AI-BASED TRAINING TO ENHANCE TEACHERS' BEHAVIORAL INTENTIONS AND WILLINGNESS TO UTILIZE AI TECHNOLOGY IN CLASSROOM LEARNING
DOI:
https://doi.org/10.22460/empowerment.v14i1.5358Keywords:
Artificial Intelligence (AI), Teacher Training Program, Educational Technology, Teacher IntentionAbstract
The technological transformation in educational media has driven significant changes in teaching and learning processes, particularly highlighted by the COVID-19 pandemic, which underscored the importance of adopting Artificial Intelligence (AI) as an assistive tool in developing more effective online learning materials. This community service program was conducted in collaboration with SMAN 3 Padang Panjang, involving 22 teachers from grades X to XII as participants. The program was designed in three main phases: (1) preparation and field observation, (2) field implementation, and (3) evaluation. Evaluation results indicate that teachers demonstrate high behavioral intention and willingness to use AI in their teaching practices. The average scores on the behavioral intention aspect suggest that teachers are inclined to recommend and intend to use AI in the future, while on the willingness-to-use aspect, teachers are willing to dedicate time to learning and overcoming challenges related to AI usage. These findings suggest that AI-based training is effective in enhancing teachers' readiness and commitment to integrating technology into the teaching process, thereby potentially strengthening educational quality in the digital era
References
Astutik, Y., Agustina, S., Megawati, F., & Anggraini, R. (2023). Increasing English teachers’ innovation through training on teaching modules development with digital technology integration. Journal of Community Service and Empowerment, 4(3). https://doi.org/10.22219/jcse.v4i3.27579
Babl, F. E., & Babl, M. P. (2023). Generative artificial intelligence: Can ChatGPT write a quality abstract? EMA - Emergency Medicine Australasia, 35(5). https://doi.org/10.1111/1742-6723.14233
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. In Computers and Education: Artificial Intelligence (Vol. 4). https://doi.org/10.1016/j.caeai.2022.100118
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3). https://doi.org/10.1007/s10956-023-10039-y
Ellström, D., Holtström, J., Berg, E., & Josefsson, C. (2022). Dynamic capabilities for digital transformation. Journal of Strategy and Management, 15(2). https://doi.org/10.1108/JSMA-04-2021-0089
Feliciano-Cestero, M. M., Ameen, N., Kotabe, M., Paul, J., & Signoret, M. (2023). Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization. Journal of Business Research, 157. https://doi.org/10.1016/j.jbusres.2022.113546
García-Peñalvo, F. J., Llorens-Largo, F., & Vidal, J. (2024). The new reality of education in the face of advances in generative artificial intelligence. RIED-Revista Iberoamericana de Educacion a Distancia, 27(1). https://doi.org/10.5944/ried.27.1.37716
Islam, M. F., Awal, Md. R., & Zaman, R. (2022). The Concurrent Journey of Sustainable Development Goals (SDGs) and Fourth Industrial Revolution (4IR): Paradoxical or Parallel? SDMIMD Journal of Management, 13(1). https://doi.org/10.18311/sdmimd/2022/29193
Jayadi, H. (2023). The Use of Artificial Intelligence in the Development of Indonesian Civil Procedure Law as a Legal Futuristic Study. International Journal of Law and Politics Studies, 5(5). https://doi.org/10.32996/ijlps.2023.5.5.1
Kelly, A., Sullivan, M., & Strampel, K. (2023). Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. Journal of University Teaching and Learning Practice, 20(6). https://doi.org/10.53761/1.20.6.12
Lameras, P., & Arnab, S. (2022). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information (Switzerland), 13(1). https://doi.org/10.3390/info13010014
Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1). https://doi.org/10.14742/ajet.8695
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100020
Ramli, T. S., Ramli, A. M., Mayana, R. F., Ramadayanti, E., & Fauzi, R. (2023). Artificial intelligence as object of intellectual property in Indonesian law. Journal of World Intellectual Property, 26(2). https://doi.org/10.1111/jwip.12264
Ranuharja, F., Indrayeni, W., Samala, A. D., Hasim, A., & Larashati, C. (2023). Improving marketing skills through logo design training for the local business community. Journal of Community Service and Empowerment, 4(1), 78–83. https://doi.org/10.22219/jcse.v4i1.24059
Ranuharja, F., Toukoumidis, A. T., Oluwaseyi, J., Lofandri, W., Samala, A. D., & Riyanda, A. R. (2024). Investigating the impact of mobile interaction gamification on 4C skills: Perspective from student at vocational higher education in Indonesia. Advances in Mobile Learning Educational Research, 4(2), 1082–1092. https://doi.org/10.25082/amler.2024.02.003
Rusydiana, A. S. (2024). Alternative Waqf Model for SDG-4 (Quality Education). The Economic Review of Pesantren, 2(2). https://doi.org/10.58968/erp.v2i2.370
Sabry, F., Labda, W., Erbad, A., & Malluhi, Q. (2020). Cryptocurrencies and artificial intelligence: Challenges and opportunities. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.3025211
Saghiri, A. M., Vahidipour, S. M., Jabbarpour, M. R., Sookhak, M., & Forestiero, A. (2022). A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions. In Applied Sciences (Switzerland) (Vol. 12, Issue 8). https://doi.org/10.3390/app12084054
Samala, A. D., Ganefri, G., Yulastri, A., Indarta, Y., Ranuharja, F., & Dewi, I. P. (2022). Entrepreneurial Intentions for Engineering Students: Does Entrepreneurship Education and Family Environment Matter? Journal of Innovation in Educational and Cultural Research, 3(4), 590–606. https://doi.org/10.46843/jiecr.v3i4.300
Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. In Frontiers in Education (Vol. 8). https://doi.org/10.3389/feduc.2023.1183162
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Empowerment : Jurnal Ilmiah Program Studi Pendidikan Luar Sekolah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The author is responsible for acquiring the permission(s) to reproduce any copyrighted figures, tables, data, or text that are being used in the submitted paper. Authors should note that text quotations of more than 250 words from a published or copyrighted work will require grant of permission from the original publisher to reprint. The written permission letter(s) must be submitted together with the manuscript.
The copyright of the accepted article shall be assigned to the journal as the publisher of the journal. The intended copyright includes the right to publish the article in various forms (including reprints). The journal maintains the publishing rights to the published articles.
