Exploring the Spectrum of Artificial Intelligence Awareness: Understanding Graduate Teacher Trainees' Knowledge in the Gulf of Mannar

N. Sasikumar^1, and J. Alangaram¹

¹Department of Education, Alagappa University, Karaikudi, Sivaganga District, Tamil Nadu, India

Cite this paper:
N. Sasikumar and J. Alangaram. Exploring the Spectrum of Artificial Intelligence Awareness: Understanding Graduate Teacher Trainees' Knowledge in the Gulf of Mannar. American Journal of Educational Research. 2025; 13(9):425-431. doi: 10.12691/education-13-9-2

Abstract

The present study, Exploring the Spectrum of Artificial Intelligence (AI) Awareness: Understanding Graduate Teacher Trainees’ Knowledge in the Gulf of Mannar, examines the extent of AI awareness among graduate teacher trainees pursuing the Bachelor of Education (B.Ed.) programs in the Ramanathapuram and Thoothukudi districts of Tamil Nadu, India. A total of 300 trainees were selected using stratified random sampling, ensuring representation across institutional categories and demographic variables. Data were gathered through a structured questionnaire covering dimensions such as basic AI concepts, perceptions of AI applications in education, attitudes toward AI integration, ethical considerations, and readiness for adoption. Statistical analyses, including descriptive statistics, t-tests, and correlation methods, were employed to interpret the responses. The findings revealed that while trainees demonstrated moderate awareness of AI, notable variations were observed based on gender, college type, and geographical location. Importantly, participants expressed a strong willingness to integrate AI into teaching practices, acknowledging its potential to enhance instructional effectiveness and student engagement. However, concerns were also raised regarding ethical implications, data privacy, and equitable access. The study underscores the necessity of embedding AI literacy and training modules within teacher education programs to prepare future educators for an increasingly AI-driven educational environment.

Keywords:
Artificial Intelligence AI awareness Educational Technology and AI Integration

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.
[2]	Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO Working Papers on Education Policy, 7, 1–44. https:// unesdoc.unesco.org/ ark: / 48223/ pf0000366994.
[3]	Chaudhry, M. A., & Kazim, E. (2022). Artificial intelligence in education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(2), 1–9.
[4]	Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial intelligence and its role in education. Sustainability, 13(22), 12902.
[5]	Gocen, A., & Aydemir, F. (2021). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13–21.
[6]	Saputra, I., Astuti, M., Sayuti, M., & Kusumastuti, D. (2023). Integration of artificial intelligence in education: Opportunities, challenges, threats and obstacles. Indonesian Journal of Computer Science, 12(4), 223–236.
[7]	Mangla, M., Akhare, R., Deokar, S., & Mehta, V. (2020). Employing machine learning for multi-perspective emotional health analysis. In Emotion and Information Processing: A Practical Approach (pp. 199–211). Springer.
[8]	Nalbant, K. G. (2021). The importance of artificial intelligence in education: A short review. Journal of Review in Science and Engineering, 11(1), 1–15.
[9]	Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463.
[10]	Agrawal, A., McHale, J., & Oettl, A. (2019). Artificial intelligence, scientific discovery, and commercial innovation. National Bureau of Economic Research Working Paper No. 26257.