Clayton Cohn

According to our database, Clayton Cohn authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

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 Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew 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