Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration

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