PENGGUNAAN KECERDASAN BUATAN UNTUK PERSONALISASI PENGALAMAN BELAJAR

Authors

  • Arnadi Arnadi Institut Agama Islam Sultan Muhammad Syafiuddin Sambas
  • Aslan Aslan Institut Agama Islam Sultan Muhammad Syafiuddin Sambas
  • Arnes Yuli Vandika Universitas Bandar Lampung

Keywords:

Artificial Intelligence, Learning Experience

Abstract

Using Artificial Intelligence (AI) to Personalise Learning Experiences refers to the application of AI technology and machine learning algorithms in an educational context to create individually tailored learning experiences for each learner. This approach leverages AI's ability to analyse big data about each student's learning patterns, strengths, weaknesses and preferences, then uses that information to adjust content, pace and teaching methods in real-time. The aim is to optimise the learning process by providing the most relevant and effective material for each individual. In practice, these AI-based systems can recommend appropriate learning resources, adjust task difficulty levels, provide personalised feedback, and even predict areas where a student may struggle in the future. This approach not only includes customisation of academic content, but can also take into account factors such as a student's learning style, motivation, and socio-emotional context. Thus, the use of AI to personalise learning experiences aims to create an educational environment that is more inclusive, effective, and responsive to the individual needs of each learner.

Downloads

Download data is not yet available.

References

Afonso, J., Martins, M., Ferreira, J., & Mascarenhas, M. (2023). Artificial intelligence: Machine learning, deep learning, and applications in gastrointestinal endoscopy. Artificial Intelligence in Capsule Endoscopy, Query date: 2024-09-15 04:47:22, 1–10. https://doi.org/10.1016/b978-0-323-99647-1.00003-4

Anuradha, S. (2021). Artificial Intelligence-Based Ubiquitous Smart Learning Educational Environments. Artificial Intelligence Theory, Models, and Applications, Query date: 2024-09-15 04:47:22, 197–204. https://doi.org/10.1201/9781003175865-11

Arikunto;, S. (2000). Manajemen Penelitian (Jakarta). Rineka Cipta. //172.0.0.24%2Felibrary%2Findex.php%3Fp%3Dshow_detail%26id%3D2341%26keywords%3D

Calderaro, J., & Vij, M. (2023). Artificial intelligence in pathology and application to liver disease. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases, Query date: 2024-09-15 04:47:22, 93–107. https://doi.org/10.1016/b978-0-323-99136-0.00014-3

Chang, E. Y. (2023). Data-centric artificial intelligence in health care. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases, Query date: 2024-09-15 04:47:22, 19–49. https://doi.org/10.1016/b978-0-323-99136-0.00005-2

Chen, I., & Li, A. (2022). An Intelligent Lock System to Improve Learning Efficiency using Artificial Intelligence and Internet of Things. Artificial Intelligence and Machine Learning, Query date: 2024-09-15 04:47:22, 43–56. https://doi.org/10.5121/csit.2022.121204

Fadli, M. R. (2021). Memahami desain metode penelitian kualitatif. HUMANIKA, 21(1), 33–54. https://doi.org/10.21831/hum.v21i1.38075

Fawait, A., Siyeh, W. F., & Aslan, A. (2024). ISLAMIC EDUCATION MANAGEMENT STRATEGIES IN IMPROVING THE QUALITY OF LEARNING IN MADRASAS. Indonesian Journal of Education (INJOE), 4(2), 657~665-657~665.

Gao, N., & Lu, Q. (2024). Big Data Analysis and Deep Learning Optimization in Artificial Intelligence Production of Information Enterprises. Scalable Computing: Practice and Experience, 25(3), 1533–1540. https://doi.org/10.12694/scpe.v25i3.2703

Gimelfarb, M., Sanner, S., & Lee, C.-G. (2021). Bayesian Experience Reuse for Learning from Multiple Demonstrators. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Query date: 2024-09-15 04:47:22, 2425–2431. https://doi.org/10.24963/ijcai.2021/334

Guna, B. W. K., Yuwantiningrum, S. E., Firmansyah, S, M. D. A., & Aslan. (2024). Building Morality and Ethics Through Islamic Religious Education In Schools. IJGIE (International Journal of Graduate of Islamic Education), 5(1), 14–24. https://doi.org/10.37567/ijgie.v5i1.2685

Hanratty, K. P. (2023). Artificial (military) intelligence: Enabling decision dominance through machine learning. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, Query date: 2024-09-15 04:47:22, 13–13. https://doi.org/10.1117/12.2663413

Judijanto, L., Shodiqin, R., & Aslan. (2024). SOCIAL SOLIDARITY IN THE DIGITAL AGE: CHALLENGES AND OPPORTUNITIES. Prosiding Seminar Nasional Indonesia, 2(3), 357–368.

