Using Survival Analysis to Identify Populations of Learners at Risk of Withdrawal: Conceptualization and Impact of Demographics
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| Title: | Using Survival Analysis to Identify Populations of Learners at Risk of Withdrawal: Conceptualization and Impact of Demographics |
|---|---|
| Language: | English |
| Authors: | Martínez-Carrascal, Juan Antonio, Hlosta, Martin, Sancho-Vinuesa, Teresa |
| Source: | International Review of Research in Open and Distributed Learning. Feb 2023 24(1):1-21. |
| Availability: | Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | College Students, Online Courses, Withdrawal (Education), At Risk Persons, Student Characteristics, Intervention, Low Income Students, Students with Disabilities, Dropout Characteristics, Distance Education, Electronic Learning, Academic Persistence |
| ISSN: | 1492-3831 |
| Abstract: | High dropout rates constitute a major concern for higher education institutions, due to their economic and academic impact. The problem is particularly relevant for institutions offering online courses, where withdrawal ratios are reported to be higher. Both the impact and these high rates motivate the implementation of interventions oriented to reduce course withdrawal and overall institutional dropout. In this paper, we address the identification of populations of learners at risk of withdrawing from higher education online courses. This identification is oriented to design interventions and is carried out using survival analysis. We demonstrate that the method's longitudinal approach is particularly suited for this purpose and provides a clear view of risk differences among learner populations. Additionally, the method quantifies the impact of underlying factors, either alone or in combination. Our practical implementation used an open dataset provided by The Open University. It includes data from more than 30,000 students enrolled in different courses. We conclude that low-income students and those who report a disability comprise risk groups and are thus feasible intervention targets. The survival curves also reveal differences among courses and show the detrimental effect of early dropout on low-income students, worsened throughout the course for disabled students. Intervention strategies are proposed as a result of these findings. Extending the entire refund period and giving greater academic support to students who report disability are two proposed strategies for reducing course withdrawal. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1380308 |
| Database: | ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1380308 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Survival Analysis to Identify Populations of Learners at Risk of Withdrawal: Conceptualization and Impact of Demographics – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Martínez-Carrascal%2C+Juan+Antonio%22">Martínez-Carrascal, Juan Antonio</searchLink><br /><searchLink fieldCode="AR" term="%22Hlosta%2C+Martin%22">Hlosta, Martin</searchLink><br /><searchLink fieldCode="AR" term="%22Sancho-Vinuesa%2C+Teresa%22">Sancho-Vinuesa, Teresa</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Review+of+Research+in+Open+and+Distributed+Learning%22"><i>International Review of Research in Open and Distributed Learning</i></searchLink>. Feb 2023 24(1):1-21. – Name: Avail Label: Availability Group: Avail Data: Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 21 – Name: DatePubCY Label: Publication Date Group: Date Data: 2023 – 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="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Online+Courses%22">Online Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Withdrawal+%28Education%29%22">Withdrawal (Education)</searchLink><br /><searchLink fieldCode="DE" term="%22At+Risk+Persons%22">At Risk Persons</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Characteristics%22">Student Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Low+Income+Students%22">Low Income Students</searchLink><br /><searchLink fieldCode="DE" term="%22Students+with+Disabilities%22">Students with Disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Dropout+Characteristics%22">Dropout Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+Education%22">Distance Education</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Persistence%22">Academic Persistence</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1492-3831 – Name: Abstract Label: Abstract Group: Ab Data: High dropout rates constitute a major concern for higher education institutions, due to their economic and academic impact. The problem is particularly relevant for institutions offering online courses, where withdrawal ratios are reported to be higher. Both the impact and these high rates motivate the implementation of interventions oriented to reduce course withdrawal and overall institutional dropout. In this paper, we address the identification of populations of learners at risk of withdrawing from higher education online courses. This identification is oriented to design interventions and is carried out using survival analysis. We demonstrate that the method's longitudinal approach is particularly suited for this purpose and provides a clear view of risk differences among learner populations. Additionally, the method quantifies the impact of underlying factors, either alone or in combination. Our practical implementation used an open dataset provided by The Open University. It includes data from more than 30,000 students enrolled in different courses. We conclude that low-income students and those who report a disability comprise risk groups and are thus feasible intervention targets. The survival curves also reveal differences among courses and show the detrimental effect of early dropout on low-income students, worsened throughout the course for disabled students. Intervention strategies are proposed as a result of these findings. Extending the entire refund period and giving greater academic support to students who report disability are two proposed strategies for reducing course withdrawal. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2023 – Name: AN Label: Accession Number Group: ID Data: EJ1380308 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1380308 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: College Students Type: general – SubjectFull: Online Courses Type: general – SubjectFull: Withdrawal (Education) Type: general – SubjectFull: At Risk Persons Type: general – SubjectFull: Student Characteristics Type: general – SubjectFull: Intervention Type: general – SubjectFull: Low Income Students Type: general – SubjectFull: Students with Disabilities Type: general – SubjectFull: Dropout Characteristics Type: general – SubjectFull: Distance Education Type: general – SubjectFull: Electronic Learning Type: general – SubjectFull: Academic Persistence Type: general Titles: – TitleFull: Using Survival Analysis to Identify Populations of Learners at Risk of Withdrawal: Conceptualization and Impact of Demographics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martínez-Carrascal, Juan Antonio – PersonEntity: Name: NameFull: Hlosta, Martin – PersonEntity: Name: NameFull: Sancho-Vinuesa, Teresa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1492-3831 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: International Review of Research in Open and Distributed Learning Type: main |
| ResultId | 1 |
