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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Liu, Ou Lydia; Rios, Joseph A.; Heilman, Michael; Gerard, Libby; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Constructed response items can both measure the coherence of student ideas and serve as reflective experiences to strengthen instruction. We report on new automated scoring technologies that can reduce the cost and complexity of scoring constructed-response items. This study explored the accuracy of c-rater-ML, an automated scoring engine…
Descriptors: Science Tests, Scoring, Automation, Validity
Nehm, Ross H.; Schonfeld, Irvin Sam – Journal of Research in Science Teaching, 2008
Growing recognition of the central importance of fostering an in-depth understanding of natural selection has, surprisingly, failed to stimulate work on the development and rigorous evaluation of instruments that measure knowledge of it. We used three different methodological tools, the Conceptual Inventory of Natural Selection (CINS), a modified…
Descriptors: Evolution, Science Education, Interviews, Measures (Individuals)
Schroeder, Carolyn M.; Scott, Timothy P.; Tolson, Homer; Huang, Tse-Yang; Lee, Yi-Hsuan – Journal of Research in Science Teaching, 2007
This project consisted of a meta-analysis of U.S. research published from 1980 to 2004 on the effect of specific science teaching strategies on student achievement. The six phases of the project included study acquisition, study coding, determination of intercoder objectivity, establishing criteria for inclusion of studies, computation of effect…
Descriptors: Test Format, Test Content, Academic Achievement, Meta Analysis

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