Submission topics' information -
We sincerely invite contributions to 2024 5th International Conference on Artificial Intelligence in Education Technology (AIET 2024). AIET 2024 conference will take place in Barcelona, Spain during July 29-31, 2024. Topics of interest for submission include as following:
Learning Contexts and Informal Learning: Educational games and gamification; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions of learning; Communities of practice; Ubiquitous learning environments; Learning through construction and making; Learning grid; Lifelong, museum, out-of-school, and workplace learning
Inequity and inequality in education: socio-economic, gender, and racial issues. Intelligent techniques to support disadvantaged schools and students. Ethics in educational research: sponsorship, scientific validity, participant’s rights and responsibilities, data collection, management and dissemination
Design, use, and evaluation of human-AI hybrid systems for learning: Research that explores the potential of human-AI interaction in educational contexts; Systems and approaches in which educational stakeholders and AI tools build upon each other’s complementary strengths to achieve educational outcomes and/or improve mutually
Online and distance learning: massive open online courses; remote learning in k-12 schools; synchronous and asynchronous learning; mobile learning; active learning in virtual settings
Evaluation in the Context of Education Technologies: Studies on human learning, cognition, affect, motivation, and attitudes; Design and formative studies of AI education systems; Evaluation techniques relying on computational analyses
Innovative Applications: Domain-specific learning applications (e.g. language, science, engineering, mathematics, medicine, military, industry); Scaling up and large-scale deployment of AI education systems
Intelligent and Interactive Technologies in an Educational Context: Natural language processing and speech technologies; Data mining and machine learning; Knowledge representation and reasoning; Semantic web technologies; Multi-agent architectures; Tangible interfaces, wearables and augmented reality
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
Learning Contexts and Informal Learning: Educational games and gamification; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions of learning; Communities of practice; Ubiquitous learning environments; Learning through construction and making; Learning grid; Lifelong, museum, out-of-school, and workplace learning
Modelling and Representation: Models of learners, including open learner models; facilitators, tasks and problem-solving processes; Models of groups and communities for learning; Modelling motivation, metacognition, and affective aspects of learning; Ontological modelling; Computational thinking and model-building; Representing and analyzing activity flow and discourse during learning
Models of Teaching and Learning: Intelligent tutoring and scaffolding; Motivational diagnosis and feedback; Interactive pedagogical agents and learning companions; Agents that promote metacognition, motivation and affect; Adaptive question-answering and dialogue, Educational data mining, Learning analytics and teaching support, Learning with simulations
Attention Please！
Papers out of scope, missing affiliations, missing email addresses, a high similarity to other publications and language deficiencies will immediately be rejected!
Publication
All peer-reviewed papers accepted by AIET 2024 will be published in a volume of the Springer book series: Lecture Notes on Data Engineering and Communications Technologies. Springer will conduct quality checks on the accepted papers and only papers that pass these checks will be published.
Indexed by Ei Compendex, Scopus, INSPEC, etc. All books published in the series are submitted for consideration in Web of Science.
All accepted and registered papers of AIET 2021, 2022 & 2023 have been published in Lecture Notes on Data Engineering and Communications Technologies successfully and indexed by Ei compendex and Scopus.