MODEL INTEGRASI GENERATIVE AI DALAM INSTRUCTIONAL DESIGN UNTUK PEMBELAJARAN PERGURUAN TINGGI
DOI:
https://doi.org/10.54314/jssr.v9i4.7210Keywords:
Generative AI, AI-pedagogical competence, institutional support, quality of AI integration, learning design, instructional design, higher educationAbstract
Abstract: The integration of Generative AI into higher education instruction depends not only on technological availability but also on lecturers' AI-related pedagogical competence and institutional support in guiding its use within the instructional design process. This study aims to analyze the impact of lecturers' AI-pedagogical competence and institutional support on the quality of Generative AI integration and instructional design quality, while also examining the mediating role of Generative AI integration quality. A quantitative approach with an explanatory cross-sectional design was employed. Data were collected from 300 lecturers and analyzed in stages using IBM SPSS Statistics and SmartPLS 4. The research model comprises four reflective constructs—lecturers' AI-pedagogical competence, institutional support, Generative AI integration quality, and instructional design quality—measured via 60 indicators using a five-point Likert scale. The analysis encompassed assessments of data quality, common method bias, the measurement model, and the structural model, as well as examinations of direct and indirect effects via bootstrapping. The results indicate that AI-pedagogical competence positively influences both the quality of Generative AI integration and instructional design quality. Institutional support positively affects the quality of Generative AI integration but does not show a significant direct effect on instructional design quality. Generative AI integration quality positively influences instructional design quality. Furthermore, Generative AI integration quality mediates the relationship between AI-pedagogical competence, institutional support, and instructional design quality. These findings suggest that Generative AI should be understood not merely as a technology used in instruction, but as an integration mechanism linking lecturers' capabilities and institutional support to the quality of instructional design. The study offers implications for developing lecturers' AI-pedagogical competence and strengthening institutional support to ensure that Generative AI integration is carried out systematically, pedagogically, and responsibly.
Keywords: Generative AI; AI-pedagogical competence; institutional support; quality of AI integration; learning design; instructional design; higher education.
Abstrak: Integrasi Generative AI dalam pembelajaran perguruan tinggi tidak hanya bergantung pada ketersediaan teknologi, tetapi juga pada kompetensi pedagogis dosen dan dukungan institusi dalam mengarahkan penggunaannya ke dalam proses desain pembelajaran. Penelitian ini bertujuan menganalisis pengaruh kompetensi pedagogis-AI dosen dan dukungan institusi terhadap kualitas integrasi Generative AI serta kualitas desain pembelajaran, sekaligus menguji peran mediasi kualitas integrasi Generative AI. Penelitian menggunakan pendekatan kuantitatif dengan desain explanatory cross-sectional. Data diperoleh dari 300 dosen dan dianalisis secara bertahap menggunakan IBM SPSS Statistics dan SmartPLS 4. Model penelitian mencakup empat konstruk reflektif, yaitu kompetensi pedagogis-AI dosen, dukungan institusi, kualitas integrasi Generative AI, dan kualitas desain pembelajaran, yang diukur melalui 60 indikator dengan skala Likert lima poin. Analisis meliputi pengujian kualitas data, common method bias, model pengukuran, model struktural, pengaruh langsung, dan pengaruh tidak langsung melalui bootstrapping. Hasil penelitian menunjukkan bahwa kompetensi pedagogis-AI berpengaruh positif terhadap kualitas integrasi Generative AI dan kualitas desain pembelajaran. Dukungan institusi berpengaruh positif terhadap kualitas integrasi Generative AI, tetapi tidak menunjukkan pengaruh langsung yang signifikan terhadap kualitas desain pembelajaran. Kualitas integrasi Generative AI berpengaruh positif terhadap kualitas desain pembelajaran. Selain itu, kualitas integrasi Generative AI memediasi hubungan kompetensi pedagogis-AI dan dukungan institusi dengan kualitas desain pembelajaran. Temuan ini menunjukkan bahwa Generative AI tidak cukup dipahami sebagai teknologi yang digunakan dalam pembelajaran, tetapi sebagai mekanisme integrasi yang menghubungkan kapasitas dosen dan dukungan institusi dengan kualitas instructional design. Penelitian ini memberikan implikasi bagi pengembangan kompetensi pedagogis-AI dosen dan penguatan dukungan institusional agar integrasi Generative AI dapat dilakukan secara sistematis, pedagogis, dan bertanggung jawab.
Kata kunci: Generative AI; kompetensi pedagogis-AI; dukungan institusi; kualitas integrasi AI; desain pembelajaran; instructional design; pendidikan tinggi.
