Special Issues
Education 4.0: A Practical Pillar Framework for Intelligent Learning Ecosystems
Information for This Special Issue
Dear Colleagues,
This Special Issue, “Education 4.0: A Practical Pillar Framework for Intelligent Learning Ecosystems”, aims to explore the systemic architectures that define Education 4.0 within the context of the Fourth Industrial Revolution. Aligned with Industry 4.0´s technological convergence, this collection examines how educational institutions can structure intelligent ecosystems through the strategic integration of personalization, immersive technologies, active methodologies, predictive analytics, and global collaboration, with particular relevance for countries undergoing rapid technological development which implemented their National Industry 4.0 Program.
General Focus
The central objective is to map the essential structural components of intelligent learning ecosystems and analyze their interdependent dynamics. The issue welcomes contributions that develop practical implementation frameworks, scalable institutional architectures, and technological governance models for Education 4.0, covering preschool, basic, secondary, and higher education levels, as well as professional and corporate training.
The scope includes empirical studies, systematic reviews, institutional case studies, and comparative analyses that explore:
- Multi-level integration of emerging technologies in diverse educational contexts
- Governance models and policies for intelligent ecosystems
- Teacher training strategies and institutional digital literacy
- Systemic impact assessment and technological sustainability architectures
Relationship with the Existing Literature
While Education 4.0 literature is abundant in specific technological applications, this special issue privileges holistic approaches that articulate multiple dimensions within a cohesive structural pillar framework. It differentiates itself from isolated studies by exploring intersections between intelligent personalization, immersive environments, active pedagogy, predictive intelligence, and distributed collaboration, creating integrated models applicable to different educational realities.
Contribution to Sustainable Development
Education 4.0, as an intelligent ecosystem, positions itself as strategic infrastructure for the Sustainable Development Goals, particularly SDG 4 (Quality Education). This issue examines how structured frameworks can democratize access to excellence in learning, optimize institutional resources, and prepare adaptive competencies for global challenges, promoting educational equity and systemic sustainable innovation.
Topics
The issue welcomes contributions in the following thematic areas:
Technological and Architectural Pillars:
- Adaptive personalization and intelligent learning pathways
- Extended reality and immersive pedagogical environments
- Educational analytics and institutional predictive intelligence
- Global collaborative platforms and distributed co-creation
Pedagogical and Methodological Dimensions:
- Active methodologies and competency-based learning
- Instructional design for hybrid ecosystems
- Real-time formative assessment and intelligent feedback
- Gamification and large-scale micro credentialing
Institutional Management and Policies:
- Governance architectures for Educational Technology
- Scalable implementation strategies (pilot → system)
- ROI models and technological sustainability
- Integration with national and European digital education policies
Training and Human Ecosystems:
- Teacher digital literacy and continuous training
- Academic leadership for 4.0 transformation
- Public-private partnerships in intelligent education
- Ethics and privacy in educational data ecosystems
Conclusion
This Special Issue aims to consolidate Education 4.0 as a structural discipline of the 21st century, providing conceptual and practical frameworks for building intelligent learning ecosystems. We invite researchers from all areas of education and technology to contribute works that transcend isolated technological demonstrations, proposing systemic architectures that truly transform contemporary educational models.
Guest Editor
Dr. Abílio Afonso Lourenço
University of Minho, Portugal
https://orcid.org/0000-0001-6920-0412
Manuscript Submission
Manuscripts must be submitted online through Educational Point's manuscript submission system. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are subject to peer review. Accepted articles will be published continuously in the journal (as soon as accepted) and listed together on the special issue website. Research articles, review articles, and short communications are invited. For planned papers, the title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor should they be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are rigorously evaluated through a single-blind peer-review process. The guide for authors and other relevant submission information is available on the Instructions for Authors page. Educational Point (www.educationalpoint.net) is an international, open-access, peer-reviewed journal.
Please consult the Instructions for Authors page before submitting a manuscript. Submitted papers must be well formatted and use correct English.
Keywords
Education 4.0; Intelligent learning ecosystems; Industry 4.0; Adaptive personalisation; Immersive technologies; Learning analytics; Active methodologies; Educational governance; Teacher digital literacy.
Sustainable Development Goals
Benefits of Publishing in a Special Issue:
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- Reprint: Educational Point offers the opportunity to republish successful Special Issues in book format, online and in print. (if it is the journal's practice).
Proposed Schedule
The following schedule is proposed for the Special Issue, totally flexible and adjustable according to the availability and interests of Educational Point:
- Abstract submission deadline: 30 April 2026
- Full papers deadline: 31 October 2026
- Publication: January 2027