CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments
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| Title: | CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments |
|---|---|
| Language: | English |
| Authors: | Ma, Boxuan (ORCID |
| Source: | Research and Practice in Technology Enhanced Learning. 2021 16. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | N |
| Page Count: | 24 |
| Publication Date: | 2021 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Universities, College Students, Course Selection (Students), Visualization, Interaction, Computer Interfaces, Educational Technology |
| DOI: | 10.1186/s41039-021-00167-7 |
| ISSN: | 1793-7078 |
| Abstract: | The abundance of courses available in a university often overwhelms students as they must select courses that are relevant to their academic interests and satisfy their requirements. A large number of existing studies in course recommendation systems focus on the accuracy of prediction to show students the most relevant courses with little consideration on interactivity and user perception. However, recent work has highlighted the importance of user-perceived aspects of recommendation systems, such as transparency, controllability, and user satisfaction. This paper introduces CourseQ, an interactive course recommendation system that allows students to explore courses by using a novel visual interface so as to improve transparency and user satisfaction of course recommendations. We describe the design concepts, interactions, and algorithm of the proposed system. A within-subject user study (N=32) was conducted to evaluate our system compared to a baseline interface without the proposed interactive visualization. The evaluation results show that our system improves many user-centric metrics including user acceptance and understanding of the recommendation results. Furthermore, our analysis of user interaction behaviors in the system indicates that CourseQ could help different users with their course-seeking tasks. Our results and discussions highlight the impact of visual and interactive features in course recommendation systems and inform the design of future recommendation systems for higher education. |
| Abstractor: | As Provided |
| Entry Date: | 2021 |
| Accession Number: | EJ1300544 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Boxuan%22">Ma, Boxuan</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1566-880X">0000-0002-1566-880X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Min%22">Lu, Min</searchLink><br /><searchLink fieldCode="AR" term="%22Taniguchi%2C+Yuta%22">Taniguchi, Yuta</searchLink><br /><searchLink fieldCode="AR" term="%22Konomi%2C+Shin'ichi%22">Konomi, Shin'ichi</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Research+and+Practice+in+Technology+Enhanced+Learning%22"><i>Research and Practice in Technology Enhanced Learning</i></searchLink>. 2021 16. – Name: Avail Label: Availability Group: Avail Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 24 – Name: DatePubCY Label: Publication Date Group: Date Data: 2021 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Course+Selection+%28Students%29%22">Course Selection (Students)</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Interaction%22">Interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Interfaces%22">Computer Interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1186/s41039-021-00167-7 – Name: ISSN Label: ISSN Group: ISSN Data: 1793-7078 – Name: Abstract Label: Abstract Group: Ab Data: The abundance of courses available in a university often overwhelms students as they must select courses that are relevant to their academic interests and satisfy their requirements. A large number of existing studies in course recommendation systems focus on the accuracy of prediction to show students the most relevant courses with little consideration on interactivity and user perception. However, recent work has highlighted the importance of user-perceived aspects of recommendation systems, such as transparency, controllability, and user satisfaction. This paper introduces CourseQ, an interactive course recommendation system that allows students to explore courses by using a novel visual interface so as to improve transparency and user satisfaction of course recommendations. We describe the design concepts, interactions, and algorithm of the proposed system. A within-subject user study (N=32) was conducted to evaluate our system compared to a baseline interface without the proposed interactive visualization. The evaluation results show that our system improves many user-centric metrics including user acceptance and understanding of the recommendation results. Furthermore, our analysis of user interaction behaviors in the system indicates that CourseQ could help different users with their course-seeking tasks. Our results and discussions highlight the impact of visual and interactive features in course recommendation systems and inform the design of future recommendation systems for higher education. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2021 – Name: AN Label: Accession Number Group: ID Data: EJ1300544 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1300544 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s41039-021-00167-7 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 24 Subjects: – SubjectFull: Universities Type: general – SubjectFull: College Students Type: general – SubjectFull: Course Selection (Students) Type: general – SubjectFull: Visualization Type: general – SubjectFull: Interaction Type: general – SubjectFull: Computer Interfaces Type: general – SubjectFull: Educational Technology Type: general Titles: – TitleFull: CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Boxuan – PersonEntity: Name: NameFull: Lu, Min – PersonEntity: Name: NameFull: Taniguchi, Yuta – PersonEntity: Name: NameFull: Konomi, Shin'ichi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1793-7078 Numbering: – Type: volume Value: 16 Titles: – TitleFull: Research and Practice in Technology Enhanced Learning Type: main |
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