Semantic Networks Extracted from Students’ Think-Aloud Data are Correlated with Students’ Learning Performance (2025.emnlp-main)
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| Challenge: | Largescale open online courses (MOOCs) are available to hundreds of millions of learners, but efficiently evaluating these students' performance remains a crucial task for educators. |
| Approach: | They propose to use textbook-based information as a semantic network to extract concepts and relations from students' verbal data. |
| Outcome: | The proposed models extract concepts and relations from students’ verbal data and show that denser and more interconnected networks were associated with more elaborated knowledge acquisition. |
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