture Intervention in a Human–Computer Interaction Course
Day, J. A., & Foley, J. D. (2006) · IEEE Transactions on Education · doi:10.1109/te.2006.879792 · Cited by 317
Wald, M. (2006) · Interactive Technology and Smart Education · doi:10.1108/17415650680000058 · Cited by 38
Metadata
- Authors
- Brotherton, J. A., & Abowd, G. D.
- Venue
- ACM Transactions on Computer-Human Interaction
- Published
- 2004-06
- Volume
- 11
- Issue
- 2
- Pages
- 121-155
- ISSN
- 1073-0516 (ISSN-L)
- 1557-7325
- OpenAlex
- W2109726836
- Cited by
- 266
- References
- 0
- FWCI
- 99.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Lessons learned from eClass: Assessing automated capture and access in the classroom. https://app.cochat.ai/papers/10.1145/1005361.1005362
- The paper
- Brotherton, J. A., & Abowd, G. D. (2004). Lessons learned from eClass: Assessing automated capture and access in the classroom. ACM Transactions on Computer-Human Interaction. https://doi.org/10.1145/1005361.1005362
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
