Anwar, Aamir, Rehman, Ikram ORCID: https://orcid.org/0000-0003-0115-9024, Dicheva, N.K. and Ul Haq, I (2024) Analysing user experience of dynamic group formation (DGF) in intelligent tutor collaborative learning (ITSCL) using aspect-based sentiment analysis. In: Interacción '23: XXIII International Conference on Human Computer Interaction, 04 Sep 2023, online.
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Abstract
Dynamic group formation is a crucial component of Computer-Supported Collaborative Learning (CSCL). It encourages students to collaborate in flexible, adaptive groups, which can improve learning results and promote collaborative abilities. As a result, this conference publication aims to evaluate the user experience of dynamic group formation in Intelligent Tutoring Supported Collaborative Learning (ITSCL), an intelligent tutoring collaborative learning system. The evaluation is essential for understanding the impact of this feature on user satisfaction and learning outcomes and can inform the design of more effective and user-friendly ITSCL systems. The authors present the user-experience evaluation of dynamic group formation in Intelligent Tutoring Supported Collaborative Learning (ITSCL). We conducted a user-experience experiment using an online questionnaire to gather user feedback on questions related to the user-experience paradigm and then employed an aspect-based sentiment analysis approach to extract user-experience centric aspects and emotions from user comments. The results demonstrate that the dynamic group formation feature of ITSCL positively impacts the user experience, and users reported satisfaction with the system's flexibility, adaptability, and interactivity. Moreover, our analysis provides a deep understanding of the aspects and emotions that are crucial to the user experience and can inform the design of future ITSCL systems.
Item Type: | Conference or Workshop Item (Paper) |
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ISBN: | 9798400707902 |
Subjects: | Computing > Innovation and user experience > Usability |
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Depositing User: | Marc Forster |
Date Deposited: | 11 Sep 2024 12:02 |
Last Modified: | 11 Sep 2024 12:02 |
URI: | https://repository.uwl.ac.uk/id/eprint/12418 |
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