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Ouyang, Fan; Ling, Tengjiao; Jiao, Pengcheng – Journal of Educational Computing Research, 2022
Group cognition is a cognitive science concept that studies how groups think, learn, and work. Most research investigates group cognition as a qualitative-oriented phenomenon. From a quantitative perspective, this research proposes a measure equation of group cognition, conducts empirical research during online collaborative problem-solving, and…
Descriptors: Group Dynamics, Cognitive Processes, Cooperative Learning, Electronic Learning
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Qing Guo; Huan Li; Sha Zhu – Journal of Educational Computing Research, 2024
Previous research has not adequately explored students' behavioral processes when addressing computational thinking (CT) problems of varying difficulty, limiting insights into students' detailed CT development characteristics. This study seeks to fill this gap by employing gamified CT items across multiple difficulty levels to calculate…
Descriptors: Computation, Thinking Skills, Student Behavior, Difficulty Level
The Effects of Three Instructor Participatory Roles on a Small Group's Collaborative Concept Mapping
Ouyang, Fan; Xu, Weiqi – Journal of Educational Computing Research, 2022
Collaborative concept mapping, as one of the widely used computer-supported collaborative learning (CSCL) modes, has been used to foster students' meaning making, problem solving, and knowledge construction. Previous empirical research has used varied instructional scaffoldings and has reported different effects of those scaffoldings on…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Concept Mapping, Problem Solving
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
Zhong, Baichang; Li, Tingting – Journal of Educational Computing Research, 2020
In Robotics Education (RE), the hands-on experience with troubleshooting problems is seen as a good catalyst to enhance the participants' problem-solving skills. Based on the pedagogical technique of collaborative learning and pair programming, pair learning is an emerging and potential method in RE, which means that students collaborate in pairs…
Descriptors: Robotics, Troubleshooting, Problem Solving, Teaching Methods
Zhong, Baichang; Wang, Qiyun; Chen, Jie; Li, Yi – Journal of Educational Computing Research, 2016
Computational thinking (CT) is a fundamental skill for students, and assessment is a critical factor in education. However, there is a lack of effective approaches to CT assessment. Therefore, we designed the Three-Dimensional Integrated Assessment (TDIA) framework in this article. The TDIA has two aims: one was to integrate three dimensions…
Descriptors: Thinking Skills, Computation, Foreign Countries, Experiments
Quan, Guolong; Gu, Xiaoqing – Journal of Educational Computing Research, 2018
Recent studies have demonstrated the integration of visualization technology to support collaboration and stimulate learning performance. The use of visualization tools during the collaborative activities of international students is a worthy topic for further exploration. Based on grounded and activity theories, this research uses observation and…
Descriptors: Visualization, Cross Cultural Training, Cooperative Learning, Computer Assisted Instruction

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