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Jing Fang; Xiong Xiao; Xiuling He; Yangyang Li; Huanhuan Yuan; Xiaomin Jiao – Interactive Learning Environments, 2024
Knowledge maps are teaching tools that can promote deeply learning and avoid knowledge loss by helping students plan learning paths. Mining potential association rules of concepts from student exercise data was a common method to construct knowledge maps automatically. While manual conditions should be set to filter the association rules future to…
Descriptors: Concept Mapping, Multivariate Analysis, Associative Learning, Learning Strategies
Xu, 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
YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
Jian-Wen Fang; Li-Yuan He; Gwo-Jen Hwang; Xiu-Wei Zhu; Chu-Nu Bian; Qing-Ke Fu – Interactive Learning Environments, 2023
STEM (Science, Technology, Engineering, and Mathematics) education is attracting increasing attention, but how to improve students' STEM learning achievement is still a big challenge. In the process of learning, students actively set learning goals, organize learning content, set learning standards, and independently adapt learning strategies and…
Descriptors: Students, STEM Education, Self Management, Concept Mapping
Kim, Min Kyu; Gaul, Cassandra J.; Bundrage, Crystal N.; Madathany, Reeny J. – Interactive Learning Environments, 2023
In this article, we explored the potential of the Student Mental Model Analyzer for Research and Teaching (SMART) technology that was designed to help students write and revise high-quality summaries of complex texts. Grounded in the design research, the aim of this pilot study was twofold: (a) to generate insights to further improve the SMART…
Descriptors: Technology Uses in Education, Reading Comprehension, Educational Technology, Schemata (Cognition)
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
Husni Mubarok; Chi-Jen Lin; Gwo-Jen Hwang – Interactive Learning Environments, 2024
In language learning, it is important to foster students' computational thinking and improve their skills of building arguments and dialectical structure, teamwork, and decision accuracy. This is especially so in English language courses which aim to promote students' cultural learning interest, creative thinking, and oral presentation.…
Descriptors: English (Second Language), Computer Simulation, Second Language Learning, Cooperative Learning
Chen-Chen Liu; Dan Wang; Gwo-Jen Hwang; Yun-Fang Tu; Ning-Yu Li; Youmei Wang – Interactive Learning Environments, 2024
Information literacy is an essential twenty-first-century skill for students. Most students face difficulty in discerning online information while searching, evaluating, and utilizing it effectively. Appropriate information evaluating framework, such as RADAR (relevance, authority, date, appearance, and reason for writing), has been recommended to…
Descriptors: Gamification, Educational Environment, Skill Development, Information Literacy
Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning
Cheng, Li-Chen; Chu, Hui-Chun – Interactive Learning Environments, 2019
Although computer-supported collaborative learning has been successfully applied in educational settings to improve group learning performance, most such systems still lack effective strategies for knowledge representation which could help reduce discussion time. In this study, concept mapping, already applied as a tool to help visualize and…
Descriptors: Cooperative Learning, Computer Uses in Education, Concept Mapping, Visual Aids
Xu, Zhe; Gu, Xiaoqing – Interactive Learning Environments, 2017
Using tools to support learning design has been proven feasible in improving the integration of technology into the curriculum. However, novice teachers are faced with two major issues, including their limited experience in learning design and limited ability in using new technologies. Learning map is explored and developed in e-Textbooks to…
Descriptors: Beginning Teachers, Concept Mapping, Instructional Design, Case Studies
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
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