Towards Smart and Socially Integrated Learning: A Systematic Review of LMS, Social Media and Artificial Intelligence Synergies
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| Title: | Towards Smart and Socially Integrated Learning: A Systematic Review of LMS, Social Media and Artificial Intelligence Synergies |
|---|---|
| Language: | English |
| Authors: | Ana Petrovic, Danijela Jaksic |
| Source: | Electronic Journal of e-Learning. 2026 24(1):75-92. |
| Availability: | Academic Conferences Limited. Curtis Farm, Kidmore End, Nr Reading, RG4 9AY, UK. Tel: +44-1189-724148; Fax: +44-1189-724691; e-mail: info@academic-conferences.org; Web site: https://academic-publishing.org/index.php/ejel/index |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Information Analyses |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Literature Reviews, Artificial Intelligence, Social Media, Learning Management Systems, Higher Education, Computer Uses in Education, Technology Integration, Virtual Classrooms, Student Satisfaction, Learner Engagement, Academic Achievement, College Students |
| ISSN: | 1479-4403 |
| Abstract: | This systematic literature review investigates the synergistic role of Learning Management Systems (LMS), social media (SM) and artificial intelligence (AI) in enhancing student engagement, satisfaction, and academic success within smart online and blended learning environments. LMS platforms are highlighted as the backbone of digital pedagogy, offering increasingly personalized, interactive, and adaptive experiences. The paper examines 34 peer-reviewed articles sourced from Scopus and Web of Science that address the connection between LMS and SM in higher education. In addition, a separate search query was conducted for research question 3, resulting in 11 studies that focus specifically on the intersection of AI, LMS, and SM. Findings indicate that LMS tools such as discussion forums, automated assessment, learning analytics, and interactive content modules consistently support motivation, timely feedback, and improved academic outcomes. The integration of SM enhances these outcomes by introducing familiar, interactive and collaborative dynamics that foster peer engagement and community - building. Case studies- including platforms like Moodle-VKontakte, KnowMore, and my.eskwela - show how features like newsfeeds, chatbots, and analytics can transform static learning portals into autonomous learning ecosystems. Looking ahead, the review also identifies significant potential for emerging technologies -- particularly AI -- to elevate the effectiveness of LMS and SM integrations. Future learning environments may incorporate AI-driven personalization, predictive analytics for early intervention, and chatbot assistants that provide academic guidance or direct students to well-being resources in an empathetic, non-diagnostic manner, influencing their engagement and overall satisfaction with learning. Immersive virtual spaces such as metaverse-based classrooms also offer new avenues for simulation-based learning and collaborative engagement. Together, these developments signal a shift toward digital ecosystems that are adaptive, community-oriented, emotionally supportive, and grounded in evidence-based design principles. Overall, this review contributes a consolidated understanding of how LMS and SM can jointly advance the quality of digital education, supported by emerging technologies such as AI. By outlining both current practices and future opportunities, it offers a clear foundation for the development of next-generation learning systems that are more engaging, equitable, and responsive to the diverse needs of today's learners. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1497418 |
| Database: | ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1497418 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards Smart and Socially Integrated Learning: A Systematic Review of LMS, Social Media and Artificial Intelligence Synergies – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ana+Petrovic%22">Ana Petrovic</searchLink><br /><searchLink fieldCode="AR" term="%22Danijela+Jaksic%22">Danijela Jaksic</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Electronic+Journal+of+e-Learning%22"><i>Electronic Journal of e-Learning</i></searchLink>. 2026 24(1):75-92. – Name: Avail Label: Availability Group: Avail Data: Academic Conferences Limited. Curtis Farm, Kidmore End, Nr Reading, RG4 9AY, UK. Tel: +44-1189-724148; Fax: +44-1189-724691; e-mail: info@academic-conferences.org; Web site: https://academic-publishing.org/index.php/ejel/index – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 18 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Information Analyses – 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="%22Literature+Reviews%22">Literature Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Media%22">Social Media</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Management+Systems%22">Learning Management Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+Classrooms%22">Virtual Classrooms</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Satisfaction%22">Student Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1479-4403 – Name: Abstract Label: Abstract Group: Ab Data: This systematic literature review investigates the synergistic role of Learning Management Systems (LMS), social media (SM) and artificial intelligence (AI) in enhancing student engagement, satisfaction, and academic success within smart online and blended learning environments. LMS platforms are highlighted as the backbone of digital pedagogy, offering increasingly personalized, interactive, and adaptive experiences. The paper examines 34 peer-reviewed articles sourced from Scopus and Web of Science that address the connection between LMS and SM in higher education. In addition, a separate search query was conducted for research question 3, resulting in 11 studies that focus specifically on the intersection of AI, LMS, and SM. Findings indicate that LMS tools such as discussion forums, automated assessment, learning analytics, and interactive content modules consistently support motivation, timely feedback, and improved academic outcomes. The integration of SM enhances these outcomes by introducing familiar, interactive and collaborative dynamics that foster peer engagement and community - building. Case studies- including platforms like Moodle-VKontakte, KnowMore, and my.eskwela - show how features like newsfeeds, chatbots, and analytics can transform static learning portals into autonomous learning ecosystems. Looking ahead, the review also identifies significant potential for emerging technologies -- particularly AI -- to elevate the effectiveness of LMS and SM integrations. Future learning environments may incorporate AI-driven personalization, predictive analytics for early intervention, and chatbot assistants that provide academic guidance or direct students to well-being resources in an empathetic, non-diagnostic manner, influencing their engagement and overall satisfaction with learning. Immersive virtual spaces such as metaverse-based classrooms also offer new avenues for simulation-based learning and collaborative engagement. Together, these developments signal a shift toward digital ecosystems that are adaptive, community-oriented, emotionally supportive, and grounded in evidence-based design principles. Overall, this review contributes a consolidated understanding of how LMS and SM can jointly advance the quality of digital education, supported by emerging technologies such as AI. By outlining both current practices and future opportunities, it offers a clear foundation for the development of next-generation learning systems that are more engaging, equitable, and responsive to the diverse needs of today's learners. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1497418 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 75 Subjects: – SubjectFull: Literature Reviews Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Social Media Type: general – SubjectFull: Learning Management Systems Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Computer Uses in Education Type: general – SubjectFull: Technology Integration Type: general – SubjectFull: Virtual Classrooms Type: general – SubjectFull: Student Satisfaction Type: general – SubjectFull: Learner Engagement Type: general – SubjectFull: Academic Achievement Type: general – SubjectFull: College Students Type: general Titles: – TitleFull: Towards Smart and Socially Integrated Learning: A Systematic Review of LMS, Social Media and Artificial Intelligence Synergies Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ana Petrovic – PersonEntity: Name: NameFull: Danijela Jaksic IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1479-4403 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: Electronic Journal of e-Learning Type: main |
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