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Shen, Ji; Liu, Ou Lydia; Chang, Hsin-Yi – International Journal of Science and Mathematics Education, 2017
This paper presents a transformative modeling framework that guides the development of assessment to measure students' deep understanding in physical sciences. The framework emphasizes 3 types of connections that students need to make when learning physical sciences: (1) linking physical states, processes, and explanatory models, (2) integrating…
Descriptors: Physical Sciences, Academic Achievement, Knowledge Level, Cohort Analysis
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Liu, Ou Lydia; Shaw, Amy; Gu, Lin; Li, Guirong; Hu, Shangfeng; Yu, Ningning; Ma, Liping; Xu, Changqing; Guo, Fei; Su, Qi; Kardanovaj, Elena; Chirikov, Igor; Shi, Jinghuan; Shi, Zhaolei; Wang, Huan; Loyalka, Prashant – Higher Education Research and Development, 2018
Assessing student learning outcomes has become a global trend in higher education. In this paper, we report on the validation of the Chinese HEIghten® Critical Thinking assessment with a nationally representative sample of Electrical Engineering and Computer Science students from 35 institutions in China. Key findings suggest that there was a test…
Descriptors: Foreign Countries, Critical Thinking, Engineering Education, Computer Science Education
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Liu, Ou Lydia; Lee, Hee-Sun; Hofstetter, Carolyn; Linn, Marcia C. – Educational Assessment, 2008
In response to the demand for sound science assessments, this article presents the development of a latent construct called knowledge integration as an effective measure of science inquiry. Knowledge integration assessments ask students to link, distinguish, evaluate, and organize their ideas about complex scientific topics. The article focuses on…
Descriptors: Standardized Tests, Scoring Rubrics, Psychometrics, Concept Mapping