EDUCongress2026 Theme
Artificial Intelligence and Digitalisation in Education: Key Concepts, Impacts, and Challenges
EDUCongress 2026 provides a comprehensive platform for discussion on the multidimensional transformation driven by artificial intelligence and digitalisation within education systems. The personalisation of learning processes, data-driven teaching and assessment approaches, algorithmic decision-support systems in educational administration, and digital learning ecosystems are reshaping both the present and the future of education. Beyond pedagogical innovation, this transformation necessitates renewed attention to ethical responsibility, equity and inclusiveness, the evolving role of teachers, and the rethinking of educational policies.
Within this thematic framework, EDUCongress 2026 approaches artificial intelligence and digitalisation not merely as technological advancements, but as a strategic educational transformation that must be addressed through a human-centred perspective grounded in ethical principles and social responsibility. The congress aims to clarify core concepts, critically examine practical applications, and discuss the structural, pedagogical, and ethical challenges encountered through a multidisciplinary lens. In addition, both the potential benefits and risks of this transformation are expected to be evaluated in a critical manner.
Bringing together academics, educational leaders, teachers, policymakers, postgraduate students, and practitioners, EDUCongress 2026 seeks to contribute to the construction of the digital future of education on scientifically sound, ethically grounded, and sustainable foundations.
Congress Sub-Themes
- In line with the main theme of EDUCongress2026, a set of sub-themes has been developed to address the multifaceted impact of artificial intelligence and digitalisation on education. These sub-themes encompass teaching and learning processes, digital pedagogy, ethics and human-centred AI, equity and inclusion, teacher professional development, educational leadership and policy, learner well-being, higher education and lifelong learning, research methods, and future-oriented critical perspectives.
- Participants are invited to submit original research papers that clearly align with one or more of the specified sub-themes. EDUCongress2026 welcomes theoretical, empirical, and practice-oriented contributions that foster interdisciplinary dialogue and critically engage with the opportunities and challenges shaping the digital future of education.
1: Artificial Intelligence in Teaching and Learning
- AI-supported instructional design
- Adaptive and personalised learning environments
- Intelligent tutoring systems and learning analytics
- AI in assessment, feedback, and evaluation
- Teacher–AI interaction in classroom practices
2: Digital Pedagogy and Innovative Learning Environments
- Digital pedagogy models and frameworks
- Hybrid, blended, and online learning design
- Augmented and virtual reality-based technologies in education (AR, VR, XR)
- Gamification and game-based learning
- Technology-enhanced active learning strategies
3: Ethics, Responsibility, and Human-Centred AI in Education
- Ethical use of AI and digital technologies in education
- Data privacy, data protection, and consent in educational settings
- Algorithmic bias and fairness in AI-supported systems
- Human agency, autonomy, and decision-making
- Responsible and transparent AI in educational contexts
4: Digital Equity, Inclusion, and Accessibility
- Digital divide and educational inequality
- Inclusive digital learning environments
- AI and digital tools for learners with special needs
- Gender, migration, and socio-economic perspectives on digitalisation
- Universal design for learning in digital contexts
5: Teacher Professional Development and Digital Competence
- Teachers’ digital competence and AI literacy
- Professional identity and role transformation in the digital age
- Continuous professional development through digital platforms
- Teacher well-being, workload, and digital stress
- Leadership for digital transformation in schools
6: Educational Leadership, Policy, and Governance
- Digital transformation policies in education
- AI governance and regulatory frameworks
- School leadership in AI-driven environments
- Evidence-based policy-making and data-informed decision processes
- Institutional change and digital strategy development
7: Learner Experience, Well-being, and Agency in the Digital Age
- Student engagement and motivation in digital learning
- Emotional, social, and cognitive dimensions of digital learning
- Digital well-being, resilience, and mental health
- Learner agency and self-regulated learning
- Ethical participation and digital citizenship
8: Higher Education, Lifelong Learning, and Adult Education
- AI and digitalisation in higher education teaching and assessment
- Micro-credentials, open learning, and digital certification
- Lifelong learning and reskilling in the AI era
- Adult learners and digital inclusion
- University–industry collaboration and digital skills development
9: Research Methods and Measurement in AI and Digital Education
- Research designs for AI-based educational studies
- Learning analytics and big data in education research
- Validity, reliability, and ethics in digital data collection
- Mixed-methods and design-based research
- Evaluation of digital and AI-based interventions
10: Future Perspectives and Critical Approaches
- Critical theories of digitalisation and AI in education
- Futures of education and emerging technologies
- Pedagogy beyond automation
- Sustainability and green digital transformation
Philosophical and sociological perspectives on AI in education
