Analisis dampak Teknologi AI terhadap Kualitas dan Aksesibilitas Pendidikan di Era Digital
Keywords:
Artificial Intelligence (AI), Personalized Learning, Automated Assessment, ChatGPT, Educational InclusivityAbstract
Education in the digital era faces challenges in enhancing the effectiveness and inclusivity of learning. The use of artificial intelligence (AI) technologies, such as generative tools and ChatGPT, offers innovative solutions to these challenges. This research aims to develop an AI education system that supports personalized learning, automated assessment, and cross-disciplinary applications of ChatGPT. The system development method involves needs analysis, AI system design, and technology implementation in the educational context. The research results show that the system can provide relevant learning experiences by tailoring approaches to individual needs. The practical implication is the adoption of the system by educational institutions to improve the quality and accessibility of digital learning.
References
R. Yilmaz and F. G. Karaoglan Yilmaz, “The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation,” Computers and Education: Artificial Intelligence, vol. 4, p. 100147, 2023, doi: https://doi.org/10.1016/j.caeai.2023.100147.
T. Al Shloul et al., “Role of activity-based learning and ChatGPT on students’ performance in education,” Computers and Education: Artificial Intelligence, vol. 6, p. 100219, 2024, doi: https://doi.org/10.1016/j.caeai.2024.100219.
Y. Song, L. R. Weisberg, S. Zhang, X. Tian, K. E. Boyer, and M. Israel, “A framework for inclusive AI learning design for diverse learners,” Computers and Education: Artificial Intelligence, vol. 6, p. 100212, 2024, doi: https://doi.org/10.1016/j.caeai.2024.100212.
R. Gao, H. E. Merzdorf, S. Anwar, M. C. Hipwell, and A. R. Srinivasa, “Automatic assessment of text-based responses in post-secondary education: A systematic review,” Computers and Education: Artificial Intelligence, vol. 6, p. 100206, 2024, doi: https://doi.org/10.1016/j.caeai.2024.100206.
F. Martin, M. Zhuang, and D. Schaefer, “Systematic review of research on artificial intelligence in K-12 education (2017–2022),” Computers and Education: Artificial Intelligence, vol. 6, p. 100195, 2024, doi: https://doi.org/10.1016/j.caeai.2023.100195.
H. Einarsson, S. H. Lund, and A. H. Jónsdóttir, “Application of ChatGPT for automated problem reframing across academic domains,” Computers and Education: Artificial Intelligence, vol. 6, p. 100194, 2024, doi: https://doi.org/10.1016/j.caeai.2023.100194.
C. W. Okonkwo and A. Ade-Ibijola, “Chatbots applications in education: A systematic review,” Computers and Education: Artificial Intelligence, vol. 2, p. 100033, 2021, doi: https://doi.org/10.1016/j.caeai.2021.100033.
R. Alfredo et al., “Human-centred learning analytics and AI in education: A systematic literature review,” Computers and Education: Artificial Intelligence, vol. 6, p. 100215, 2024, doi: https://doi.org/10.1016/j.caeai.2024.100215.
M. Schmitt, “Automated machine learning: AI-driven decision making in business analytics,” Intelligent Systems with Applications, vol. 18, p. 200188, 2023, doi: https://doi.org/10.1016/j.iswa.2023.200188.
A. Haleem, M. Javaid, M. A. Qadri, and R. Suman, “Understanding the role of digital technologies in education: A review,” Sustainable Operations and Computers, vol. 3, pp. 275–285, 2022, doi: https://doi.org/10.1016/j.susoc.2022.05.004.
S. J. H. Yang, H. Ogata, T. Matsui, and N.-S. Chen, “Human-centered artificial intelligence in education: Seeing the invisible through the visible,” Computers and Education: Artificial Intelligence, vol. 2, p. 100008, 2021, doi: https://doi.org/10.1016/j.caeai.2021.100008.
V. Srinivasan, “AI & learning: A preferred future,” Computers and Education: Artificial Intelligence, vol. 3, p. 100062, 2022, doi: https://doi.org/10.1016/j.caeai.2022.100062.
G.-J. Hwang and S.-Y. Chien, “Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective,” Computers and Education: Artificial Intelligence, vol. 3, p. 100082, 2022, doi: https://doi.org/10.1016/j.caeai.2022.100082.
F. Ouyang and P. Jiao, “Artificial intelligence in education: The three paradigms,” Computers and Education: Artificial Intelligence, vol. 2, p. 100020, 2021, doi: https://doi.org/10.1016/j.caeai.2021.100020.
G. Siemens et al., “Human and artificial cognition,” Computers and Education: Artificial Intelligence, vol. 3, p. 100107, 2022, doi: https://doi.org/10.1016/j.caeai.2022.100107.
?. Yazici, I. Shayea, and J. Din, “A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems,” Engineering Science and Technology, an International Journal, vol. 44, p. 101455, 2023, doi: https://doi.org/10.1016/j.jestch.2023.101455.
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