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Articles

Effect of different grouping arrangements on students’ achievement and experience in collaborative learning environment

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Pages 6366-6378 | Received 28 Sep 2021, Accepted 24 Jan 2022, Published online: 15 Feb 2022

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Changhao Liang, Rwitajit Majumdar, Yuta Nakamizo, Brendan Flanagan & Hiroaki Ogata. (2022) Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment: implementation study in a Japanese junior high school. Interactive Learning Environments 0:0, pages 1-24.
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Articles from other publishers (6)

Christopher G. Lechuga & Shayan Doroudi. (2022) Three Algorithms for Grouping Students: A Bridge Between Personalized Tutoring System Data and Classroom Pedagogy. International Journal of Artificial Intelligence in Education 33:4, pages 843-884.
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Sadhana Puntambekar, Dana Gnesdilow & Sinan Yavuz. (2023) Understanding the effect of differences in prior knowledge on middle school students’ collaborative interactions and learning. International Journal of Computer-Supported Collaborative Learning 18:4, pages 531-573.
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Zheng Zong & Christian D. Schunn. (2023) Does matching peers at finer-grained levels of prior performance enhance gains in task performance from peer review?. International Journal of Computer-Supported Collaborative Learning 18:3, pages 425-456.
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Changhao Liang, Yuko Toyokawa, Rwitajit Majumdar, Izumi Horikoshi & Hiroaki Ogata. (2023) Group formation based on reading annotation data: system innovation and classroom practice. Journal of Computers in Education.
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Hua Ma, Jingze Li, Yuqi Tang, Haibin Zhu, Zhuoxuan Huang & Wensheng Tang. (2023) Universal Optimization Framework: Leader-Centered Learning Team Formation Based on Fuzzy Evaluations of Learners and E-CARGO. IEEE Systems, Man, and Cybernetics Magazine 9:2, pages 6-17.
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Ekaterina Deviatiarova, Sergei Fadeev & Alexey Dukhanov. (2023) Analyzing Proficiency Patterns in Test Results Using Clustering and Augmentation Algorithms. Procedia Computer Science 229, pages 254-264.
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