Materials Similar to ChatGPT reflects student misconceptions in physics
- 63%: Students as Co-creators: the Development of Student Learning Networks in PeerWise
- 54%: A New Tool for Measuring Student Behavioral Engagement in Large University Classes
- 54%: Visualizing patterns in CSEM responses to assess student conceptual understanding
- 54%: A Comparison of Student Misconceptions in Rotational and Rectilinear Motion
- 54%: Using natural language processing to predict student problem solving performance
- 52%: Student Learning In Upper-Level Thermal Physics: Comparisons And Contrasts With Students In Introductory Courses
- 52%: What happens between pre- and post-tests: Multiple measurements of student understanding during an introductory physics course
- 52%: Identifying and addressing student difficulties and misconceptions: examples from physics and from materials science and engineering
- 52%: Student performance on conceptual questions: Does instruction matter?
- 52%: Overcoming students’ misconceptions concerning thermal physics with the aid of hints and peer interaction during a lecture course
- 52%: Probing Student Ability to Construct Reasoning Chains: A New Methodology
- 52%: Student Cognition in Physics Group Exams
- 52%: Examining the relationship between student performance and video interactions
- 52%: Strong preference among graduate student teaching assistants for problems that are broken into parts for their students overshadows development of self-reliance in problem-solving
- 51%: Probing Student Understanding with Alternative Questioning Strategies
- 51%: Using Collaborative Group Exams to Investigate Students’ Ability to Learn
- 51%: What Do Students Want? Small Group Instructional Diagnoses of STEM Faculty
- 51%: Collaboration or copying? Student behavior during two-phase exams with individual and team phases
- 51%: Student behavior and test security in online conceptual assessment
