Date
Publisher
arXiv
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.
Study at a glance
- Question: How do introductory physics students view the usefulness and accuracy of AI-generated feedback on their scientific arguments?
- Setting and data: An introductory physics class and student written scientific arguments.
- Method: Survey of students about the perceived usefulness and accuracy of AI-generated feedback on their written arguments.
Why it matters
Introductory physics students often focus on final answers rather than underlying principles. While scientific argumentation can foster critical thinking, providing timely, individualized feedback remains a challenge in large-enrollment courses.
Key findings
- In an introductory physics class, AI-generated feedback demonstrated viability for enhancing students' problem-solving and metacognitive skills in large-enrollment courses.
- Introductory physics students frequently rely on ineffective strategies, focusing on final answers rather than underlying principles.
- Integrating scientific argumentation into problem-solving fosters critical thinking and connects conceptual knowledge with practical application.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
