Kecerdasan Buatan (Artificial Intelegence) Dalam Pendidikan
DOI:
https://doi.org/10.35568/naturalistic.v8i2.4702Keywords:
Kecerdasa, Artificial Intelegence, PendidikanAbstract
Perkembangan teknologi kecerdasan buatan telah menjadi bagian dari kehidupan umat manusia, dan telah menjadi faktor kunci dalam mengubah pendidikan. Oleh sebab itu, kemampuan untuk menciptakan dan mengembangkan pembelajaran inovatif untuk memenuhi kebutuhan pembelajaran mandiri melalui bantuan teknologi kecerdasan buatan menjadi sebuah keniscayaan. Studi ini bertujuan untuk menggali informasi dan mengkaji secara kritis tentang teknologi kecerdasan buatan dalam pendidikan. Penelitian ini menggunakan studi pustaka dengan kajian teoretis untuk menggali informasi dari berbagai sumber literatur tentang teknologi kecerdasan buatan dalam pendidikan. Berdasarkan hasil kajian pustaka yang telah dilakukan disimpulkan bahwa keberadaan teknologi kecerdasan buatan telah berkontribusi sebagai agen, platform, dan analitik dalam beragam konteks dalam disiplin ilmu dalam pendidikan. Namun demikian, para pendidik perlu mencari cara untuk memasukkan pertimbangan etis ke dalam desain dan implementasi pendidikan berbasis teknologi kecerdasan buatan dengan penuh perhatian dan tanggung jawab. Sebab, selain memberi kontribusi besar terhadap pendidikan, teknologi kecerdasan buatan dapat memberi masalah yang kompleks pada beberapa aspek etis yang memerlukan dialog berkelanjutan dan pengambilan keputusan yang tepat. Oleh sebab itu, perlu adanya pembinaan nilai etika dan moral secara berkelanjutan yang harus dilakukan di lingkungan akademik untuk memastikan teknologi kecerdasan buatan dimanfaatkan untuk tujuan etis dan bertanggung jawab.
Downloads
References
Alalwan, N., Al-Rahmi, W., Alfarraj, O, Alzahrani, A., Yahaya, N., & Al-Rahmi, A. (2019). Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education. IEEE Access, PP, 1-1. https://doi.org/10.1109/ACCESS.2019.2928142
AlKhuzaey, S., Grasso, F., Payne, T. R., & Tamma, V. (2021). A systematic review of data-driven approaches to item difficulty prediction [Paper presentation]. International Conference on Artificial Intelligence in Education. https://doi.org/10.1007/978-3-030-78292-4_3
Arizmendi, C. J., Bernacki, M. L., Raković, M., Plumley, R. D., Urban, C. J., Panter, A., Greene, J. A., & Gates, K. M. (2022). Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work. Behavior Research Methods, 55, 1–29. https://doi.org/10.3758/s13428-022-01939-9
Atenas, J., Havemann, L., & Timmermann, C. (2023). Reframing data ethics in research methods education: a pathway to critical data literacy. International Journal of Educational Technology in Higher Education, 20(1), 11. https://doi.org/10.1186/s41239-023-00380-y
Atlas, S. (2023). ChatGPT for Higher Education and Professional Development: A Guide to Conversational AI. https://digitalcommons.uri.edu/cba_facpubs/548
Balfour, S. P. (2013). Assessing writing in MOOCs: Automated essay scoring and Calibrated Peer Review™. Research & Practice in Assessment, 8, 40–48. https://files.eric.ed.gov/fulltext/EJ1062843.pdf
Bhutoria, A. (2022). Personalized education and artificial intelligence in United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 100068. https://doi.org/10.1016/j.caeai.2022.100068
Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198204. https://doi.org/10.5281/zenodo.7716416
