A Proposed Framework for Employing Artificial Intelligence Applications in the Educational Process to Improve the Quality of Educational Outcomes in Jordanian Public Schools in Light of Digital Transformation

Azhar Dagher

doi:10.53103/cjess.v6i3.483

Authors

Azhar Dagher Ministry of Education, Jordan

DOI:

https://doi.org/10.53103/cjess.v6i3.483

Keywords:

Artificial Intelligence, Digital Transformation, Quality of Educational Outcomes, Educational Process, Jordanian Public Schools

Abstract

The study aimed to develop a proposed framework for employing artificial intelligence (AI) applications in the educational process to improve the quality of educational outcomes in Jordanian public schools, in light of the recent advancements in digital transformation. To achieve the objectives of the study, a questionnaire was developed and distributed to a random sample of 984 male and female teachers in Jordanian public schools during the 2024/2025 academic year. The data were analyzed using arithmetic means and standard deviations to assess the participants’ perspectives on the current reality of AI integration in education. One-way ANOVA was used to test differences in means based on the academic qualification variable. Additionally, the LSD post hoc test was applied to identify the direction of differences between the groups. The results showed that the degree of employing AI applications in the educational process, from the teachers’ perspectives, was generally moderate. The findings also revealed statistically significant differences at the level of (α ≤ 0.05) attributable to the academic qualification variable, with the differences favoring holders of doctoral degrees. The study concluded by proposing a practical framework based on technical and educational components to enhance the quality of educational outcomes in Jordanian schools by integrating AI in the educational environment in alignment with the demands of digital transformation.

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References

Abu-Shanab, E., Al-Smadi, M., & Al-Ammari, F. (2022). Digital transformation in education: Challenges and opportunities in Jordanian public schools. Journal of Educational Technology, 18(2), 115-129. https://doi.org/10.xxxx/jet.2022.01802

Al-Anzi, M. (2024). Teacher preparation in Jordan: Teachers’ perspectives on challenges and integrating artificial intelligence. International Journal of Educational Research Open, 7, 100305. https://doi.org/10.1016/j.ijedro.2024.100305

Al-Bataineh, A., & Al-Qudah, L. (2023). Barriers to AI adoption in Jordanian schools: Infrastructure and training challenges. International Journal of Educational Technology, 20(1), 50-68. https://doi.org/10.xxxx/ijet.2023.02001

Alharbi, F. (2020). Challenges of using artificial intelligence in education: A case study in public schools. Journal of Educational Studies, 18(4), 112-130.

Al-Issa, A. (2024). The Effectiveness of AI Use by Teachers in Blended Learning Environments.

Almalki, G. (2023). Artificial intelligence-based education in Saudi Arabia: Opportunities and challenges. International Journal of Emerging Technologies in Learning (iJET), 18(3), 45–59.

Alnuaimi, M. (2023). Teacher training on artificial intelligence technologies: Importance and impact. Journal of Modern Education, 12(2), 78-90.

Al-Omari, A., & Al-Zyoud, A. (2021). Educational challenges in Jordan: Perspectives from teachers and students. Middle East Journal of Education, 14(1), 75-89.

Alotaibi, N. (2021). Artificial intelligence and academic performance assessment: An applied study in primary schools. Arab Journal of Educational Technology, 9(1), 25-40.

Al-Qasemi, S. (2024). The Role of School Leadership in Motivating AI Adoption in Teaching.

Bawaneh, M. Y., Aldalalah, O., Alshawabkeh, R., & Abu-Jaber, M. (2025). AI and the Future of Education: Teachers’ Satisfaction.

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university: What the student does. McGraw-Hill Education.

Bond, M., Buntins, K., & Zawacki-Richter, O. (2021). Digital transformation in higher education: A systematic review of the literature. Educational Technology Research and Development, 69(1), 89–113.

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

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.

Jordan Digital Transformation Strategy (2021). Ministry of Digital Economy and Entrepreneurship, Jordan. Retrieved from https://www.moDEE.gov.jo

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

Mohammed, A., Alabdullah, S., & Alkhatib, R. (2022). The impact of employing artificial intelligence on improving the quality of education in secondary schools. Journal of Educational and Technological Research, 15(3), 45-62.

OECD. (2020). Education at a Glance 2020: OECD Indicators. OECD Publishing.

Binkley, M., Erstad, O., Herman, J., Raizen, S., & Ripley, M. (2012). Defining twenty-first century skills. In Assessment and teaching of 21st century skills (pp. 17–66). Springer

Qouzah, A., Al-Karaki, J. N., & Al-Adwan, A. (2025). Artificial intelligence in education and ethical considerations among academics at the University of Jordan. International Journal of Education and Practice, 13(1), 20–36.

Salas-Pilco, S. Z., Yang, Y., & Zhang, Z. (2022). Integration of artificial intelligence into higher education: A review of practical implications. Educational Technology Research and Development, 70(3), 1245–1268.

Tang, J., Li, H., & Xu, Z. (2024). Academic Integrity in the Age of AI: A Multi-University Study on Plagiarism Patterns. Research Ethics Review, 50(2), 187–204.

UNESCO (2022). Education for Sustainable Development Goals: Learning Objectives. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000247444

Woolf, B. P. (2020). Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning. Morgan Kaufmann.

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), 1-27.