Hubungan Frekuensi Penggunaan Artificial Intelligence Berbasis ChatBot terhadap Prestasi Akademik Mahasiswa PGSD

Abyan Mahesa Kakananta, Matsuri Matsuri, Septi Yulisetiani

Abstract

The development of Artificial Intelligence (AI) has introduced various innovations to the field of education, notably through chatbot-based technologies such as ChatGPT and Google Gemini. University students are increasingly utilizing AI chatbots to access information, comprehend course material, locate references, and assist with academic assignments. However, the relationship between the frequency of AI chatbot usage and students' academic achievement remains under-researched, particularly among students in education-related degree programs. This study aims to examine the relationship between the frequency of AI chatbot usage and the academic achievement of students in the Primary School Teacher Education (PGSD) program at Universitas Sebelas Maret Surakarta (Class of 2023). A quantitative approach utilizing a correlational method was employed. The sample consisted of 133 students selected via purposive sampling. Data were collected through a questionnaire regarding AI chatbot usage frequency and documentation of Semester Grade Point Averages (IPS). Data analysis was conducted using the Spearman Rank correlation test, as one of the research variables did not follow a normal distribution. The results indicate a positive and significant relationship between the frequency of AI chatbot usage and students' academic achievement (ρ = 0.239; p = 0.006); however, the strength of this relationship falls into the "weak" category. These findings suggest that while AI chatbots can serve as a tool to support learning, they are not the sole factor associated with students' academic achievement.

Keywords

Artificial Intelligence; Chatbot; ChatGPT; Gemini; Academic Achievement.

References

Abdurrahman, A. R., Rizki, M. B., & Pradana, R. B. (2025). Pengaruh Penggunaan AI Terhadap Kompetensi dan Motivasi Belajar Mahasiswa. JATI (Jurnal Mahasiswa Teknik Informatika), 9(1), 201–210. https://doi.org/10.36040/jati.v9i1.12205

Adewale, M. D., Azeta, A., Abayomi-Alli, A., & Sambo-Magaji, A. (2024). Impact of Artificial Intelligence adoption on students’ performa akademik in open and distance learning: A systematic literature review. Heliyon, 10(22), 1–19.

Adi, F. P., Ragil, I., Atmojo, W., & Saputri, D. Y. (2023). Analysis of Students ’ Sports Talent : The Correlation between Achievement Motivation and Self-efficacy of Elementary School Students. 10(2), 294–309. https://doi.org/10.53400/mimbar-sd.v10i2.60992

Al-Amin, M., Ali, M. S., Salam, A., Khan, A., Ali, A., Ullah, A., Alam, M. N., & Chowdhury, S. K. (2024). History of generative artificial intelligence (AI) chatbots: Past, present, and future development. arXiv. https://arxiv.org/abs/2402.05122

Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745

Chen, L., & Chen, P. (2020). Artificial Intelligence in Education : A Review. IEEE Access, 8, 75264–75278.

Hasan, M. R., Chowdhury, N. I., Rahman, M. H., Syed, M. A. B., & Ryu, J. (2023). Analysis of the user perception of chatbots in education using a partial least squares structural equation modeling approach. arXiv. https://arxiv.org/abs/2311.03636

Hou, I., Nguyen, H. V., Man, O., & MacNeil, S. (2024). The evolving usage of GenAI by computing students. arXiv. https://arxiv.org/abs/2412.16453

Imran, M., & Almusharraf, N. (2024). Google Gemini as a next generation AI educational tool : a review of emerging educational technology. Smart Learning Environments. https://doi.org/10.1186/s40561-024-00310-z

Irfanuddin, M., Karsono, K., & Rawanoko, E. S. (2026). Ethical and Digital Literacy Challenges in the Utilization of Artificial Intelligence in Pancasila Education: A Systematic Literature Review. Social, Humanities, and Educational Studies (SHES): Conference Series, 9(1), 894–903. DOI: 10.20961/shes.v9i1.117957.

Kristyowening, D., Atmojo, I. R. W., & Matsuri, M. (2025). Effectiveness of STEM-Based Differentiated Learning in Enhancing Elementary Students' Critical Thinking Skills. International Journal of Pedagogy and Teacher Education, 9(2), 339–349. DOI: 10.20961/ijpte.v9i2.100389.

Nurjanah, E. I., Matsuri, M., & Ardiansyah, R. (2021). Studi hubungan self-efficacyterhadap hasil belajar kognitif pada mahasiswa PGSD Surakarta UNS. Didaktika Dwija Indria, 11(3), 19–24. https://doi.org/10.20961/ddi.v11i3.76956

Mijwil, M. M., Hiran, K. K., Doshi, R., Dadhich, M., & Bala, I. (2023). ChatGPT and the Future of Academic Integrity in the Artificial Intelligence Era : A New Frontier. 116–127. https://doi.org/10.15379/ijmst.v10i1.3214.

Pamuti, P., Abdy, I., Rahmadani, A., Akbar, A. A., & Susilawati, L. (2025). Persepsi terhadap penggunaan AI: Tools aplikasi, intensitas, efektivitas, kemudahan, dukungan dan etika dalam pemanfaatan AI di kalangan mahasiswa. DWIJA CENDEKIA: Jurnal Riset Pedagogik, 9(3). https://doi.org/10.20961/jdc.v9i3.109374

Shintawati, A., Atmojo, I. R. W., & Ardiansyah, R. (2023). Pengaruh kesadaran metakognisi terhadap kemampuan berpikir kritis mahasiswa PGSD UNS Surakarta. Didaktika Dwija Indria, 11(3), 1–6. https://doi.org/10.20961/ddi.v11i3.76819

DOI: https://doi.org/10.20961/ddi.v15i1.127215

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