Artificial Intelligent: Positive And Negative Role in Education Management

Yayat Suharyat; Lusiana

Authors

Yayat Suharyat Universitas Islam 45 Bekasi
Lusiana Universitas Islam 45 Bekasi

Keywords:

Artificial Intelligence, Education Management

Abstract

Technology always has positive and negative effects. To minimize unwanted effects, work around this. The research aims to explore AI's positive and negative roles in Education management. The data collection technique is a literature study. Data analysis was carried out by identifying the benefits of AI in Education and its impact on the quality of education. The study results show that AI has a positive role in education management, such as presenting a more innovative learning process and speed in organizing and managing learning activities and increasing the quantity and quality of lecturers' scientific work. However, AI harms social interaction between pupils and teachers. It can potentially imprison the learning community (lecturers, teachers, students) in a state of convenience, undermining the critical thinking innovation it should have had thus far. This study found that AI improves schooling. It must be maintained to maintain learning citizens' social interaction and inventive thinking.

Downloads

Download data is not yet available.

References

Al-Ababneh, H. A., & Alrhaimi, S. A. S. (2020). Modern approaches to education management to ensure the quality of educational services. TEM Journal, 9(2). https://doi.org/10.18421/TEM92-46

Al-Husseini, S., El Beltagi, I., & Moizer, J. (2021). Transformational leadership and innovation: the mediating role of knowledge sharing amongst higher education faculty. International Journal of Leadership in Education, 24(5), 670–693. https://doi.org/10.1080/13603124.2019.1588381

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.2988510

Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. In Computers and Education: Artificial Intelligence (Vol. 1). https://doi.org/10.1016/j.caeai.2020.100002

Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Coppin, B. (2004). Artificial Intelligence Illuminated. Jones and Bartlett.

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Hernandez, D. L. , M. T. S. (2020). The Impact of Artificial Intelligence on Human Resource Management: A Systematic Review. Journal of Applied Human Resource Management, 6(3), 127–142.

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. https://doi.org/10.1016/j.caeai.2020.100001

Kot, T. (2019). Artificial Intelligence Techniques in Human Resource Planning. Scientific Journal of Silesian University of Technology. Series Organization and Management, 141(1), 103–112.

Lathuilière, S., Massé, B., Mesejo, P., & Horaud, R. (2019). Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction. Pattern Recognition Letters, 118. https://doi.org/10.1016/j.patrec.2018.05.023

Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing and Accountability Journal, 35(9). https://doi.org/10.1108/AAAJ-09-2020-4934

Li, J., Li, P., & Niu, W. (2020). Artificial intelligence applications in upper gastrointestinal cancers. In The Lancet Oncology (Vol. 21, Issue 1). https://doi.org/10.1016/S1470-2045(19)30721-1

Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4). https://doi.org/10.1037/a0037123

Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2019). Assessing the success behind the use of education management information systems in higher education. Telematics and Informatics, 38. https://doi.org/10.1016/j.tele.2018.10.001

Moses, S. , S. R. (2018). Automating Payroll with Artificial Intelligence: A Case Study in the Finance Industry. International Journal of Artificial Intelligence in Finance, 2(1), 23–35.

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Sauphayana, S. (2021). Innovation in higher education management and leadership. Journal of Educational and Social Research, 11(6). https://doi.org/10.36941/jesr-2021-0137

Steenbergen-Hu, S., & Cooper, H. (2014). A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of Educational Psychology, 106(2). https://doi.org/10.1037/a0034752

Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. In Nature Medicine (Vol. 25, Issue 1). https://doi.org/10.1038/s41591-018-0300-7

Tsai, Y. S., Poquet, O., Gašević, D., Dawson, S., & Pardo, A. (2019). Complexity leadership in learning analytics: Drivers, challenges and opportunities. British Journal of Educational Technology, 50(6). https://doi.org/10.1111/bjet.12846

Whitby, B. (2008). Artificial Intelligence: A beginner’s guide. Oxford, U.K.: Oneworld.

Wyk, C. V. A. N., Data, P., Integration, D., Identifiers, U., & Quality, D. (2015). An overview of Education data in South Africa: an inventory approach. An Overview of Key Datasets in Education in South Africa, 5(2).

Yoon, K. , L. J. , & P. Y. (2019). Artificial Intelligence in Decision Making: The Role of Human Values. Journal of Business Ethics, 159(1), 1–17.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? In International Journal of Educational Technology in Higher Education (Vol. 16, Issue 1). https://doi.org/10.1186/s41239-019-0171-0

Zhu, H. (2020). Big data and artificial intelligence modeling for drug discovery. In Annual Review of Pharmacology and Toxicology (Vol. 60). https://doi.org/10.1146/annurev-pharmtox-010919-023324