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Margarida Barros; Isabel Mesquita; Cristiana Bessa; Paula Queiros – Journal of Education and e-Learning Research, 2025
This systematic review examines how preservice teachers' (PSTs) domain-specific epistemological beliefs (EB) are studied and understood within initial teacher education (ITE) with attention to theoretical, contextual, and methodological aspects. Findings from 24 empirical studies published up to 2024 were synthesized. The review analyzed…
Descriptors: Preservice Teachers, Epistemology, Educational Research, Research Methodology
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Silvia Wen-Yu Lee – Research in Science & Technological Education, 2024
Research purposes and design: This study aimed to compare the effects of different explicit approaches used in modeling-based instruction on students' understanding of scientific models and modeling (USMM). In Study 1, a self-study approach was compared to a preliminary explicit approach. In Study 2, preliminary explicit approach and embedded…
Descriptors: Teaching Methods, Science Instruction, Models, Epistemology
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Yuan-Hsuan Lee; Huang-Yao Hong – Interactive Learning Environments, 2024
Integrating Information and Communication Technologies (ICT) for meaningful constructivist instruction has become essential in teacher education. This study investigated preservice teachers' intention to integrate ICT for constructivist learning from the perspectives of their Internet epistemic beliefs (IEB) and Internet-based learning…
Descriptors: Preservice Teachers, Information Technology, Technology Integration, Constructivism (Learning)
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Cheng-Tai Li; Huei-Tse Hou; Wei-Shen Lin – Research in Science & Technological Education, 2024
Background: Educational board games have been receiving attention from educators in recent years. Designing the rules of board games based on cognitive theory, and further analysing educational board games from more dimensions are important issues that warrant further study. Purpose: The research designed a board game called Chemistry Story to…
Descriptors: Foreign Countries, Junior High School Students, Grade 8, Chemistry
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Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence