Dynamic group formation with intelligent tutor collaborative learning: a novel approach for next generation collaboration

Haq, Ijaz Ul, Anwar, Aamir, Rehman, Ikram ORCID: https://orcid.org/0000-0003-0115-9024, Asif, Waqar ORCID: https://orcid.org/0000-0001-6774-3050, Sobnath, Drishty, Sherazi, Hafiz Husnain Raza ORCID: https://orcid.org/0000-0001-8152-4065 and Nasralla, Moustafa M. (2021) Dynamic group formation with intelligent tutor collaborative learning: a novel approach for next generation collaboration. IEEE Access, 9. pp. 143406-143422.

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Abstract

Group Formation (GF) strongly influences the collaborative learning process in Computer-Supported Collaborative Learning (CSCL). Various factors affect GF that include personal characteristics, social, cultural, psychological, and cognitive diversity. Although different group formation methods aim to solve the group compatibility problem, an optimal solution for dynamic group formation is still not addressed. In addition, the research lacks to supplement collaborative group formation with a collaborative platform. In this study, the next level of collaboration in CSCL and Intelligent Tutoring System (ITS) platforms is achieved. First, initial groups are formed based on students learning styles, and knowledge level, i.e. for knowledge level, an activity-based dynamic group formation technique is proposed. In this activity, swapping of students takes place on each permutation based on their knowledge level. Second, the formed heterogeneous balanced groups are used to augment the collaborative learning system. For this purpose, a hybrid framework of Intelligent Tutor Collaborative Learning (ITSCL) is used that provides a unique and real-time collaborative learning platform. Third, an experiment is conducted to evaluate the significance of the proposed study. Inferential and descriptive statistics of Paired T-Tests are applied for comprehensive analysis of recorded observations. The statistical results show that the proposed ITSCL framework positively impacts student learning and results in higher learning gains.

Item Type: Article
Identifier: 10.1109/ACCESS.2021.3120557
Keywords: Human–computer interaction, computer-supported collaborative learning, group formation, knowledge level, collaborative learning, intelligent tutoring system
Subjects: Computing
Related URLs:
Depositing User: Ikram Rehman
Date Deposited: 27 Jul 2022 05:56
Last Modified: 28 Jul 2022 12:12
URI: https://repository.uwl.ac.uk/id/eprint/9269

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