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Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
Zheng, Lanqin; Zhong, Lu; Niu, Jiayu – Assessment & Evaluation in Higher Education, 2022
Learning analytics has been widely used in the field of education. Most studies have adopted a learning analytics dashboard to present data on learning processes or learning outcomes. However, only presenting learning analytics results was not sufficient and lacked personalised feedback. In response to these gaps, this study proposed a learning…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Feedback (Response)
Qi Guo; Charles R. Graham; Jered Borup; Bobbie Sandberg; Richard E. West – Distance Education, 2024
This research seeks to understand parental support for online students. Using a survey, this study examined perceptions from 567 parents from eight online K-12 programs in a Midwestern state regarding their support for students' online affective, behavioral, and cognitive engagement. Guided by the Academic Communities of Engagement Framework, our…
Descriptors: Learner Engagement, Online Courses, Barriers, Elementary Secondary Education
Chou, Yi-Shiuan; Hou, Huei-Tse; Chang, Kuo-En; Su, Chien-Lun – Interactive Learning Environments, 2023
This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners' cognitive thinking in history learning. This empirical…
Descriptors: Cognitive Processes, Handheld Devices, Electronic Learning, Thinking Skills
Sun, Jerry Chih-Yuan; Yu, Shih-Jou; Chao, Chih-Hsuan – Educational Psychology, 2019
The current study developed an intelligent learning environment for online education of research ethics and investigated how encouragement and warning intelligent feedback influenced learners' engagement (behavioural, emotional, and cognitive) and cognitive load (mental load and mental effort). Participants included 191 graduate students in Taiwan…
Descriptors: Feedback (Response), Learner Engagement, Cognitive Processes, Difficulty Level
Chu, Hui-Chun; Wang, Chun-Chieh; Wang, Lin – Educational Technology & Society, 2019
EFL (English as a foreign language) students usually learn by rote when they study English grammar. They usually memorize all the grammar rules mechanically instead of learning grammar in a structured way. Researchers have suggested that students can internalize knowledge via using knowledge construction tools and collaborated learning activities.…
Descriptors: Instructional Effectiveness, Concept Mapping, Cooperative Learning, Game Based Learning