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Students’ Attitude Towards the Use of Artificial Intelligence and Machine Learning to Measure Classroom Engagement Activities
PROCEEDING
Caroline Kairu, University of North Texas, United States
EdMedia + Innovate Learning, in Online, The Netherlands ISBN 978-1-939797-50-6 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Artificial intelligence (AI) has experienced major progress in recent years and represents an emerging technology which can be of important in the education sector and in the health industry. This technology has already been introduced in the field of higher education, although many teachers are unaware of its scope. The purpose of the study is to evaluate students’ view of AI in classroom engagement evaluation in higher education. A total of 385 students (217 female and 168 male) responded to the online survey. 39.06% agree that AI will have positive influence in education and 49.48 % agree that AI will influence learning. Some respondents believed that AI can be used to track student progress (35.79%), improve teacher-student interactions (47.78%) and measure classroom engagement (55.21%). We conclude that although artificial intelligence is a reality, its application in higher education has not been fully consolidated and evaluated to utilize its benefits.
Citation
Kairu, C. (2020). Students’ Attitude Towards the Use of Artificial Intelligence and Machine Learning to Measure Classroom Engagement Activities. In Proceedings of EdMedia + Innovate Learning (pp. 793-802). Online, The Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved August 31, 2024 from https://www.learntechlib.org/primary/p/217382/.
© 2020 Association for the Advancement of Computing in Education (AACE)
Video
Slides
- presentation_3109_57896.pdf (Access with Subscription)
- Students Attitude Towards use of Artificial Intelligence and Machine Learning in Classroom Engagement - Presentation 2.pdf (Access with Subscription)