Digital Teaching Reinvented: The Effectiveness of AI-Based and IFP-Based Interactive Media in Improving Teacher Competence
DOI:
https://doi.org/10.24256/pijies.v8i3.8675Keywords:
artificial intelligence, strategi pengembangan guru, digital transformation, interactive flat panel, learning media, teacher trainingAbstract
Digital transformation in education requires teachers to have competencies that are not only technically strong, but also adaptive and creative in utilizing smart technologies. This study aims to analyze the effectiveness of "Digital Teaching Reinvented" training that integrates the use of Artificial Intelligence (AI) and Interactive Flat Panel (IFP)-based media in improving teachers' digital competence. The research design used a one-group pre-post test involving 32 teachers who participated in intensive training based on direct practice and media co-creation. Data was collected through competency evaluation instruments covering three main domains: AI-based media competence, IFP media competency and attitudes, and overall digital competence. Data analysis was carried out using a paired sample t-test, Wilcoxon test, and effect size calculation. The results of the study showed a significant increase in all competency domains. AI-based media competence increased from an average of 43.81 to 63.56 (p < 0.001; d = 1.50), IFP media competence and attitudes increased from 110.00 to 173.44 (p < 0.001; d = 2.16), while total digital competence increased from 76.91 to 118.50 (p < 0.001; d = 2.03). This improvement confirms that training that combines AI media design and IFP operation is able to strengthen technical skills, pedagogical readiness, and teachers' attitudes towards learning technology. These findings also show that integrative training models can accelerate teachers' ability to design innovative, interactive, and student-centered learning. This research provides theoretical and practical contributions through empirical evidence that AI–IFP integration-based training can be an effective strategy to improve teachers' digital competencies in the era of smart learning. This training model is recommended as an approach that can be replicated in various educational contexts to strengthen teachers' readiness to face the challenges of sustainable digital transformation.
References
Alqahtani, M., Rajab, K., & Alharthey, B. (2023). Artificial intelligence tools in education: Enhancing teacher creativity and instructional design. Education and Information Technologies, 28(12), 13145–13168. https://doi.org/10.1007/s10639-023-11428-5
Amofa, B., et al. (2025). Generative AI in higher education: A systematic review. Education Sciences, 15(7), 826. https://doi.org/10.3390/educsci15070826
Badan Standar Kurikulum dan Asesmen Pendidikan (BSKAP). (2023). Laporan Kompetensi Guru dan Transformasi Digital Pembelajaran 2023. Kemendikbudristek. https://www.kemdikbud.go.id
Chien, Y.-H., et al. (2023). Using interactive flat panel display for STEM. LNCS 14016. https://doi.org/10.1007/978-3-031-35129-7_16
Deng, R., et al. (2025). Does ChatGPT enhance student learning? Computers & Education, 227, 105224. https://doi.org/10.1016/j.compedu.2024.105224
Dhameria, V., et al. (2025). Digital transformation in education management. IJEQQR, 4(1), 17–29. https://doi.org/10.58418/ijeqqr.v4i1.135
Dringó-Horváth, I., Zátonyi, I., & Tóth, Z. (2025). University teachers’ digital competence and AI literacy. Education Sciences, 15(7), 868. https://doi.org/10.3390/educsci15070868
Fatmawati, N. M., & Raharjo. (2024). AI-based learning videos. Golden Age Journal, 9(3). https://doi.org/10.14421/jga.2024.93-09
Galindo-Domínguez, H., Delgado, N., Campo, L., & Losada, D. (2024). Relationship between teachers’ digital competence and attitudes towards artificial intelligence in education. International Journal of Educational Research, 126, 102381. https://doi.org/10.1016/j.ijer.2024.102381
