Exploring the Impact of AI- Powered Assessment Tool on Test Anxiety and Academic Self –Efficacy

Authors

  • Javeria Ashfaq Bhatti Assistant professor, National University of Modern Languages, Islamabad, Pakistan
  • Fareeha Ilyas PhD Scholar (Mass Communication), Lahore College for Women University, Lahore, Pakistan
  • Hina Naseer Special Educationist+ speech and language therapist, Punjab University, Lahore, Pakistan
  • Maham Farooq MPhil Scholar (Education), Institute of Education and Research, University of the Punjab, Lahore, Pakistan

DOI:

https://doi.org/10.47067/ramss.v8i2.533

Keywords:

Artificial Intelligence, Assessment, Test Anxiety, Academic Self-Efficacy, Higher Education, Student Performance, Educational Technology, Digital Learning, Adaptive Feedback, Stress Reduction

Abstract

This paper examined how AI-powered assessment tool affected the test anxiety and the academic self-efficacy of students. This was meant to analyze whether or not the use of artificial intelligence during assessment can help cut down on the stress and increase confidence concerning academic performance. The measurement was a quantitative design of research, and the study material was obtained in the form of a structured survey among the students of the university. The sample consisted of 280 respondents that were identified by random sampling. The statistical analysis was performed with the aid of the SPSS software, where the demographic variables were described with the help of descriptive statistics whereas the inferential techniques were used to test the connections between AI-powered assessment, test anxiety, and academic self-efficacy. The results indicated that AI-informed evaluation instruments limited the amount of test anxiety among students through prompt feedback, individual assessment as well as adaptive questioning practices. In addition, the results suggested the very close positive relationship between the practice of AI-based assessment and academic self-efficacy, since the respondents claimed to be more empowered, motivated, and confident in their performance results. The discussion implied that the AI-controlled tools would assist in streamlining the process of teaching to create a fair, clear and student-focused environment in order to mitigate emotional pressure during the examination and strengthen the force of personal beliefs. The present work reaches a conclusion that AI-based assessment software has the potential to be effective in the context of addressing the emotional and academic needs of students. In the study, their inclusion into tertiary education is suggested to improve the quality of assessment and well-being of students.

References

Ali, M., Rehman, S., & Cheema, E. (2025). Impact of artificial intelligence on the academic performance and test anxiety of pharmacy students in objective structured clinical examination: a randomized controlled trial. International Journal of Clinical Pharmacy, 1-8.

Alshammari, W. K. (2024). Test anxiety: a comparative study of post-graduate taught students in the UK and Saudi Arabia University of Glasgow].

Brown, G. T., & Zhao, A. (2023). In defence of psychometric measurement: A systematic review of contemporary self-report feedback inventories. Educational Psychologist, 58(3), 178-192.

Chen, C., Hu, W., & Wei, X. (2025). From anxiety to action: exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students. Interactive Learning Environments, 33(4), 3162-3177.

Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational technology & society, 25(1), 28-47.

Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Vighio, M. S., Alblehai, F., Soomro, R. B., & Shutaleva, A. (2024). Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions. Education and Information Technologies, 29(14), 18695-18744.

Das, B. N., Mohandas, A., & Syed, S. (2021). Study of stress, anxiety, depression and coping strategies among nursing students in a tertiary care teaching hospital, South India. Int J Community Med Public Health, 8(7), 3400.

Etherton, K., Steele-Johnson, D., Salvano, K., & Kovacs, N. (2022). Resilience effects on student performance and well-being: the role of self-efficacy, self-set goals, and anxiety. The Journal of general psychology, 149(3), 279-298.

Gao, S. (2024). Can artificial intelligence give a hand to open and distributed learning? A probe into the state of undergraduate students’ academic emotions and test anxiety in learning via ChatGPT. International Review of Research in Open and Distributed Learning, 25(3), 199-218.

Guanzon, A. A. (2024). Challenges and Strategies in Science Learning: A Thematic Review and Meta-Analysis.

Harris, R. B., Grunspan, D. Z., Pelch, M. A., Fernandes, G., Ramirez, G., & Freeman, S. (2019). Can test anxiety interventions alleviate a gender gap in an undergraduate STEM course? CBE—Life Sciences Education, 18(3), ar35.

Hou, L. (2025). Unboxing the intersections between self?esteem and academic mindfulness with test emotions, psychological wellness and academic achievement in artificial intelligence?supported learning environments: Evidence from English as a foreign language learners. British Educational Research Journal.

Johnson, A. (2024). The relationship between self-efficacy, self-esteem, and academic motivation Institute of Art, Design+ Technology].

