The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25)

Daniele Di Mitri; Namrata Srivastava; Gloria Fernandez Nieto; Vanessa Echeverria; Ruth Cobos; Ashwin Tudur Sadashiva; Daniel Spikol; Kester Yew Chong Wong; Qi Zhou; Mutlu Cukurova

doi:10.1007/978-3-031-99267-4_38

The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25)

Daniele Di Mitri, Namrata Srivastava, Gloria Fernandez Nieto, Vanessa Echeverria, Ruth Cobos, Ashwin Tudur Sadashiva, Daniel Spikol, Kester Yew Chong Wong, Qi Zhou, Mutlu Cukurova

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

Following its launch in 2021, this 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 Multimodal Artificial Intelligence in Education (MAIEd) 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 multi-sensor 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.

Original language	English
Title of host publication	Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings
Editors	Alexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	292-299
Number of pages	8
ISBN (Electronic)	9783031992674
ISBN (Print)	9783031992667
DOIs	https://doi.org/10.1007/978-3-031-99267-4_38
Publication status	Published - 2025
Event	International Workshop on Multimodal Artificial Intelligence in Education 2025 - Palermo, Italy Duration: 22 Jul 2025 → 22 Jul 2025 Conference number: 2nd https://maied.edutec.science/ (Website) https://link.springer.com/book/10.1007/978-3-031-99267-4 (Proceedings)

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	2592
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Workshop on Multimodal Artificial Intelligence in Education 2025
Abbreviated title	MAIEd’25
Country/Territory	Italy
City	Palermo
Period	22/07/25 → 22/07/25
Internet address	https://maied.edutec.science/ (Website) https://link.springer.com/book/10.1007/978-3-031-99267-4 (Proceedings)

Keywords

Automatic Feedback
Educational scenarios
Multimodality
Sensor-based systems

Access to Document

10.1007/978-3-031-99267-4_38

Cite this

Di Mitri, D., Srivastava, N., Fernandez Nieto, G., Echeverria, V., Cobos, R., Tudur Sadashiva, A., Spikol, D., Wong, K. Y. C., Zhou, Q., & Cukurova, M. (2025). The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25). In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings (pp. 292-299). (Communications in Computer and Information Science; Vol. 2592). Springer. https://doi.org/10.1007/978-3-031-99267-4_38

Di Mitri, Daniele ; Srivastava, Namrata ; Fernandez Nieto, Gloria et al. / The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings. editor / Alexandra I. Cristea ; Erin Walker ; Yu Lu ; Olga C. Santos ; Seiji Isotani. Cham Switzerland : Springer, 2025. pp. 292-299 (Communications in Computer and Information Science).

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title = "The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd{\textquoteright}25)",

abstract = "Following its launch in 2021, this 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 Multimodal Artificial Intelligence in Education (MAIEd) 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 multi-sensor 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.",

keywords = "Automatic Feedback, Educational scenarios, Multimodality, Sensor-based systems",

author = "\{Di Mitri\}, Daniele and Namrata Srivastava and \{Fernandez Nieto\}, Gloria and Vanessa Echeverria and Ruth Cobos and \{Tudur Sadashiva\}, Ashwin and Daniel Spikol and Wong, \{Kester Yew Chong\} and Qi Zhou and Mutlu Cukurova",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; International Workshop on Multimodal Artificial Intelligence in Education 2025, MAIEd{\textquoteright}25 ; Conference date: 22-07-2025 Through 22-07-2025",

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doi = "10.1007/978-3-031-99267-4\_38",

language = "English",

isbn = "9783031992667",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "292--299",

editor = "Cristea, \{Alexandra I.\} and Erin Walker and Yu Lu and Santos, \{Olga C.\} and Seiji Isotani",

booktitle = "Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings",

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Di Mitri, D, Srivastava, N, Fernandez Nieto, G, Echeverria, V, Cobos, R, Tudur Sadashiva, A, Spikol, D, Wong, KYC, Zhou, Q & Cukurova, M 2025, The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25). in AI Cristea, E Walker, Y Lu, OC Santos & S Isotani (eds), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings. Communications in Computer and Information Science, vol. 2592, Springer, Cham Switzerland, pp. 292-299, International Workshop on Multimodal Artificial Intelligence in Education 2025, Palermo, Italy, 22/07/25. https://doi.org/10.1007/978-3-031-99267-4_38

The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25). / Di Mitri, Daniele; Srivastava, Namrata; Fernandez Nieto, Gloria et al.
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings. ed. / Alexandra I. Cristea; Erin Walker; Yu Lu; Olga C. Santos; Seiji Isotani. Cham Switzerland: Springer, 2025. p. 292-299 (Communications in Computer and Information Science; Vol. 2592).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25)

AU - Di Mitri, Daniele

AU - Srivastava, Namrata

AU - Fernandez Nieto, Gloria

AU - Echeverria, Vanessa

AU - Cobos, Ruth

AU - Tudur Sadashiva, Ashwin

AU - Spikol, Daniel

AU - Wong, Kester Yew Chong

AU - Zhou, Qi

AU - Cukurova, Mutlu

N1 - Conference code: 2nd

PY - 2025

Y1 - 2025

N2 - Following its launch in 2021, this 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 Multimodal Artificial Intelligence in Education (MAIEd) 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 multi-sensor 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.

AB - Following its launch in 2021, this 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 Multimodal Artificial Intelligence in Education (MAIEd) 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 multi-sensor 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.

KW - Automatic Feedback

KW - Educational scenarios

KW - Multimodality

KW - Sensor-based systems

UR - https://www.scopus.com/pages/publications/105013028449

U2 - 10.1007/978-3-031-99267-4_38

DO - 10.1007/978-3-031-99267-4_38

M3 - Conference Paper

AN - SCOPUS:105013028449

SN - 9783031992667

T3 - Communications in Computer and Information Science

SP - 292

EP - 299

BT - Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings

A2 - Cristea, Alexandra I.

A2 - Walker, Erin

A2 - Lu, Yu

A2 - Santos, Olga C.

A2 - Isotani, Seiji

PB - Springer

CY - Cham Switzerland

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ER -

Di Mitri D, Srivastava N, Fernandez Nieto G, Echeverria V, Cobos R, Tudur Sadashiva A et al. The Second International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’25). In Cristea AI, Walker E, Lu Y, Santos OC, Isotani S, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Proceedings. Cham Switzerland: Springer. 2025. p. 292-299. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-99267-4_38