Explainable artificial intelligence model for intelligent assessment of vocational information literacy teaching skill
Assessing vocational tutors’ information literacy teaching competencies is essential for improving teaching effectiveness and bridging skills gaps. Traditional subjective evaluation methods highlight the need for objective, explainable artificial intelligence (XAI)-based assessments. The main purpose of the present research project is to study the knowledge-based teaching competencies of vocational tutors (VTs) in vocational education and training in Tamil Nadu, India. The proposed XAI-Information Literacy Teaching Ability (ILTA) model combines SHapley Additive exPlanations with support vector machine, decision tree, and neural network algorithms to objectively evaluate VTs’ ILTA. This study addresses the need to evaluate teaching effectiveness and the current lack of such evaluation. It addresses the skills gap between business demands and learners’ potential. This work applies current machine learning (ML) practices to develop an objective, flexible assessment method that surpasses traditional, subjective measures. This study investigates teachers’ ILTA at the teacher level using secondary data from the Organisation for Economic Co-operation and Development Teaching and Learning International Survey 2024 Public Use Files. The paper addresses the challenge of assessing information literacy-related teaching competencies. The research uses ML and XAI models to analyze anonymized teachers’ responses.
Ang, J., & Zhang, H. (2021). Investigation and analysis of online teaching in higher vocational colleges during the COVID-19 epidemic. In 2021 9th International Conference on Information and Education Technology (ICIET) (pp. 252–256). IEEE. https://doi.org/10.1109/ICIET51873.2021.9419577
Anmary, A. S., & Bhaumik, A. (2026). Leveraging AI and machine learning to enhance education. In The sustainable use of intelligent systems and cognitive engineering in education beyond borders (pp. 125–138). IGI Global, Hershey, PA.
Bag, S., Sinha, A., & Aich, P. (2023). Determinants of using online mode of teaching: Evidence from higher educational institutions. International Social Science Journal, 73(248), 415–434. https://doi.org/10.1111/issj.12403
Banerjee, S., Chakrabarti, T., Anand, M., Poddar, S., & Margala, M. (2026). Creating new avenues through digital humanities and promoting sustainable education. In The sustainable use of intelligent systems and cognitive engineering in education beyond borders (pp. 229–242). IGI Global, Hershey, PA.
Bo, W., Ali, D. A., & Duraipandi, O. (2025). Global research trends and thematic developments in artificial intelligence applications in medical education: A bibliometric study. Science Editing, 12(2), 143–151. https://doi.org/10.6087/kcse.373
Carpenter, S. K., Witherby, A. E., & Tauber, S. K. (2020). On students' (mis)judgments of learning and teaching effectiveness: Where we stand and how to move forward. Journal of Applied Research in Memory and Cognition, 9(2), 181–185. https://doi.org/10.1016/j.jarmac.2020.04.003
Chen, M., Zhou, C., & Wu, Y. (2020). Research on the model and development status of information literacy self-improvement ability of primary and secondary school teachers. In 2020 Ninth International Conference of Educational Innovation through Technology (EITT) (pp. 87–91). IEEE. https://doi.org/10.1109/EITT50754.2020.00021
Dadhich, M., Bhaumik, A., Hiran, K. K., & Janarthanan, M. (2026). Demystifying the enablers of business management students' path towards sustainable entrepreneurship education: Dual-edge SEM–ANN analysis. Journal of Innovation and Entrepreneurship, 15(1). https://doi.org/10.1186/s13731-026-00615-y
Darder, A., Hernandez, K., Lam, K. D., & Baltodano, M. (2023). Critical pedagogy: An introduction. In The critical pedagogy reader (pp. 1–30). Routledge, New York, NY. https://doi.org/10.4324/9781003286080-1
Deepak, J. P. L., Subramanian, Y. R., & Poddar, S. (2026). The role of AI in personalizing scenario-based learning and adaptive platforms: Transforming student engagement, learning outcomes, and the future of business education. In The sustainable use of intelligent systems and cognitive engineering in education beyond borders (pp. 165–174). IGI Global, Hershey, PA.
