Lessons learned from eClass: Assessing automated capture and access in the classroom
By Jason A. Brotherton, Gregory D. Abowd. TCHI, 2004
321 citations recorded by the source corpus.
Subfields: Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/e4fa9111a21856bbd385d4d3f6d8cd945ae2c4fb
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In Computer Science Applications
In Education
Citations in the corpus
- Impact of class lecture webcasting on attendance and learning (2010, methodology): “Moreover, studies comparing actual attendance counts for classes with and without webcast/podcast access ( Brotherton and Abowd 2004; Harley et al. 2003; Maag 2006) have found no significant differences between courses.”
- Predicting MOOC Dropout over Weeks Using Machine Learning Methods (2014, background): “Since the lecture videos are the most important learning resource for the learning participants, the video playing should be investigated as other researchers did (Brotherton and Abowd, 2004).”
- Evaluating a Web Lecture Intervention in a Human–Computer Interaction Course (2006, background): “Abowd’s eClass project [21], [22] automatically captured audio and video from live in-class lectures, aggregated with presentation slides, the instructor’s annotations, and visited websites.”