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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 have been published in Lecture Notes on Data Engineering and Communications Technologies successfully and indexed by Ei compendex and Scopus.



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Important Dates


Mar.20, 2024


Submission Deadline

Both full papers and abstracts can be submitted, but the abstracts can not be published.


Apr.15, 2024


Notification Deadline

You will receive the final decision on acceptance or rejection.


Apr.30, 2024


Registration Deadline

The Camera Ready should be submitted with other required documents.