Student Perceptions of AI-Generated Videos in online learning
Keywords:
AI-generated video, online learning, student perceptions, learning engagementAbstract
Penelitian ini menggunakan pendekatan campuran untuk menginvestigasi persepsi mahasiswa sarjana di Indonesia terhadap video yang dihasilkan AI dalam pembelajaran daring. Didorong oleh integrasi AI yang cepat dalam pendidikan dan adanya celah penelitian, studi ini bertujuan untuk memahami secara komprehensif perspektif mahasiswa tentang pembelajaran video berbasis AI. Data dikumpulkan dari 100 responden survei kuantitatif dan 15 informan wawancara kualitatif, menggunakan kuesioner skala Likert terstruktur (menilai engagement, tantangan, dan kegunaan) serta panduan wawancara semi-terstruktur. Temuan menunjukkan persepsi yang sangat positif terkait tingkat engagement (Mean=4.32) dan kualitas visual (Mean=4.15) video yang dihasilkan AI, sejalan dengan prinsip pembelajaran multimedia yang menekankan desain visual efektif. Namun, area yang memerlukan perhatian signifikan meliputi kemudahan navigasi (Mean=3.98) dan, khususnya, kecepatan narasi (Mean=3.12). Wawasan kualitatif mengkonfirmasi nilai personalisasi, visualisasi, dan fleksibilitas, namun menyoroti tantangan seperti kualitas audio, interaktivitas rendah, dan kelelahan kognitif akibat penyampaian monoton. Mahasiswa mengungkapkan harapan kuat terhadap fitur adaptif, penilaian tersemat, dan dukungan multimodal yang kuat. Penelitian menyimpulkan bahwa meskipun video AI memiliki potensi transformatif besar, keberhasilan integrasinya bergantung pada prioritas desain pedagogis yang berpusat pada mahasiswa, berfokus pada penyampaian konten adaptif, interaktivitas yang ditingkatkan, dan pengalaman pengguna yang lebih baik untuk memaksimalkan hasil belajar.
This mixed-methods study investigates Indonesian undergraduate students' perceptions of AI-generated videos in online learning. Driven by the rapid integration of AI in education and a recognized research gap, the study aims to comprehensively understand student perspectives on AI-video learning. Data was collected from 100 quantitative survey respondents and 15 qualitative interview informants, utilizing a structured Likert scale questionnaire (assessing engagement, challenges, and usability) and a semi-structured interview guide. Findings reveal overwhelmingly positive perceptions regarding student engagement (Mean=4.32) and visual quality (Mean=4.15) of AI-generated videos, aligning with multimedia learning principles that emphasize effective visual design. However, areas requiring significant attention include ease of navigation (Mean=3.98) and, particularly, narration speed (Mean=3.12). Qualitative insights confirm the value of personalization, visualization, and flexibility, but highlight challenges such as audio quality, low interactivity, and cognitive fatigue from monotonous delivery. Students express strong desires for adaptive features, embedded assessments, and robust multimodal support. The research concludes that while AI-generated videos hold immense transformative potential, their successful integration hinges on prioritizing student-centered pedagogical design, focusing on adaptive content delivery, enhanced interactivity, and improved user experience to truly maximize learning outcomes.
References
Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence in the educational space. E3S Web of Conferences, 451, 06011. https://doi.org/10.1051/e3sconf/202345106011
Almalhy, K. M. (2022). Effect of video tutorial delivery method on D/HH students’ content comprehension. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.872946
Arora, S., Tiwari, S., Negi, N., Pargaien, S., & Misra, A. (2023a). The Role of Artificial Intelligence in Mentoring Students. 2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS), 1–6. https://doi.org/10.1109/CCPIS59145.2023.10291479
Arora, S., Tiwari, S., Negi, N., Pargaien, S., & Misra, A. (2023b). The Role of Artificial Intelligence in Mentoring Students. 2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS), 1–6. https://doi.org/10.1109/CCPIS59145.2023.10291479
Ary, D., Jacob, L. C., Razavieh, A., & Sorensen, C. K. (n.d.). Introduction to Research in Education.
Aswan, D. (2022). Pengukuran E-Learning Readiness Sebagai Upaya Penerapan Pembelajaran Abad 21 di Prodi Teknologi Teknologi Pendidikan. Jurnal Ilmiah Wahana Pendidikan, 8(23), 802–809. https://doi.org/10.5281/ZENODO.7871365
Aswan, D. (2024a). Analisis Kebutuhan Pengembangan Buku Interaktif Berbasis Augmented Reality (AR) untuk Meningkatkan Minat Baca Anak-Anak. Jurnal Ilmiah Wahana Pendidikan, 10(10), 916–922. https://doi.org/10.5281/ZENODO.11541481
Aswan, D. (2024b). Analisis Kebutuhan Video Tutorial untuk mahasiswa pada Mata Kuliah Media Foto. Jurnal Ilmiah Wahana Pendidikan, 10(10), 905–910. https://doi.org/10.5281/ZENODO.11541221
Aswan, D. (2024c). Analisis Perancangan Pembelajaran Dalam Pelatihan Keterampilan Pembuatan Sovenir Bagi Karang Taruna. Jurnal Ilmiah Wahana Pendidikan, 10(10), 911–915.
