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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Broadbent, Jaclyn; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2018
This study examines a person-centered approach to self-regulated learning among 606 University students (140 online, and 466 in blended learning mode). Latent profile analysis revealed five distinct profiles of self-regulated learning: minimal regulators, restrained regulators, calm self-reliant capable regulators, anxious capable collaborators,…
Descriptors: Metacognition, Blended Learning, Online Courses, Profiles
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Land, Susan M. – Educational Technology Research and Development, 2000
Analyzes assumptions underlying learner-centered, technology-based environments in light of how well learners appear to meet the cognitive demands for engaging them. Design implications include the following considerations: direct learner attention to key variables and visual cues; prompt and guide connections to prior knowledge; and provide…
Descriptors: Cognitive Processes, Cognitive Style, Computer Assisted Instruction, Educational Environment