Evaluation Rubric of High School Chemistry Instructional Design Aiming at Deep Learning
CHENG Jun1,2, MAI Yu-Hua3, LI Lin-Shen4, WANG Hou-Xiong5**
1. Department of Artificial Intelligence Education, Central China Normal University, Wuhan 430079, China; 2. Guangdong Academy of Education, Guangzhou 510035, China; 3. The Education Development Institute of Liwan District, Guangzhou 510375, China; 4. Shishan Shimen Senior High School, Nanhai District, Foshan 528200, China; 5. Faculty of Teacher Education, Central China Normal University, Wuhan 430079, China
Abstract Middle school chemistry instructional design aiming at deep learning is an important basis for deep learning and the cultivation of chemistry core competency. Evaluation rubric of deep learning-oriented chemistry instructional design including nine indicators is a guiding tool to promote teachers’ instructional design. After experts’ argumentation and evaluation, teachers’ application and the analysis of Many-Facet Rasch model, the evaluation rubric has good quality. In the future, it is necessary to strengthen the raters’ understanding of evaluation rubric, improve the scientificity of using evaluation rubric, and develop teachers’ ability of instructional design.
CHENG Jun, MAI Yu-Hua, LI Lin-Shen, WANG Hou-Xiong. Evaluation Rubric of High School Chemistry Instructional Design Aiming at Deep Learning[J]. Chinese Journal of Chemical Education, 2024, 45(15): 33-39.
