Papers by Abhijit Suresh
The TalkMoves Dataset: K-12 Mathematics Lesson Transcripts Annotated for Teacher and Student Discursive Moves (2022.lrec-1)
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| Challenge: | Currently, classroom recordings are limited due to practical and privacy concerns and sharing is restricted due to limited access to valuable resources and data sets. |
| Approach: | They propose to use the TalkMoves dataset to analyze the nature of teacher and student discourse in K-12 math classrooms. |
| Outcome: | The TalkMoves dataset contains 567 human-annotated K-12 mathematics lesson transcripts derived from video recordings. |
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse (2025.coling-main)
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Jie Cao, Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Amanda Howard, Chelsea Brown, Brent Milne, Tom Fischaber, Tamara Sumner, James H. Martin
| Challenge: | a recent study focuses on analyzing tutoring discourse using talk moves . scaling the collection, annotation, and analysis of extensive tutoring dialogues is a challenge . |
| Approach: | They propose to analyze tutoring discourse using talk moves to develop machine learning models . they use a compact dataset to analyze dialogue context, speaker information and ablation data . |
| Outcome: | The proposed model improves performance in classrooms and in small groups . the proposed model is based on existing datasets and models designed for classroom teaching . |