Studying the Effect of Artificial Intelligence on the Performance of Integrated Teaching of StudentTeachers at Farhangian University

Authors

1 PhD in Artificial Intelligence and Robotics,Assistant Professor Farhangian University kashan, Tehran,iran

2 Assistant Professor Farhangian University kashan, Tehran,iran

10.48310/istt.2026.22676.1224

Abstract

Background and Objectives: The growth of digital technologies in recent decades has led to a fundamental transformation in teaching-learning methods and has provided new paths for teacher training. The aim of this study is to study the effect of artificial intelligence on the academic performance of students in integrated education.

Methods: This study was a quasi-experimental study with a pre-test-post-test design with a control group and was an applied research in terms of its purpose. The statistical population of this study included 375 students at Farhangian University of Kashan in the academic year 1404-1405. To select the sample, 60 undergraduate students were selected through convenience sampling. This number of people were randomly assigned to two experimental groups (30 people) and a control group (30 people). The data collection tool was the integrated education test (theoretical knowledge, production skills, and professional knowledge). The use of artificial intelligence in this study was implemented on the students of the experimental group during 10 sessions of 60 minutes. The analysis of covariance test was used to analyze the data and test the hypotheses.

Findings: The results of the findings showed that the use of artificial intelligence has a positive effect on the performance of blended teaching of students.
Conclusion: This research presents how to teach artificial intelligence in a practical way to students for the use of professors in teaching and reveals the opportunities and limitations of the use of artificial intelligence in education.

Highlights

Adjei, Y., Osei-Himah, V., Duku, P., & Siaw, W. N. (2023). The impact of performancebased assessment strategies on pre-service teachers’ self-efficacy and academic
achievement in general physics. Pedagogical Research, 8(4), em0168.
Akrami, & Ghaderi, M. (1403). The evolution of teachers' professional knowledge with
the emergence of artificial intelligence. Research in Teacher Education Curriculum
Studies, 4(1): 95-123. [In Persian]
Bekele, T. A., Mekonnen, B., & Getachew, S. (2025). Blended learning practices and
challenges in teacher education: Evidence from a teachers’ college. Education and
Information Technologies, 30, 327–336.
Bilbao-Eraña, A., & Arroyo-Sagasta, P. (2025). Teachers’ beliefs, readiness, and
perceptions toward artificial intelligence in education. Frontiers in Education, 10,
Article 1375475.
Chegni, Hh, Zanganeh, H , Mohammadi, Sh.(1404). Improving Higher Education:
Investigating the Impact of Artificial Intelligence on Instruction Experiences for
Students. Research and planning in higher education,31(3):15-34. [In Persian]
Daher, W. (2025). Artificial intelligence in primary education: Opportunities, challenges,
and ethical considerations. Discover Artificial Intelligence, 5, Article 21.
Glover, I., & Stewart, J. (2024). Blended learning in teacher education: Developing
future-ready teaching practices. Education Sciences, 14(6), 569.
Henry, A. (2021). Using a blended distance pedagogy in teacher education to address
challenges in teacher recruitment. Teaching and Teacher Education, 104, 103366.
Heydari, F, Dowlatabadi, Dehghani, M, Haji Mirza, Y,(1404). ntelligence on the
academic achievement of gifted elementary school students in Isfahan. 21st
International Conference on Management and Humanities Research in Iran. [In
Persian]
Heydarnejad, T., Tagavipour, F., Patra, I., & Khafaga, A. F. (2022). The impacts of
performance-based assessment on reading comprehension achievement, academic
motivation, foreign language anxiety, and students’ self-efficacy. Language Testing
in Asia, 12, Article 51.
Hosseini Azar, M(1403). Providing artificial intelligence solutions to improve
management and educational processes in educational institutions, Third
International Conference on Management, Education and Training Research in
Education, Tehran, [In Persian]
Kamrei, M & Kamrei, A (1402). A study of artificial intelligence and its importance in
education. 21st National Conference on Computer Science, Engineering and
Technology[In Persian].
Laupichler, M. C., Aster, M., Schirch, J., & Raupach, T. (2022). Artificial intelligence
literacy in higher and adult education: A systematic literature review. Computers and
Education: Artificial Intelligence, 3,
100101.
Osin, & Sahoo, M. (2022). Performance-based assessment in science at elementary
school level. International Journal of Advance and Applied Research, 9(5),
646–650.
Sperling, E., et al. (2024). In search of artificial intelligence (AI) literacy in teacher
education. Computers and Education Open, 5, 100167, pp. 2–3.
Yaghoubi, M., Pourhosein Gilakjani, A., & Abbasian, G. R. (2025). The effect of
performance-based assessment on academic resilience, motivation, and teacher 

support in virtual versus non-virtual classes. Language Testing in Asia, 15, Article
47.
Vazhayil, A., Shetty, R., Acharya, S., & Rao, S. (2019). Using a blended distance
pedagogy to develop technological competencies in teacher education. Education
and Information Technologies, 24(1), 71–89.
Zeinali, B. & Ahmadi, K. (2025). The Thinking Teacher in the Age of Artificial
Intelligence: A Phenomenology of Student Teachers' Lived Experiences in
Internship. Journal of Teaching Experiences, 3(4), 84-97.

