1. Exploring students’ translation performance and use of intermediary representations among multiple representations: Example from torque and rotation
- Author
-
Meng Fei Cheng, Jang Long Lin, Jih-Yuan Chang, and Shih-Yin Lin
- Subjects
Computer science ,business.industry ,05 social sciences ,Critical factors ,050301 education ,Translation (geometry) ,computer.software_genre ,Education ,Concept learning ,Torque ,0501 psychology and cognitive sciences ,Artificial intelligence ,business ,0503 education ,Rotation (mathematics) ,computer ,Natural language processing ,050104 developmental & child psychology - Abstract
The ability to translate between representations is important for students’ conceptual learning. In this paper, students’ processes of translation between different representations are investigated in the topic of torque and rotation. Specifically, a test of representational translation was developed and implemented in order to investigate student performance on each translation type and to explore the critical factors contributing to successful translations. The results reveal that translations between tables and other representations are relatively difficult, and success rate changes when direction of translation is reversed. Furthermore, force diagrams and mathematic symbols/equations are essential intermediary representations that contribute significantly to successful translations.
- Published
- 2021