Learning Design and Learning Analytics to Improve Higher Education: A Systematic Literature Review.
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| Title: | Learning Design and Learning Analytics to Improve Higher Education: A Systematic Literature Review. |
|---|---|
| Authors: | Jayashanka, Rangana1 rja@ucsc.cmb.ac.lk, Hettiarachchi, E.1 eno@ucsc.cmb.ac.lk, Wilagama, Prasad1 pdw@ucsc.cmb.ac.lk, Hewagamage, K. P.1 kph@ucsc.cmb.ac.lk |
| Source: | Electronic Journal of e-Learning. 2026, Vol. 24 Issue 2, p61-81. 21p. |
| Subject Terms: | *Learning analytics, *Higher education, *Individualized instruction, *Education ethics, *Educational technology, *Curriculum planning, Statistics |
| Abstract: | In recent years, higher education has increasingly emphasized the integration of Learning Design and Learning Analytics to foster more engaging, personalized, and effective learning environments. This systematic literature review investigates how these two domains interact to enhance teaching learning processes and improve educational outcomes. The review identifies key benefits and opportunities associated with this integration across three stakeholder groups: students, lecturers, and educational institutions by analyzing 55 peer-reviewed publications. The results show that learning effectiveness can be significantly enhanced through the visualization of students' learning interactions using straightforward and user-friendly analytical approaches. Furthermore, successful implementation requires the development of lecturers' data literacy and programming competencies, as well as the incorporation of sociocultural, psychological, and physical data to achieve a more holistic understanding of learners. The review also identifies four major research directions to guide future efforts in bridging Learning Analytics and Learning Design. Finally, the paper underscores the importance of establishing clear ethical and privacy frameworks to ensure the responsible application of Learning Analytics in higher education. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronic Journal of e-Learning is the property of Academic Conferences & Publishing International Ltd. 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 193834761 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Learning Design and Learning Analytics to Improve Higher Education: A Systematic Literature Review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jayashanka%2C+Rangana%22">Jayashanka, Rangana</searchLink><relatesTo>1</relatesTo><i> rja@ucsc.cmb.ac.lk</i><br /><searchLink fieldCode="AR" term="%22Hettiarachchi%2C+E%2E%22">Hettiarachchi, E.</searchLink><relatesTo>1</relatesTo><i> eno@ucsc.cmb.ac.lk</i><br /><searchLink fieldCode="AR" term="%22Wilagama%2C+Prasad%22">Wilagama, Prasad</searchLink><relatesTo>1</relatesTo><i> pdw@ucsc.cmb.ac.lk</i><br /><searchLink fieldCode="AR" term="%22Hewagamage%2C+K%2E+P%2E%22">Hewagamage, K. P.</searchLink><relatesTo>1</relatesTo><i> kph@ucsc.cmb.ac.lk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronic+Journal+of+e-Learning%22">Electronic Journal of e-Learning</searchLink>. 2026, Vol. 24 Issue 2, p61-81. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Learning+analytics%22">Learning analytics</searchLink><br />*<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br />*<searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+ethics%22">Education ethics</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Curriculum+planning%22">Curriculum planning</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In recent years, higher education has increasingly emphasized the integration of Learning Design and Learning Analytics to foster more engaging, personalized, and effective learning environments. This systematic literature review investigates how these two domains interact to enhance teaching learning processes and improve educational outcomes. The review identifies key benefits and opportunities associated with this integration across three stakeholder groups: students, lecturers, and educational institutions by analyzing 55 peer-reviewed publications. The results show that learning effectiveness can be significantly enhanced through the visualization of students' learning interactions using straightforward and user-friendly analytical approaches. Furthermore, successful implementation requires the development of lecturers' data literacy and programming competencies, as well as the incorporation of sociocultural, psychological, and physical data to achieve a more holistic understanding of learners. The review also identifies four major research directions to guide future efforts in bridging Learning Analytics and Learning Design. Finally, the paper underscores the importance of establishing clear ethical and privacy frameworks to ensure the responsible application of Learning Analytics in higher education. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronic Journal of e-Learning is the property of Academic Conferences & Publishing International Ltd. 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=193834761 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.34190/ejel.24.2.3645 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 61 Subjects: – SubjectFull: Learning analytics Type: general – SubjectFull: Higher education Type: general – SubjectFull: Individualized instruction Type: general – SubjectFull: Education ethics Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Curriculum planning Type: general – SubjectFull: Statistics Type: general Titles: – TitleFull: Learning Design and Learning Analytics to Improve Higher Education: A Systematic Literature Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jayashanka, Rangana – PersonEntity: Name: NameFull: Hettiarachchi, E. – PersonEntity: Name: NameFull: Wilagama, Prasad – PersonEntity: Name: NameFull: Hewagamage, K. P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14794403 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Electronic Journal of e-Learning Type: main |
| ResultId | 1 |
