USE OF ARTIFICIAL INTELLIGENCE IN EDUCATION IN INDONESIA: LITERATURE REVIEW
Keywords:
Artificial Intelligence, Education, Indonesia, Systematic Literature Review, Chatbot, Learning EvaluationAbstract
This study aims to examine the use of Artificial Intelligence (AI) in education in Indonesia through a systematic literature review (SLR) method. Based on the analysis of 15 journal articles published between 2018 and 2024, this research identifies various AI applications in education, including chatbots for science and engineering learning, social robots for religious education, and AI for learning evaluation. The results show that AI has great potential to improve the efficiency and effectiveness of learning, provide more personalized feedback, and assist educators in decision-making. However, AI implementation also faces challenges such as high costs, the need for technological infrastructure, and ethical issues. This research provides a comprehensive overview of the opportunities and challenges faced in integrating AI into education in Indonesia and offers recommendations for further research and development.
References
Alemi, M., et al. (2020). Social robotics, education, and religion in the Islamic world: an Iranian perspective. Science and Engineering Ethics, 26(4), 2709-2734.
Bakhti, I. K., Zulkarnain, Yarun, A., Rusdi, Syaifudin, M., & Syafaq, H. (2023). The Role of Artificial Intelligence in Education: A Systematic Literature Review. Jurnal Iqra': Kajian Ilmu Pendidikan, 8(2).
Das, K., et al. (2018). The digital archipelago: how online commerce is driving Indonesia’s economic development. McKinsey Company.
Hermawan, H.D., Deswila, N., & Yunita, D.N. (2018). Implementation of ICT in education in Indonesia during 2004–2017. In 2018 International Symposium on Educational Technology (ISET). IEEE.
Hofifah, S. N., & Nandiyanto, A. B. D. (2024). Chatbot Artificial Intelligence as Educational Tools in Science and Engineering Education: A Literature Review and Bibliometric Mapping Analysis. ASEAN Journal of Science and Engineering Education, 4(2), 121-132.
Husna, L., & Febriyanti, R. (2022). Japanese native speakers’ perception on learners’ pronunciation of double consonant sounds in Japanese adverbs (fukushi). JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang, 7(1), 30-356.
Husnah, A.U., Hidayat, M.A., & Jannah, M. (2021). The journey of a math: As a mathematics learning innovation. Indonesian Journal of Multidiciplinary Research, 1(1), 129-136.
Huwaidi, F., Nandiyanto, A.B.D., & Muhammad, N. (2021). The urgency of online learning media during the Covid-19 pandemic at the vocational school in Indonesia. Indonesian Journal of Educational Research and Technology, 1(2), 35-40.
Hwang, G. J., & Chang, C. Y. (2023). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 31(7), 4099-4112.
Ibrahim, A.O. (2023). Impact of blended learning method on secondary school physics students’ achievement and retention in Lokoja, Nigeria. ASEAN Journal for Science Education, 2(2), 57-66.
Indrowaty, S. A. (2018). Japanese advertisement for improving students reading ability. JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang, 3(2), 148-153.
Jin, Q., Yuan, Z., Xiong, G., Yu, Q., Ying, H., Tan, C., & Yu, S. (2022). Biomedical question answering: a survey of approaches and challenges. ACM Computing Surveys (CSUR), 55(2), 1-36.
Jose, M.T.N.S. (2022). Factors that affect the performance of selected high school students from the third district of Albay in International Mathematics Competitions. ASEAN Journal for Science Education, 1(1), 9-16.
Juhanaini, J., Sholihat, L.F., Maryanti, R., Budiman, R.A., & Armindony, F.F. (2022). Media learning patch board in science learning energy change materials for children with intellectual disabilities. Indonesian Journal of Teaching in Science, 2(2), 139-146.
Kamila, I.N., & Sakti, A.W. (2022). Learning literature using 4m methods as an effort to increase reading interest of elementary school. Indonesian Journal of Multidiciplinary Research, 2(1).
Liang, J. C., Hwang, G. J., Chen, M. R. A., & Darmawansah, D. (2023). Roles and research foci of artificial intelligence in language education: an integrated bibliographic analysis and systematic review approach. Interactive Learning Environments, 31(7), 4270-4296.
Lin, Y., & Nixon, N. (2024). The Use of ChatGPT in Source-Based Writing Tasks. International Journal of Artificial Intelligence in Education.
Parker, M.J., Anderson, C., & Oh, Y. (2024). Transitioning to Online Instructions and COVID-19 Response. International Journal of Artificial Intelligence in Education.
Popova, B. (2020). Islamic philosophy and artificial intelligence: epistemological arguments. Zygon, 55(4), 977-995.
Rahayu, S. (2023). The Impact of Artificial Intelligence on Education: Opportunities and Challenges. Jurnal Educatio FKIP UNMA, 9(4), 2132-2140.
Satya, V.E. (2018). Strategi Indonesia menghadapi Industri 4.0. Info Singkat, 10(9), 19-24.
Sumakul, D.T.Y., Hamied, F.A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: friend or foe? LEARN Journal: Language Education and Acquisition Research Network, 15(1), 232-256.
Tan, C. (2014). Educative Tradition and Islamic Schools in Indonesia. SpringerLink.
Xu, K. (2019). First encounter with robot alpha: how individual differences interact with vocal and kinetic cues in users’ social responses. New Media & Society, 21(11-12), 2522-2547.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 REKOGNISI : Jurnal Pendidikan dan Kependidikan
This work is licensed under a Creative Commons Attribution 4.0 International License.
