Reimagining Education with Artificial Intelligence

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  • Yetkin Yildirim Rice University
  • Emin Alp Arslan University of Texas at Austin
  • Kamil Yildirim Harmony Science Academy
  • Ibrahim Bisen University of Texas at Austin



artificial intelligence, machine learning, higher education, intelligent tutoring system, natural language processing, student engagement, administrative tasks, virtual assistants


Artificial intelligence (AI) technologies have been implemented successfully in many industries, from virtual hospital assistants to algorithm-based warehouse processing. And now that Covid-19 has forced students and teachers to transition to online or hybrid learning, these technologies could offer new and exciting possibilities for education as well. By incorporating AI and machine learning tools into online classrooms, educators can address many of the challenges that have emerged with the recent loss of face-to-face instruction, including the struggle for students to self-regulate their learning, the burden of curriculum planning and administrative work for teachers, and the loss of personalized interaction between students and teachers. This chapter will explore some of the AI technologies that have been used in educational contexts and describe applications of AI in other industries that could be adapted to create more personalized, flexible, inclusive, and engaging learning experiences. If the future of education is going to include online learning as a substantial component, then AI could be the key to maintaining high levels of motivation and engagement from students and teachers alike.


Artificial Intelligence Scheduling Software. ServiceMax. (n.d.).

Automated Essay Scoring: A Cross-disciplinary Perspective. (2003). United States: Taylor & Francis.

Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Diaz, V., & Pomerantz, J. (2018). Horizon Report 2018 higher education edition brought to you by EDUCAUSE (pp. 1-54). EDUCAUSE.

Bisen, I., Arslan, E., Yildirim, K., Yildirim Y. (2021). Artificial Intelligence and Machine Learning in Higher Education, Machine Learning Approaches for Improvising Modern Learning Systems (Advances in Educational Technologies and Instructional Design), 1-17.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: a review. IEEE Access, 8, 75264-75278.

CNN. AI set to exceed human brain power. (2006, August 9). Retrieved from

Copyleaks. Ai grading tool - online grade calculator for essays, tests. (n.d.). Retrieved from

Deci, E. L., Vallerand, R. J., Pelletier, L. G., & Ryan, R. M. (1991). Motivation and education: The self-determination perspective. Educational psychologist, 26(3-4), 325-346.

Du Boulay, B., Rebolledo-Mendez, G., Luckin, R., Martínez-Mirón, E., & Harris, A. (2007, June). Motivationally Intelligent Systems: Diagnosis and Feedback. In AIED (pp. 563-565).

Features Gallery. Schoolinks. (n.d.). Retrieved from

Grading Software/Gradescope. UMass Lowell. (n.d.). Retrieved from

Grawemeyer, B., Mavrikis, M., Holmes, W., & Gutierrez-Santos, S. (2015, June). Adapting feedback types according to students’ affective states. In International Conference on artificial intelligence in Education (pp. 586-590). Springer, Cham.

Guilherme, A. (2019). AI and education: the importance of teacher and student relations. Ai & Society, 34(1), 47-54.

Hill, P. W., & Barber, M. (2014). Preparing for a renaissance in assessment. London: Pearson.

Holmes, W., Anastopoulou, S., Schaumburg, H., & Mavrikis, M. (2018). Technology-enhanced personalised learning: Untangling the evidence.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Boston: Center for Curriculum Redesign.

Holstein, K., McLaren, B. M., & Aleven, V. (2018, June). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In International conference on artificial intelligence in education (pp. 154-168). Springer, Cham.

Hussain, M., Zhu, W., Zhang, W., & Abidi, S. M. R. (2018). Student engagement predictions in an e-learning system and their impact on student course assessment scores. Computational intelligence and neuroscience, 2018.

Kim, J., Merrill, K., Xu, K., & Sellnow, D. D. (2020). My teacher is a machine: Understanding students’ perceptions of AI teaching assistants in online education. International Journal of Human–Computer Interaction, 36(20), 1902-1911.

Kose, H., Kalanee, I., Yildirim, Y., Recovering Higher Education During and After the Pandemic, Chapter 2, Handbook of Researcher on Future of Work and Education: Implications for Curriculum Delivery and Work Design, (2021), 14-26.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education.

Lynch, L. (2021, February 04). 4 ways machine learning can improve online education. Retrieved from

Lynch, M. (2018, September 14). Smart seating Charts: The key to better student performance? The Tech Edvocate.

Murphy, R. F. (2019). Artificial intelligence Applications to Support K-12 Teachers and Teaching. A Review of Promising Applications, Opportunities and Challenges, and Risks. Rand Corporation.

O'Brien, B. (2002). Online student retention: can it be done? (pp. 1479-1483). Association for the Advancement of Computing in Education (AACE).

Ryan, P., Luz, S., Albert, P., Vogel, C., Normand, C., & Elwyn, G. (2019). Using artificial intelligence to assess clinicians’ communication skills. Bmj, 364.

Sharma, K., Giannakos, M., & Dillenbourg, P. (2020). Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments, 7, 1-19.

Soloviev, V. (2018). Machine learning approach for student engagement automatic recognition from facial expressions. Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics, 10(2), 79-86.

Soohoo, S. (2020, November). Artificial intelligence spending quick Look: U.S. buying behavior by industry, company size, and LOB Versus it, 2020. Retrieved from

Swan, K. (2002). Building learning communities in online courses: The importance of interaction. Education, Communication & Information, 2(1), 23-49.

Teke, A., Cengiz, E., Çetin, M., Demir, C., Kirkbir, F., & Fedai, T. (2012). Analysis of the multi-item dimensionality of patients’ perceived value in hospital services. Journal of medical systems, 36(3), 1301-1307.

Thomas. (2020, August 17). Natural language processing is changing these 5 industries. Retrieved from

Tortop, H. S. (2015). A comparison of gifted and non-gifted students’ self-regulation skills for science learning. Journal for the Education of Gifted Young Scientists, 3(1), 42-57.

True Interaction. (n.d.). AI and the Classroom: Machine Learning in Education. True. https:/

Wong, C. W., Tsai, A., Jonas, J. B., Ohno-Matsui, K., Chen, J., Ang, M., & Ting, D. S. W. (2021). Digital Screen Time During the Covid-19 Pandemic: Risk for a Further Myopia Boom?. American journal of ophthalmology, 223, 333-337.




How to Cite

Yildirim, Y., Arslan, E. A. ., Yildirim, K., & Bisen, I. (2021). Reimagining Education with Artificial Intelligence. Eurasian Journal of Higher Education, (4), 32–46.