Baker, R. S. (2016). Stupid Tutoring Systems, Intelligent Humans. International Journal of Artificial Intelligence in Education, 26(2). https://doi.org/10.1007/s40593-016-0105-0
Bervell, B., Umar, I. N., Masood, M., Kumar, J. A., Armah, J. K., & Somuah, B. A. (2022). Promoting Voluntary Use Behavior of Learning Management Systems Among Tutors for Blended Learning in Distance Higher Education. Contemporary Educational Technology, 14(4). https://doi.org/10.30935/cedtech/12193
Bradáč, V., & Kostolányová, K. (2017). Intelligent Tutoring Systems. Journal of Intelligent Systems, 26(4). https://doi.org/10.1515/jisys-2015-0144
Bravo, E., Amante, B., Simo, P., Enache, M., & Fernandez, V. (2011). Video as a new teaching tool to increase student motivation. 2011 IEEE Global Engineering Education Conference, EDUCON 2011, May 2014, 638–642. https://doi.org/10.1109/EDUCON.2011.5773205
Brega, O. N., & Kruglyakova, G. V. (2021). Video podcast technology for distant ESP teaching in team work. Perspektivy Nauki i Obrazovania, 50(2). https://doi.org/10.32744/PSE.2021.2.32
Carin, L. (2020). On Artificial Intelligence and Deep Learning Within Medical Education. In Academic Medicine (Vol. 95, Issue 11). https://doi.org/10.1097/ACM.0000000000003630
Cervantes López, M. J., Cruz Casados, J., & Gil Herrera, R. de J. (2025). Empowering Cognitive Skills of Children with ASD Throughout an Intelligent Virtual-Tutor: State of the Art (pp. 137–153). https://doi.org/10.1007/978-981-97-9255-9_10
Creswell, J. W., & Creswell, J. D. (n.d.). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches.
Dangi, R. R., Sharma, A., & Vageriya, V. (2025). Transforming Healthcare in Low‐Resource Settings With Artificial Intelligence: Recent Developments and Outcomes. Public Health Nursing, 42(2), 1017–1030. https://doi.org/10.1111/phn.13500
Ekayana, A. A. G. (2023). Development of Microlearning-Oriented Explainer Videos on Robotics Learning in Higher Education. Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara, 15(1). https://doi.org/10.37640/jip.v15i1.1788
Fauziyati, W. R. (2023). Dampak Penggunaan Artificial Intelligence (AI) dalam Pembelajaran Pendidikan Agama Islam. Jurnal Review Pendidikan Dan Pengajaran, 6(4).
Hadriani, N. (2021). Implementation Flipped Classroom Based Video for Improving Interest Learning of Physics. Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton, 7(1). https://doi.org/10.35326/pencerah.v7i1.771
Hariyati, N. R. (2019). Modul Mata Kuliah Metodologi Penelitian. Akademi Farmasi Surabaya.
Hariyono, & Yuswatiningsih, E. (2019). Modul Pembelajaran Metodologi Penelitian. Icme Press.
