Enhancing Junior High School Teaching Performance Through AI-Supported Deep Learning Approaches
DOI:
https://doi.org/10.21009/jtp.v27i3.61743Keywords:
AI, Deep Learning, teaching performance, junior high school, educational mediaAbstract
supported deep learning approaches in improving the teaching performance of junior high school teachers. With the increasing demand for 21st-century teaching competencies, there is a need for innovative instructional strategies that enhance teacher effectiveness and engagement. A quantitative quasi-experimental method was employed, involving pre-tests and post-tests administered to both control and experimental groups. The study involved 64 junior high school teachers across science and social studies subjects. Teaching performance was assessed using structured observation and evaluation tools covering lesson planning, implementation, and assessment practices. Data analysis was conducted using t-tests and normalized gain (n-gain) scores. The findings demonstrated that the teachers in the experimental group—who utilized AI-supported deep learning approaches—showed significantly greater improvement in teaching performance compared to the control group. The intervention was classified as “effective” in fostering meaningful, interactive, and future-ready instructional practices. The study concludes that integrating AI-supported deep learning strategies can substantially enhance teaching quality. It is recommended that educational institutions incorporate these approaches into ongoing professional development initiatives to better prepare teachers for modern educational demands. The findings demonstrated that the teachers in the experimental group showed significantly greater improvement in teaching performance.
References
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potent ial of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
Alzankawi, M. (2024). The Contribution of Technological Innovations to Enhance Education for Sustainable Development. International Journal of Education, Learning and Development, 12(7), 35–48. https://doi.org/10.37745/ijeld.2013/vol12n73548
Anggriani, N. M. G., Artini, L. P., & Marsakawati, N. P. E. (2023). Teachers’ Roles in an Online English Teaching. Lingua Scientia, 29(2), 77–85. https://doi.org/10.23887/ls.v29i2.37007
Banerjee, M., Chiew, D., Patel, K. T., Johns, I., Chappell, D., Linton, N., Cole, G., Francis, D. P., Szram, J., Ross, J., & Zaman, S. (2021). The Impact of Artificial Intelligence on Clinical Education: Perceptions of Postgraduate Trainee Doctors in London (UK) and Recommendations for Trainers. BMC Medical Education, 21(1). https://doi.org/10.1186/s12909-021-02870-x
Berisha Qehaja, A. (2025). Strategic integration of artificial intelligence solutions to transform teaching practices in higher education. Foresight. https://doi.org/10.1108/FS-04-2024-0079
Cao, Y., & Sun, Y. (2024). The Research on the Application of Deep Learning in Education. Ieti Transactions on Data Analysis and Forecasting (Itdaf), 2(3), 4–11. https://doi.org/10.3991/itdaf.v2i3.51413
Capinding, A. T., & Dumayas, F. T. (2024). Transformative Pedagogy in the Digital Age: Unraveling the Impact of Artificial Intelligence on Higher Education Students. Problems of Education in the 21st Century, 82(5), 630–657. https://doi.org/10.33225/pec/24.82.630
Çelik, İ., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: A Systematic Review of Research. Techtrends, 66(4), 616–630. https://doi.org/10.1007/s11528-022-00715-y
Chowdhury, R. R., & Singha, A. K. (2023). Importance of Integration Modern Technology in Higher Education. Knowledgeable Research: A Multidisciplinary Journal, 1(09), 71–82. https://doi.org/10.57067/kr.v1i09.78
Christiani, N., Tungka, N. F., & Nainggolan, R. (2023). Teachers’ Role in Online Learning: Perspectives of Prospective Indonesian EFL Teachers. Journal of Education and E-Learning Research, 10(2), 187–193. https://doi.org/10.20448/jeelr.v10i2.4504
Dobricki, M., Evi-Colombo, A., & Cattaneo, A. (2020). Situating Vocational Learning and Teaching Using Digital Technologies - A Mapping Review of Current Research Literature. International Journal for Research in Vocational Education and Training, 7(3), 344–360. https://doi.org/10.13152/IJRVET.7.3.5
