AI-Driven Collaboration Hubs for Optimizing Remote Teamwork in Higher Education: HBMSU as a Case Study.
DOI:
https://doi.org/10.54489/ijbas.v6i1.595Keywords:
Artificial Intelligence (AI), AI-Driven Collaboration, Remote Teamwork, Higher Education, Predictive Analytics, Digital CollaborationAbstract
This paper explores the effectiveness of AI-driven collaboration hubs in enhancing remote teamwork in higher education. A case study of Hamdan Bin Mohammed Smart University (HBMSU) is presented in this paper to investigate the identified gap. A conventional academic collaboration hub tool can provide features to some extent of communication and file-sharing, but still fail to support advance task management, coordination, and tailored learning-team connection. Introducing AI-driven tools and features such as automated scheduling, predictive analytics, effectiveness of virtual teamwork, adapted learning support, and knowledge sharing in remote settings will offer the possibility to enhance student and faculty collaboration. The research is prepared based on a qualitative cross-sectional survey and interview directed to the experts in the AI field across different programmers to capture observations of usability, automation, satisfaction, and engagement. The target of the survey and interview questionnaire is to assess the effect of AI-driven features on teamwork efficiency, communication quality, and platform adoption. In addition, to understand which exact AI features most contribute to improving remote teamworking efficiency among students and faculty. As a result of this research, it was observed that AI-driven collaboration significantly enhanced team efficiency, engagement, and overall satisfaction compared with conventional digital tools. Nevertheless, the challenge of integration issues and low awareness of advanced AI features emerged as the main barriers. The findings of research support both hypotheses of technology impact, which significantly improve the task efficiency and user engagement, and satisfaction.
References
Aithal, P. S., & Maiya, A. S. (2023). Artificial intelligence in higher education: Emerging opportunities and challenges. International Journal of Applied Engineering and Management Letters, 7(1), 1–15. (Verify publication details.)
Al-Zahrani, A., & Alasmari, T. (2024). Ethical considerations in educational technology research and data collection. Education and Information Technologies. (Verify volume, issue, and pages.)
Bairy, S. (2025). AI-enhanced remote learning and collaboration in higher education. Journal of Educational Technology Systems. (Verify publication details.)
Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1), 1–12. (Verify details.)
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Qualitative research methods in educational technology studies. Medical Education, 57(4), 345–353. (Verify details.)
Chu, H., Chen, Y., & Wang, L. (2022). Artificial intelligence and digital collaboration in higher education. Computers & Education, 180, 104438. (Verify details.)
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. Computers and Education: Artificial Intelligence, 4, 100131.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Fowler, F. J. (2023). Survey research methods (6th ed.). Sage Publications.
George, M. L., & Wooden, O. (2023). Artificial intelligence in higher education: Transforming collaboration and remote learning. Educational Technology Research and Development. (Verify publication details.)
Hasan, M., Nasreen, S., & Rasul, M. (2025). Artificial intelligence and collaborative skill development in higher education. Journal of Educational Computing Research. (Verify publication details.)
Hayes, A. (2020). Artificial intelligence and intelligent collaboration platforms in digital workplaces. Journal of Information Systems Management. (Verify publication details.)
Jony, M. T. I., & Hamim, M. A. (2024). AI-powered collaboration platforms and their impact on remote learning environments. International Journal of Educational Technology. (Verify publication details.)
Kovari, A. (2025). Artificial intelligence collaboration ecosystems in higher education institutions: A comparative study. Education Sciences. (Verify publication details.)
Lippert, S. K., Davis, M., & Morris, J. (2021). Socio-technical systems theory and digital transformation in education. Information Systems Management. (Verify publication details.)
Mustafa, N., Ahmed, S., & Rahman, M. (2021). Artificial intelligence adoption in higher education: Opportunities and challenges. International Journal of Emerging Technologies in Learning, 16(18), 4–19. (Verify details.)
Ojika, J. C., Owobu, T. J., & Abieba, A. O. (2023). Technology acceptance model and artificial intelligence adoption in higher education. International Journal of Technology and Education Research. (Verify publication details.)
Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of applications and challenges. Educational Technology & Society, 25(1), 1–17.
Rahiman, H. U., & Kodikal, R. (2024). Purposive sampling approaches in educational technology research. Journal of Research Methodology. (Verify publication details.)
Saini, R. (2025). Reinforcement learning and intelligent tutoring systems: Effects on learner engagement and satisfaction. Computers & Education: Artificial Intelligence. (Verify publication details.)
Tyagi, A., Gupta, R., & Mehndiratta, S. (2024). AI-enhanced learning management systems and collaborative learning in higher education. Education and Information Technologies. (Verify publication details.)
