The Study Of Revolutionary Impact Of Ai On Education
DOI:
https://doi.org/10.48047/ceh0dv89Keywords:
Artificial Intelligence, Education, Learning, Teaching, Cognitive Development, Learner, KnowledgeAbstract
The Present Study Explores How Ai Can Revolutionize Education - A Change That Can Transform Teaching, Learning, And The Administrative Practices Of Education. More General Infusion Of Ai Into Education Would Encompass Personalized Learning, Intelligent Tutoring Systems, And Data-Driven Assessments That Encourage Individualized Approaches To Fit The Needs Of Diverse Students. In Addition, Ai Absorbs Certain Administrative Tasks That Free The Time And Energies Of The Educator In Focusing More Intently On The Quality Of Instruction And Student Interaction. But It Casts Spotlight On Challenges That Surround Issues Of Data Privacy, Ethical Questions, And Deepening The Digital Divide. This Article Explains How Ai Contributes Toward Accessibility, Inclusivity, And Better Preparation Of Students For A Technical Future, Asking For A Balanced Approach To Create More Advantages And Rectify Its Possible Disadvantages. It Has Deeply Affected Education. It Has Gauged The Capacity Of Connectedness Between Teacher And Student Which Has Resulted Teacher As Facilitator Of The Process, Not Someone With Expertise Who Has Something To Teach. The Purpose Of This Research Is To Review Impact Of Ai In Education. The Research Method Utilized In This Study Is Qualitative Approach. This Is A Systematic Review Of Literature. For The Literature Review, The Study Uses The Narrative Review Methodology (Sage Internet Research Methods, 2019). It Will Follow A Grounded Theory Methodology And Thematic Analysis. Findings Of This Study Shows Ai Is Critically Important Aspect Of Our Modern Age. Artificial Intelligence Can Be Of A Significant Role In Supporting And Enhancing Lifelong Learning.
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References
Rahmatullah, A. S., Mulyasa, E., Syahrani, S., Pongpalilu, F., & Putri, R. E. (2022). Digital Era 4.0, The Contribution to Education and Student Psychology. Linguistics and Culture
Review, 6, 89-107.
Costa et al., 2017 ,E.B. Costa, B. Fonseca, M.A. Santana, F.F.D. Araújo, J. Rego
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses Computers in Human Behavior, 73 (2017), pp. 247-256
Laura & Chapman, 2009, p. 290
Jarrah, Wardat, & Gningue, 2022
Yang et al., 2022; Wardat, Belbase, & Tairab, 2022
Madasamy, Raja, Al-bonsrulah, & Al-Bahrani, 2022
Shabbir, J., & Anwer, T. (2018). Artificial Intelligence and Its Role in Near Future. arXiv
preprint arXiv:1804.01396.
Chen et al., 2020 ,Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review.
Mitchell, 2019
Dong et al., 2020; Limna, 2022 , Dong, Y., Hou, J., Zhang, N., & Zhang, M. (2020). Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence. Complexity, 2020, 1680845, 1-10.
Li, J., Cheng, H., Guo, H., & Qiu, S. (2018). Survey on Artificial Intelligence for Vehicles. Automotive Innovation, 1(1), 2-14.
Limna, P. (2022). Artificial Intelligence (AI) in the Hospitality Industry: A Review Article.
International Journal of Computing Sciences Research, 6.
Makridakis, 2017 , Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 90, 46-60.
Limna, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The Role of Big Data Analytics in Influencing Artificial Intelligence (AI) Adoption for Coffee Shops in Krabi, Thailand. International Journal of Behavioral Analytics, 1(2), 1-17.
Ouyang, F., & Jiao, P. (2021). Artificial Intelligence in Education: The Three Paradigms. Computers and Education: Artificial Intelligence, 2, 100020.
Alam, 2021 , Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), pp. 1-8. IEEE
Hwang, 2014. Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001.
Chen et al., 2022 ,Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society, 25(1), 28-47.
Luan et al., 2020 , Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S.J., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.C. (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology, 11, 580820
Hwang et al., 2020; Yufeia et al., 2020, Yufeia et al., 2020, L., Salehb, S., Jiahuic, H., & Syed, S. M. (2020). Review of the Application of Artificial Intelligence in Education. Integration (Amsterdam), 12(8), 1-15
Holstein et al., 2019; Peters, 2019). Holstein, K., McLaren, B. M., & Aleven, V. (2019). Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms. International Conference on Artificial Intelligence in Education, 157-171
Yufeia et al., 2020, L., Salehb, S., Jiahuic, H., & Syed, S. M. (2020). Review of the Application of Artificial
Intelligence in Education. Integration (Amsterdam), 12(8), 1-15.
Kose, 2014 , Kose, U. (2014). Artificial Intelligence Applications in Distance Education. IGI Global
Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. IFIP International
Workshop on Artificial Intelligence for Knowledge Management, pp. 37-58.
Akgun & Greenhow, 2021; Miao et al., 2021 , Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431–440.
Kim, N. Y., Cha, Y., & Kim, H. S. (2019). Future English Learning: Chatbots and Artificial Intelligence. Multimedia-Assisted Language Learning, 22(3), 32-53.
Akgun & Greenhow, 2021, Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431–440.
Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. IFIP International Workshop on Artificial Intelligence for Knowledge Management, pp. 37-58.
Tong-On et al., 2022, Tong-On, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The implementation of business intelligence using data analytics and its effects towards on performance in the hotel , industry in Thailand. International Journal of Behavioral Analytics, 1(2), 1-16.
SAGE Internet Research Methods, 2019
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