AI-Driven Decision Support System Innovations to Empower Higher Education Administration
DOI:
https://doi.org/10.57159/gadl.jcmm.3.2.24070Keywords:
Decision Support Systems, Higher Education Administration, Data-Driven Decision-Making, Institutional Efficiency, Ethical ConsiderationsAbstract
This study explores the utilization, perceptions, and impacts of Decision Support Systems (DSS) in higher education administration. With a focus on DSS, a cross-sectional survey was conducted among higher education administrators from various institutions. The findings underscore the essential role of DSS in higher education administration, with administrators reporting significant utilization and praising their effectiveness and user-friendliness. The study reveals the positive influence of DSS on strategic planning, enrollment management, resource allocation, and student success initiatives. Moreover, it demonstrates the association between DSS usage and favorable outcomes, including increased efficiency and perceived positive consequences. However, persistent challenges such as data quality issues, privacy concerns, and resistance to change highlight the need for improved data management strategies, ethical considerations, and change management approaches. These findings contribute to the ongoing discourse on the transformative potential of DSS in higher education administration and provide valuable insights for businesses seeking to enhance decision-making, resource allocation, and data-driven initiatives. The innovative integration of AI in DSS for higher education administration represents a paradigm shift in decision-making processes, offering unprecedented opportunities for improvement and innovation.
References
E. Kurilovas, “On data-driven decision-making for quality education,” Computers in Human Behavior, vol. 107, p. 105774, 2020.
I. R. Gafurov, M. R. Safiullin, E. M. Akhmetshin, A. R. Gapsalamov, and V. L. Vasilev, “Change of the higher education paradigm in the context of digital transformation: From resource management to access control,” International Journal of Higher Education, vol. 9, no. 3, pp. 71–85, 2020.
S. V. Singh and K. K. Hiran, “The impact of AI on teaching and learning in higher education technology,” Journal of Higher Education Theory & Practice, vol. 12, 2022.
M. Treve, “What COVID-19 has introduced into education: Challenges facing higher education institutions (HEIs),” Higher Education Pedagogies, vol. 6, no. 1, pp. 212–227, 2021.
Y. K. Dwivedi, L. Hughes, E. Ismagilova, G. Aarts, C. Coombs, T. Crick, Y. Duan, R. Dwivedi, J. Edwards, and A. Eirug, “Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy,” International Journal of Information Management, vol. 57, p. 101994, 2021.
J. Maclaurin, C. Gavaghan, and A. Knott, “The impact of artificial intelligence on jobs and work in New Zealand,” 2021.
S. Sharma, G. Singh, C. S. Sharma, and S. Kapoor, “Artificial intelligence in Indian higher education institutions: A quantitative study on adoption and perceptions,” International Journal of System Assurance Engineering and Management, pp. 1–17, 2024.
X. Ferrer, T. Van Nuenen, J. M. Such, M. Coté, and N. Criado, “Bias and discrimination in AI: A cross-disciplinary perspective,” IEEE Technology and Society Magazine, vol. 40, pp. 72–80, 2021.
F. Samek, M. Eulers, M. Dresel, N. Jochems, A. Schrader, and A. Mertins, “COSY - AI enhanced assistance system for face to face communication trainings in higher healthcare education,” in Proceedings of the 16th International Conference on Pervasive Technologies Related to Assistive Environments, PETRA ’23: Proceedings of the 16th International Conference on Pervasive Technologies Related to Assistive Environments, Corfu, Greece, July 5, 2023.
C. Kustandi, D. Rimbano, and D. Suryadi, “Learning in the digital age: Harnessing decision support systems and case study for physics tutoring program,” Al-Ishlah, vol. 15, no. 4, 2023.
A. Alsobeh and B. Woodward, “AI as a partner in learning: A novel student-in-the-loop framework for enhanced student engagement and outcomes in higher education,” in The 24th Annual Conference on Information Technology Education, SIGITE ’23: The 24th Annual Conference on Information Technology Education, Marietta, GA, USA, October 11, 2023.
X. Liu, M. Faisal, and A. Alharbi, “A decision support system for assessing the role of the 5G network and AI in situational teaching research in higher education,” Soft Computing, vol. 26, no. 20, pp. 10741–10752, 2022.
R. Zekaj, “AI language models as educational allies: Enhancing instructional support in higher education,” International Journal of Learning Teaching and Educational Research, vol. 22, no. 8, pp. 120–134, 2023.
M. E. L. Taeza-Cruz and M. G. Capili-Kummer, “Decision support system to enhance students’ employability using data mining techniques for higher education institutions,” International Journal of Computing and Digital Systems, vol. 13, no. 1, pp. 1253–1262, 2023.
S. Gupta, S. Modgil, S. Bhattacharyya, and I. Bose, “Artificial intelligence for decision support systems in the field of operations research: Review and future scope of research,” Annals of Operations Research, pp. 1–60, 2022.
C. Greiner, T. C. Peisl, F. Höpfl, and O. Beese, “Acceptance of AI in semi-structured decision-making situations applying the four-sides model of communication—an empirical analysis focused on higher education,” Education Sciences, vol. 13, no. 9, p. 865, 2023.
N. Afriliana, Meyliana, F. L. Gaol, and H. Soeparno, “Intelligent decision support system for higher education institutions,” in 2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS), 2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS), Bali, Indonesia, December 14, 2023.
A. K. Jha, M. A. Agi, and E. W. Ngai, “A note on big data analytics capability development in supply chain,” Decision Support Systems, vol. 138, p. 113382, 2020.
G. L. Naik, M. Deshpande, D. Shivananda, C. Ajey, and G. Manjunath Patel, “Online teaching and learning of higher education in India during COVID-19 emergency lockdown,” Pedagogical Research, vol. 6, 2021.
Downloads
Published
How to Cite
License
Copyright (c) 2024 Journal of Computers, Mechanical and Management
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Journal of Computers, Mechanical and Management applies the CC Attribution- Non-Commercial 4.0 International License to its published articles. While retaining copyright ownership of the content, the journal permits activities such as downloading, reusing, reprinting, modifying, distributing, and copying of the articles, as long as the original authors and source are appropriately cited. Proper attribution is ensured by citing the original publication.
The journal is licensed under an 