Eden, C. A., Adeleye, O. O., & Adeniyi, I. S. (2024). A Review of AI-driven Pedagogical Strategies for Equitable Access to Science Education. Magna Scientia Advanced Research and Reviews, 10(2), 44–54. https://doi.org/10.30574/msarr.2024.10.2.0043
Eltayeb, G. eldin A. (2025). Harnessing Artificial Intelligence Tools to Enhance Smart Learning. International Journal of Learning, Teaching and Educational Research, 24(2), 503–524. https://doi.org/10.26803/ijlter.24.2.25
Faucon, L., Olsen, J. K., Håklev, S., & Dillenbourg, P. (2020). Real-Time Prediction of Students’ Activity Progress and Completion Rates. Journal of Learning Analytics, 7(2), 18–44. https://doi.org/10.18608/jla.2020.72.2
González-Pérez, L. I., & Ramírez-Montoya, M. S. (2022). Components of Education 4.0 in 21st Century Skills Frameworks: Systematic Review. Sustainability, 14(3), 1493. https://doi.org/10.3390/su14031493
Hassan, R. H., Hassan, M. T., Naseer, S., Khan, Z., & Jeon, M. (2021). ICT Enabled TVET Education: A Systematic Literature Review. IEEE Access, 9, 81624–81650. https://doi.org/10.1109/ACCESS.2021.3085910
Kaminskienė, L., Järvelä, S., & Lehtinen, E. (2022). How does technology challenge teacher education? International Journal of Educational Technology in Higher Education, 19(1), 64. https://doi.org/10.1186/s41239-022-00375-1
Kasim, J. F. M. (2024). A Review on Technological Innovations in Education. International Journal For Multidisciplinary Research, 6(6). https://doi.org/10.36948/ijfmr.2024.v06i06.34022
Kshetri, N. (2023). The Future of Education: Generative Artificial Intelligence’s Collabor ative Role With Teachers. IT Professional, 25(6), 8–12. https://doi.org/10.1109/mitp.2023.3333070
Lokaj, B., Pugliese, M., Kinkel, K., Lovis, C., & Schmid, J. (2023). Barriers and Facilitators of Artificial Intelligence Conception and Implementation for Breast Imaging Diagnosis in Clinical Practice: A Scoping Review. European Radiology, 34(3), 2096–2109. https://doi.org/10.1007/s00330-023-10181-6
Maisarah. (2019). Metode Penelitian Pendidikan Pendekatan Kuantitatif. In Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif Dan R&D.
Masoumi, D., & Noroozi, O. (2023). Developing early career teachers’ professional digital competence: a systematic literature review. European Journal of Teacher Education, 1–23. https://doi.org/10.1080/02619768.2023.2229006
Nguyen, G. N., Bower, M., & Stevenson, M. (2022). The Discourse of Design: Patterns of TPACK Contribution During Pre-Service Teacher Learning Design Conversations. Education and Information Technologies, 27(6), 8235–8264. https://doi.org/10.1007/s10639-022-10932-w
Noguera, I., Barrientos, D., Torres-Sánchez, M., & Pineda-Herrero, P. (2024). Exploring Pedagogical and Digital Practices in Vocational Education and Training: Comparing Teacher and Student Perspectives. Education Sciences, 14(7), 734. https://doi.org/10.3390/educsci14070734
Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing Education Through Ai: A Comprehensive Review of Enhancing Learning Experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–607. https://doi.org/10.51594/ijarss.v6i4.1011
Paliwal, M., Rajak, B. K., Kumar, V., & Singh, S. (2022). Assessing the role of creativity and motivation to measure entrepreneurial education and entrepreneurial intention. International Journal of Educational Management, 36(5), 854–874. https://doi.org/10.1108/IJEM-05-2021-0178
Papanikolaou, K. A., Makri, K., Sofos, I., Tzelepi, M. G., & Zalavra, E. (2022). Putting TPACK into action in learning design: The case of PeerLAND. Australasian Journal of Educational Technology, 38(6), 53–74. https://doi.org/10.14742/ajet.7556
Parveen, D. S., & Ramzan, S. I. (2024). The Role of Digital Technologies in Education: Benefits and Challenges . International Research Journal on Advanced Engineering and Management (IRJAEM), 2(06), 2029–2037. https://doi.org/10.47392/irjaem.2024.0299
Patten, M. L., & Newhart, M. (2018). Descriptive and Inferential Statistics. In Understanding Research Methods. https://doi.org/10.4324/9781315213033-66
Riyanda, A. R., Parma Dewi, I., Jalinus, N., Ahyanuardi, Sagala, M. K., Rinaldi, D., Prasetya, R. A., & Yanti, F. (2025). Digital Skills and Technology Integration Challenges in Vocational High School Teacher Learning. Data and Metadata, 4, 553. https://doi.org/10.56294/dm2025553
Riyanto, S., & Hatmawan, A. A. (2020). Metode Riset Penelitain Kuantitatif. In Deepublish.
