Menggali Dampak, Relevansi, dan Tantangan Artificial Intelligence serta Learning Analytic dalam Lanskap Pendidikan

Gerlan Apriandy Manu, Andista Candra Yusro, Hengky Jemy Hailitik, Lovandri Dwanda Putra

Abstract


Dalam era teknologi yang berkembang pesat, pendidikan menghadapi transformasi melalui integrasi Artificial Intelligence (AI) dan Learning Analytic. Pendidikan tradisional sering kali bersifat statis dan kurang responsif terhadap kebutuhan individu. Dengan kemajuan teknologi, khususnya integrasi AI dan Learning Analytic dalam pendidikan berpotensi untuk membuat pendidikan lebih dinamis dan personal. Penelitian ini bertujuan untukmengkaji berbagai sumber untuk memahami dampak serta potensi AI dan Learning Analytic dalam pendidikan. Teknologi AI dan Learning Analytic memungkinkan pendidikan yang lebih adaptif. Dengan AI yang dapat mengidentifikasi kebutuhan belajar dan Learning Analytic yang dapat memberikan wawasan tentang pola belajar. Penelitian ini dilakukan dengan metode studi literatur, Hasil kajian ini yaitu : Penulis menemukan tantangan dari penggunan Teknologi AI dan Learning Analytic seperti resistensi dari komunitas pendidikan, isu-isu etika dan privasi. Walaupun terdapat tantangan-tantangan tersebut dengan strategi dan pendekatan yang tepat, AI dan Learning Analytic memiliki potensi untuk merevolusi pendidikan, menjadikannya lebih efektif dan relevan di era digital.

Full Text:

PDF

References


Atkinson, S. P. (2015). Adaptive Learning and Learning Analytics: a new learning design paradigm. BPP Working Paper, January, 1–9. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning analytics (hal. 61–75). Springer. Blikstein, P. (2016). Multimodal learning analytics and education data mining: using computational technologies to measure complex learning tasks. Journal of Learning Analytics, 1(2), 220–238. Das, A. (2023). How Artificial Intelligence Is Transforming The Learning Technology Landscape. eLearning Industry. https://elearningindustry.com/how-artificial-intelligence-is-transforming-the-learning-technology-landscape Dr. Winnie Tang (Department of Computer Science University of Hong Kong). (2023). 4 ways AI can optimize learning and teaching. AI for Good. https://aiforgood.itu.int/4-ways-ai-can-optimize-learning-and-teaching/ Fernández-Morante, C., Cebreiro-López, B., Rodríguez-Malmierca, M. J., & Casal-Otero, L. (2022). Adaptive learning supported by learning analytics for student teachers’ personalized training during in-school practices. Sustainability (Switzerland), 14(1). https://doi.org/10.3390/su14010124 Guan, C., Guan, C., Mou, J., Mou, J., Jiang, Z., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies. https://doi.org/10.1016/j.ijis.2020.09.001 Hewitt, G. (1995). Dehumanization: An Overview of Educational Technology’s Critics. Null. https://doi.org/null Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science. https://doi.org/10.1126/science.aaa8415 Khosravi, H., Shum, S. B., Kitto, K., Chen, G., Conati, C., Gasevic, D., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Tsai, Y.-S. (2022). Explainable Artificial Intelligence in education. Computers & Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2022.100074 Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011 Lucena, F. J. H., Hinojo-Lucena, F.-J., Díaz, I. A., Aznar-Díaz, I., Reche, M. P. C., Cáceres-Reche, M.-P., Rodríguez, J. M. R., & Romero-Rodríguez, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences. https://doi.org/10.3390/educsci9010051 Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed. An argument for AI in Education. Pearson. Phela, Y. J. P., Hasibuan, N., Rohy, A., & Manodohon, M. A. (2023). Challenges of Educational Philosophy (Humanism, Idealism, Naturalism, Pragmatism, Materialism, Existentialism) and its Impact on PAK in the Era of Globalization. Formosa Journal of Multidisciplinary Research. https://doi.org/10.55927/fjmr.v2i5.4315 Popenici, S., Kerr, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning. https://doi.org/10.1186/s41039-017-0062-8 Reich, J., & Ruipérez-Valiente, J. A. (2019). The MOOC pivot. Science, 363(6423), 130–131. Romero, C., & Ventura, S. (2010). Educational Data Mining: A Review of the State of the Art. null. https://doi.org/10.1109/tsmcc.2010.2053532 Sarıyalçınkaya, A. D., Karal, H., Altinay, F., & Altinay, Z. (2021). Reflections on Adaptive Learning Analytics. January, 61–84. https://doi.org/10.4018/978-1-7998-7103-3.ch003 Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press. Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851 Smith, N. B. (1972). Instructional Technology and Reading: Progress, Problems, and Promise. Trends, N., Analysis, R., Frolova, E. V, Rogach, O. V, Ryabova, T. M., & Federation, R. (2020). Digitalization of Education in Modern Scientific Discourse: New Trends and Risks Analysis. European Journal of Contemporary Education, 9(2), 313–336. https://doi.org/10.13187/ejced.2020.2.313 Tsvyk, V., & Tsvyk, I. (2019). Digital Technologies in Modern Education: Ethical Aspect. Proceedings of the 5th International Conference on Arts, Design and Contemporary Education (ICADCE 2019). https://doi.org/10.2991/icadce-19.2019.119 VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221. Woolf, B. P. (2010). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann. Zawacki-Richter, O., Marín, V. I., Bond, M., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-019-0171-0 Zeide, E. (2017). The structural consequences of big data-driven education. Big Data, 5(2), 164–172.


Refbacks

  • There are currently no refbacks.


This proceeding series is indexed by:

ipiii.pnggoogle.png

ISSN: 2987-2448