Leveraging AI and Machine Learning for National Student Survey: Actionable Insights from Textual Feedback to Enhance Quality of Teaching and Learning in UK’s Higher Education

Leveraging AI and Machine Learning for National Student Survey: Actionable Insights from Textual Feedback to Enhance Quality of Teaching and Learning in UK’s Higher Education

Students’ evaluation of teaching, for instance, through feedback surveys, constitutes an integral mechanism for quality assurance and enhancement of teaching and learning in higher education. These surveys usually comprise both the Likert scale and free-text responses. Since the discrete Likert scal...

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Bibliographic Details
Main Authors: Raheel Nawaz, Quanbin Sun, Matthew Shardlow, Georgios Kontonatsios, Naif R. Aljohani, Anna Visvizi, Saeed-Ul Hassan
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
National Student Survey (NSS)
Education for Sustainable Development (EDS)
AI for education
higher education policy making
intervention strategies
Online Access:https://www.mdpi.com/2076-3417/12/1/514

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https://www.mdpi.com/2076-3417/12/1/514

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