The Impact of Artificial Intelligence on Education: A Survey
Authors
PhD in Research Higher Education Leadership Institute Australia (Australia)
Article Information
DOI: 10.51244/IJRSI.2026.1305000051
Subject Category: Data Science, Information Science
Volume/Issue: 13/5 | Page No: 552-558
Publication Timeline
Submitted: 2026-04-28
Accepted: 2026-05-04
Published: 2026-05-26
Abstract
This study presented the survey results on the attitudes towards the use of artificial intelligence (AI) in education. A convenience sample of 15 participants was recruited to complete a 10-question survey, which was designed using a combination of multiple-choice, drop-down menu, Likert, rating, and rank questions in Google Forms. The findings revealed that AI use was high, with 53% of participants reporting frequent or regular use. The mean rating of the impact was 4.13 5 (SD = 0.72). While 73% agreed that AI enhanced their learning performance, 87% also expressed concerns about AI's ethics. Using personalized learning was considered the most beneficial feature of AI. The results demonstrated the benefits and issues of incorporating AI into education, and the need for institutional policies to regulate its use.
Keywords
Artificial intelligence (AI), education, survey research, academic performance
Downloads
References
1. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500 [Google Scholar] [Crossref]
2. Bell, E., Bryman, A., & Harley, B. (2019). Business research methods (5th ed.). Oxford University Press. [Google Scholar] [Crossref]
3. Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education (8th ed.). Routledge. [Google Scholar] [Crossref]
4. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. [Google Scholar] [Crossref]
5. Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 22. https://doi.org/10.1186/s41239-023-00392-8 [Google Scholar] [Crossref]
6. Easterby-Smith, M., Jaspersen, L. J., Thorpe, R., & Valizade, D. (2021). Management and business research (6th ed.). SAGE Publications. [Google Scholar] [Crossref]
7. Israel, M., & Hay, I. (2006). Research ethics for social scientists. SAGE Publications. [Google Scholar] [Crossref]
8. Kasneci, E., Sessler, K., Kuechemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Gunnemann, S., Hullermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274 [Google Scholar] [Crossref]
9. Liamputtong, P. (2020). Qualitative research methods (5th ed.). Oxford University Press. [Google Scholar] [Crossref]
10. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education. [Google Scholar] [Crossref]
11. Newhart, M., & Patten, M. L. (2023). Understanding research methods: An overview of the essentials. Routledge. [Google Scholar] [Crossref]
12. Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education. [Google Scholar] [Crossref]
13. Saunders, M., Lewis, P., & Thornhill, A. (2023). Research methods for business students (9th ed.). Pearson Education. [Google Scholar] [Crossref]
14. Walliman, N. (2021). Research methods: The basics (3rd ed.). Routledge. [Google Scholar] [Crossref]
15. Zawacki-Richter, O., Marin, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education -where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Comprehensive Analysis of Mobile Banking Trends in Bangladesh: Data-Driven Insights on Growth, Seasonal Patterns, and the Impact of COVID-19
- Enhancing Data Analysis Skills of STEM Students through Targeted Seminar Workshop
- Development of a Customer Churn Prediction Model Using Machine Learning Techniques in the Telecommunications Industry