27, February 2026

Artificial Intelligence in Secondary Education: Teacher’s Knowledge, Attitudes, Teaching Effectiveness, and Challenges

VOLUME-10; ISSUE-2; FEB-2026

Author(s): 1. Manjusha Kapri, 2. Dr. Devendra Singh Bisht

Authors Affiliations:

1Ph.D. Scholar, Department of Education, Soban Singh Jeena University, Almora, Uttarakhand, India

2Assistant Professor, Department of Education, Soban Singh Jeena University, Almora, Uttarakhand, India

DOIs:10.2017/IJRCS/202602013     |     Paper ID: IJRCS202602013


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Artificial Intelligence (AI) is increasingly influencing teaching and learning processes across secondary education systems. This present study investigates secondary school teachers’ knowledge of AI, their attitudes towards its use, perceived teaching effectiveness, and challenges associated with AI integration. A descriptive survey method was adopted, and data were collected from 120 secondary school teachers (60 male and 60 female) from government and private schools in Khatima city, Udham Singh Nagar district, Uttarakhand, India. A self-constructed 45-item scale covering four dimensions was used, and satisfactory reliability 0.94 and validity 0.85 were established. Statistical techniques including mean, standard deviation, t-test, and Pearson’s correlation were applied. The finding revealed no significant gender-based differences across AI-related dimensions. However, teachers’ AI knowledge and attitudes were positively associated with perceived teaching effectiveness, whereas challenges showed a weak negative relationship with effectiveness. The findings suggest that although teachers generally demonstrate positive perceptions towards AI, practical constraints such as insufficient training, limited infrastructure, and ethical concerns restrict its effective classroom use. The study emphasizes the importance of systematic professional development and institutional support to ensure responsible and meaningful integration of AI in secondary education.

Artificial Intelligence, Knowledge, Attitudes, Teaching Effectiveness, Challenges, Secondary School Teacher’s

Manjusha Kapri,   Dr. Devendra Singh Bisht (2026);  Artificial Intelligence in Secondary Education: Teachers’ Knowledge, Attitudes, Teaching Effectiveness, and Challenges, International Journal of Research Culture Society,    ISSN(O): 2456-6683,  Volume – 10,   Issue –  2,  Available on – https://ijrcs.org/

1. Bond, M., Zawacki-Richter, O., & Nichols, M. (2020). Revisiting five decades of educational technology research: A content and authorship analysis of the British Journal of Educational Technology. British Journal of Educational Technology, 51(1), 12–63. https://doi.org/10.1111/bjet.12816
2. Çayak, S. (2024). Investigating the relationship between teachers’ attitudes toward artificial intelligence and their AI literacy. Journal of Educational Technology & Online Learning, 7(4), 367–383.
3. Central Board of Secondary Education. (2020). Artificial intelligence curriculum for classes IX-XII. CBSE. https://cbseacademic.nic.in/skill-education.html
4. Central Board of Secondary Education. (2021). Capacity building programmes for classes teachers on artificial intelligence. CBSE. https://cbseacademic.nic.in
5. Government of India. (2020). New Education Policy 2020. New Delhi: Ministry of Education. https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf
6. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
7. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation, and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487
8. Sanusi, I. T., Oyelere, S. S., Vartiainen, H., & Suhonen, J. (2022). Teachers’ perceptions of the use of artificial intelligence in education. Education and Information Technologies, 27, 123–145. https://doi.org/10.1007/s10639-021-10697-9
9. UNESCO. (2021). Artificial intelligence and education: Guidance for policy-makers. UNESCO. https://unesdoc.unesco.org/
10. UNESCO. (2024). AI competency framework for teachers. UNESCO. https://unesdoc.unesco.org/
11. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
12. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
13. Wang, S., Wang, H., Li, J., & Chen, Y. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 234, 121098. https://doi.org/10.1016/j.eswa.2023.121098
14. Yim, I. H. Y., Park, S., & Kim, J. (2024). Teachers’ perceptions, attitudes, and acceptance of artificial intelligence learning tools: A systematic review. Frontiers in Education, 9, 1298456. https://doi.org/10.3389/feduc.2024.1298456
15. Zawacki-Richter, O., Marin, V. I., Bond, M., & Gouverneur, F. (2019). Artificial intelligence in education: An overview of the state of the art. International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

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