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References
Bacalso, F. D., Villamor, F. E., Paclipan, C. P., Orquia, C. J. B., Rendon, I. P., Albiso, A. T., & Himang, C. M. (2026). Institutional approaches to generative AI management in higher education: a systematic review. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1814426
Baig, M. I., & Yadegaridehkordi, E. (2024). ChatGPT in the higher education: A systematic literature review and research challenges. International Journal of Educational Research, 127, 102411. https://doi.org/10.1016/j.ijer.2024.102411
Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022). A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review, 37, 100489. https://doi.org/10.1016/j.edurev.2022.100489
Belkina, M., Daniel, S., Nikolic, S., Haque, R., Lyden, S., Neal, P., Grundy, S., & Hassan, G. M. (2025). Implementing generative AI (GenAI) in higher education: A systematic review of case studies. Computers and Education: Artificial Intelligence, 8, 100407. https://doi.org/10.1016/j.caeai.2025.100407
Bhullar, P. S., Joshi, M., & Chugh, R. (2024). ChatGPT in higher education - a synthesis of the literature and a future research agenda. Education and Information Technologies, 29(16), 21501–21522. https://doi.org/10.1007/s10639-024-12723-x
Børte, K., Lillejord, S., Chan, J., Wasson, B., & Greiff, S. (2023). Prerequisites for teachers’ technology use in formative assessment practices: A systematic review. Educational Research Review, 41, 100568. https://doi.org/10.1016/j.edurev.2023.100568
Celik, I., 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
Chan, N. N., Bailey, R. P., Tan, M. H. J., Dipolog, G. F., Tan, G. W. H., Motevalli, S., Samsudin, N., & Ang, C. S. (2025). Generative artificial intelligence in a VUCA world: the ‘Lived Experiences’ of Southeast Asian teachers’ use of AI in higher education. International Journal of Educational Research, 133, 102733. https://doi.org/10.1016/j.ijer.2025.102733
Chiu, T. K. F., Ahmad, Z., & Çoban, M. (2025). Development and validation of teacher artificial intelligence (AI) competence self-efficacy (TAICS) scale. Education and Information Technologies, 30(5), 6667–6685. https://doi.org/10.1007/s10639-024-13094-z
Choi, G. W., Kim, S. H., Lee, D., & Moon, J. (2024). Utilizing Generative AI for Instructional Design: Exploring Strengths, Weaknesses, Opportunities, and Threats. TechTrends, 68(4), 832–844. https://doi.org/10.1007/s11528-024-00967-w
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 22. https://doi.org/10.1186/s41239-023-00392-8
Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967
de Putter-Smits, L. G. A., Pols, C. F. J., Dekkers, P. J. J. M., Runhaar, P. R., Timmer, M., & Van der Veen, J. T. (2025). Exploring the role of generative AI in science teacher education programs: a qualitative study. International Journal of Educational Research Open, 9, 100492. https://doi.org/10.1016/j.ijedro.2025.100492
Delcker, J., Heil, J., & Ifenthaler, D. (2025). Evidence-based development of an instrument for the assessment of teachers’ self-perceptions of their artificial intelligence competence. Educational Technology Research and Development, 73(1), 115–133. https://doi.org/10.1007/s11423-024-10418-1
García-López, I. M., González González, C. S., Ramírez-Montoya, M.-S., & Molina-Espinosa, J.-M. (2025). Challenges of implementing ChatGPT on education: Systematic literature review. International Journal of Educational Research Open, 8, 100401. https://doi.org/10.1016/j.ijedro.2024.100401
Hava, K., & Babayiğit, Ö. (2025). Exploring the relationship between teachers’ competencies in AI-TPACK and digital proficiency. Education and Information Technologies, 30(3), 3491–3508. https://doi.org/10.1007/s10639-024-12939-x
Hawi, N. S., & Samaha, M. (2026). Generative AI in higher education: A systematic review of empirical uses, outcomes, and risks. International Journal of Educational Research Open, 11, 100584. https://doi.org/10.1016/j.ijedro.2026.100584
Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221
Li, C., Cui, H., & Hagedorn, L. S. (2026). The cognitive impact of ChatGPT in higher education: A systematic review of critical and creative thinking outcomes. Computers and Education: Artificial Intelligence, 10, 100571. https://doi.org/10.1016/j.caeai.2026.100571
Lyu, W., Zhang, S., Chung, T., Sun, Y., & Zhang, Y. (2025). Understanding the practices, perceptions, and (dis)trust of generative AI among instructors: A mixed-methods study in the U.S. higher education. Computers and Education: Artificial Intelligence, 8, 100383. https://doi.org/10.1016/j.caeai.2025.100383