Iankova, V., Respondek, G., Saranza, G., Painous, C., Cámara, A., Compta, Y., Aiba, I., Balint, B., Giagkou, N., Josephs, K. A., Otsuki, M., Golbe, L. I., Bhatia, K. P., Stamelou, M., Lang, A. E., & Höglinger, G. U. (2020). Video-tutorial for the Movement Disorder Society criteria for progressive supranuclear palsy. Parkinsonism and Related Disorders, 78. https://doi.org/10.1016/j.parkreldis.2020.06.030
Karmakar, S., & Das, T. (2024). Effect of artificial intelligence on education. In Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making (pp. 198–211). CRC Press. https://doi.org/10.1201/9781003536796-8
Kuncoro, I. A., & Hidayati, Y. M. (2021). Learning Videos Increase Students’ Cognitive Learning Outcomes on Animal Life Cycle Materials. Jurnal Ilmiah Sekolah Dasar, 5(2), 299. https://doi.org/10.23887/jisd.v5i2.34107
Liu, C., & Elms, P. (2019). Animating student engagement: The impacts of cartoon instructional videos on learning experience. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2124
Marín Rodriguez, W. J., Andrade Girón, D. C., Zúñiga Rojas, Z. R., Susanibar Ramirez, E. T., Calvo Rivera, I. P., Ausejo Sanchez, J. L., & Caro Soto, F. G. (2023). Artificial Intelligence and Augmented Reality in Higher Education: a systematic review. Data and Metadata, 2, 121. https://doi.org/10.56294/dm2023121
Maurya, M., Gangadhar Puranik, V., Senthil Kumar, A., & Subramanian, B. (2023). 1 Introduction to artificial intelligence. In Toward Artificial General Intelligence (pp. 1–20). De Gruyter. https://doi.org/10.1515/9783111323749-001
Moin, S. M. A., Hosany, S., & O’Brien, J. (2020). Storytelling in destination brands’ promotional videos. Tourism Management Perspectives, 34. https://doi.org/10.1016/j.tmp.2020.100639
Mokhtar, N. H., & Othman, Z. (2022). Communicative Skills Through Corporate Storytelling Video: Students’ Perception. Journal of Language Teaching and Research, 13(2). https://doi.org/10.17507/jltr.1302.04
Noya, A., Oguro, M., & Horiuchi, S. (2022). Professional learning using storytelling videos of childbirth experiences: A qualitative pilot study of student midwives’ perceptions in Myanmar. Japan Journal of Nursing Science, 19(2). https://doi.org/10.1111/jjns.12456
Qin, Y., Huang, T., & Tang, G. (2022). Analysis of the Effect of Video-Guided Dance Creation for Young Children. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1110698
Queiroz, D. C. de, Nascimento, J. L. G. do, Nunes, P. H. de O., Gomes, A. M. P., Souza, J. T. de, & Oliveira, I. N. de. (2024). Artificial Intelligence in Education: An Overview of Distance Education Courses. Revista de Gestão Social e Ambiental, 18(5), e08125. https://doi.org/10.24857/rgsa.v18n5-169
Rifqi Putra Adhadi, Muhammad Rizky Efendi, Raka Muzakki, Hafizh Rizki Pratama Yudiansyah, Bintang Panjaitan, & Rifqi Al-Muzaky. (2024). Sosialisasi Peran Artificial Intelligence Terhadap Proses Pembelajaran Mahasiswa Di Universitas Pelita Bangsa. Kreativasi : Journal of Community Empowerment, 3(1), 47–58. https://doi.org/10.33369/kreativasi.v3i1.34100
Román-Sánchez, D., De-La-Fuente-Rodríguez, J. M., Paramio, A., Paramio-Cuevas, J. C., Lepiani-Díaz, I., & López-Millan, M. R. (2023). Evaluating satisfaction with teaching innovation, its relationship to academic performance and the application of a video-based microlearning. Nursing Open, 10(9). https://doi.org/10.1002/nop2.1828
Seo, K., Dodson, S., Harandi, N. M., Roberson, N., Fels, S., & Roll, I. (2021). Active learning with online video: The impact of learning context on engagement. Computers and Education, 165. https://doi.org/10.1016/j.compedu.2021.104132
Shah, F., Evens, M., Michael, J., & Rovick, A. (2002). Classifying Student Initiatives and Tutor Responses in Human Keyboard-to-Keyboard Tutoring Sessions. Discourse Processes, 33(1), 23–52. https://doi.org/10.1207/S15326950DP3301_02
Silliman, M., Alber, J. M., Gib, S., Gee, M., Conover, S., Chan, C., Cohen, C., Freeland, C., & Racho, R. (2022). Comparing lengths and inclusion of information in storytelling videos: Implications for Hepatitis B education. PEC Innovation, 1. https://doi.org/10.1016/j.pecinn.2022.100049
Siregar, E., & Aswan, D. (2019). Development of Blended Learning for Optimization Courses in Education Technology Master Program. International Conference on Education Technology, 372, 235–241.
Siregar, E., Chaeruman, U. A., & Aswan, D. (2024). Development online course “foundation of educational technology” with a project-based learning approach. AIP Conference Proceedings, 3116(1). https://doi.org/10.1063/5.0210403/3294826
Surugiu, C., Gradinaru, C., & Surugiu, M.-R. (2024). Artificial Intelligence in Business Education: Benefits and Tools. Amfiteatru Economic, 26(65), 241. https://doi.org/10.24818/EA/2024/65/241
Yanjin, S., Qian, L., Kun, Z., & Ruirui, Z. (2023). The Application of Artificial Intelligence Technology in Personalized Teaching of Vocational Education. 2023 13th International Conference on Information Technology in Medicine and Education (ITME), 846–850. https://doi.org/10.1109/ITME60234.2023.00172
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Please download and complete the Form, Copyright Transfer, and Ethics Statement Form. The following is provided at the time of submitting the text (Upload Additional Files):
