Materials Similar to Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
- 44%: Exploring Large Language Models as Formative Feedback Tools in Physics
- 34%: Analysis of student essays in an introductory physics course using natural language processing
- 32%: Student Perceptions of Physics by Inquiry at Ohio State
- 31%: Investigating student perceptions of creativity and generative ai in computational physics
- 31%: Impact on students' views of experimental physics from a large introductory physics lab course
- 31%: Using natural language processing to predict student problem solving performance
- 31%: Using metacognitive prompts to explore student reasoning trajectories
- 31%: From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics
- 30%: A New Tool for Measuring Student Behavioral Engagement in Large University Classes
- 30%: Insights into Student Metacognition from Reflective Writing in an Introductory Studio Physics Course
- 29%: Student Perceptions of an Introductory Laboratory Course
- 29%: Examining students’ perceptions of innovation and entrepreneurship in physics
- 29%: Sense of agency, gender, and students’ perception in open-ended physics labs
- 29%: Analysis of student perceptions of classroom structure, belongingness, and motivation in an introductory physics course
- 29%: Learning enhancing emotions predict student retention: Multilevel emotions of Finnish university physics students in and outside learning situations
- 29%: Applying machine learning models in multi-institutional studies can generate bias
- 29%: Exploring student beliefs of traditional physics laboratory coursework in relation to authentic research
- 28%: Student Satisfaction and Perceptions of Instructor Support in Studio Physics
- 28%: Student perceptions of the value of out-of-class interactions: Attitudes vs. Practice
