Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally?
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| Title: | Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? |
|---|---|
| Language: | English |
| Authors: | Aylin Ozturk, Robin Schmucker, Tom Mitchell, Alper Tolga Kumtepe |
| Source: | International Educational Data Mining Society. 2025. |
| Availability: | International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/ |
| Peer Reviewed: | Y |
| Page Count: | 9 |
| Publication Date: | 2025 |
| Document Type: | Speeches/Meeting Papers Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Learning Analytics, Learning Management Systems, Feedback (Response), Grades (Scholastic), Online Courses, Intervention, Gender Differences, Age Differences, Academic Achievement, Student Characteristics, Undergraduate Students, Foreign Countries |
| Geographic Terms: | Turkey |
| Abstract: | This study investigates the heterogeneity in the effects of a Learning Analytics Dashboard (LAD) intervention, which provides personalized feedback messages, across a diverse population of learners. Specifically, it evaluates the impact of the LAD on learners' total material usage and final grades, considering variables such as age, sex, prior material access level, prior academic performance, and first-year status. The intervention was implemented through a controlled experimental design with 26,753 learners over 17 weeks in a fully online course. Participants were randomly assigned to either the experimental (n = 13,377) or control (n =13,376) groups. Results indicate significant heterogeneity in the effects of the LAD intervention within the online learning environment. The LAD improved learning material usage and academic performance, with factors such as sex, age, prior course material access, and prior academic performance moderating these effects. Female learners, older learners, and those with low prior academic performance benefited more from the intervention. This suggests that personalized learning analytics tools can enhance engagement and outcomes for specific learner subgroups, reinforcing the need for targeted interventions in online education. [For the complete proceedings, see ED675583.] |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | ED675597 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED675597 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aylin+Ozturk%22">Aylin Ozturk</searchLink><br /><searchLink fieldCode="AR" term="%22Robin+Schmucker%22">Robin Schmucker</searchLink><br /><searchLink fieldCode="AR" term="%22Tom+Mitchell%22">Tom Mitchell</searchLink><br /><searchLink fieldCode="AR" term="%22Alper+Tolga+Kumtepe%22">Alper Tolga Kumtepe</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Educational+Data+Mining+Society%22"><i>International Educational Data Mining Society</i></searchLink>. 2025. – Name: Avail Label: Availability Group: Avail Data: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 9 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Speeches/Meeting Papers<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="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Management+Systems%22">Learning Management Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Grades+%28Scholastic%29%22">Grades (Scholastic)</searchLink><br /><searchLink fieldCode="DE" term="%22Online+Courses%22">Online Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Age+Differences%22">Age Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Characteristics%22">Student Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Turkey%22">Turkey</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study investigates the heterogeneity in the effects of a Learning Analytics Dashboard (LAD) intervention, which provides personalized feedback messages, across a diverse population of learners. Specifically, it evaluates the impact of the LAD on learners' total material usage and final grades, considering variables such as age, sex, prior material access level, prior academic performance, and first-year status. The intervention was implemented through a controlled experimental design with 26,753 learners over 17 weeks in a fully online course. Participants were randomly assigned to either the experimental (n = 13,377) or control (n =13,376) groups. Results indicate significant heterogeneity in the effects of the LAD intervention within the online learning environment. The LAD improved learning material usage and academic performance, with factors such as sex, age, prior course material access, and prior academic performance moderating these effects. Female learners, older learners, and those with low prior academic performance benefited more from the intervention. This suggests that personalized learning analytics tools can enhance engagement and outcomes for specific learner subgroups, reinforcing the need for targeted interventions in online education. [For the complete proceedings, see ED675583.] – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: ED675597 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 9 Subjects: – SubjectFull: Learning Analytics Type: general – SubjectFull: Learning Management Systems Type: general – SubjectFull: Feedback (Response) Type: general – SubjectFull: Grades (Scholastic) Type: general – SubjectFull: Online Courses Type: general – SubjectFull: Intervention Type: general – SubjectFull: Gender Differences Type: general – SubjectFull: Age Differences Type: general – SubjectFull: Academic Achievement Type: general – SubjectFull: Student Characteristics Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Turkey Type: general Titles: – TitleFull: Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aylin Ozturk – PersonEntity: Name: NameFull: Robin Schmucker – PersonEntity: Name: NameFull: Tom Mitchell – PersonEntity: Name: NameFull: Alper Tolga Kumtepe IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Type: published Y: 2025 Titles: – TitleFull: International Educational Data Mining Society Type: main |
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