Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
Descriptor
| Abstract Reasoning | 1 |
| Artificial Intelligence | 1 |
| Coding | 1 |
| Computer Assisted Instruction | 1 |
| Information Retrieval | 1 |
| Linguistics | 1 |
| Prediction | 1 |
| Protocol Analysis | 1 |
| Thinking Skills | 1 |
| Transcripts (Written Records) | 1 |
Source
| Journal of Computing in… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkShan 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
