Artificial Intelligence and Machine Learning in Higher Education

Machine Learning Approaches for Improvising Modern Learning Systems Pub Date : 1900-01-01 DOI:10.4018/978-1-7998-5009-0.CH001

I. Bisen, Emin A. Arslan, Kamil Yıldırım, Yetkin Yildirim

引用次数: 3

Abstract

Artificial intelligence and machine learning have the potential to address many of the problems that have emerged in higher education due the rapid and haphazard transition to online learning brought about by the coronavirus pandemic. These problems include students' struggle to self-regulate their learning, the increase in curriculum planning and administrative workload for teachers, and the loss of personalized interaction between students and teachers. This chapter explores how artificial intelligence can be used to help students and teachers to adapt to the new realities of online learning, and how these technologies could further transform higher education in the future. By providing more personalized, flexible, inclusive, and engaging learning experiences, artificial intelligence has the potential to re-invigorate students and teachers both and to make virtual classrooms more meaningful and productive.

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高等教育中的人工智能和机器学习

人工智能和机器学习有潜力解决高等教育中出现的许多问题，这些问题是由于冠状病毒大流行带来的向在线学习的快速和随意过渡造成的。这些问题包括学生难以自我调节学习，课程规划和教师管理工作量增加，学生与教师之间缺乏个性化互动。本章探讨了如何利用人工智能来帮助学生和教师适应在线学习的新现实，以及这些技术如何进一步改变未来的高等教育。通过提供更加个性化、灵活、包容和吸引人的学习体验，人工智能有可能重振学生和教师的活力，使虚拟课堂更有意义、更有成效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine Learning Approaches for Improvising Modern Learning Systems

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