Sánchez-Prieto, J., Trujillo-Torres, J. M., Gómez-García, M., & Gómez-García, G. (2021). Incident Factors in the Sustainable Development of Digital Teaching Competence in Dual Vocational Education and Training Teachers. European Journal of Investigation in Health, Psychology and Education, 11(3), 758–769. https://doi.org/10.3390/ejihpe11030054
Saritepeci, M. (2022). Modelling the Effect of TPACK and Computational Thinking on Classroom Management in Technology Enriched Courses. Technology, Knowledge and Learning, 27(4), 1155–1169. https://doi.org/10.1007/s10758-021-09529-y
Shinners, L., Aggar, C., Stephens, A. S., & Grace, S. (2023). Healthcare Professionals’ Experiences and Perceptions of Artificial Intelligence in Regional and Rural Health Districts in Australia. Australian Journal of Rural Health, 31(6), 1203–1213. https://doi.org/10.1111/ajr.13045
Slade, J. J., Byers, S. M., Becker-Blease, K. A., & Gurung, R. A. R. (2024). Navigating the New Frontier: Recommendations to Address the Crisis and Potential of AI in the Classroom. Teaching of Psychology, 52(3), 254–261. https://doi.org/10.1177/00986283241276098
Suman, S. (2025). The Inclusion of Artificial Intelligence in Teaching Learning Process is Blessing or Curse. Journal of Information Systems Engineering and Management, 10(26s), 593–612. https://doi.org/10.52783/jisem.v10i26s.4265
Sunny, S., Sugandha, S., Devesh, L., & Bhavna, G. (2024). Technological Integration in Higher Education: Insights from the Indian Context. European Economic Letters. https://doi.org/10.52783/jier.v4i2.1129
Tucker, M. C., Shaw, S. T., Son, J. Y., & Stigler, J. W. (2023). Teaching Statistics and Data Analysis with R. Journal of Statistics and Data Science Education, 31(1). https://doi.org/10.1080/26939169.2022.2089410
Velázquez-García, L. (2025). AI-Based Applications Enhancing Computer Science Teaching in Higher Ed ucation. Journal of Information Systems Engineering and Management, 10(2), 14–32. https://doi.org/10.52783/jisem.v10i2.920
Viderman, D., Dossov, M., Seitenov, S., & Lee, M.-H. (2022). Artificial Intelligence in Ultrasound-Guided Regional Anesthesia: A Scoping Review. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.994805
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00448-3
Yan, W., Nakajima, T., & Sawada, R. (2024). Benefits and Challenges of Collaboration Between Students and Conversational Generative Artificial Intelligence in Programming Learning: An Empirical Case Study. Education Sciences, 14(4), 433. https://doi.org/10.3390/educsci14040433
Zhong, X. (2024). Exploring Teachers’ Role Changes in an Informationalized Teaching Environment. Journal of Education and Educational Research, 11(2), 81–87. https://doi.org/10.54097/td8kbp35
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Budi Tri Cahyono, Fatma Sukmawati, Eka Budhi Santosa, Relly Prihatin, Suparmi, Taufiq Subhanul Qodr
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Jurnal Teknologi Pendidikan is an Open Access Journal. The authors who publish the manuscript in Jurnal Teknologi Pendidikan agree to the following terms.
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
