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Direct linkYizhu 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
Peer reviewedStaver, John R.; Pascarella, Ernest T. – Journal of Research in Science Teaching, 1984
Determined effects of various methods and formats of administering a Piagetian task on college students' (N=376) performance. Concludes neither method nor format influenced subject performance; and this lack of influence is similar for various combinations of method and format. Importance of this finding and implications for teachers are…
Descriptors: Biology, Cognitive Processes, College Science, Developmental Stages
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
