Artificial Intelligence and Machine Learning in Higher Education
Machine Learning Approaches for Improvising Modern Learning Systems
; : 1-17, 2021.
Article
in English
| Web of Science | ID: covidwho-2040809
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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Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
Machine Learning Approaches for Improvising Modern Learning Systems
Year:
2021
Document Type:
Article
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