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66, 616–630. https://doi.org/10.1007/s11528-022-00715-y
Chatzara, E., Kotsakis, R., Tsipas, N., Vrysis, L., & Dimoulas, C. (2019). Machine-assisted learning in highly interdisciplinary media fields: A multimedia guide on modern art. Education Sciences, 9(3), 198. https://doi.org/10.3390/educsci9030198
Chen, X., Xie, H., & Hwang, G.-J. (2020). A multi-perspective study on artificial intelligence in education: Grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, 100005. https://doi.org/10.1016/j.caeai.2020.100005
Chu, H.-C., Hwang, G.-H., Tu, Y.-F., & Yang, K.-H. (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://doi.org/10.14742/ajet.7526
Crompton, H., Jones, M. V., & Burke, D. (2022). Affordances and challenges of artificial intelligence in K–12 education: A systematic review. Journal of Research on Technology in Education, 1–21. http://dx.doi.org/10.1080/15391523.2022.2121344
Du, Y. (2021). Systematic review of artificial intelligence in language learning. 2021 International Conference on Intelligent Manufacturing Technology and Information Technology. http://166.62.7.99/conferences/AEASR/IMTIT%202021/IMTIT007.pdf
Dziuban, C., Graham, C. R., Moskal, P. D., Norberg, A., & Sicilia, N. (2018). Blended learning: The new normal and emerging technologies. International Journal of Educational Technology in Higher Education, 15(1), 1–16. https://doi.org/10.1186/s41239-017-0087-5
Ernst, C., Schröter, J., & Sudmann, A. (2019). AI and the Imagination to Overcome Difference. Spheres: Journal for Digital Cultures, 5, 1-12.
Floridi, L. (2014). The 4th revolution: How the infosphere is reshaping human reality. Oxford University Press.
Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023). ENAI Recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity, 19(1), 12. https://doi.org/10.1007/s40979-023-00133-4
Gates, B. (2023). The Age of AI has begun. https://www.gatesnotes.com/The-Age-of-AI-Has-Begun Gašević, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 100130. https://doi.org/https://doi.org/10.1016/j.caeai.2023.100130
Gera, R., & Chadha, P. (2021). Systematic review of artificial intelligence in higher education (2000– 2020) and future research directions. In W. B. James, C. Cobanoglu, & M. Cavusoglu (Eds.), Advances in global education and research (Vol. 4, pp. 1–12). USF M3 Publishing https://www.doi.org/10.5038/9781955833042
González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467
Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421. https://doi.org/10.30935/cedtech/13036
Hashim, S., Omar, M. K., Ab Jalil, H., & Sharef, N. M. (2022). Trends on technologies and artificial intelligence in education for personalized learning: Systematic literature review. Journal of Academic Research in Progressive Education and Development, 12(1), 884–903. http://doi.org/10.6007/IJARPED/v11-i1/12230
Herlambang,Y T. (2018). Pedagogik: Telaah Kritis Ilmu Pendidikan Dalam Multiperspektif. Jakarta: Bumi Aksara.
Holmes, W., Persson, J., Chounta, I.-A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education a critical view through the lens of human rights, democracy and the rule of law. Council of Europe. https://book.coe.int/en/education-policy/11333-artificial-intelligence-andeducation-a-critical-view-through-the-lens-of-human-rights-democracy-and-the-rule-oflaw.html
Hunt, V., Prince, S., Dixon-Fyle, S., & Yee, L. (2018). Delivering Through Diversity. McKinsey & Company.
