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Enhancing Constructivist Learning: The Role of Generative AI in Personalised Learning Experiences
Open accessAbstract
This paper explores the transformative role of generative AI in enhancing constructivist learning, where students actively construct knowledge through meaningful experiences. By investigating the synergies between generative AI and constructivist learning, the study uncovers how AI fosters personalized educational experiences. The research underscores the profound influence of generative AI on constructivist learning, empowering students to become active, motivated, and lifelong learners by tailoring their education, fostering creativity and collaboration, and upholding ethical principles. The study advocates for the responsible and purposeful integration of generative AI, which would revolutionize education and prepare students for future challenges.
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“The use of personalised learning approaches leads to improved student engagement, better understanding of the material, and enhanced academic performance [26, 30–33].”
From Generative AI in Higher Education: Balancing Innovation and Integrity (2025) · cites this paper as [31]
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Research works printed but not linked: 4
- Liu, K. & LI, W. 2015. Organisational semiotics for business informatics , Routledge.
- Rasul, T., Nair, S., Kalendra, D., Robin, M., De Oliveira Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A. & Heathcote, L. 2023. The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6.
- Rudolph, J., Tan, S. & Tan, S. 2023. ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6.
- Weale, S. 2023. Lecturers urged to review assessments in UK amid concerns over new AI tool.
Cited by
Sorted by citations
Generative AI in Higher Education: Balancing Innovation and Integrity
Francis, N. J., Jones, S., & Smith, D. P. (2025) · British Journal of Biomedical Science · doi:10.3389/bjbs.2024.14048 · Cited by 295
“These models advocate for customising educational experiences to meet individual learner needs, abilities, and interests [30, 31].”
Tran, M., Balasooriya, C. D., Semmler, C., & Rhee, J. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01823-8 · Cited by 51
Adejumo, A. A., Oyelere, S. S., Sanusi, I. T., & Suhonen, J. T. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100570 · Cited by 24
Lau, K. H. C., Sen, S., Stark, P., Bozkir, E., & Kasneci, E. (2025) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3716553.3750760 · Cited by 22
Enhancing AI literacy for educators: Where to start and to what end?
Pei, B., Lu, J., Zhang, Z., Tuffour, P., & Park, S. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100550 · Cited by 18
Metadata
- Authors
- Guo, H., Yi, W., & Liu, K.
- Affiliations
- Queen Mary University of London (GB)
- Harrow School, Druries House, London, U.K., --- Select a Country ---
- University of Reading (GB)
- ORCID
- Venue
- Proceedings of the 26th International Conference on Enterprise Information Systems
- Published
- 2024
- Pages
- 767-770
- OpenAlex
- W4396573434
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 3
- FWCI
- 10.28
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Conference on Enterprise Information Systems (publishedVersion, cc-by-nc-nd)
- CentAUR (University of Reading) (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- generative AI, constructivist learning, personalized learning, knowledge construction, student motivation, lifelong learning, creativity, collaboration, AI ethics in education, responsible AI adoption
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