The Influence of Artificial Intelligence (AI) Utilization on Learning Motivation and Creativity of Students
DOI:
https://doi.org/10.59329/gawi.v6i1.280Keywords:
Artificial Intelligence, Study Motivation, CreativityAbstract
The development of AI in education has a significant impact on changing how students learn, think, and create, particularly in enhancing access to information and learning effectiveness. The purpose of this study is to analyze the influence of AI on the learning motivation and creativity of FKIP students at Universitas Lambung Mangkurat. This study employs a quantitative research method with a random sampling technique, involving 125 students enrolled in the Scientific Writing course. Data collection was conducted by distributing a Likert-scale questionnaire with 4 response options to measure the variables of AI, learning motivation, and student creativity. The data analysis technique utilizes the Structural Equation Model (SEM) to determine the influence of the AI variable on student learning motivation and creativity. The results indicate that the utilization of Artificial Intelligence (AI) has a positive and significant influence on student learning motivation. However, the utilization of AI does not have a direct significant influence on student creativity. Conversely, learning motivation is proven to have a positive and significant influence on creativity and acts as a mediating variable. In conclusion, the enhancement of student creativity is more effectively achieved through the increase of learning motivation facilitated by the utilization of AI. Therefore, it is recommended that educators integrate AI with active learning strategies, such as project-based and problem-based learning, and encourage students to use AI as a tool for exploring ideas rather than merely for task completion.
References
Aini, D. N. (2023). Visualisasi teks ke gambar dengan kekuatan AI art generator: potensi atau masalah? SELASAR 7, 7(1), 1–12.
Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence in the educational space. E3S Web of Conferences, 451, 6011. https://doi.org/10.1051/e3sconf/202345106011
Alfiatunnisa, E., Khairunnisa, H. Z., Hayati, S., & Maulida, V. L. (2022). Uji validitas dan reliabilitas terhadap kemandirian siswa sekolah dasar kelas 1. JURNAL HURRIAH: Jurnal Evaluasi Pendidikan dan Penelitian, 3(2), 29–36. https://doi.org/10.56806/jh.v3i2.81
Alhassn, I., Asiamah, N., Opuni, F. F., & Alhassan, A. (2022). The Likert scale: Exploring the unknowns and their potential to mislead the world. UDS International Journal of Development, 9(2), 867–880.
Alwiyah, A., Louangdy, T. T., & Yolandari, A. (2018). Relation of relationship between research theory and variable with management case study. Aptisi Transactions on Management, 2(1), 70–78. https://doi.org/10.33050/atm.v2i1.783
Chetry, K. K. (2024). Transforming education: How AI is revolutionizing the learning experience. International Journal of Research Publication and Reviews, 5(5), 6352–6356. https://doi.org/10.55248/gengpi.5.0524.1277
Ekolu, S. O., & Quainoo, H. (2019). Reliability of assessments in engineering education using Cronbach’s alpha, KR and split-half methods. Global Journal of Engineering Education, 21(1), 24–29.
Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
Hartung, T., & Kleinstreuer, N. (2025). Challenges and opportunities for validation of AI-based new approach methods. Altex, 42(1), 3–21. https://doi.org/10.14573/altex.2412291
Huang, J., & Mizumoto, A. (2024). Examining the effect of generative AI on students’ motivation and writing self-efficacy. Digital Applied Linguistics, 1, 1–20. https://doi.org/10.29140/dal.v1.102324
Ilham, N., Febrianti, A., Andreani, P., Sabrina, P., & Nabila, Z. (2025). Perancangan dan analisis penggunaan aplikasi ai pembantu tugas kuliah terhadap peningkatan efisiensi dan kreativitas mahasiswa. Journal ANC, 1(6), 1–11.
Indartini, M., & Mutmainah. (2024). Analisis data kuantitatif (uji instrumen, uji asumsi klasik, uji korelasi dan regresi linear berganda). Klaten: Penerbit Lakeisha.
Jailani, M. S. (2023). Teknik pengumpulan data dan instrumen penelitian ilmiah pendidikan pada pendekatan kualitatif dan kuantitatif. IHSAN: Jurnal Pendidikan Islam, 1(2), 1–9. https://doi.org/10.61104/ihsan.v1i2.57
Jauhiainen, J. S. (2024). The Metaverse: innovations and generative AI. International Journal of Innovation Studies, 8(3), 262–272. https://doi.org/10.1016/j.ijis.2024.04.004
Lai, C.-L. (2021). Exploring university students’ preferences for AI-assisted learning environment. Educational Technology & Society, 24(4), 1–15.
