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Qian Tian; Xudong Zheng – Journal of Computer Assisted Learning, 2024
Background: During the COVID-19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online…
Descriptors: Electronic Learning, COVID-19, Pandemics, Teaching Methods
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Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
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Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
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Tan, Sophia Huey Shan; Thibault, Guillaume; Chew, Anna Chia Yin; Rajalingam, Preman – Journal of Computer Assisted Learning, 2022
Background: Different types of assessments influence learning and learning behaviour. Multiple-choice questions (MCQs) reward partial knowledge and encourage surface learning, while open-ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team-based learning (TBL) curriculum, and it is challenging to implement OEQs as…
Descriptors: Questioning Techniques, Academic Achievement, Learner Engagement, Learning Processes
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Yin-Rong Zhang; Zhong-Mei Han; Tao He; Chang-Qin Huang; Fan Jiang; Gang Yang; Xue-Mei Wu – Journal of Computer Assisted Learning, 2025
Background: Collaborative programming is important and challenging for K12 students. Scaffolding is a vital method to support students' collaborative programming learning. However, conventional scaffolding that does not fade may lead students to become overly dependent, resulting in unsatisfactory programming performance. Objectives: This study…
Descriptors: Middle School Students, Grade 8, Scaffolding (Teaching Technique), Programming
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Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
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Lin, Ying-Lien; Wang, Wei-Tsong – Journal of Computer Assisted Learning, 2023
Background: This study aims to integrate the theories of social presence and social identity to examine the effectiveness of group-based problem-based learning (PBL) in learning communities. Social presence is a critical factor in determining the success of collaborative learning in group-based PBL activities. Although several studies have…
Descriptors: Problem Based Learning, Internship Programs, Social Behavior, Instructional Effectiveness
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Filiz Avci – Journal of Computer Assisted Learning, 2024
Background Study: Developments in science and technology, have created a need for technology-supported learning environments. Robotics is a technology widely used in science education. Collaborative learning is one of the methods used in education based on the constructivist approach. Using robotic and cooperative learning together is a new and…
Descriptors: Robotics, Teaching Methods, Academic Achievement, 21st Century Skills
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Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
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Hüseyin Ates; Mustafa Köroglu – Journal of Computer Assisted Learning, 2024
Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…
Descriptors: Cooperative Learning, Comparative Analysis, Academic Achievement, Learner Engagement
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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
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Slof, Bert; van Leeuwen, Anouschka; Janssen, Jeroen; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2021
In computer-supported collaborative learning research, studies examining the combined effects of individual level, group level and within-group differences level measures on individual achievement are scarce. The current study addressed this by examining whether individual, group and within-group differences regarding engagement and prior…
Descriptors: Cooperative Learning, Prior Learning, Secondary School Students, Academic Achievement
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Lin, C.-P.; Wong, L.-H.; Shao, Y.-J. – Journal of Computer Assisted Learning, 2012
This paper reports an investigation into the effects of collaborative concept mapping in a digital learning environment, in terms of students' overall learning gains, knowledge retention, quality of student artefacts (the collaboratively created concept maps), interactive patterns, and learning perceptions. Sixty-four 12-year-old students from two…
Descriptors: Cooperative Learning, Concept Mapping, Electronic Learning, Computer Uses in Education
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McMahon, Harry – Journal of Computer Assisted Learning, 1990
Discussion of the collaborative use of computers in the classroom highlights the National Curriculum in the United Kingdom. Literature is reviewed which tends to support the generalization that the use of computers in groups leads to positive educational gains, and teacher attitudes are explored. (45 references) (LRW)
Descriptors: Academic Achievement, British National Curriculum, Computer Assisted Instruction, Cooperative Learning
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Chen, A-Y.; Looi, Chee-K. – Journal of Computer Assisted Learning, 1999
Reports a case study in a Singapore school where a group of at-risk secondary students were given a series of linked computer-based projects. Describes the conceptual framework based on constructivism and situated learning and discusses benefits in academic performance, student motivation, language development, cooperation and stress management,…
Descriptors: Academic Achievement, Case Studies, Computer Uses in Education, Constructivism (Learning)