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Direct linkStefan Küchemann; Steffen Steinert; Natalia Revenga; Matthias Schweinberger; Yavuz Dinc; Karina E. Avila; Jochen Kuhn – Physical Review Physics Education Research, 2023
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Physics
Wadouh, Julia; Liu, Ning; Sandmann, Angela; Neuhaus, Birgit J. – International Journal of Science and Mathematics Education, 2014
Knowledge structure is an important aspect for defining students' competency in biology learning, but how knowledge structure is influenced by the teaching process in naturalistic biology classroom settings has scarcely been empirically investigated. In this study, 49 biology lessons in the teaching unit "blood and circulatory system" in…
Descriptors: Biology, Science Instruction, Questionnaires, Student Attitudes
Download full textZinth, Kyle – Education Commission of the States (NJ3), 2008
America's advantage has historically been its people's creativity, flexibility and entrepreneurship. But just as painters need to be proficient in technique and theory to produce great masterpieces, the next generation of Americans will likely require a solid grounding in mathematics and science for their creativity to be maximized in a world…
Descriptors: Educational Change, Foreign Countries, Science Curriculum, Secondary Education
