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Abstract Title: Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
Abstract Type: Contributed Poster Presentation
Abstract: Students in introductory physics courses often rely on ineffective strategies, focusing on final answers rather than understanding underlying principles. Integrating scientific argumentation into problem-solving fosters critical thinking and links conceptual knowledge with practical application. By facilitating learners to articulate their scientific arguments for solving problems, and by providing real-time feedback on students' strategies, we aim to enable students to develop superior problem-solving skills. Providing timely, individualized feedback to students in large-enrollment physics courses remains a challenge. Recent advances in Artificial Intelligence (AI) offer promising solutions. This study investigates the potential of AI-generated feedback on students' written scientific arguments in an introductory physics class. Using Open AI's GPT-4o, we provided delayed feedback on student written scientific arguments and surveyed them about the perceived usefulness and accuracy of this feedback. Our findings offer insights into the viability of implementing real-time AI feedback to enhance students' problem-solving and metacognitive skills in large-enrollment classrooms.
Footnote: This work is supported in part by U.S. National Science Foundation grants 23000645 and 2111138. Opinions expressed are of the authors and not of the Foundation
Session Time: Poster Session A
Poster Number: A-21
Contributed Paper Record: Contributed Paper Information
Contributed Paper Download: Download Contributed Paper

Author/Organizer Information

Primary Contact: Winter Rose Allen
Department of Physics and Astronomy, Purdue University
West Lafayettte, IN 47907
Phone: 8705043063
Co-Author(s)
and Co-Presenter(s)
Anand Shanker, Purdue University, 799 W Michigan St, Indianapolis, IN 46202

N. Sanjay Rebello, Dept. of Physics and Astronomy / Dept. of Curriculum \& Instruction, Purdue University, West Lafayette, IN-47907, U.S.A.

Contributed Poster

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