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Learning to Recognize Dialect Features.

, , , , and . NAACL-HLT, page 2315-2338. Association for Computational Linguistics, (2021)

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Step-by-Step Remediation of Students' Mathematical Mistakes., , , , and . CoRR, (2023)M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes., and . L@S, page 59-69. ACM, (2023)Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform., , , and . LAK, page 632-644. ACM, (2024)GoEmotions: A Dataset of Fine-Grained Emotions., , , , , and . ACL, page 4040-4054. Association for Computational Linguistics, (2020)MD3: The Multi-Dialect Dataset of Dialogues., , , , and . INTERSPEECH, page 4059-4063. ISCA, (2023)Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring., , , and . L@S, page 422-426. ACM, (2024)Computationally Identifying Funneling and Focusing Questions in Classroom Discourse., , , , , and . CoRR, (2022)Learning to Recognize Dialect Features., , , , and . NAACL-HLT, page 2315-2338. Association for Computational Linguistics, (2021)Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing., , and . L@S, page 417-421. ACM, (2024)Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics., , , and . L@S, page 476-480. ACM, (2024)