Keywords

Main Subjects

References

Adjei, Y., Osei-Himah, V., Duku, P., & Siaw, W. N. (2023). The impact of performancebased assessment strategies on pre-service teachers’ self-efficacy and academic
achievement in general physics. Pedagogical Research, 8(4), em0168.
Akrami, & Ghaderi, M. (1403). The evolution of teachers' professional knowledge with
the emergence of artificial intelligence. Research in Teacher Education Curriculum
Studies, 4(1): 95-123. [In Persian]
Bekele, T. A., Mekonnen, B., & Getachew, S. (2025). Blended learning practices and
challenges in teacher education: Evidence from a teachers’ college. Education and
Information Technologies, 30, 327–336.
Bilbao-Eraña, A., & Arroyo-Sagasta, P. (2025). Teachers’ beliefs, readiness, and
perceptions toward artificial intelligence in education. Frontiers in Education, 10,
Article 1375475.
Chegni, Hh, Zanganeh, H , Mohammadi, Sh.(1404). Improving Higher Education:
Investigating the Impact of Artificial Intelligence on Instruction Experiences for
Students. Research and planning in higher education,31(3):15-34. [In Persian]
Daher, W. (2025). Artificial intelligence in primary education: Opportunities, challenges,
and ethical considerations. Discover Artificial Intelligence, 5, Article 21.
Glover, I., & Stewart, J. (2024). Blended learning in teacher education: Developing
future-ready teaching practices. Education Sciences, 14(6), 569.
Henry, A. (2021). Using a blended distance pedagogy in teacher education to address
challenges in teacher recruitment. Teaching and Teacher Education, 104, 103366.
Heydari, F, Dowlatabadi, Dehghani, M, Haji Mirza, Y,(1404). ntelligence on the
academic achievement of gifted elementary school students in Isfahan. 21st
International Conference on Management and Humanities Research in Iran. [In
Persian]
Heydarnejad, T., Tagavipour, F., Patra, I., & Khafaga, A. F. (2022). The impacts of
performance-based assessment on reading comprehension achievement, academic
motivation, foreign language anxiety, and students’ self-efficacy. Language Testing
in Asia, 12, Article 51.
Hosseini Azar, M(1403). Providing artificial intelligence solutions to improve
management and educational processes in educational institutions, Third
International Conference on Management, Education and Training Research in
Education, Tehran, [In Persian]
Kamrei, M & Kamrei, A (1402). A study of artificial intelligence and its importance in
education. 21st National Conference on Computer Science, Engineering and
Technology[In Persian].
Laupichler, M. C., Aster, M., Schirch, J., & Raupach, T. (2022). Artificial intelligence
literacy in higher and adult education: A systematic literature review. Computers and
Education: Artificial Intelligence, 3,
100101.
Osin, & Sahoo, M. (2022). Performance-based assessment in science at elementary
school level. International Journal of Advance and Applied Research, 9(5),
646–650.
Sperling, E., et al. (2024). In search of artificial intelligence (AI) literacy in teacher
education. Computers and Education Open, 5, 100167, pp. 2–3.
Yaghoubi, M., Pourhosein Gilakjani, A., & Abbasian, G. R. (2025). The effect of
performance-based assessment on academic resilience, motivation, and teacher 
support in virtual versus non-virtual classes. Language Testing in Asia, 15, Article
47.
Vazhayil, A., Shetty, R., Acharya, S., & Rao, S. (2019). Using a blended distance
pedagogy to develop technological competencies in teacher education. Education
and Information Technologies, 24(1), 71–89.
Zeinali, B. & Ahmadi, K. (2025). The Thinking Teacher in the Age of Artificial
Intelligence: A Phenomenology of Student Teachers' Lived Experiences in
Internship. Journal of Teaching Experiences, 3(4), 84-97.

Files

History

  • Receive Date: 09 April 2026
  • Revise Date: 21 May 2026
  • Accept Date: 06 June 2026
  • First Publish Date: 06 June 2026
  • Publish Date: 22 May 2026

Share

How to cite

Statistics