National eLearning Conference 2026
CALL FOR ABSTRACTS
THEME: EduVerse 2026: Orchestrating Intelligent Learning Ecosystems
Connecting Artificial Intelligence, Digital Learning Architectures, and Future Fluencies for Transformative Education
DATE & TIME: Dec 3-4, 2026
VENUE: Saint Louis University, Baguio City Philippines
Connecting Artificial Intelligence, Digital Learning Architectures, and Future Fluencies for Transformative Education
DATE & TIME: Dec 3-4, 2026
VENUE: Saint Louis University, Baguio City Philippines
Rationale
EduVerse represents an interconnected educational environment in which learners, educators, artificial intelligence, digital platforms, data, learning resources, emerging technologies, and institutions converge to create more connected, adaptive, and intelligent learning experiences. It reflects a shift from viewing eLearning simply as the delivery of digital content toward understanding education as an evolving ecosystem in which people, technologies, information, and institutional systems interact to support teaching, learning, assessment, research, professional development, and educational management.
This transformation is becoming increasingly significant as artificial intelligence, digital platforms, data, and emerging technologies become more deeply integrated into education. Rather than adopting technologies as isolated tools, educational institutions are increasingly challenged to connect and align these diverse capabilities with human expertise, pedagogical practices, organizational processes, and institutional goals. The value of technology therefore lies not simply in its adoption, but in how effectively it can be integrated and orchestrated to create meaningful and sustainable educational outcomes.
It is within this context that the National eLearning Conference 2026 (NeLC 2026) adopts the theme “EduVerse 2026: Orchestrating Intelligent Learning Ecosystems.” The theme recognizes that the future of education will not be defined by a single technology, platform, or digital solution. Instead, it will depend on the capacity of educational institutions and communities to orchestrate diverse technologies, people, learning experiences, data, and institutional systems as an interconnected ecosystem.
The concept of orchestration is central to this vision. Like an orchestra in which different instruments contribute distinct capabilities while working toward a unified composition, an intelligent learning ecosystem brings together diverse human and technological elements toward shared educational objectives. Artificial intelligence, learning platforms, data, digital resources, emerging technologies, educators, learners, and institutions each contribute different capabilities; their greater value emerges when these elements are thoughtfully connected, coordinated, and aligned.
Through EduVerse 2026, NeLC seeks to explore how this emerging ecosystem can transform the way education is designed, delivered, experienced, assessed, managed, and continuously improved. The conference particularly welcomes research, innovations, case studies, practices, and critical perspectives that examine how institutions can design, implement, manage, and evaluate intelligent learning ecosystems while keeping human learning, inclusion, ethics, creativity, and educational quality at the center. It invites educators, leaders, researchers, technology practitioners, policymakers, and industry partners to examine not only what new technologies can do, but also how people, technologies, data, and institutions can work together to shape the future of education.
This transformation is becoming increasingly significant as artificial intelligence, digital platforms, data, and emerging technologies become more deeply integrated into education. Rather than adopting technologies as isolated tools, educational institutions are increasingly challenged to connect and align these diverse capabilities with human expertise, pedagogical practices, organizational processes, and institutional goals. The value of technology therefore lies not simply in its adoption, but in how effectively it can be integrated and orchestrated to create meaningful and sustainable educational outcomes.
It is within this context that the National eLearning Conference 2026 (NeLC 2026) adopts the theme “EduVerse 2026: Orchestrating Intelligent Learning Ecosystems.” The theme recognizes that the future of education will not be defined by a single technology, platform, or digital solution. Instead, it will depend on the capacity of educational institutions and communities to orchestrate diverse technologies, people, learning experiences, data, and institutional systems as an interconnected ecosystem.
The concept of orchestration is central to this vision. Like an orchestra in which different instruments contribute distinct capabilities while working toward a unified composition, an intelligent learning ecosystem brings together diverse human and technological elements toward shared educational objectives. Artificial intelligence, learning platforms, data, digital resources, emerging technologies, educators, learners, and institutions each contribute different capabilities; their greater value emerges when these elements are thoughtfully connected, coordinated, and aligned.
Through EduVerse 2026, NeLC seeks to explore how this emerging ecosystem can transform the way education is designed, delivered, experienced, assessed, managed, and continuously improved. The conference particularly welcomes research, innovations, case studies, practices, and critical perspectives that examine how institutions can design, implement, manage, and evaluate intelligent learning ecosystems while keeping human learning, inclusion, ethics, creativity, and educational quality at the center. It invites educators, leaders, researchers, technology practitioners, policymakers, and industry partners to examine not only what new technologies can do, but also how people, technologies, data, and institutions can work together to shape the future of education.
