@inproceedings{5059b821d33e4482b39b69b7f1b6bc58,
title = "A multi-dimensional analytics approach to course evaluation",
abstract = "This paper presents a multi-dimensional analytics approach to course evaluation to facilitate the monitoring and enhancement of teaching and learning quality. A course evaluation platform has been developed, which utilises data from student feedback surveys and course grades for various levels of data analysis to satisfy the diverse needs and interests of different stakeholders. The platform supports trend and pattern analyses regarding the dimensions of students' satisfaction and course grades across academic terms. By enabling users to find out efficiently and effectively the relationships between courses, instructors, student satisfaction, and course grades, the course evaluation platform facilitates users to gain insights and take suitable follow-up actions for course and teaching improvement.",
keywords = "course evaluation, higher education, learning analytics, multi-dimensional analysis, quality assurance, student satisfaction",
author = "Li, \{Kam Cheong\} and Wong, \{Billy T.M.\} and Mengjin Liu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 10th International Symposium on Educational Technology, ISET 2024 ; Conference date: 29-07-2024 Through 01-08-2024",
year = "2024",
doi = "10.1109/ISET61814.2024.00089",
language = "English",
series = "Proceedings - 2024 International Symposium on Educational Technology, ISET 2024",
pages = "421--424",
editor = "Chui, \{Kwok Tai\} and Hui, \{Yan Keung\} and Dingqi Yang and Lap-Kei Lee and Leung-Pun Wong and Reynolds, \{Barry Lee\}",
booktitle = "Proceedings - 2024 International Symposium on Educational Technology, ISET 2024",
}