The Role of AI Technology in Improving Education Efficiency and Budget on Education Quality: A Review

Authors

  • Sujatmiko Baliarto
  • Henky Hendrawan Sekolah Tinggi Ilmu Ekonomi Gici
  • Sutikno Slamet Sekolah Tinggi Ilmu Administrasi Menarasiswa

Keywords:

Artificial intelligence,, Technology,, Education Budget,, Quality of Education,

Abstract

Artificial intelligence technology has penetrated various aspects of life and organization, including the field of education. The purpose of this study is to see how the role of artificial intelligence (AI) technology in increasing efficiency and education budgets towards the quality of education. This study was conducted by reviewing various literatures recorded in sciencedirect and conducting a systematic review or systematic literature review (SLR). The data reviewed were 361 literatures and processed using PRISMA, 6 literatures were obtained. The results of this study are that artificial intelligence (AI) technology can increase efficiency and education budgets towards the quality of education.

References

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: a systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-019-0176-8

Chakraborty, S., & Liebel, G. (2022). Modelling Guidance in Software Engineering: A Systematic Literature Review. http://arxiv.org/abs/2206.06724

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Collin, A., & Halverson, R. (2009). Rethinking education in the age of technology: the digital revolution and the schools. https://www.researchgate.net/publication/264869053

Grant, C. (2017). The Contribution of Education to Economic Growth. K4D Helpdesk Report. Brighton, UK: Institute of Development Studies. https://assets.publishing.service.gov.uk/media/5b9b87f340f0b67896977bae/K4D_HDR_The_Contribution_of_Education_to_Economic_Growth_Final.pdf

Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews, 18(2), e1230. https://doi.org/https://doi.org/10.1002/cl2.1230

Holmes, W., & Luckin, R. (2016). Intelligence Unleashed: An argument for AI in Education. https://www.researchgate.net/publication/299561597

Iweuno, B. N., Orekha, P., Ojediran, O., Imohimi, E., & Adu-Twun, H. T. (2024). Leveraging Artificial Intelligence for an inclusive and diversified curriculum. World Journal of Advanced Research and Reviews, 23(2), 1579–1590. https://doi.org/10.30574/wjarr.2024.23.2.2440

Kitchenham, B., Pretorius, R., Budgen, D., Brereton, O. P., Turner, M., Niazi, M., & Linkman, S. (2010). Systematic literature reviews in software engineering-A tertiary study. Information and Software Technology, 52(8), 792–805. https://doi.org/10.1016/j.infsof.2010.03.006

Kolluru, V., Mungara, S., & Chintakunta, A. N. (2018). Adaptive Learning Systems: Harnessing AI for Customized Educational Experiences. International Journal of Computational Science and Information Technology, 6(3), 13–26. https://doi.org/10.5121/ijcsity.2018.6302

Muhammad Tahir, Farha Deeba Hassan, & Mudasir Rahim Shagoo. (2024). Role of artificial intelligence in education: A conceptual review. World Journal of Advanced Research and Reviews, 22(1), 1469–1475. https://doi.org/10.30574/wjarr.2024.22.1.1217

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

Pedro, F., & Subosa, M. (2019). Challenges and Opportunities for Sustainable Development Education Sector United Nations Educational, Scientific and Cultural Organization. https://en.unesco.org/themes/education-policy-

Peixoto, B., Pinto, R., Melo, M., Cabral, L., & Bessa, M. (2021). Immersive virtual reality for foreign language education: A PRISMA systematic review. IEEE Access, 9, 48952–48962. https://doi.org/10.1109/ACCESS.2021.3068858

Spanjol, J., Rosa, A., Schirrmeister, E., Dahl, P., Domnik, D., Lindner, M., de la Cruz, M., & Kuhlmann, J. F. (2023). The potential of futures literacy for impact-oriented business schools. Futures, 146. https://doi.org/10.1016/j.futures.2022.103084

Suherman, J., Najmul Hidayat, A., Dede Khoeriah, N., & Saeful Insan, H. (2022). Budget-Based Education Financing Management (Case Study at Indonesian College of Logistics Management, Pos Indonesia Polytechnic and Ma’soem University in Bandung). Journal of Islamicate Studies, 5, 13. https://doi.org/10.32506/jois.v5i1.721

Vir Singh, S., & Kant Hiran, K. (2022). The Impact of AI on Teaching and Learning in Higher Education Technology. Journal of Higher Education Theory and Practice, 22(13), 135.

Yusop, S. R. M., Rasul, M. S., Yasin, R. M., Hashim, H. U., & Jalaludin, N. A. (2022). An Assessment Approaches and Learning Outcomes in Technical and Vocational Education: A Systematic Review Using PRISMA. Sustainability (Switzerland), 14(9). https://doi.org/10.3390/su14095225

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? International Journal of Educational Technology in Higher Education, 16(1), 27. https://doi.org/10.1186/s41239-019-0171-0

Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. In Computers and Education: Artificial Intelligence (Vol. 2). Elsevier B.V. https://doi.org/10.1016/j.caeai.2021.100025

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Published

31.07.2025

How to Cite

Baliarto, S., Hendrawan, H., & Slamet, S. (2025). The Role of AI Technology in Improving Education Efficiency and Budget on Education Quality: A Review . The Youth Entrepreneur Management Journal, 1(1), 18–27. Retrieved from https://journal.stiegici.ac.id/index.php/yem/article/view/399

Issue

Vol. 1 No. 1 (2025): July

Section

Current Issue

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