Hwang, G.-J., & Tu, Y.-F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
Hwang, G.-J., Tu, Y.-F., & Tang, K.-Y. (2022). AI in online-learning research: Visualizing and interpreting the journal publications from 1997 to 2019. International Review of Research in Open and Distributed Learning, 23(1), 104–130. https://doi.org/10.19173/irrodl.v23i1.6319
Hwang, G.-J., Zou, D., & Lin, J. (2020). Effects of a multi-level concept mapping-based question-posing approach on students’ ubiquitous learning performance and perceptions. Computers & Education, 149, 103815. https://doi.org/10.1016/j.compedu.2020.103815
Jia, J., Chen, Y., Ding, Z., & Ruan, M. (2012). Effects of a vocabulary acquisition and assessment system on students’ performance in a blended learning class for English subject. Computers & Education, 58(1), 63–76. https://doi.org/10.1016/j.compedu.2011.08.002
Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020). A systematic review of automatic question generation for educational purposes. International Journal of Artificial Intelligence in Education, 30(1), 121–204. https://doi.org/10.1007/s40593-019-00186-y
Liang, J.-C., Hwang, G.-J., Chen, M.-R. A., & Darmawansah, D. (2021). Roles and research foci of artificial intelligence in language education: An integrated bibliographic analysis and systematic review approach. Interactive Learning Environments, 31, 1–27. https://doi.org/10.1080/10494820.2021.1958348
Liu, G.-Z., Lo, H.-Y., & Wang, H.-C. (2013). Design and usability testing of a learning and plagiarism avoidance tutorial system for paraphrasing and citing in English: A case study. Computers & Education, 69, 1–14. https://doi.org/10.1016/j.compedu.2013.06.011
Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Honolulu, HI, USA. https://doi.org/10.1145/3313831.33767279
Lou, C., Kang, H., & Tse, C. H. (2022). Bots vs. humans: how schema congruity, contingency-based interactivity, and sympathy influence consumer perceptions and patronage intentions. International Journal of Advertising, 41(4), 655-684. https://doi.org/10.1080/02650487.2021.1951510
Lu, O. H., Huang, A. Y., Tsai, D. C., & Yang, S. J. (2021). Expert-authored and machine-generated short answer questions for assessing students learning performance. Educational Technology & Society, 24(3), 159–173. https://www.jstor.org/stable/27032863
Meng, J., & Dai, Y. (2021). Emotional Support from AI Chatbots: Should a Supportive Partner SelfDisclose or Not? Journal of Computer-Mediated Communication, 26(4), 207-222. https://doi.org/10.1093/jcmc/zmab005
Michalos, A. C. (Ed.) (2014). Encyclopedia of quality of life and well-being research (Vol. 171). Springer Netherlands Dordrecht.
Miner, A. S., Milstein, A., & Hancock, J. T. (2017). Talking to Machines About Personal Mental Health Problems. JAMA, 318(13), 1217-1218. https://doi.org/10.1001/jama.2017.14151
Mohamed, M. Z., Hidayat, R., binti Suhaizi, N. N., bin Mahmud, M. K. H., & binti Baharuddin, S. N. (2022). Artificial intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12132
Nadarzynski, T., Miles, O., Cowie, A., & Ridge, D. (2019). Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. Digital Health, 5, https://doi.org/10.1177/2055207619871808
Norberg, A. (2017). From blended learning to learning onlife: ICTs, time and access in higher education [Doctoral dissertation, Umeå University]. https://umu.divaportal.org/smash/record.jsf?pid=diva2%3A1068011&dswid=5553
Nurazizah, T. S., Ulfiah, Z., & Herlambang, Y. T. (2024). Ilmu Pengetahuan dan Teknologi dalam Kehidupan Manusia: Sebuah Tinjauan dalam Perspektif Filsafat. Indo-MathEdu Intellectuals Journal, 5 (1), 22- 33.
Osimo, S. A., Pizarro, R., Spanlang, B., & Slater, M. (2015). Conversations between self and self as Sigmund Freud—A virtual body ownership paradigm for self counselling. Scientific Reports, 5(1), 13899. https://doi.org/10.1038/srep13899
Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). Aigenerated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), 1013-1022. https://doi.org/10.1038/s42256-021-00417-9
Permana, B, S., Hazizah, L A., & Herlambang, Y, T. (2024). Teknologi Pendidikan: Efektivitas Penggunaan Media Pembelajaran Berbasis Teknologi Di Era Digitalisasi. Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol 4 (1). 21-28.
