Peningkatan Kualitas Pembelajaran Siswa SMA Sederajat Menggunakan Media Pembelajaran Berbasis Teknologi Kecerdasan Buatan
DOI:
https://doi.org/10.61292/cognoscere.252Keywords:
Artificial Intelligence, Conceptual Understanding, Learning Media, Learning MotivationAbstract
The advancement of artificial intelligence (AI) technology has significantly transformed the education sector, particularly in enhancing the quality of learning at the senior high school level. This study aims to analyze the effectiveness of AI-based learning media in improving students' conceptual understanding, learning motivation, and classroom engagement. A quantitative research approach with a quasi-experimental design was employed, dividing students into an experimental group using AI-based media and a control group employing conventional learning methods. Data were collected through concept comprehension tests, learning motivation questionnaires, and classroom engagement observations. The findings indicate that students utilizing AI-based learning media exhibited a significant improvement in conceptual understanding compared to the control group. Additionally, AI enhanced learning motivation by offering a more interactive and personalized learning experience. In terms of engagement, students in the experimental group participated more actively and explored learning materials more deeply than those using traditional methods. However, the implementation of AI technology in education still faces several challenges, such as school infrastructure readiness, teachers' digital literacy, and accessibility limitations in certain regions. This study recommends the development of educational policies that support the gradual integration of AI into the school curriculum, accompanied by teacher training programs and infrastructure improvements.
Abstrak
Kemajuan teknologi kecerdasan buatan (AI) telah membawa perubahan signifikan dalam dunia pendidikan, khususnya dalam meningkatkan kualitas pembelajaran di tingkat sekolah menengah atas (SMA) dan sederajat. Penelitian ini bertujuan untuk menganalisis efektivitas media pembelajaran berbasis AI dalam meningkatkan pemahaman materi, motivasi belajar, serta keterlibatan siswa dalam proses pembelajaran. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan desain eksperimen semu (quasi-experiment), di mana siswa dibagi menjadi kelompok eksperimen yang menggunakan media berbasis AI dan kelompok kontrol yang menggunakan metode konvensional. Data dikumpulkan melalui tes pemahaman materi, kuesioner motivasi belajar, serta observasi keterlibatan siswa di kelas. Hasil penelitian menunjukkan bahwa siswa yang belajar menggunakan media berbasis AI mengalami peningkatan yang signifikan dalam pemahaman konsep dibandingkan dengan kelompok kontrol. Selain itu, AI mampu meningkatkan motivasi belajar dengan memberikan pengalaman belajar yang lebih interaktif dan personal. Dari segi keterlibatan, siswa dalam kelompok eksperimen lebih aktif dalam berpartisipasi dan mengeksplorasi materi dibandingkan dengan metode konvensional. Meskipun demikian, implementasi teknologi AI dalam pembelajaran masih menghadapi tantangan, seperti kesiapan infrastruktur sekolah, literasi digital guru, serta keterbatasan akses di daerah tertentu. Penelitian ini merekomendasikan adanya kebijakan pendidikan yang mendukung integrasi AI dalam kurikulum sekolah secara bertahap, disertai dengan pelatihan bagi tenaga pengajar dan peningkatan fasilitas infrastruktur pendidikan.
Kata Kunci: Kecerdasan Buatan, Media Pembelajaran, Motivasi Belajar, Pemahaman Konsep
References
Abdillah, L. A. (2017). Enriching Information Technology Course Materials by Using YouTube. arXiv preprint arXiv:1708.04878.
Allouche, E. (2024). Digital Transformation of Education, Systems Approach and Applied Research. arXiv preprint arXiv:2406.11861.
Angga, A., Abidin, Y., & Iskandar, S. (2022). Penerapan pendidikan karakter dengan model pembelajaran berbasis keterampilan abad 21. Jurnal Basicedu, 6(1), 1046-1054.
Benson, A. (2023). The Future of AI in Education: AI Classroom Partners. XRDS: Crossroads, The ACM Magazine for Students, 29(3), 30-35. https://doi.org/10.1145/3589646
Bowers, A. J., & Urick, A. (2011). Do high school facilities affect student achievement? A two-level hierarchical linear model. Journal of Educational Administration, 49(6), 657-678.
