The State of Education and Artificial Intelligence After the Pandemic

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  • Ibrahim Eren Bisen Rice University
  • Fatih Nalcaci Texas A&M
  • Sriram Alagappan University of Texas
  • Yetkin Yildirim Rice University



education, artificial intelligence, machine learning, intelligent tutoring systems, Chat-bots, dynamic schedules, automated grading, I-it, I-thou, educational data, learning management systems, emergency online learning, remote learning, personalized learning


The neologism of artificial intelligence and machine learning brought a myriad of conveniences and advantages into the education sector. These new and improved technologies have the potential to be the remedies to the predicaments that have emerged from the rapid transition into online learning and the problems that have existed with traditional learning. These predicaments vary from personalized learning experiences, administrative busy works, to increased overall student interaction. This article explores how artificial intelligence became the new normal in education and the recently revealed benefits of artificial intelligence and machine learning in developing automated solutions to these predicaments such as Intelligent Tutoring Systems (ITS), dynamic schedules, automated grading, and increased personalized student interaction through chat-bots. Along with these solutions, some of the economical advancements that these technologies will bring include new research and investments in AI development, data collection and understanding, and increased jobs. These advancements are on a massive scale and will need to be addressed. By accommodating our resources into the advancements in this area we can make our education more versatile, engaging, and inclusive.


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How to Cite

Bisen, I. E. ., Nalcaci, F. ., Alagappan, S. ., & Yildirim, Y. . (2021). The State of Education and Artificial Intelligence After the Pandemic. London Journal of Social Sciences, (1), 88–98.




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