Investigating course choice motivations in university environments

Abstract Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. H...

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Autores principales:	Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Course recommendation University environment Student motivation Course selection Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/a8d8224f1094434fa9f2b865b698efd7
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spelling	oai:doaj.org-article:a8d8224f1094434fa9f2b865b698efd72021-11-28T12:04:13ZInvestigating course choice motivations in university environments10.1186/s40561-021-00177-42196-7091https://doaj.org/article/a8d8224f1094434fa9f2b865b698efd72021-11-01T00:00:00Zhttps://doi.org/10.1186/s40561-021-00177-4https://doaj.org/toc/2196-7091Abstract Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation exist, studies on the students’ course selection motivations in universities are limited. This study investigates the factors that contribute to students’ choice when selecting courses in universities to better understand student perceptions, attitudes, and needs and leverage data-driven approaches for recommending and explaining the recommendations in university environments. A qualitative interview for university students (N = 10) comprised of open-ended questions as well as a questionnaire for students (N = 81) was conducted, aiming to investigate the main reasons behind their choices. The results of this study show that students highly value the course contents and the benefits of the course towards their future careers. Furthermore, students are influenced by other reasons such as the possibility of obtaining a higher grade, the popularity of professors, and recommendations from peers. Next, we extract the main categories of students’ motivations and analyzed the questionnaire data by employing statistical analysis methods as well as the k-means clustering algorithm to identify different types of students in terms of course selection. Based on our findings, we discuss implications for designing more personalized course recommendation systems.Boxuan MaMin LuYuta TaniguchiShin’ichi KonomiSpringerOpenarticleCourse recommendationUniversity environmentStudent motivationCourse selectionSpecial aspects of educationLC8-6691ENSmart Learning Environments, Vol 8, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Course recommendation University environment Student motivation Course selection Special aspects of education LC8-6691
spellingShingle	Course recommendation University environment Student motivation Course selection Special aspects of education LC8-6691 Boxuan Ma Min Lu Yuta Taniguchi Shin’ichi Konomi Investigating course choice motivations in university environments
description	Abstract Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation exist, studies on the students’ course selection motivations in universities are limited. This study investigates the factors that contribute to students’ choice when selecting courses in universities to better understand student perceptions, attitudes, and needs and leverage data-driven approaches for recommending and explaining the recommendations in university environments. A qualitative interview for university students (N = 10) comprised of open-ended questions as well as a questionnaire for students (N = 81) was conducted, aiming to investigate the main reasons behind their choices. The results of this study show that students highly value the course contents and the benefits of the course towards their future careers. Furthermore, students are influenced by other reasons such as the possibility of obtaining a higher grade, the popularity of professors, and recommendations from peers. Next, we extract the main categories of students’ motivations and analyzed the questionnaire data by employing statistical analysis methods as well as the k-means clustering algorithm to identify different types of students in terms of course selection. Based on our findings, we discuss implications for designing more personalized course recommendation systems.
format	article
author	Boxuan Ma Min Lu Yuta Taniguchi Shin’ichi Konomi
author_facet	Boxuan Ma Min Lu Yuta Taniguchi Shin’ichi Konomi
author_sort	Boxuan Ma
title	Investigating course choice motivations in university environments
title_short	Investigating course choice motivations in university environments
title_full	Investigating course choice motivations in university environments
title_fullStr	Investigating course choice motivations in university environments
title_full_unstemmed	Investigating course choice motivations in university environments
title_sort	investigating course choice motivations in university environments
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/a8d8224f1094434fa9f2b865b698efd7
work_keys_str_mv	AT boxuanma investigatingcoursechoicemotivationsinuniversityenvironments AT minlu investigatingcoursechoicemotivationsinuniversityenvironments AT yutataniguchi investigatingcoursechoicemotivationsinuniversityenvironments AT shinichikonomi investigatingcoursechoicemotivationsinuniversityenvironments
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Investigating course choice motivations in university environments

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