McGrath, C., Farazouli, A., & Cerratto-Pargman, T. (2025). Generative AI chatbots in higher education: a review of an emerging research area. Higher Education, 89(6), 1533–1549. https://doi.org/10.1007/s10734-024-01288-w
Mikeladze, T., Meijer, P. C., & Verhoeff, R. P. (2024). A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review. European Journal of Education, 59(3). https://doi.org/10.1111/ejed.12663
Moganadas, S. R., Marín-González, F., Nun, S. H., & Gan, C. L. (2026). Generative AI as a didactic-pedagogical mediator: rethinking human roles and pedagogical design in higher education. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1856839
Mohebi, L., & ElSayary, A. (2026). From proficiency to pedagogy: A mixed-methods study of in-service teachers’ TPACK-GenAI and the mediating role of pedagogical knowledge. Computers and Education: Artificial Intelligence, 10, 100599. https://doi.org/10.1016/j.caeai.2026.100599
Qian, Y. (2025). Pedagogical Applications of Generative AI in Higher Education: A Systematic Review of the Field. TechTrends, 69(5), 1105–1120. https://doi.org/10.1007/s11528-025-01100-1
Shi, L. (2025). Assessing teachers’ generative artificial intelligence competencies: instrument development and validation. Education and Information Technologies, 30(16), 23365–23384. https://doi.org/10.1007/s10639-025-13684-5
Simatupang, E. C., Ismail, I., Waluyo, B., & Panmei, B. (2025). ChatGPT in Education: The Influence of Institutional Support and Peer Dynamics in Indonesian Higher Education. Internet Reference Services Quarterly, 29(2), 225–244. https://doi.org/10.1080/10875301.2025.2461476
Tan, X., Cheng, G., & Ling, M. H. (2025a). Enhancing teachers’ AI competency: A professional development intervention study based on intelligent-TPACK framework. Computers and Education: Artificial Intelligence, 9, 100521. https://doi.org/10.1016/j.caeai.2025.100521
Tan, X., Cheng, G., & Ling, M. H. (2025b). Investigating the mediating role of TPACK on teachers’ AI competency and their teaching performance in higher education. Computers and Education: Artificial Intelligence, 9, 100461. https://doi.org/10.1016/j.caeai.2025.100461
Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2024). Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers’ understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29(4), 4085–4105. https://doi.org/10.1007/s10639-023-11990-4
Wang, H., Dang, A., Wu, Z., & Mac, S. (2024). Generative AI in higher education: Seeing ChatGPT through universities’ policies, resources, and guidelines. Computers and Education: Artificial Intelligence, 7, 100326. https://doi.org/10.1016/j.caeai.2024.100326
Wang, P., Jing, Y., & Shen, S. (2025). A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies. The Internet and Higher Education, 65, 100996. https://doi.org/10.1016/j.iheduc.2025.100996
Wu, C., & Carroll, J. M. (2026). Evolving Perspectives on Generative AI in Higher Education: Insights from Two Years of University Stakeholder Analysis. TechTrends, 70(2), 346–363. https://doi.org/10.1007/s11528-025-01150-5
Yang, Y., Xia, Q., Liu, C., & Chiu, T. K. F. (2025). The impact of TPACK on teachers’ willingness to integrate generative artificial intelligence (GenAI): The moderating role of negative emotions and the buffering effects of need satisfaction. Teaching and Teacher Education, 154, 104877. https://doi.org/10.1016/j.tate.2024.104877
Yau, K. W., Dong, T., Chai, C. S., Chiu, T. K. F., Meng, H., King, I., Wong, S. W. H., & Yam, Y. (2025). Epistemic network analysis of in-service teachers’ competency to teach artificial intelligence for secondary education. Computers and Education: Artificial Intelligence, 9, 100520. https://doi.org/10.1016/j.caeai.2025.100520
Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Al Hafizh, Muhd., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2024). AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory. Computers and Education: Artificial Intelligence, 7, 100335. https://doi.org/10.1016/j.caeai.2024.100335
Zhang, J., Wang, C., & Liu, M. (2026). Generative AI use profiles and academic outcomes in higher education: the role of institutional support. Interactive Learning Environments, 1–19. https://doi.org/10.1080/10494820.2026.2668610
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Copyright (c) 2026 Ahmad Tohir, Agnes Fibriana Kurniawati, Parwito Parwito, Agus Riyanto (Author)
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