Papers by Sankalan Pal Chowdhury
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation (2026.acl-long)
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| Challenge: | Existing systems that detect logical fallacies in public discourse do not help people recognize them independently. |
| Approach: | They propose an intelligent tutoring system which uses large language models to help humans learn about logical fallacies. |
| Outcome: | The proposed system outperforms baseline LLMs lacking such pedagogical strategies. |
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots (2024.findings-acl)
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| Challenge: | Educational chatbots are a promising tool for assisting student learning, but high-quality data is difficult to obtain due to privacy concerns. |
| Approach: | They propose a framework for generating synthetic teacher-student interactions grounded in a set of textbooks and propose to open-source their results. |
| Outcome: | The proposed framework captures a key aspect of learning interactions where curious students with partial knowledge ask teachers questions about the material in the textbook. |
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors (2026.findings-eacl)
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Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy
| Challenge: | pedagogical theories are not aligned with teaching strategies for educational tasks . quiet students may be disengaged or not thinking critically because they do not speak up . |
| Approach: | They propose a taxonomy that links pedagogical methods to personality profiles to map teaching strategies to student personality traits. |
| Outcome: | The proposed model improves the use of less common, high-impact strategies such as role-playing . the model also increases the use less common strategies such role-players . |
GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes (2025.acl-long)
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| Challenge: | a recent study has shown that homework is never graded or is done superficially. |
| Approach: | They propose a prompting strategy that enables GPT-4 to conduct interactive homework sessions for high school students learning English as a second language. |
| Outcome: | The proposed solution improves homework in high school students learning English as a second language with minimal effort in content preparation, one of the key challenges of alternative methods. |
PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf (2026.acl-demo)
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Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, Xuanqiang Angelo Huang, Vilém Zouhar, Dominik Glandorf, Isabel Dahlgren, Rishit Dagli, Yuen Chen, Felix Leeb, Van Q. Truong, Punya Syon Pandey, Yves Bicker, Suvajit Majumder, Wenyuan Jiang, Zeju Qiu, Sankalan Pal Chowdhury, Mrinmaya Sachan, Bernhard Schölkopf, Mona T. Diab, Zhijing Jin
| Challenge: | Emerging AI-powered writing assistants focus on grammar fixes or simulating peer review with final scores, yet they fall short of providing concrete, actionable suggestions that help students improve their papers during drafting. |
| Approach: | They propose a human-centered writing assistant system that delivers actionable suggestions as Overleaf-native inline comments while leaving the actual writing entirely to human authors. |
| Outcome: | The proposed system outperforms a baseline with the skill library and provides actionable suggestions while leaving the actual writing to human authors. |