AI Adoption and Its Influence on Cognitive Engagement and Critical Thinking Among University Students

Authors

  • Shahbaaz Ahmed Research Scholar (Ph.D, - SRF), Department of Commerce, University of Calcutta, Kolkata, West Bengal, India
  • Ishani Singha Visiting Faculty, Department of Commerce, Ram Mohan College, Kolkata, West Bengal, India
  • Nandlal Pandey Former Post Graduate Student, Department of Commerce, University of Calcutta, Kolkata, West Bengal, India

DOI:

https://doi.org/10.54741/ASEJAR/5.2.2026.186

Keywords:

AI-assisted learning, higher education, critical thinking, artificial intelligence, cognitive engagement

Abstract

The swift adoption of artificial intelligence (AI) tools in higher education has greatly impacted the academic activities and study approaches of a large number of students, as well as their thinking styles. This research is concerned with the investigation of the extent of parties’ AI employment in multiple academic works, as well as exploring how patterns of AI use relate to the level of critical thinking. Based on primary data, the study makes use of a structured questionnaire to assess the frequency and purpose of AI-aided learning, as well as self-reported measures of critical thinking, among undergraduate and graduate students.

This descriptive - correlational study can reveal patterns of use, and it can explore potential relationships. Descriptive statistics, reliability tests and correlation analyses will be used to analyse the data to investigate the relationship between the degree of AI implementation in academic work and students’ cognitive engagement. The results will likely add substance to continuing conversations surrounding the potential educational fallout from AI and also offer actionable recommendations for educators attempting to right the scale between tech adoption and essential skills development.

Downloads

Download data is not yet available.

References

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153. https://doi.org/10.2478/jolace-2019-0025

Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2024). Artificial intelligence in K–12 education: Eliciting and reflecting on Swedish teachers’ understanding of AI and its implications for teaching and learning. Education and Information Technologies, 29, 4085–4105. https://doi.org/10.1007/s10639-023-11990-4

Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716

Yue, M., Jong, M. S. Y., & Ng, D. T. K. (2024). Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education. Education and Information Technologies, 29, 19505–19536. https://doi.org/10.1007/s10639-024-12621-2

Published

2026-03-30
CITATION
DOI: 10.54741/ASEJAR/5.2.2026.186
Published: 2026-03-30

How to Cite

Ahmed, S., Singha, I., & Pandey, N. (2026). AI Adoption and Its Influence on Cognitive Engagement and Critical Thinking Among University Students. Applied Science and Engineering Journal for Advanced Research, 5(2), 16–23. https://doi.org/10.54741/ASEJAR/5.2.2026.186

Issue

Section

Articles