Faiz, M. M. U., Oruganti, S. K., & Khekare, G. (2026a). A comparative analysis of ABET-accredited programs in Asia. Discover Education, 5(1). https://doi.org/10.1007/s44217-026-01540-8
Faiz, M. M. U., Oruganti, S. K., & Khekare, G. (2026b). Divergent paths to global recognition: ABET accreditation strategies across three continents. In Driving institutional excellence through accreditation standards in higher education (pp. 203–243). IGI Global, Hershey, PA. https://doi.org/10.4018/979-8-3373-2965-9.ch008
Ghalib, R., & Alyasseri, Z. A. A. (2023). A recent review of underwater image enhancement techniques. In A. Swaroop, V. Kansal, G. Fortino, & A. E. Hassanien (Eds.), Proceedings of Fourth Doctoral Symposium on Computational Intelligence: DoSCI 2023 (Lecture Notes in Networks and Systems, Vol. 726, pp. 519–538). Springer, Singapore. https://doi.org/10.1007/978-981-99-3716-5_43
Ghanimi, H. M. A., Nowfal, S. H., Shnain, A. H., Aldami, A. K., & Hussain, A. (2022). Teaching from home. In Advances in educational technologies and instructional design (pp. 258–266). IGI Global, Hershey, PA. https://doi.org/10.4018/978-1-6684-5914-0.ch014
Gyimah, N. (2020). Assessment of technical and vocational education and training (TVET) on the development of the world's economy: Perspective of Africa, Asia and Europe. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3541072
Hammons, J. (2020). Teaching the teachers to teach information literacy: A literature review. The Journal of Academic Librarianship, 46(5), 102196. https://doi.org/10.1016/j.acalib.2020.102196
Hassan, W. H., Attea, Z. H., & Mohammed, S. S. (2020). Optimum layout design of sewer networks by hybrid genetic algorithm. Journal of Applied Water Engineering and Research, 8(2), 108–124. https://doi.org/10.1080/23249676.2020.1761897
Iwadi, I. M., Ali, D. A., & Jabari, M. (2025). The relationship between the application of artificial intelligence technology and the job performance quality in the education administration office in Hebron. In Studies in Big Data (pp. 49–58). Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-031-70855-8_5
Jamir, Y., & Babu, M. R. N. (2023). Digital competence among school teachers in Nagaland State: Differences with reference to type of management, work experience, and subject taught. Indian Journal of Educational Technology, 5(II), 133–142. https://journals.ncert.gov.in/IJET/article/view/574
Lei, H. (2020). Informational teaching concept in the reform of college English education. In 2020 International Conference on Computers, Information Processing and Advanced Education (CIPAE) (pp. 145–147). IEEE. https://doi.org/10.1109/CIPAE51077.2020.00046
Lismayanti, L., Elengoe, A., Sansuwito, T., & Falah, M. (2025). Digital health education for tuberculosis patients: A systematic review of self-care improvement via mobile applications. Journal of Advanced Research Design, 135(1), 183–201. https://doi.org/10.37934/ard.135.1.183201
Maharjan, K., Bhaumik, A., Ojha, S. K., & Chaudhary, D. (2026). Practices and challenges faced by dietitians and nutritionists and education awareness in Nepal. In The sustainable use of intelligent systems and cognitive engineering in education beyond borders (pp. 175–188). IGI Global, Hershey, PA.
Norrie, C. S., Deckers, S. R., Radstaake, M., & van Balkom, H. (2024). A narrative review of the sociotechnical landscape and potential of computer-assisted dynamic assessment for children with communication support needs. Multimodal Technologies and Interaction, 8(5), 38. https://doi.org/10.3390/mti8050038
Obaid, K. B. (2018). Mothers' attitudes toward childhood cancer in oncology unit in pediatric teaching hospitals at Baghdad City. Indian Journal of Public Health Research & Development, 9(10), 755. https://doi.org/10.5958/0976-5506.2018.01228.7
Phippen, A., Bond, E., & Buck, E. (2021). Effective strategies for information literacy education: Combatting 'fake news' and empowering critical thinking. In Future directions in digital information (pp. 39–53). Elsevier, Amsterdam, Netherlands. https://doi.org/10.1016/b978-0-12-822144-0.00003-3
Pilz, M., & Regel, J. (2021). Vocational education and training in India: Prospects and challenges from an outside perspective. Margin: The Journal of Applied Economic Research, 15(1), 101–121. https://doi.org/10.1177/0973801020976606
Piyasena, K. G. C. C., Mohammed, L. A., & Dhanapala, R. M. (2026). Bridging theory and practice: A framework for industry-academia partnerships in management education. International Journal of Management Education, 24(2), 101388. https://doi.org/10.1016/j.ijme.2026.101388
Poddar, S., Saha, D., & Ibrahim, R. H. (2026). Sustainable practice and emergence of AI in nursing education. In The sustainable use of intelligent systems and cognitive engineering in education beyond borders (pp. 267–282). IGI Global, Hershey, PA.
Regel, J., Ramasamy, M., & Pilz, M. (2022). Ownership in international vocational education and training transfer: The example of quality development in India. International Journal of Training and Development, 26(4), 664–685. https://doi.org/10.1111/ijtd.12290
Salah, A. A., Jamil, N., Sulaiman, H., Cangelosi, A., Alyasseri, Z. A. A., & Hosseini, E. (2026). Security, privacy, and AI integration in educational metaverse: A comprehensive review and framework. Journal of Educational Computing Research, 64(7), 1943–1986. https://doi.org/10.1177/07356331261436249
Shoukath, T., & Chakkaravarthy, M. (2025). Predictive analytics in education: Machine learning approaches and performance metrics for student success – A systematic literature review. Data and Metadata, 4, 730. https://doi.org/10.56294/DM2025730
Weiner, S. A. (2014). Who teaches information literacy competencies? Report of a study of faculty. College Teaching, 62(1), 5–12. https://doi.org/10.1080/87567555.2013.803949
Wickramasinghe, G. C., Mohammed, L. A., & Dhanapala, R. M. (2025). Gender-based influences on students' choices for computing disciplines in Sri Lankan fee-levying higher education institutes. International Journal of Education and Practice, 13(2), 601–611. https://doi.org/10.18488/61.v13i2.4115