Conference Sub-Themes
NeLC 2026 will focus on three major sub-themes:
1. AI-Augmented Pedagogy
Advancing teaching and assessment through human–AI collaboration.
Artificial intelligence is transforming how educators design learning experiences, develop instructional materials, provide feedback, assess learning, and support individual learners. This sub-theme explores practical and research-based applications of generative AI, AI learning assistants, intelligent tutoring systems, automated and AI-supported assessment, adaptive learning, personalized learning, learning analytics, and other forms of human–AI collaboration in education.
Topics may include, but are not limited to:
2. Digital Learning Architectures
Building connected, data-informed, and seamless learning environments.
The future of eLearning depends not only on individual technologies but also on how platforms, systems, data, content, services, and users are connected. This sub-theme examines the design and implementation of digital learning architectures that enable seamless, flexible, interoperable, and data-informed learning experiences across institutions and contexts.
Topics may include, but are not limited to:
3. Future Fluencies
Equipping learners and educators with essential competencies for an AI-driven world.
Technological transformation requires more than digital skills. Learners, educators, administrators, and professionals need new competencies that enable them to work effectively, critically, creatively, and responsibly in environments increasingly shaped by artificial intelligence and emerging technologies. This sub-theme focuses on the knowledge, skills, attitudes, and capabilities required for lifelong learning and participation in an AI-driven future.
Topics may include, but are not limited to:
Cross-Cutting Perspectives
Across all three sub-themes, submissions are particularly encouraged to address the human, ethical, institutional, and societal dimensions of intelligent learning ecosystems.
Potential cross-cutting areas include:
1. AI-Augmented Pedagogy
Advancing teaching and assessment through human–AI collaboration.
Artificial intelligence is transforming how educators design learning experiences, develop instructional materials, provide feedback, assess learning, and support individual learners. This sub-theme explores practical and research-based applications of generative AI, AI learning assistants, intelligent tutoring systems, automated and AI-supported assessment, adaptive learning, personalized learning, learning analytics, and other forms of human–AI collaboration in education.
Topics may include, but are not limited to:
- Generative AI in teaching and learning
- AI-assisted instructional design
- Human–AI collaboration in pedagogy
- AI-powered learning assistants and tutors
- Personalized and adaptive learning
- AI-supported assessment and feedback
- AI literacy for educators and learners
- Prompt engineering for education
- AI-enhanced curriculum development
- Academic integrity in the age of generative AI
- AI-supported research and scholarly work
- Teacher roles in AI-enhanced learning environments
- Ethical and responsible use of AI in education
- AI governance and institutional policies
- Evaluating the effectiveness of AI-enhanced pedagogy
- Faculty development for AI-enabled teaching
2. Digital Learning Architectures
Building connected, data-informed, and seamless learning environments.
The future of eLearning depends not only on individual technologies but also on how platforms, systems, data, content, services, and users are connected. This sub-theme examines the design and implementation of digital learning architectures that enable seamless, flexible, interoperable, and data-informed learning experiences across institutions and contexts.
Topics may include, but are not limited to:
- Learning Management Systems and next-generation LMS
- Digital learning ecosystems
- Interoperability and integration of learning platforms
- Learning Experience Platforms (LXP)
- Learning analytics and educational data
- Digital credentials and microcredentials
- Open educational resources
- Digital libraries and knowledge ecosystems
- Cloud-based learning environments
- Learning data governance
- Digital identity and learner profiles
- Learning technology interoperability
- User experience and learner experience design
- Accessible and inclusive digital learning environments
- Mobile and ubiquitous learning
- Smart campuses and connected learning environments
- Digital transformation of educational institutions
- Data-informed decision-making in education
- Institutional digital learning strategies
3. Future Fluencies
Equipping learners and educators with essential competencies for an AI-driven world.
Technological transformation requires more than digital skills. Learners, educators, administrators, and professionals need new competencies that enable them to work effectively, critically, creatively, and responsibly in environments increasingly shaped by artificial intelligence and emerging technologies. This sub-theme focuses on the knowledge, skills, attitudes, and capabilities required for lifelong learning and participation in an AI-driven future.