García-Morales, V. J., & Garrido-Moreno, A. (2022). Interactive digital media and student engagement: Examining technological acceptance and learning motivation. Computers in Human Behavior, 136, 107263. https://doi.org/10.1016/j.chb.2022.107263
Graham, C. R., et al. (2023). Digital learning transformation. Education Sciences, 13(11), 1143. https://doi.org/10.3390/educsci13111143
Harsono, A. M., Nurmahmudah, F., Putra, E. C. S., Rahman, A., Dewantara, B. A., Arsyad, M. Z. T., & Alfarisa, F. (2025). Beyond the lesson plan: Reflective practice as a catalyst for teacher professional growth. Private Social Sciences Journal , 5(11), 289–301. https://doi.org/10.55942/pssj.v5i11.698
Huang, X., et al. (2025). Digital transformation in higher education. Frontiers in Psychology, 16, 1565591. https://doi.org/10.3389/fpsyg.2025.1565591
Khalid, M., Ahmed, S., & Malik, R. (2024). Artificial intelligence–driven interactive learning environments and teacher self-efficacy: Evidence from developing countries. Education Sciences, 14(1), 38. https://doi.org/10.3390/educsci14010038
Khalil, H., & Alsenaidi, S. (2024). Teachers’ digital competencies for effective AI integration in higher education in Oman. Journal of Education and e-Learning Research, 11(4), 494–504. https://doi.org/10.20448/jeelr.v11i4.6097
Katadata Insight Center. (2023). Survei Literasi Digital Nasional 2023: Status Literasi Digital Masyarakat Indonesia. Katadata. https://katadata.co.id
Kementerian Komunikasi dan Informatika Republik Indonesia. (2023). Laporan Indeks Literasi Digital Indonesia 2023. Kominfo. https://www.kominfo.go.id
Kohnke, L., Zou, D., & Gu, M. (2025). Preparing future educators for AI-enhanced classrooms. Computers and Education: Artificial Intelligence, 8, 100398. https://doi.org/10.1016/j.caeai.2025.100398
Lee, D., Arnold, M., et al. (2024). The impact of generative AI on higher education. Computers and Education: Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221
Lucas, M., Zhang, Y., Bem-Haja, P., & Vicente, P. N. (2024). The interplay between teachers’ trust in artificial intelligence and digital competence. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12772-2
Mah, D.-K., & Groß, N. (2024). Artificial intelligence in higher education: Faculty use and PD needs. Int. J. Educational Technology in Higher Education. https://doi.org/10.1186/s41239-024-00490-1
Mah, D.-K., Knoth, N., & Egloffstein, M. (2025). Perspectives of academic staff on artificial intelligence. Frontiers in Education, 10, 1484904. https://doi.org/10.3389/feduc.2025.1484904
OECD. (2024). OECD Digital Education Outlook 2024: Teaching, Learning and Working in the Digital Age. OECD Publishing. https://doi.org/10.1787/19939019
Patta, N. M., et al. (2025). Dampak penggunaan panel interaktif. STRATEGY, 5(4). https://doi.org/10.51878/strategi.v5i4.7850
Rahman, A., Nurmahmudah, F., Putra, E. C. S., Harsono, A. M. B., Dewantara, B. A., Arsyad, M. Z. T., & Alfarisa, F. (2025). Artificial Intelligence (AI) as the Reflective Partner: Empowering Teachers for Deep Learning Pedagogy. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(3), 3877–3889. https://doi.org/10.31004/riggs.v4i3.2426
Riyadi, R., & Ningsih, T. (2024). IFP media in social science learning. Elementary School Education Journal, 8(3). https://doi.org/10.30651/else.v8i3.24401
Schwab, K., & Zahidi, S. (2023). The Future of Jobs Report 2023. World Economic Forum. https://www.weforum.org/reports
Sperling, K., et al. (2024). AI literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169
Tan, X., Cheng, G., & Ling, M. (2025). AI in teaching and professional development. Computers and Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355
UNESCO. (2023). Guidance for Generative AI in Education and Research. UNESCO Publishing. https://unesdoc.unesco.org
Zahro, I. Z., & Siswono, H. (2025). AR–AI-based media in early childhood ELT. JETI, 8(1). https://doi.org/10.31537/jeti.v8i1.2325
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