Effectiveness of AI in Enhancing Quality Higher Education: A Survey Study
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The integration of artificial intelligence (AI) in higher education has gained significant attention recently, with the potential to transform the learning experience and enhance educational quality. This study investigates the effectiveness of AI in enhancing the quality of higher education from the perspective of stakeholders, including students, faculty, and administrators. A survey method was employed to gather data on the perceived impact of AI on various aspects of higher education, such as teaching and learning, assessment, and administrative processes. The study examined the influence of factors such as gender, age, locality, and type of management on the perceptions of AI's effectiveness. The findings provide valuable insights into the current state of AI adoption in higher education and offer recommendations for optimizing its implementation to improve educational quality.
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Algorithms adapt content delivery to student profiles, learning performance, and individual preferences, enabling differentiated difficulty levels and targeted scaffolding.
“Algorithms adapt content delivery to student profiles, learning performance, and individual preferences, enabling differentiated difficulty levels and targeted scaffolding [53].”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [53]
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Publication manual of the American Psychological Association (7th ed.).
(2019) · American Psychological Association eBooks · doi:10.1037/0000165-000 · Cited by 542 · see citing works
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- Zhai, X. (2021). Artificial intelligence in education: From myth to reality. In K. G. Li, T. L. Wong, S. K. S. Cheung, J. Lam, & K. K. Ng (Eds.), Technology in education: Pedagogic practices and the new normal (pp. 21-41). Springer. https://doi.org/10.1007/978-981-16-1005-3_2 · DOI
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Adamakis, M., & Rachiotis, T. (2025) · Encyclopedia · doi:10.3390/encyclopedia5040180 · Cited by 76 · see citing works
- Authors
- -, D. M. K., & -, K. B.
- Affiliations
- Amrita Vishwa Vidyapeetham (IN)
- Venue
- International Journal For Multidisciplinary Research
- Published
- 2024-07-03
- Volume
- 6
- Issue
- 4
- ISSN
- 2582-2160 (ISSN-L)
- OpenAlex
- W4400389821
- Cited by
- 2
- References
- 1
- Citations by year
- 2025: 2
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-sa
- Locations
- International Journal For Multidisciplinary Research (publishedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Keywords
- artificial intelligence in higher education, educational quality, stakeholder perspectives, artificial intelligence adoption, teaching-learning process, assessment, administrative processes, gender differences, age differences, institutional type
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