Development and validation of a learning analytics rubric for self-regulated learning.
Saved in:
| Title: | Development and validation of a learning analytics rubric for self-regulated learning. |
|---|---|
| Authors: | de Barba, Paula G.1 (AUTHOR) paula.debarba@monash.edu, Oliveira, Eduardo Araujo2 (AUTHOR), English, Narelle2 (AUTHOR) |
| Source: | Educational Technology Research & Development. Oct2025, Vol. 73 Issue 5, p3223-3245. 23p. |
| Subject Terms: | *Self-regulated learning, *Scoring rubrics, *Higher education, *Student-centered learning, *Evaluation methodology, *Educational intervention |
| Abstract: | This study presents the development and validation of a Learning Analytics Rubric for Self-Regulated Learning (SRL) in higher education. The rubric aims to measure students' SRL processes within learning management systems (LMS) in a scalable, consistent, and explainable manner. The research follows a design-based approach, mapping validated SRL scales to LMS data indicators, developing the rubric for a Canvas LMS, and validating it with postgraduate students. The study identifies challenges in measuring SRL, such as the dynamic nature of SRL and the limitations of translating traditional self-report methods to digital environments. By leveraging learning analytics, the study proposes a novel approach to measure SRL behaviors using LMS data. The validation process reveals that five of the seven indicators accurately reflect students' SRL skills, with strong alignment between student self-assessments and system-generated scores for indicators related to reviewing content, integrating information from multiple sources, following study schedules, pacing learning, and reading assessment instructions. However, significant discrepancies were observed in indicators measuring completion of extra activities and early semester engagement with the LMS, highlighting the need for further refinement. The findings suggest that integrating learning analytics with rubrics can provide valuable insights into students' learning processes, particularly measuring SRL, while supporting the development of effective educational interventions from a student-centered approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 189592943 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Development and validation of a learning analytics rubric for self-regulated learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22de+Barba%2C+Paula+G%2E%22">de Barba, Paula G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> paula.debarba@monash.edu</i><br /><searchLink fieldCode="AR" term="%22Oliveira%2C+Eduardo+Araujo%22">Oliveira, Eduardo Araujo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22English%2C+Narelle%22">English, Narelle</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Technology+Research+%26+Development%22">Educational Technology Research & Development</searchLink>. Oct2025, Vol. 73 Issue 5, p3223-3245. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Self-regulated+learning%22">Self-regulated learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Scoring+rubrics%22">Scoring rubrics</searchLink><br />*<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br />*<searchLink fieldCode="DE" term="%22Student-centered+learning%22">Student-centered learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+intervention%22">Educational intervention</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study presents the development and validation of a Learning Analytics Rubric for Self-Regulated Learning (SRL) in higher education. The rubric aims to measure students' SRL processes within learning management systems (LMS) in a scalable, consistent, and explainable manner. The research follows a design-based approach, mapping validated SRL scales to LMS data indicators, developing the rubric for a Canvas LMS, and validating it with postgraduate students. The study identifies challenges in measuring SRL, such as the dynamic nature of SRL and the limitations of translating traditional self-report methods to digital environments. By leveraging learning analytics, the study proposes a novel approach to measure SRL behaviors using LMS data. The validation process reveals that five of the seven indicators accurately reflect students' SRL skills, with strong alignment between student self-assessments and system-generated scores for indicators related to reviewing content, integrating information from multiple sources, following study schedules, pacing learning, and reading assessment instructions. However, significant discrepancies were observed in indicators measuring completion of extra activities and early semester engagement with the LMS, highlighting the need for further refinement. The findings suggest that integrating learning analytics with rubrics can provide valuable insights into students' learning processes, particularly measuring SRL, while supporting the development of effective educational interventions from a student-centered approach. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=189592943 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11423-025-10521-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 3223 Subjects: – SubjectFull: Self-regulated learning Type: general – SubjectFull: Scoring rubrics Type: general – SubjectFull: Higher education Type: general – SubjectFull: Student-centered learning Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: Educational intervention Type: general Titles: – TitleFull: Development and validation of a learning analytics rubric for self-regulated learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: de Barba, Paula G. – PersonEntity: Name: NameFull: Oliveira, Eduardo Araujo – PersonEntity: Name: NameFull: English, Narelle IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10421629 Numbering: – Type: volume Value: 73 – Type: issue Value: 5 Titles: – TitleFull: Educational Technology Research & Development Type: main |
| ResultId | 1 |
