Student Perceptions on Artificial Intelligence (AI) in higher education
Abstract
This purpose of this study was to understand the student perceptions on the usage of Artificial Intelligence (AI) in higher education. AI could form part of higher education in multiple ways whether it be in the Teaching Learning process, Admission process, the Placement process or the Administrative process. The paper brings out the student perceptions on AI usage in business schools from those enrolled in full time program in business management. Online questioner was used to collect both quantitative and qualitative response. Data was collected from 682 student and statistical analysis have been used for arriving at conclusions. Ordination regression and correlation have been used for analysis of the data collect. The qualitative response was helpful to get the views that students have. The results indicate that student have a perception that AI can be effectively used in teaching learning process, academic administration processes, and should not be used in a few processes related to admission, examination and placements.
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Student perceptions on the use of AI are diverse, with support for its use as a learning assistant but concerns about its use in assessments.
“Student perceptions on the use of AI are diverse, with support for its use as a learning assistant but concerns about its use in assessments (Kumar & Raman, 2022).”
From Assessment design through co-creation (2025) · cites this paper as Kumar & Raman, 2022
Cites
Artificial Intelligence in Education: A Review
Chen, L., Chen, P., & Lin, Z. (2020) · IEEE Access · doi:10.1109/access.2020.2988510 · Cited by 4,133 · cited 1× · see citing works
“The usage of AI in higher education has resulted in better teacher effectiveness and improved learning experiences for the students [15].”
BackgroundArtificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772 · see citing works
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628 · cited 1× · see citing works
“Big Data technologies and supercomputing have empowered AI over the recent times and a complimentary role is envisaged between AI and human beings in an organization [6].”
BackgroundOrganizational Decision-Making Structures in the Age of Artificial Intelligence
Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019) · California Management Review · doi:10.1177/0008125619862257 · Cited by 1,108 · see citing works
Artificial Intelligence trends in education: a narrative overview
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.08.233 · Cited by 956 · see citing works
Preparing teachers for the application of AI-powered technologies in foreign language education
Pokrivcakova, S. (2019) · Journal of Language and Cultural Education · doi:10.2478/jolace-2019-0025 · Cited by 489 · see citing works
Artificial Intelligence Illuminated
Coppin, B. (2004) · Cited by 307 · see citing works
When technology meets people: the interplay of artificial intelligence and human resource management
Qamar, Y., Agrawal, R., Samad, T. A., & Jabbour, C. J. C. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2020-0436 · Cited by 217 · see citing works
Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch
Estévez, J., Garate, G., & Graña, M. (2019) · IEEE Access · doi:10.1109/access.2019.2956136 · Cited by 167 · see citing works
AI TOOLS IN DECISION MAKING SUPPORT SYSTEMS: A REVIEW
Phillips-Wren, G. E. (2012) · International Journal of Artificial Intelligence Tools · doi:10.1142/s0218213012400052 · Cited by 123 · see citing works
The future of computerized decision making
Elmegreen, B. G., Sanchez, S. M., & Szalay, A. S. (2014) · Winter Simulation Conference · doi:10.1109/wsc.2014.7019954 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chan, C. K. Y., & Lee, K. K. W. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00269-3 · Cited by 634 · see citing works
An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI
Chan, C. K. Y., & Zhou, W. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00284-4 · Cited by 192 · see citing works
Chen, K., Tallant, A. C., & Selig, I. (2025) · Information and Learning Sciences · doi:10.1108/ils-10-2023-0160 · Cited by 104 · see citing works
Patel, S., & Ragolane, M. (2024) · Technium Education and Humanities · doi:10.47577/teh.v9i.11452 · Cited by 82 · see citing works
Şova, R., Tudor, C. D., Tartavulea, C. V., & Dieaconescu, R. I. (2024) · Electronics · doi:10.3390/electronics13183632 · Cited by 82 · see citing works
Artificial Intelligence in STEM Education
Triplett, W. J. (2023) · Cybersecurity and Innovative Technology Journal · doi:10.53889/citj.v1i1.296 · Cited by 43 · see citing works