Bulut, O., Beiting-Parrish, M., Casabianca, J. M., Slater, S. C., Jiao, H., Song, D., Ormerod, C. M., Fabiyi, D. G., Ivan, R., Walsh, C., Rios, O., Wilson, J., Yildirim-Erbasli, S. N., Wongvorachan, T., Liu, J. X., & Tan, B. (2024). The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges. arXiv preprint arXiv:2406.18900.
Chan, C. K. Y., & Tsi, L. H. Y. (2023). The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? arXiv preprint arXiv:2305.01185.
Eden, C. A., & Idowu, A. (2023). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006–013.
Ehrenberg, R. G., & Brewer, D. J. (1994). Do school and teacher characteristics matter? Evidence from high school and beyond. Economics of Education Review, 13(1), 1-17.
Hasanah, H., & Malik, N. (2019). Strategi pembelajaran abad 21 bagi guru-guru SMK Kartika XX-1 Makassar. Seminar Nasional Pengabdian Kepada Masyarakat, 6, 389-391.
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. arXiv preprint arXiv:2305.18303. https://doi.org/10.48550/arXiv.2305.18303
Karan, B., & Angadi, G. R. (2023). Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review. Bulletin of Science, Technology & Society.
Kayyali, M. (2024). The Future of AI in Education: Predictions and Emerging Trends. Dalam Next-Generation AI Methodologies in Education (hal. 367-406). IGI Global. https://doi.org/10.4018/979-8-3693-7220-3.ch013
Khanal, S., & Pokhrel, S. R. (2024). Analysis, Modeling and Design of Personalized Digital Learning Environment. arXiv preprint arXiv:2405.10476.
Naila, I., Atmoko, A., Dewi, R. S. I., & Kusumajanti, W. (2023). Pengaruh Artificial Intelligence Tools terhadap Motivasi Belajar Siswa Ditinjau dari Teori Rogers. At-Thullab: Jurnal Pendidikan Guru Madrasah Ibtidaiyah, 7(2). https://doi.org/10.30736/atl.v7i2.1774
Nelliraharti. (2024). Pengaruh Artificial Intelligence (AI) terhadap Motivasi Belajar Mahasiswa. Journal of Education Science, 10(1). https://doi.org/10.33143/jes.v10i1.3993
Nyaaba, M., Shi, L., Nabang, M., Zhai, X., Kyeremeh, P., Arthur Ayoberd, S., & Akanzire, B. N. (2024). Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes. arXiv preprint arXiv:2407.11983. https://doi.org/10.48550/arXiv.2407.11983
Nyaaba, M., Shi, L., Nabang, M., Zhai, X., Kyeremeh, P., Ayoberd, S. A., & Akanzire, B. N. (2024). Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teac
Ofosu-Ampong, K., Acheampong, B., & Boateng, M. O. (2023). Acceptance of Artificial Intelligence (ChatGPT) in Education: Trust, Innovativeness and Psychological Need of Students.
Roe, J., Perkins, M., & Ruelle, D. (2024). Understanding Student and Academic Staff Perceptions of AI Use in Assessment and Feedback. arXiv preprint arXiv:2406.15808.
Romão, L., Kalinowski, M., Barbosa, C., Araújo, A. A., Barbosa, S. D. J., & Lopes, H. (2024). Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education. arXiv preprint arXiv:2407.15982.
Sriwijaya, H. (2018). Research and Development (R&D) Method as a Model in Educational Research and Development Field. Holistic Journal, 10(2), 1-8.
St-Hilaire, M., Tremblay, J., Gagnon, F., & Roy, L. (2022). Comparing Traditional and AI-Based Personalized Online Learning Platforms: A Performance Evaluation. arXiv preprint arXiv:2208.14532.
Wandera, H., Marivate, V., & Sengeh, D. (2020). Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning. arXiv preprint arXiv:2004.11369.
Wang, A. I., & Tahir, R. (2020). The effect of using Kahoot! for learning – A literature review. Computers & Education, 149, 103818.
Wecks, J. O., Voshaar, J., Plate, B. J., & Zimmermann, J. (2024). Generative AI Usage and Academic Performance. arXiv preprint arXiv:2404.19699.
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