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Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
Busch, K.C.; Ardoin, Nicole; Gruehn, Daniel; Stevenson, Kathryn – International Journal of Science Education, 2019
This study explores the influence of cognitive (knowledge and certainty) and psychosocial (social norms and efficacy) variables on youth's climate change-related behaviour, with the aim to create an empirically supported theoretical model for youth's choice to take action to mitigate climate change. This survey-based research was conducted with…
Descriptors: Climate, Models, Middle School Students, High School Students