2nd International Workshop on Multimodal Artificial Intelligence in Education (MAIEd'25)

@ the 26th International Conference on Artificial Intelligence in Education (AIED’2025)

22nd July 2025 (1st conference day) in-person workshop in Palermo, Italy - 09:00–13:00 time slot

AIED 2025 will be held in person between the 22nd and 26th of July 2025. See here: http://aied2025.itd.cnr.it/

Website: https://maied.edutec.science/

(Proceedings to be published by CEUR)

WORKSHOP DESCRIPTION

Following its launch in 2021, the Multimodal Artificial Intelligence in Education (MAIEd) workshop seeks to gather fresh insights into employing Artificial Intelligence (AI) systems and intelligent tutors for education and learning through the use of multimodal data sources. The workshop builds upon the CrossMMLA workshop series at the Learning Analytics & Knowledge Conference and the Multimodal Immersive Learning Systems (MILeS) at the European Conference of Technology Enhanced Learning. The MAIEd workshop calls for new empirical studies, even if they are in their early stages of development. It welcomes novel experimental designs, theoretical contributions, and practical demonstrations that can prove the use of multimodal and multisensor devices "beyond mouse and keyboard" in learning contexts for automatic feedback generation, adaptation, and personalisation in learning. Through a call for proposals, we seek to engage the scientific community in opening up the scope of AI in Education towards novel and diverse data sources.

TOPICS OF INTEREST

At the MAIEd workshop, we want to discuss which scientific, state-of-the-art ideas and approaches are being pursued and what impacts we expect on educational technologies and education. We are especially interested in contributions targeting the intersection of these two fields of AI and multimodal interaction. We are looking for original contributions that advance the state of the art in theories, technologies, methods, and knowledge towards developing multimodal intelligent tutors or applications that use multimodal data in connection with artificial intelligence algorithms in educational use cases. Concrete topics of interest for this year’s MAIEd workshop include, but are not limited to:

• Multimodal AI architectures and systems
• Multimodal intelligent tutoring systems or user interfaces
• AI multimodal architectures and scalable strategies
• Multimodal learner modeling and affective computing
• Adaptive feedback, guidance, and process in multimodal learning
• Artificial intelligence for learning analytics
• AI in professional and workplace learning
• Multimodal learning environments
• Multimodality in augmented, virtual, and mixed Reality
• Multimodal AI for embodied learning environments
• Multimodal AI in narrative-centered learning environments
• Collaborative learning and AI-driven group interaction analysis
• Methods and technical challenges
• Big data-driven visual analytics for learning
• Multimodal data fusion and cross-modal learning in AI Tutors
• Error detection and classification for multimodal data
• Cognitive load in multimodal interaction with intelligent tutoring systems
• Explainability, trust, and safety in multimodal intelligent tutoring systems
• Bias, fairness, and ethical AI in multimodal learning

In addition, and in line with the AIED 2025 conference theme, we aim to critically examine and reflect on issues of equity, diversity, and inclusion in MAIEd. This includes exploring how MAIEd technologies can be designed and implemented to support learners from diverse backgrounds, address biases in AI-driven educational tools, and promote fair and accessible learning opportunities for all. By engaging with these important considerations, we seek to ensure that MAIEd contributes to a more inclusive and equitable educational landscape.

IMPORTANT DATES

• Paper submission deadline: 30th May, 2025
• Notification of acceptance: 15th June, 2025
• Camera-ready deadline: 30th June, 2025
• Workshop date:  22nd July, 2025
• (All submission deadlines are on 23:59 AoE time)

SUBMISSION GUIDELINES

Accepted papers will be presented in the workshop and included in the workshop proceedings. We invite submissions between 5 and 10 pages, including references.

Submissions should follow the *single-column* CEUR format https://ceur-ws.org/. See CEURART for details. 

Submission should be uploaded in PDF format through the EasyChair system: EasyChair MAIEd25. 

Submissions will be reviewed by expert reviewers in the field. 

ORGANISATION

The workshop will be conducted in person and as a half-day workshop. If allowed, the workshop will also offer a hybrid option. The submitted contributions will be presented in the morning in the first part. The second part will be an interactive discussion, using either a smaller group discussion. This workshop aims to publish the accepted contributions through the CEUR proceedings.

WORKSHOP COMMITTEE

• Daniele Di Mitri, Germany, German University of Digital Science
• Namrata Srivastava, United States, Vanderbilt University
• Gloria Fernandez-Nieto, Australia, Monash University
• Vanessa Echeverria, Australia, Monash University
• Ruth Cobos, Spain, Universidad Autónoma de Madrid
• Ashwin Tudur Sadashiva, United States, Vanderbilt University
• Daniel Spikol, Denmark, University of Copenhagen
• Kester Yew Chong Wong, United Kingdom, University College London
• Qi Zhou, United Kingdom, University College London
• Mutlu Cukurova, United Kingdom, University College London

CONTACT

All questions about submissions should be emailed to daniele.dimitri@german-uds.de