Applying the Rule Space Model to Develop a Learning Progression for Thermochemistry

作者：Chen Fu; Zhang Shanshan; Guo Yanfang; Xin Tao^*

来源：Research in Science Education, 2017, 47(6): 1357-1378.

DOI：10.1007/s11165-016-9553-7

• Thermochemistry
• Learning progressions
• Rule Space Model
• Cognitive Diagnostic Model
• Learning path

We used the Rule Space Model, a cognitive diagnostic model, to measure the learning progression for thermochemistry for senior high school students. We extracted five attributes and proposed their hierarchical relationships to model the construct of thermochemistry at four levels using a hypothesized learning progression. For this study, we developed 24 test items addressing the attributes of exothermic and endothermic reactions, chemical bonds and heat quantity change, reaction heat and enthalpy, thermochemical equations, and Hess's law. The test was administered to a sample base of 694 senior high school students taught in 3 schools across 2 cities. Results based on the Rule Space Model analysis indicated that (1) the test items developed by the Rule Space Model were of high psychometric quality for good analysis of difficulties, discriminations, reliabilities, and validities; (2) the Rule Space Model analysis classified the students into seven different attribute mastery patterns; and (3) the initial hypothesized learning progression was modified by the attribute mastery patterns and the learning paths to be more precise and detailed.

• 出版日期2017-12
• 单位北京师范大学