Materials Similar to Multilingual Performance of a Multimodal Artificial Intelligence System on Multisubject Physics Concept Inventories
- 41%: Performance on In-Class vs. Online Administration of Concept Inventories
- 28%: Why normalized gain should continue to be used in analyzing preinstruction and postinstruction scores on concept inventories
- 28%: Performance of freely available vision-capable chatbots on the test for understanding graphs in kinematics
- 27%: Do Concept Inventories Actually Measure Anything?
- 26%: Examining evolving performance on the Force Concept Inventory using factor analysis
- 24%: In-class vs. Online Administration of Concept Inventories and Attitudinal Assessments
- 24%: Linking and comparing short and full-length concept inventories of electricity and magnetism using item response theory
- 24%: Preliminary results on a video-based force concept inventory
- 24%: Deeper look at question categories, concepts, and context covered: Modified module analysis of quantum mechanics concept assessment
- 23%: The effect of distracters on student performance on the Force Concept Inventory
- 23%: Student performance on conceptual questions: Does instruction matter?
- 23%: The Wave Concept Inventory - A Cognitive Instrument Based on Bloom’s Taxonomy
- 23%: Examining the relationship between student performance and video interactions
- 23%: Using natural language processing to predict student problem solving performance
- 22%: Learning Motion Concepts -- Sample Results from a National Collaboration of High Schools
- 22%: Learning Motion Concepts -- Sample Results from Massachusetts High Schools
- 22%: Plasticity of intermediate mechanics students’ coordinate system choice
- 22%: Gender gap on concept inventories in physics: What is consistent, what is inconsistent, and what factors influence the gap?
- 21%: Best Practices for Administering Concept Inventories
