Exploring the Link between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review
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| Title: | Exploring the Link between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review |
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| Language: | English |
| Authors: | Jelena N. Larsen (ORCID |
| Source: | Journal of Learning Analytics. 2025 12(1):215. |
| Availability: | Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index |
| Peer Reviewed: | Y |
| Page Count: | 28 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Literature Reviews, Learning Analytics, Instructional Design, Student Motivation, Independent Study, Evaluation Methods, Self Management, Meta Analysis, Learning Strategies |
| ISSN: | 1929-7750 |
| Abstract: | Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research increasingly shows that students can monitor and regulate their own motivation, significantly impacting their academic achievement. Based on the concept of motivational regulation (MR) as a context-dependent process, this systematic review aims to identify existing learning analytics research that examines the link between MR and LD as a key contextual factor. The findings reveal that: 1) there is a lack of consistency in how motivation is measured, operationalized, and applied within the learning analytics literature; 2) self-reporting through surveys remains the most common approach for measuring and operationalizing MR; 3) LD is primarily operationalized at the session and learning activity level, with descriptions focusing on pedagogical principles and strategies; and 4) most studies address the relation between motivational constructs and persistence or academic achievements by looking at variables such as performance or/and outcomes rather than the processes that influence motivational changes and the relationship between MR and LD. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1465544 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1465544 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1465544 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring the Link between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jelena+N%2E+Larsen%22">Jelena N. Larsen</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-4656-656X">0009-0007-4656-656X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Kine+M%2E+D%2E+Maxwell%22">Kine M. D. Maxwell</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0004-7091-6855">0009-0004-7091-6855</externalLink>)<br /><searchLink fieldCode="AR" term="%22Mohammad+Khalil%22">Mohammad Khalil</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6860-4404">0000-0002-6860-4404</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Learning+Analytics%22"><i>Journal of Learning Analytics</i></searchLink>. 2025 12(1):215. – Name: Avail Label: Availability Group: Avail Data: Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 28 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Information Analyses – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Literature+Reviews%22">Literature Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Motivation%22">Student Motivation</searchLink><br /><searchLink fieldCode="DE" term="%22Independent+Study%22">Independent Study</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Management%22">Self Management</searchLink><br /><searchLink fieldCode="DE" term="%22Meta+Analysis%22">Meta Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Strategies%22">Learning Strategies</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1929-7750 – Name: Abstract Label: Abstract Group: Ab Data: Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research increasingly shows that students can monitor and regulate their own motivation, significantly impacting their academic achievement. Based on the concept of motivational regulation (MR) as a context-dependent process, this systematic review aims to identify existing learning analytics research that examines the link between MR and LD as a key contextual factor. The findings reveal that: 1) there is a lack of consistency in how motivation is measured, operationalized, and applied within the learning analytics literature; 2) self-reporting through surveys remains the most common approach for measuring and operationalizing MR; 3) LD is primarily operationalized at the session and learning activity level, with descriptions focusing on pedagogical principles and strategies; and 4) most studies address the relation between motivational constructs and persistence or academic achievements by looking at variables such as performance or/and outcomes rather than the processes that influence motivational changes and the relationship between MR and LD. – 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: EJ1465544 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1465544 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 215 Subjects: – SubjectFull: Literature Reviews Type: general – SubjectFull: Learning Analytics Type: general – SubjectFull: Instructional Design Type: general – SubjectFull: Student Motivation Type: general – SubjectFull: Independent Study Type: general – SubjectFull: Evaluation Methods Type: general – SubjectFull: Self Management Type: general – SubjectFull: Meta Analysis Type: general – SubjectFull: Learning Strategies Type: general Titles: – TitleFull: Exploring the Link between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jelena N. Larsen – PersonEntity: Name: NameFull: Kine M. D. Maxwell – PersonEntity: Name: NameFull: Mohammad Khalil IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1929-7750 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Journal of Learning Analytics Type: main |
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