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Yu-Yin Wang; Yu-Wei Chuang – Education and Information Technologies, 2024
With the development of artificial intelligence (AI) applications, it has become critical for scholars, educators and practitioners to understand an individual's perceived self-efficacy regarding the use of AI technologies/products. Understanding users' subsequent behaviors toward the advancement of AI technology is also critical. Despite the…
Descriptors: Artificial Intelligence, Self Efficacy, Test Construction, Test Validity
Puyiqiu Liu; Zheng Huang; Yun Feng Zhang; Xiao Shu Xu – International Journal of Learning Technology, 2025
This study aimed to develop and validate the online learning experience scale for art students (OLESA) in higher education. A qualitative-quantitative sequential mixed-method design was used for the instrument validation. According to the widely-accepted scale development process, this study followed the steps of item pool generation, expert…
Descriptors: Foreign Countries, Online Courses, Art Education, College Students
Amssalu Wondmagegn Getu; Fikadu Edhetu Gashaw; Menberu Mengesha Woldemariam – Shanlax International Journal of Education, 2024
The study aimed to assess the effectiveness of the Predict-Explain-Enact-Observe-Reflect (PEEOR) instructional strategy on general science students' conceptual understanding and motivation in the topic of motion and force. The research employed a pre-test post-test quasi-experimental design. The sample consisted of 107 general science summer, year…
Descriptors: Physics, Science Instruction, Learning Motivation, Reflection