Liu, B. (2023). Arguments for the rise of artificial intelligence art: Does AI art have creativity, motivation, self-awareness and emotion? Arte, Individuo y Sociedad, 35(3), 811. https://doi.org/10.5209/aris.83808
Meiliza, Z., Meivawati, E., & Khatimah, H. (2025). Determinasi Keterampilan dan Motivasi Teknologi terhadap Kreativitas Mahasiswa PGSD dalam Mendesain Worksheet Joyful learning. Ideguru: Jurnal Karya Ilmiah Guru, 10(3), 2104–2113. https://doi.org/10.51169/ideguru.v10i3.2122
Murakami, Y., Sho, Y., & Inagaki, T. (2024). Improving motivation in learning AI for undergraduate students by case study. Journal of Information Processing, 32, 175–181. https://doi.org/10.2197/ipsjjip.32.175
Noor, S., Tajik, O., & Golzar, J. (2022). Simple random sampling. International Journal of Education & Language Studies, 1(2), 78–82. https://doi.org/10.22034/ijels.2022.162982
Puspita, A., Lukita, C., & Pranata, S. (2024). Analisis pengaruh harga, promosi, dan kualitas pelayanan terhadap kepuasan pelanggan pada pengguna transportasi online (studi pengguna grab di kota cirebon). ECo-Buss, 7(2), 1251–1264. https://doi.org/10.32877/eb.v7i2.1732
Rosiana, C., Cahyanti, T. W., & Rahayu, L. E. (2023). Artificial intelligence (ai) chatgpt meningkatkan motivasi mahasiswa pada pembelajaran morphosyntax. Jurnal Kiprah, 11(2), 98–105. https://doi.org/10.31629/kiprah.v11i2.6563
Sabrina, E., Syahputra, F., Lubis, A. Y., Fadilillah, D., Lubis, G. Z., Hia, R. N. S., Tanjung, R. A. U., Celina, S. E., & Ramadhan, W. S. (2025). ChatGPT dalam proses pembelajaran: dampaknya terhadap pemahaman dan kreativitas mahasiswa. MUDABBIR: Journal Research and Education Studies, 5(1), 587–598. https://doi.org/10.56832/mudabbir.v5i1.846
Saglam, Y. (2024). Which data gathering method is superior: An open-ended questionnaire or a semi-structured interview? International Journal on Studies in Education (IJonSE), 6(3). https://doi.org/10.46328/ijonse.220
Shubina, I., & Kulakli, A. (2019). Pervasive learning and technology usage for creativity development in education. International Journal of Emerging Technologies in Learning (Online), 14(1), 95.
Tarumasely, Y., Halamury, M., Sipahelut, Y., Labobar, W., & Tarumasely, D. (2026). Analisis dampak penggunaan teknologi kecerdasan buatan (ai) terhadap motivasi dan perilaku belajar mandiri mahasiswa iakn ambon. Journal of Instructional and Development Researches, 6(1), 11–19. https://doi.org/10.53621/jider.v6i1.628
Utami, D. S., Putri, S. A., Suriansyah, A., & Cinantya, C. (2024). Pentingnya motivasi dalam meningkatkan hasil belajar peserta didik sekolah dasar. MARAS: Jurnal Penelitian Multidisiplin, 2(4), 2071–2082. https://doi.org/10.60126/maras.v2i4.557
Wardhani, I. S., Indrawati, I., & Asyiah, I. N. A. I. N. (2025). AI (artificial intelligence)-enhanced digital literacy in science learning: A systematic literature review. Journal of Educational Sciences, 9(4), 1957–1970. https://doi.org/10.31258/jes.9.4.p.1957-1970
Wicaksana, N. Y. (2022). Implementasi model kesuksesan sistem informasi delone dan mclean pada svod platform (studi kasus: netflix). ITEJ (Information Technology Engineering Journals), 7(2), 109–122.
Xie, X., Teng, M. F., Zhang, L. J., & Alamer, A. (2025). Exploring ai literacy and ai‐induced emotions among chinese university english language teachers: The partial least square structural equation modeling (PLS‐SEM) approach. International Journal of Applied Linguistics, 35(4), 1897–1911. https://doi.org/10.1111/ijal.12798
Xu, M. (2025). Interaction between students and artificial intelligence in the context of creative potential development. Interactive Learning Environments, 33(7), 4460–4475. https://doi.org/10.1080/10494820.2025.2465439
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