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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
Wang, Sufen; Du, Ming; Yu, Rong; Wang, Zhijun; Sun, Jingjing; Wang, Ling – Interactive Learning Environments, 2023
It has been controversial whether the matching of learning styles with teaching environment has improved the teaching effects. This paper constructs matching modes by choosing Sternberg's three learning styles (liberal leaning, internal scope and global level) and adopts curriculum comprehensiveness and instructing modes. The research, based on…
Descriptors: Foreign Countries, Cognitive Style, Cognitive Processes, Information Processing
Zhi Liu; Rui Mu; Zongkai Yang; Xian Peng; Sannyuya Liu; Jia Chen – Interactive Learning Environments, 2023
Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…
Descriptors: MOOCs, Cognitive Processes, Learner Engagement, Discussion Groups
Zhong, Baichang; Zheng, Jijun; Zhan, Zehui – Interactive Learning Environments, 2023
This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning,…
Descriptors: Robotics, Programming, Junior High School Students, Educational Technology
Wu, Wei-Long; Hsu, Yen; Yang, Qi-Fan; Chen, Jiang-Jie; Jong, Morris Siu-Yung – Interactive Learning Environments, 2023
In recent years, several researchers have introduced spherical video-based virtual reality (SVVR) into classroom teaching to help students learn different subjects. In SVVR learning, learners are typically presented with great autonomy over their learning process. Therefore, learners should engage in self-regulated strategy (SRS) learning in order…
Descriptors: Learning Strategies, Video Technology, Computer Simulation, Academic Achievement
Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
Xiao-Fan Lin; Gwo-Jen Hwang; Jing Wang; Yue Zhou; Wenyi Li; Jiachun Liu; Zhong-Mei Liang – Interactive Learning Environments, 2023
Augmented reality (AR) can represent a contextualised scientific inquiry environment in which students may explore the real world and develop science process skills via interacting with rich information from virtual systems. However, it remains a challenge for most students to complete scientific inquiry tasks without proper support. Research…
Descriptors: Computer Simulation, Active Learning, Inquiry, Behavior Patterns
Jin Zhou; Jun-min Ye – Interactive Learning Environments, 2024
Online collaborative learning (OCL) has become a common instructional strategy in higher education for developing students' skills in collaboration, problem-solving, and critical thinking. Cognitive engagement in OCL evolves dynamically, but we do not yet fully understand which patterns of cognitive engagement are conducive to OCL and when to…
Descriptors: Electronic Learning, Cooperative Learning, Cognitive Processes, Learner Engagement
Di Zhang; Gwo-Jen Hwang; Shih-Ting Chu – Interactive Learning Environments, 2024
When encountering difficulties in conventional educational games, learners seldom self-regulate to discover and organize the learning content in the game environment. With the development of the human-computer interaction technology, computer agents are gradually being applied to educational games to provide personalized guidance or support to…
Descriptors: Intelligent Tutoring Systems, Educational Games, Technology Uses in Education, Academic Achievement
Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models