Clayton Cohn

According to our database, Clayton Cohn authored at least 27 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance.

Clayton Cohn, Surya Rayala, Siyuan Guo, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Ryan Li, Angela Eeds, Menton M. Deweese, Pamela Osborn Popp, Rebekah Stanton, Shakeera Walker, Ashwin T. S., Meiyi Ma, Gautam Biswas

CoRR, May, 2026

Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning.

Xiaoming Zhai, James W. Pellegrino, Matias Rojas, Jongchan Park, Matthew Nyaaba, Clayton Cohn, Gautam Biswas

CoRR, March, 2026

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation.

Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma

CoRR, February, 2026

Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning.

Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, T. S. Ashwin, Naveeduddin Mohammed, Hae Young Noh, Gautam Biswas

CoRR, January, 2026

Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning.

Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, Ashwin T. S., Naveeduddin Mohammed, Haley Noh, Gautam Biswas

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

The Role of LLM-Powered Conversational Agents in Supporting Inquiry in a Narrative-Centered Learning Environment: A Learning Analytics Study.

Namrata Srivastava, Megan Humburg, Sarah K. Burriss, Shruti Jain, Clayton Cohn, Yeo Jin Kim, Umesh Timalsina, Joshua A. Danish, Cindy E. Hmelo-Silver, Krista D. Glazewski, James C. Lester, Gautam Biswas

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms.

Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

How Teacher-Expert Collaboration Shapes the Quality of AI-Supported Scientific Inquiry Learning.

Xiaofei Zhou, Jiameng Wei, Clayton Cohn, Gautam Biswas, Guanliang Chen, Zhen Bai

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents.

Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton M. Deweese, Pamela Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents.

Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Comparing Text Augmentation by GPT-3.5 and Llama3 for Evaluating Student Responses.

Keith Cochran, Clayton Cohn, Jean-François Rouet, Peter M. Hastings

Int. J. Artif. Intell. Educ., December, 2025

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms.

Namrata Srivastava, Shruti Jain, Clayton Cohn, Naveeduddin Mohammed, Umesh Timalsina, Gautam Biswas

CoRR, September, 2025

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG).

Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T. S., Namrata Srivastava, Menton M. Deweese, Angela Eeds, Gautam Biswas

CoRR, May, 2025

CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring.

Clayton Cohn, Nicole Hutchins, Ashwin T. S., Gautam Biswas

CoRR, April, 2025

A multimodal approach to support teacher, researcher and AI collaboration in STEM+C learning environments.

Clayton Cohn, Caitlin Snyder, Joyce Horn Fonteles, Ashwin T. S., Justin Montenegro, Gautam Biswas

Br. J. Educ. Technol., March, 2025

2024

Using BERT to Identify Causal Structure in Students' Scientific Explanations.

Keith Cochran, Clayton Cohn, Peter M. Hastings, Noriko Tomuro, Simon Hughes

Int. J. Artif. Intell. Educ., September, 2024

Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review.

Clayton Cohn, Eduardo Davalos, Caleb Vatral, Joyce Horn Fonteles, Hanchen David Wang, Meiyi Ma, Gautam Biswas

CoRR, 2024

Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning.

Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis.

Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science.

Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs.

Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee, Daniel T. Levin

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Improving NLP Model Performance on Small Educational Data Sets Using Self-Augmentation.

Keith Cochran, Clayton Cohn, Peter M. Hastings

Proceedings of the 15th International Conference on Computer Supported Education, 2023

Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment.

Caleb Vatral, Madison Lee, Clayton Cohn, Eduardo Davalos, Daniel T. Levin, Gautam Biswas

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data Augmentation.

Keith Cochran, Clayton Cohn, Jean-François Rouet, Peter M. Hastings

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments.

Caleb Vatral, Gautam Biswas, Clayton Cohn, Eduardo Davalos, Naveeduddin Mohammed

Frontiers Artif. Intell., 2022

Improving Automated Evaluation of Formative Assessments with Text Data Augmentation.

Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022