RETRACTED: ChatGPT in the classroom: navigating the generative AI wave in management education
Leelavathi, R., & Surendhranatha, R. C. (2024) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-01-2024-0017 · Cited by 50 · see citing works
RetractedConverging perspectives: Assessing AI readiness and utilization in Philippine higher education
Asirit, L. B. L., & Hua, J. H. (2023) · Polaris Global Journal of Scholarly Research and Trends · doi:10.58429/pgjsrt.v2n3a152 · Cited by 43 · see citing works
Artificial intelligence in education: Next-gen teacher perspectives
National University of Science and Technology Politehnica Bucharest, U. C. P., Samarescu, N., Bumbac, R., Bucharest University of Economic Studies, B., Zamfiroiu, A., Bucharest University of Economic Studies, B., Iorgulescu, M.-C., & Bucharest University of Economic Studies, B. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/65/145 · Cited by 28 · see citing works
Tominc, P., & Rožman, M. (2023) · Education Sciences · doi:10.3390/educsci13060580 · Cited by 30 · see citing works
Ethical Considerations in the Use of AI for Higher Education: A Comprehensive Guide
Li, Z., Dhruv, A., & Jain, V. (2024) · 2024 IEEE 18th International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc59802.2024.00041 · Cited by 23 · see citing works
Gesser‐Edelsburg, A., Hijazi, R., Eliyahu, E., & Tal, A. (2024) · European Journal of Open Distance and E-Learning · doi:10.2478/eurodl-2024-0008 · Cited by 21 · see citing works
Primary School Students' Perceptions of Artificial Intelligence: Metaphor and Drawing Analysis
Kalemkuş, J., & Kalemkuş, F. (2025) · European Journal of Education · doi:10.1111/ejed.70007 · Cited by 21 · see citing works
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Jawhar, S., Miller, J. A., & Bitar, Z. (2024) · IEEE International Conference on AI in Cybersecurity (ICAIC) · doi:10.1109/icaic60265.2024.10433829 · Cited by 25 · see citing works
Jaén, J. M. S., León-Gómez, A., Martínez, M. D. C. V., & Muñoz, V. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13712-4 · Cited by 17 · see citing works
Gawlik-Kobylińska, M. (2024) · Education Sciences · doi:10.3390/educsci14101132 · Cited by 14 · see citing works
Opinión del alumnado universitario de educación sobre el uso de la IA en sus tareas académicas
Herrero, J. F. Á. (2024) · European Public & Social Innovation Review · doi:10.31637/epsir-2024-534 · Cited by 12 · see citing works
Gual, L. M., & Parejo, J. L. (2025) · European Journal of Education · doi:10.1111/ejed.12919 · Cited by 11 · see citing works
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Acosta-Enriquez, B. G., Zapata, L. I. V., Jordan, O. H., Roca, C. L., Cipirán, B. M. C., Villacrez, W. S., & Várgas, C. G. A. P. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/5933157 · Cited by 14 · see citing works
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Robiños, J. R. O., Binhamza, M. H., Casyao, I. M., Combis, H., Melgar, S. M., Sora, L., & Austria, M. G. (2024) · Journal of interdisciplinary perspectives · doi:10.69569/jip.2024.0591 · Cited by 10 · see citing works
Kubullek, A.-K., Kumaç, N., & Dogangün, A. (2024) · Proceedings of Mensch und Computer 2024 · doi:10.1145/3670653.3677507 · Cited by 10 · see citing works
Azmir, S. M., & Atikuzzaman, M. (2025) · The Electronic Library · doi:10.1108/el-01-2025-0038 · Cited by 10 · see citing works
Lu, W., Lalli, G. S., & Jiang, G. (2025) · European Journal of Education · doi:10.1111/ejed.70233 · Cited by 7 · see citing works
University students’ perceptions and adoptions of AI: a cross-national study
Marmolejo‐Ramos, F., Abadia, R., Karakale, Ö., Barrera-Causil, C., Männikkö, N., Ghorbani, B. D., Strzelecki, A., Nwizu, S. C., Tavares, C. R. G., Castillo, M., et al. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01042-4 · Cited by 4 · see citing works
Impact of Artificial Intelligence on Higher Education: A Literature Review
Galdames, I. S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-78155-1_35 · Cited by 4 · see citing works
Assessment design through co-creation
Williams, A., & Ingle, E. (2025) · International Journal for Students as Partners · doi:10.15173/ijsap.v9i1.5802 · Cited by 3 · see citing works
Vārpiņa, Z., & Fredheim, K. (2025) · Springer proceedings in complexity · doi:10.1007/978-3-031-78623-5_13 · Cited by 2 · see citing works
Generative AI in Multicultural Classrooms
Panmei, B. (2025) · International Journal of Multicultural Education · doi:10.18251/ijme.v27i2.5165 · Cited by 3 · see citing works
Cavalcanti, W. M., & Tavares, E. M. (2025) · International Journal of Educational Management · doi:10.1108/ijem-12-2024-0854 · Cited by 2 · see citing works