Jones, T. (2025). Exploring Black Girls' Sources of Self-Efficacy for Artificial Intelligence During an Informal Learning Experience University of Florida].

Khan, A., & Madden, J. (2018). Active learning: a new assessment model that boost confidence and learning while reducing test anxiety. International Journal of Modern Education and Computer Science, 10(12), 1-9.

Koca, F., K?l?ç, S., & Dadand?, ?. (2024). Attitudes towards distance education and academic life satisfaction: The mediation role of academic self-efficacy and moderator role of gender. Technology, Knowledge and Learning, 29(2), 713-734.

Lee, H. Y., Musa, N., Wong, Y.-S., Nor, N. M., Mahsan, I. P., Wong, M.-J., & Lee, H.-L. (2024). Communication Technology-Enhanced Collaborative and Constructivism Learning in Improving Students’ Skills on Artworks Production: A Structural Equation Modelling Approach. PaperASIA, 40(4b), 202-225.

Liu, S., Zhao, W., Shanks, D. R., Hu, X., Luo, L., & Yang, C. (2024). Effects of test anxiety on self-testing and learning performance. Educational Psychology Review, 36(2), 59.

Mensah, C., Azila-Gbettor, E. M., Nunyonameh, C. R., Appietu, M. E., & Amedome, S. N. (2023). Research methods anxiety, attitude, self-efficacy and academic effort: A social cognitive theory perspective. Cogent psychology, 10(1), 2167503.

Mohammed, S. A., & Ahmed, N. S. (2023). Self-Assessment Tool For Improving Student’s Skills Regarding The Exams In Higher Education. Science Journal of University of Zakho, 11(3), 453-463.

Moreira, F. T., & Teles, R. O. (2024). Improving Student Assessment with Emerging AI Tools. IGI Global.

Naz, I., Malik, M., Farooq, T., & Munir, A. (2025). Impact of Using Artificial Intelligence (AI) Tools on Self-Esteem and Academic Performance of Students In Public and Private Universities of Lahore. Journal of Political Stability Archive, 3(3), 589-601.

Nguyen, H. K., Khau, M., Nguyen, H., & Pham, H. (2025). Developing an AI-Enhanced Individualized Prediction Tool for Psychopathological Symptoms in Vietnam: A Study Protocol. medRxiv, 2025.2008. 2003.25332928.

Nguyen, Q., & Hue, D. D. T. (2025). ChatGPT’s effects on EFL learners’ autonomy and self-efficacy in self-regulated learning contexts. The JALT CALL Journal, 21(2), 102968-102968.

Panda, G., Dash, M. K., Kaswan, M. S., & Chaudhary, R. (2025). Exploring the impact of digital technology in Indian higher education: A comprehensive analysis. The TQM Journal.

Raj, H. D., & Singh, M. X. P. (2025). Examining Test Anxiety and Its Alleviation: Assessing the Efficacy of Gamification in ESL Contexts. Creative Saplings, 4(2), 31-45.

Silva, M. P., do Nascimento Silva, V., & Chaimowicz, L. (2017). Dynamic difficulty adjustment on MOBA games. Entertainment Computing, 18, 103-123.

Vistorte, A. O. R., Deroncele-Acosta, A., Ayala, J. L. M., Barrasa, A., López-Granero, C., & Martí-González, M. (2024). Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review. Frontiers in psychology, 15, 1387089.

Williams, L. R. C. (2020). Tracking and Understanding At-Risk College Students' Self-Efficacy in a Treatment Mathematics Course. Michigan State University.

Wilson, K. P., & Sinha, A. (2025). Exploring the interrelationships between peer support self-efficacy and academic resilience among young adults. World Journal of Advanced Research and Reviews, 26(1), 2275-2282.

Zamfir, A.-M., & Mocanu, C. (2020). Perceived academic self-efficacy among Romanian upper secondary education students. International Journal of Environmental Research and Public Health, 17(13), 4689.

Zegarra-López, A. C., Luna-Victoria, G., Romero-Montenegro, D., Florentino-Santisteban, B., Prieto-Molinari, D. E., & Montoya-Cuadrao, M. (2022). Prevalence and predictors of somatization in Peruvian undergraduate students during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 19(23), 15576.

Zhao, C. (2024). AI-assisted assessment in higher education: A systematic review. Journal of Educational Technology and Innovation, 6(4).

Downloads

Published

2025-06-30

How to Cite

Bhatti, J. A., Ilyas, F. ., Naseer, H. ., & Farooq, M. . (2025). Exploring the Impact of AI- Powered Assessment Tool on Test Anxiety and Academic Self –Efficacy. Review of Applied Management and Social Sciences, 8(2), 1007-1021. https://doi.org/10.47067/ramss.v8i2.533