Lamaazi, H., & Mathew, E. (2024). Comprehensive comparative analysis of artificial intelligence, machine learning, and deep learning. Artificial Intelligence for Intelligent Systems, Query date: 2024-09-15 04:47:22, 51–68. https://doi.org/10.1201/9781003496410-4

Lasisi, R., Philips, C., & Hartnett, N. (2022). ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence. Proceedings of the 14th International Conference on Agents and Artificial Intelligence, Query date: 2024-09-15 04:47:22, 842–850. https://doi.org/10.5220/0010916100003116

Lee, J., Lamb, R., & Kim, S. (2021). Artificial Intelligence and Learning. Education, Query date: 2024-09-15 04:47:22. https://doi.org/10.1093/obo/9780199756810-0269

Lu, X. (2024). Application of Artificial Intelligence Technology and Deep Learning in Laboratory Intelligent Management Platform. Scalable Computing: Practice and Experience, 25(5), 3251–3258. https://doi.org/10.12694/scpe.v25i5.3057

Mahapatra, P., & Singh, S. K. (2021). Artificial Intelligence and Machine Learning. Artificial Intelligence and Machine Learning in Business Management, Query date: 2024-09-15 04:47:22, 53–80. https://doi.org/10.1201/9781003125129-4

McIntyre, N. A. (2022). Accelerating online learning: Machine learning insights into the importance of cumulative experience, independence, and country setting. Computers and Education: Artificial Intelligence, 3(Query date: 2024-09-15 04:47:22), 100106–100106. https://doi.org/10.1016/j.caeai.2022.100106

Mellit, A., & Kalogirou, S. (2022). Artificial intelligence techniques: Machine learning and deep learning algorithms. Handbook of Artificial Intelligence Techniques in Photovoltaic Systems, Query date: 2024-09-15 04:47:22, 43–83. https://doi.org/10.1016/b978-0-12-820641-6.00002-8

Mohaghegh, S. D. (2022). Artificial Intelligence and Machine Learning. Smart Proxy Modeling, Query date: 2024-09-15 04:47:22, 1–6. https://doi.org/10.1201/9781003242581-1

Nguyen, N. P., & Mogaji, E. (2023). Artificial Intelligence for Seamless Experience Across Channels. Artificial Intelligence in Customer Service, Query date: 2024-09-15 04:47:22, 181–203. https://doi.org/10.1007/978-3-031-33898-4_8

Nohadani, O. (2022). Artificial intelligence and machine learning. Artificial Intelligence in Radiation Therapy, Query date: 2024-09-15 04:47:22, 2–2. https://doi.org/10.1088/978-0-7503-3339-9ch2

Rabindranath, M., Azhie, A., & Bhat, M. (2023). Artificial intelligence in liver transplantation. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases, Query date: 2024-09-15 04:47:22, 195–214. https://doi.org/10.1016/b978-0-323-99136-0.00017-9

Ramachandran, G., & Kannan, S. (2021). Artificial Intelligence and Deep Learning Applications: A Review. Journal of Artificial Intelligence, Machine Learning and Neural Network, 12, 10–13. https://doi.org/10.55529/jaimlnn.12.10.13

Rane, N. L. (2024). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for personalized and adaptive learning. Journal of Artificial Intelligence and Robotics, Query date: 2024-09-15 04:47:22. https://doi.org/10.61577/jaiar.2024.100006

Sahar, J. (2008). Kritik Pada Penelitian Kualitatif. Jurnal Keperawatan Indonesia, 12(3), 197–203. https://doi.org/10.7454/jki.v12i3.222

Sartika, E., & Fransiska, F. W. (2024). UNDERSTANDING THE STUDENTS’ENGLISH LEARNING ACHIEVEMENT AND HOME ENVIRONMENT SUPPORTS DURING SCHOOL CLOSURE TO RESPOND TO PANDEMIC AT PRIVATE MADRASAH TSANAWIYAH AT-TAKWA SAMBAS. International Journal of Teaching and Learning, 2(4), 939–953.

