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Using Text Mining and Machine Learning to Predict Reasoning Activities from Think-Aloud Transcripts in Computer Assisted Learning
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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
The Influence of Perceived Constraints during Needs Assessment on Design Conjecture
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Stefaniak, Jill; Baaki, John; Hoard, Brent; Stapleton, Laura – Journal of Computing in Higher Education, 2018
Needs assessment is a fundamental step in the instructional design process where instructional designers must determine the difference between the current state of affairs and a desired state. Throughout the needs assessment process, the instructional designer must feel comfortable making decisions and assumptions based on the information that has…
Descriptors: Needs Assessment, Instructional Design, Intervention, Protocol Analysis
If a Picture Is Worth a Thousand Words Is Video Worth a Million? Differences in Affective and Cognitive Processing of Video and Text Cases
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Yadav, Aman; Phillips, Michael M.; Lundeberg, Mary A.; Koehler, Matthew J.; Hilden, Katherine; Dirkin, Kathryn H. – Journal of Computing in Higher Education, 2011
In this investigation we assessed whether different formats of media (video, text, and video + text) influenced participants' engagement, cognitive processing and recall of non-fiction cases of people diagnosed with HIV/AIDS. For each of the cases used in the study, we designed three informationally-equivalent versions: video, text, and video +…
Descriptors: Student Attitudes, Protocol Analysis, Affective Behavior, Cognitive Processes