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Direct linkXu, Yaqian; Du, Junlei – Interactive Learning Environments, 2023
Learners in connectivist learning are diverse. It's necessary to make a clear understanding of learners' participation types and characteristics for optimizing the learning support service and learning evaluation in connectivist learning. This study aims to describe different types of learners in connectivist learning from two dimensions of social…
Descriptors: Concept Mapping, Social Networks, Foreign Countries, Peer Relationship
Ma, Ning; Du, Lei; Zhang, Yan-Ling; Cui, Zhi-Jun; Ma, Rui – Interactive Learning Environments, 2023
In this study, an integrated collaborative learning and knowledge map approach was developed for online teacher professional development. An online teacher education environment based on that approach was constructed. To investigate the interaction between the knowledge map and collaborative learning strategies on teachers' learning performance…
Descriptors: Concept Mapping, Cooperative Learning, Faculty Development, Self Efficacy
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
Xia Xiao; Ziqi Fang; Shuaiyi Zou; Chengde Zhang; Xinzhong Chen – Interactive Learning Environments, 2024
Online learning has been greatly widespread since the explosion of COVID-19. However, due to the lack of interaction between teachers and students in online courses, it is very difficult for students to focus on course content and complete the learning. Therefore, we developed a novel intelligent multilevel knowledge graph to help students quickly…
Descriptors: Cues, Graphs, Visual Aids, Electronic Learning
Ma, Ning; Zhao, Feilong; Zhou, Peng-Qin; He, Jun-Jie; Du, Lei – Interactive Learning Environments, 2023
Online teacher professional development is widely regarded as a promising way to improve the quality of teachers and the effect of teaching. Micro-learning, which has the potential to fit the learner's personalized learning needs through a variety of small educational resources and flexible learning opportunities, could be an efficient way for the…
Descriptors: Concept Mapping, Faculty Development, Electronic Learning, Teaching Methods
Zhang, Yi; Chen, Bei-Lei; Ge, Jun; Hung, Cheng-Yu; Mei, Lin – Interactive Learning Environments, 2019
Rubrics can guide teachers to provide effective feedback and students' peer- and self-assessment. This paper examines the effect of rubric use in flipped learning activities on students' learning achievement, metacognitive awareness, and cognitive load through a quasi-experiment. A total of 83 university students were randomly assigned to an…
Descriptors: Blended Learning, Academic Achievement, Metacognition, Scoring Rubrics
