Pengembangan Buku Panduan Guru Dalam Mengoptimalkan Artificial Intelligence (AI) Untuk Menunjang Pembelajaran
DOI:
https://doi.org/10.47200/aoej.v15i2.2549Keywords:
ADDIE, Education, LearningAbstract
Education is a major milestone in building the foundation of a nation's excellence. In the digital era and the industrial revolution 4.0, the application of artificial intelligence (AI) technology is becoming increasingly important in improving the effectiveness of learning. This study aims to develop an instructional guide for teachers in utilizing AI optimally in the context of learning. The method used in this study is based on the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) instructional design model. The analysis stage will consider the needs of teachers and the potential use of AI in the context of learning. Furthermore, the design stage will lead to the creation of an instructional guide based on pedagogical principles and AI technological capabilities. Furthermore, the design stage will lead to the creation of an instructional guide based on pedagogical principles and AI technological capabilities. This study aims to develop a teacher's guidebook in optimizing the use of Artificial Intelligence (AI) to support the learning process. The methodology used is ADDIE, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The results of the analysis show that the majority of teachers feel they lack knowledge about AI and its applications in education. This guidebook is designed to provide theoretical understanding and practical applications of AI in various subjects.
Downloads
References
Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with ai: exploring the transformative potential of chatgpt. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., … & Arteaga, R. M. Y. (2023). Artificial intelligence and education. South Florida Journal of Development, 4(2), 641-655. https://doi.org/10.46932/sfjdv4n2-001
Akgün, S. and Greenhow, C. (2021). Artificial intelligence in education: addressing ethical challenges in k-12 settings. AI and Ethics, 2(3), 431-440. https://doi.org/10.1007/s43681-021-00096-7
Berendt, B., Littlejohn, A., & Blakemore, M. (2020). Ai in education: learner choice and fundamental rights. Learning, Media and Technology, 45(3), 312-324. https://doi.org/10.1080/17439884.2020.1786399
Dahmash, A. B., Alabdulkareem, M., Alfutais, A., Kamel, A., Alkholaiwi, F., Al- Shehri, S., … & Almoaiqel, M. (2020). Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?.BJR|Open, 2(1), 20200037. https://doi.org/10.1259/bjro.20200037
Klímová, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of ai-driven mobile apps for education. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1118116
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. T. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241. https://doi.org/10.1007/s10639-022-11316- w
Johnson, R. T., Stone, D. L., & Lukaszewski, K. M. (2020). The benefits of ehrm and ai for talent acquisition. Journal of Tourism Futures, 7(1), 40-52. https://doi.org/10.1108/jtf-02-2020-0013
Peng, M., Xie, J., Mao-hua, X., & Liu, Y. (2023). Artificial intelligence education in primary and secondary schools from the perspective of thinking quality. Journal of Contemporary Educational Research, 7(4), 41-46. https://doi.org/10.26689/jcer.v7i4.4875
Alenezi, F. (2023). Artificial intelligence versus arab universities: an enquiry into the saudi context. Humanities and Management Sciences - Scientific Journal of King Faisal University, 1-7. https://doi.org/10.37575/h/edu/220038
Ghnemat, R., Shaout, A., & Al-Sowi, A. M. (2022). Higher education transformation for artificial intelligence revolution: transformation framework. International Journal of Emerging Technologies in Learning (iJET), 17(19), 224-241. https://doi.org/10.3991/ijet.v17i19.33309
Mahligawati, F., Allanas, E., Butarbutar, M. H., & Nordin, N. A. N. (2023). Artificial intelligence in physics education: a comprehensive literature review. Journal of Physics: Conference Series, 2596(1), 012080. https://doi.org/10.1088/1742-6596/2596/1/012080
Yau, K. W., Chai, C. S., Chiu, T. K. F., Meng, H., King, I., & Yam, Y. (2022). Aphenomenographic approach on teacher conceptions of teaching artificial intelligence (ai) in k-12 schools. Education and Information Technologies, 28(1), 1041-1064. https://doi.org/10.1007/s10639-022-11161-x
Akinwalere, S. N. and Ivanov, V. (2022). Artificial intelligence in higher education: challenges and opportunities. Border Crossing, 12(1), 1-15. https://doi.org/10.33182/bc.v12i1.2015
Chen, J. J. and Lin, J. C. (2023). Artificial intelligence as a double-edged sword: wielding the power principles to maximize its positive effects and minimize its negative effects. Contemporary Issues in Early Childhood, 25(1), 146-153. https://doi.org/10.1177/14639491231169813
Lainjo, B. and Tsmouche, H. (2023). Impact of artificial intelligence on higher learning institutions. International Journal of Education, Teaching, and Social Sciences, 3(2), 96-113. https://doi.org/10.47747/ijets.v3i2.1028
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Deby Fauzi Asidiqi, Ajeng Ginanjar, Dede Kurnia Adiputra, Suwarno
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
