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Session Type: Symposium
In this symposium, we present five projects that leverage natural language processing (NLP) to inform self-regulated learning (SRL) theory and provide models for using these methods to analyze student language in authentic learning contexts. Using SRL frameworks as an anchoring theoretical lens, we demonstrate how NLPs contribute to theory refinement and application by training large language models (LLMs), engineering prompts to produce feedback with AI, using AI to explore the language in think-aloud protocol codes, investigating student reporting with sentiment analysis, and using dictionary-based methods to investigate diverse student language-use. We close the session with a consideration of the inclusivity of NLP methods and ways to mitigate bias and appreciate all students' voices as they describe their learning processes.
Christina Hollander-Blackmon, University of North Carolina - Chapel Hill
Cristina D. Zepeda, Vanderbilt University
Capturing Students Metacognitive Study Strategies using NLP: Creating Pathways for Research and Practice - Wesley G. Morris, Vanderbilt University; Cristina D. Zepeda, Vanderbilt University
Using Educational Data Science to support Adaptive Learning Technologies for Self-Regulated Learning - Mathias Mejeh, Fachhochschule Nordwestschweiz; Martin Rehm, University of Southern Denmark
Using Mixed Logistic Regression to Model the Language in Self-Regulated Learning Think-Aloud Codes - Christina Hollander-Blackmon, University of North Carolina - Chapel Hill; Robert D Plumley, University of North Carolina - Chapel Hill; Matthew L. Bernacki, University of North Carolina - Chapel Hill; Jeff A. Greene, University of North Carolina - Chapel Hill
Processing of Self-Regulated Learning Feedback: Insights from Student Reflections Using Sentiment Analysis - Huy Nguyen, The Ohio State University; August Masonheimer, Purdue University; Christopher A. Wolters, The Ohio State University
Development of Dictionaries for Automated Assessment of Response to Self-Regulated Learning Skill Training: Promoting Real-time Responsiveness and Mitigating Bias - Matthew L. Bernacki, University of North Carolina - Chapel Hill; Hanna Salus, University of North Carolina - Chapel Hill