Sato, M. (2023). Artificial intelligence in liver cancer. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases, Query date: 2024-09-15 04:47:22, 215–231. https://doi.org/10.1016/b978-0-323-99136-0.00007-6

SHAMSIEV, I. (2022). ARTIFICIAL INTELLIGENCE IN EDUCATION: THE UAE EXPERIENCE. Sharqshunoslik. Востоковедение. Oriental Studies, 2(2), 126–131. https://doi.org/10.37547/ot/vol-01issue-02-16

Siddiqui, Z. A., & Haroon, M. (2022). Application of artificial intelligence and machine learning in blockchain technology. Artificial Intelligence and Machine Learning for EDGE Computing, Query date: 2024-09-15 04:47:22, 169–185. https://doi.org/10.1016/b978-0-12-824054-0.00001-0

Sitopu, J. W., Khairani, M., Roza, M., Judijanto, L., & Aslan, A. (2024). THE IMPORTANCE OF INTEGRATING MATHEMATICAL LITERACY IN THE PRIMARY EDUCATION CURRICULUM: A LITERATURE REVIEW. International Journal of Teaching and Learning, 2(1), 121–134.

Soltani, G. (2021). Artificial Intelligence and conscious brain waves. International Journal of Artificial Intelligence and Machine Learning, 1(1), 11–11. https://doi.org/10.51483/ijaiml.1.1.2021.11-17

Sudirman, I. D., & Rahmatillah, I. (2023). Artificial Intelligence-Assisted Discovery Learning: An Educational Experience for Entrepreneurship Students Using ChatGPT. 2023 IEEE World AI IoT Congress (AIIoT), Query date: 2024-09-15 04:47:22, 786–791. https://doi.org/10.1109/aiiot58121.2023.10174472

Syakhrani, A. W., & Aslan, A. (2024). THE IMPACT OF INFORMAL FAMILY EDUCATION ON CHILDREN’S SOCIAL AND EMOTIONAL SKILLS. Indonesian Journal of Education (INJOE), 4(2), 619~631-619~631.

Unhelkar, B., & Gonsalves, T. (2021). Artificial intelligence and machine learning. Artificial Intelligence for Business Optimization, Query date: 2024-09-15 04:47:22, 1–29. https://doi.org/10.1201/9781003120926-1

Upadhyay, N., & Gulati, A. (2023). Applications of Artificial Intelligence and Machine Learning for Diagnosis, Prediction, and Smart Health Care. Artificial Intelligence and Machine Learning in Healthcare, Query date: 2024-09-15 04:47:22, 79–94. https://doi.org/10.1007/978-981-99-6472-7_6

Wan, J. (2022). “Artificial Intelligence, Machine Learning and Deep Learning – Limitations: Privacy and Data Security Issues” Chapter. Artificial Intelligence in Medicine, Query date: 2024-09-15 04:47:22, 217–239. https://doi.org/10.1007/978-981-19-1223-8_10

Wasserman, J. A., & Wald, H. S. (2024). Artificial intelligence, machine learning, and bioethics in clinical medicine. Machine Learning and Artificial Intelligence in Radiation Oncology, Query date: 2024-09-15 04:47:22, 29–39. https://doi.org/10.1016/b978-0-12-822000-9.00015-x

WEINDORF, D. C., & CHAKRABORTY, S. (2024). Balancing machine learning and artificial intelligence in soil science with human perspective and experience. Pedosphere, 34(1), 9–12. https://doi.org/10.1016/j.pedsph.2023.09.010

Wodecki, A. (2020). Artificial intelligence and machine learning landscape. Artificial Intelligence in Management, Query date: 2024-09-15 04:47:22. https://doi.org/10.4337/9781839104954.00005

Wooldridge, M. (2020). Artificial Intelligence requires more than deep learning—But what, exactly? Artificial Intelligence, 289(Query date: 2024-09-15 04:47:22), 103386–103386. https://doi.org/10.1016/j.artint.2020.103386

Yu, C. H. (2023). Artificial Intelligence, Machine Learning, and Psychology. Psychology, Query date: 2024-09-15 04:47:22. https://doi.org/10.1093/obo/9780199828340-0323

Zhang, B., & Meng, L. (2021). An Experience of Inheriting and Innovating Traditional Chinese Medicine by Artificial Intelligence. Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare, Query date: 2024-09-15 04:47:22, 181–186. https://doi.org/10.5220/0011234200003444

Ziakkas, D., & Plioutsias, A. (2024). Artificial Intelligence in Customers’ Experience. Artificial Intelligence and Human Performance in Transportation, Query date: 2024-09-15 04:47:22, 83–92. https://doi.org/10.1201/9781003480891-6

Downloads

Published

2024-09-14

How to Cite

Arnadi Arnadi, Aslan Aslan, & Arnes Yuli Vandika. (2024). PENGGUNAAN KECERDASAN BUATAN UNTUK PERSONALISASI PENGALAMAN BELAJAR. Jurnal Ilmu Pendidikan Dan Kearifan Lokal, 4(5), 369–380. Retrieved from https://jipkl.com/index.php/JIPKL/article/view/101

Issue

Section

Articles

Most read articles by the same author(s)