Phillips, A., Pane, J. F., Reumann-Moore, R., & Shenbanjo, O. (2020). Implementing an adaptive intelligent tutoring system as an instructional supplement. Educational Technology Research and Development, 68, 1409–1437. https://doi.org/10.1007/s11423-020-09745-w
QAA. (2023). The rise of artificial intelligence software and potential risks for academic integrity: Briefing paper for higher education providers. QAA. https://www.qaa.ac.uk/docs/qaa/members/the-rise-of-artificial-intelligence-software-andpotential-risks-for-academic-integrity.pdf
S. E. (2023). 6 Tenets of Postplagiarism: Writing in the Age of Artificial Intelligence. https://drsaraheaton.wordpress.com/2023/02/25/6-tenets-of-postplagiarism-writing-in-theage-of-artificial-intelligence/
Sabzalieva, E., Valentini, A. (2023). ChatGPT and artificial intelligence in higher education. https://www.iesalc.unesco.org/wp-content/uploads/2023/04/ChatGPT-and-ArtificialIntelligence-in-higher-education-Quick-Start-guide_EN_FINAL.pdf
Salsabila, H, Nurnazhiifa, K, Herlambang, Y T (2024). Pendidikan & Teknologi: Studi Filsafat Dalam Perspektif Don Ihde. Seroja: Jurnal Pendidikan 3 (1), 1-12
Sánchez-Ruiz, L. M., Moll-López, S., Nuñez-Pérez, A., Moraño-Fernández, J. A., & Vega-Fleitas, E. (2023). ChatGPT challenges blended learning methodologies in engineering education: A case study in mathematics. Applied Sciences, 13(10), 6039. https://doi.org/10.3390/app13106039
Shenk, C. E., & Fruzzetti, A. E. (2011). The Impact of Validating and Invalidating Responses on Emotional Reactivity. Journal of Social and Clinical Psychology, 30(2), 163-183. https://doi.org/10.1521/jscp.2011.30.2.163
Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/https://doi.org/10.1016/j.caeai.2023.100127
Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/https://doi.org/10.1016/j.caeai.2023.100127
Tan, S. C., Lee, A. V. Y., & Lee, M. (2022). A systematic review of artificial intelligence techniques for collaborative learning over the past two decades. Computers and Education: Artificial Intelligence, 3, 100097. https://doi.org/10.1016/j.caeai.2022.100097
Tang, K.-Y., Chang, C.-Y., & Hwang, G.-J. (2021). Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998–2019). Interactive Learning Environments, 31(4), 2134–2152. https://doi.org/10.1080/10494820.2021.1875001
Xu, W., & Ouyang, F. (2021). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27(3), 4195–4223. https://doi.org/10.1007/s10639-021-10774-y
Yahya, R, N., Azizah, S, N. & Herlambang, Y, T. (2024). Pemanfaatan ChatGPT di Kalangan Mahasiswa: Sebuah Tinjauan Etika Teknologi dalam Perspektif Filsafat. UPGRADE: Jurnal Pendidikan Teknologi Informasi. Vol 1 (2), 53-59.
Yang, Y., Leung, H., Yue, L., & Deng, L. (2013). Generating a two-phase lesson for guiding beginners to learn basic dance movements. Computers & Education, 61, 1–20. https://doi.org/10.1016/j.compedu.2012.09.006
Yang, Y.-Y., Shulruf, Boaz. (2023). An expert-led and artificial intelligence system-assisted tutoring course to improve the confidence of Chinese medical interns in suturing and ligature skills: a prospective pilot study. Journal of Educational Evaluation for Health Professions, 16(7). https://doi.org/doi:10.3352/jeehp.2019.16.7
Zhai, X. (2023). ChatGPT User Experience: Implications for Education. SSRN. https://doi.org/10.2139/ssrn.4312418
Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020). Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research, 22(9), e22845. https://doi.org/10.2196/22845
Zydney, J. M., Warner, Z., & Angelone, L. (2020). Learning through experience: Using design based research to redesign protocols for blended synchronous learning environments. Computers & Education, 143, 103678. https://doi.org/10.1016/j.compedu.2019.103678
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Naturalistic: Jurnal Kajian dan Penelitian Pendidikan dan Pembelajaran
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright of Journal Naturalistic : Jurnal Kajian Penelitian Pendidikan dan Pembelajaran (e-ISSN:2548-8589, p-ISSN:2528-2921).
Open Access Policy
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
This journal is open access journal which means that all content is freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, print, search, or link to full text articles in this journal without asking prior permission from the publisher or author. This is in accordance with Budapest Open Access Initiative.