Topics may include, but are not limited to:
- AI literacy and AI fluency
- Digital literacy and digital fluency
- Future-ready competencies
- Critical thinking and AI
- Creativity and innovation in digital learning
- Human skills in an AI-enabled workplace
- Digital citizenship and responsible technology use
- Information and media literacy
- Computational and data literacy
- Faculty AI competency development
- Student AI competency frameworks
- Workforce reskilling and upskilling
- Lifelong learning in the digital age
- Microcredentials and competency-based learning
- Future of work and future of learning
- AI-enabled professional development
- Leadership competencies for digital transformation
- Preparing educators for emerging technologies
- Preparing students for AI-enabled professions
Cross-Cutting Perspectives
Across all three sub-themes, submissions are particularly encouraged to address the human, ethical, institutional, and societal dimensions of intelligent learning ecosystems.
Potential cross-cutting areas include:
- Human-centered AI in education
- Ethical and responsible AI
- Privacy and data protection
- Equity and inclusion
- Accessibility
- Digital well-being
- Academic integrity
- AI governance and policy
- Faculty and institutional readiness
- Digital transformation
- Sustainability of digital learning
- Evidence-based educational innovation
- Evaluation and impact of educational technologies
Who Should Submit?
NeLC 2026 welcomes contributions from:
- Teachers and educators
- Higher education faculty
- School administrators
- Educational technology professionals
- Researchers and scholars
- Instructional designers
- Learning and development professionals
- Information technology professionals
- Librarians and knowledge professionals
- Government and education policymakers
- Industry practitioners
- Students and graduate researchers
- EdTech innovators and developers
- Professional training organizations
Types of Contributions
The conference welcomes:
Research Papers
Original empirical, theoretical, conceptual, or applied research addressing issues related to intelligent learning ecosystems.
Practice and Innovation Papers
Descriptions and evaluations of innovative teaching practices, educational technologies, institutional initiatives, or digital learning programs.
Case Studies
Documented institutional, organizational, classroom, or community experiences involving AI, digital learning, or emerging technologies.
Conceptual Papers
New frameworks, models, approaches, or theoretical perspectives relevant to the future of eLearning.
Technology and Innovation Demonstrations
Innovative applications, platforms, systems, prototypes, or digital learning solutions.
Student and Emerging Researcher Papers
Research and innovative projects undertaken by students, early-career researchers, or emerging educational technology practitioners.
Research Papers
Original empirical, theoretical, conceptual, or applied research addressing issues related to intelligent learning ecosystems.
Practice and Innovation Papers
Descriptions and evaluations of innovative teaching practices, educational technologies, institutional initiatives, or digital learning programs.
Case Studies
Documented institutional, organizational, classroom, or community experiences involving AI, digital learning, or emerging technologies.
Conceptual Papers
New frameworks, models, approaches, or theoretical perspectives relevant to the future of eLearning.
Technology and Innovation Demonstrations
Innovative applications, platforms, systems, prototypes, or digital learning solutions.
Student and Emerging Researcher Papers
Research and innovative projects undertaken by students, early-career researchers, or emerging educational technology practitioners.
Submission Guidelines
Abstract Submission
Abstracts should be no more than 300 words and should clearly present:
Authors should indicate the preferred sub-theme:
Abstracts should be no more than 300 words and should clearly present:
- Background/Rationale – the context and problem being addressed;
- Purpose/Objectives – what the study, project, or innovation seeks to accomplish;
- Methodology/Approach – research methods, implementation approach, or development process;
- Results/Findings – major findings, outcomes, or expected contribution; and
- Implications/Contribution – relevance to education, eLearning, AI, or intelligent learning ecosystems.
Authors should indicate the preferred sub-theme:
- AI-Augmented Pedagogy
- Digital Learning Architectures
- Future Fluencies
Important Dates
Activity Date
Call for Abstracts [September 15, 2026]
Abstract Submission Deadline [October 10, 2026]
Notification of Abstract Acceptance [October 20, 2026]
Conference Registration Deadline [November 10, 2026]
NeLC 2026 Conference [December 3-4, 2026]
Call for Abstracts [September 15, 2026]
Abstract Submission Deadline [October 10, 2026]
Notification of Abstract Acceptance [October 20, 2026]
Conference Registration Deadline [November 10, 2026]
NeLC 2026 Conference [December 3-4, 2026]
Submission and Contact Information
Abstract Submission: https://easychair.org/my/conference?conf=nelc2026
Conference Website: https://philippineelearningsociety.weebly.com/nelc-2026.html
Conference Email: [email protected]
Conference Website: https://philippineelearningsociety.weebly.com/nelc-2026.html
Conference Email: [email protected]
