The 6th International Conference on Artificial Intelligence in Education Technology (AIET 2025) gathers experts, engineers, and researchers to explore and advance the integration of artificial intelligence in education technology.
Topics
- Inequity and inequality in education
- S rights and responsibilities, data collection, management and dissemination
- Socio-economic, gender, and racial issues. Intelligent techniques to support disadvantaged schools and students. Ethics in educational research: sponsorship, scientific validity, participant&rsquo
- Learning Contexts and Informal Learning
- Collaborative and group learning
- Educational games and gamification
- Inquiry learning
- Social networks
- Communities of practice
- Social dimensions of learning
- Learning through construction and making
- Ubiquitous learning environments
- Lifelong, museum, out-of-school, and workplace learning
- Learning grid
- Online and distance learning
- Remote learning in k-12 schools
- Massive open online courses
- Mobile learning
- Synchronous and asynchronous learning
- Active learning in virtual settings
- Design, use, and evaluation of human-AI hybrid systems for learning
- Systems and approaches in which educational stakeholders and AI tools build upon each other&rsquo
- Research that explores the potential of human-AI interaction in educational contexts
- S complementary strengths to achieve educational outcomes and/or improve mutually
- Innovative Applications
- Scaling up and large-scale deployment of AI education systems
- Domain-specific learning applications (e.g. language, science, engineering, mathematics, medicine, military, industry)
- Evaluation in the Context of Education Technologies
- Design and formative studies of AI education systems
- Studies on human learning, cognition, affect, motivation, and attitudes
- Evaluation techniques relying on computational analyses
- Intelligent Techniques to Support Disadvantaged Schools and Students, Inequity and Inequality in Education
- Socio-economic, gender, and racial issues. Ethics in educational research: sponsorship, scientific validity, participant`s rights and responsibilities, data collection, management and dissemination
- Intelligent and Interactive Technologies in an Educational Context
- Data mining and machine learning
- Natural language processing and speech technologies
- Semantic web technologies
- Knowledge representation and reasoning
- Tangible interfaces, wearables and augmented reality
- Multi-agent architectures
- Modelling and Representation
- Facilitators, tasks and problem-solving processes
- Models of learners, including open learner models
- Modelling motivation, metacognition, and affective aspects of learning
- Models of groups and communities for learning
- Computational thinking and model-building
- Ontological modelling
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- Representing and analyzing activity flow and discourse during learning
- Learning Contexts and Informal Learning
- Collaborative and group learning
- Educational games and gamification
- Inquiry learning
- Social networks
- Communities of practice
- Social dimensions of learning
- Learning through construction and making
- Ubiquitous learning environments
- Lifelong, museum, out-of-school, and workplace learning
- Learning grid
- Models of Teaching and Learning
- Motivational diagnosis and feedback
- Intelligent tutoring and scaffolding
- Agents that promote metacognition, motivation and affect
- Interactive pedagogical agents and learning companions
- Adaptive question-answering and dialogue, Educational data mining, Learning analytics and teaching support, Learning with simulations