Code Comprehension Problems in Introductory Programming to Overcome ChatGPT
Rebollido, F. Y., & Caro, J. D. L. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-73344-4_50 · Cited by 2 · see citing works
Perception of Prospective Teachers on AI Application in Educational Field
Nithya, S. (2023) · Shanlax International Journal of Arts Science and Humanities · doi:10.34293/sijash.v11is1i2-nov.7311 · Cited by 1 · see citing works
Khaleel, F., Harte, P., & Avdukić, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13701-3.00330-3 · Cited by 1 · see citing works
Mirza, K. B., & Arif, M. (2026) · Education for Information · doi:10.1177/01678329261460361
Coleman, A., & Beta, K. (2024) · Contributions to management science · doi:10.1007/978-3-031-58704-7_12 · Cited by 1 · see citing works
Generative Artificial Intelligence in Teaching, Learning, and Assessment
Arora, P., & Pillai, N. S. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5518-3.ch004
Exploring the Potentiality of Artificial Intelligence in the Higher Education System
Ansary, M. S., Mahato, I., Mahanti, J., Gorai, N., & Behera, S. K. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-7220-3.ch005
Alexeeva-Alexeev, I., & Comesaña, P. C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5162897
UNIVERSITY STUDENTS' ACCEPTANCE AND AVERSION TO ARTIFICIAL INTELLIGENCE
(2025) · Education and New Developments 2022 – Volume I · doi:10.36315/2025v2end099
Fatagani-Valerio, J. M. M., Valerio, J. R. G., Balancio, J. P., & Pimentel, J. L. (2025) · Psychology and Education A Multidisciplinary Journal · doi:10.70838/pemj.460706
Impact of Artificial Intelligence on Higher Education in Peru: A Pre-experimental Study
Vidaurre, S. M. E., Valdivia, A. N. M., Quelopana, R. L. G., Nolasco-Mamani, M. A., Iturry, I. E. A., & Rodríguez, N. C. V. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-93109-3_39
Ryan, O., Drinkwater, K., Sajadi, S., & Huerta, M. V. (2025) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--57735
Kituku, B., Araka, E., & Maina, E. M. (2025) · International Conference on Information and Communication Technology for Development for Africa (ICT4DA) · doi:10.1109/ict4da67218.2025.11282535
Vargas, A. M. P., Delgado, M. A. S., Acosta-Guzmán, I. L., & Silva, D. H. Z. (2025) · Revista Científica Multidisciplinar G-nerando · doi:10.60100/rcmg.v6i2.884
Moya-Arroyo, J. J., & Nije, L. D. (2026) · Revista Colombiana de Educación · doi:10.17227/rce.num98-22863 · Cited by 1 · see citing works
Moura, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-0101-1.ch003
Validation of the Turkish Version of the ChatGPT Literacy Scale
Bulut, A., Gökhan, A. B. A., Mutlu, C., Guven‐Uslu, P., & Çalışkan, R. E. (2026) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2026.2665784
Students, AI, and the Future of Higher Education: A Scoping Review of Perceptions and Concerns
Farrokhnia, M., Salimi, G., & Ahmadshahi, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29773-0_28
Moiseev, S. V., Tolstova, M. A., Nesterenko, V. V., Garina, A. V., & Kondratyev, A. Y. (2026) · Psychological Science and Education · doi:10.17759/pse.2026310311
Capability Reconfiguration, AI-Enabled HR, and the Political Economy of Academic Performance
Alam, A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-8959-2.ch011
Students' Behavior, Perceptions and Use of AI in a Secondary Technical Electronics Course
Golin, J. F., & Miranda, F. (2026) · Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (TAEE) · doi:10.1109/taee68119.2026.11701952
Perceptions of artificial Intelligence use in online graduate coursework: a Q methodology study
Bartlett, M., Ehrlich, S., Bartlett, J., & Maurya, R. K. (2026) · Journal of Research on Technology in Education · doi:10.1080/15391523.2026.2737303
- Authors
- Ravi Kumar, V. V., & Raman, R.
- Affiliations
- Symbiosis Institute of Business Management, Pune Symbiosis International (Deemed University),Pune,India
- Symbiosis International University (IN)
- ORCID
- Raman, Ramakrishnan
- Venue
- 2022 IEEE Integrated STEM Education Conference (ISEC)
- Publisher
- IEEE
- Published
- 2022-03-26
- Pages
- 450-454
- OpenAlex
- W4318710913
- Cited by
- 51
- References
- 11
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 18 · 2023: 6
- FWCI
- 9.17
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Integrated STEM Education Conference (ISEC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Keywords
- artificial intelligence in higher education, student perceptions, business schools, business administration students, AI in teaching and learning, university administration, university admission, student placement, examinations
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