Workshop Description

March 4, 2025 | 9:00 AM - 5:00 PM

​​Multimodal data integration is one of the major analytical challenges for Multimodal Learning Analytics (MMLA). Continuing conversations begun in previous LAK CROSSMMLA workshops, this workshop will focus on a relatively new conceptual and methodological framework, Transmodal Analysis (TMA), that potentially addresses the data integration challenge by using a functions-not-fusion approach.

In this workshop, TMA adopters, MMLA methodologists, and learning scientists will discuss the affordances and challenges of this new approach. Participants will gain hands-on experience and learn how to use TMA on their own multimodal data. This workshop, thus, provides a venue for the MMLA SIG and others interested in MMLA to exchange expertise and develop future collaborations.

Workshop Events:

During this full-day workshop, up to 30 participants will (a) learn about the conceptual and methodological underpinnings of TMA, (b) hear from 7 MMLA scholars who have used TMA about their findings and experiences, (c) develop TMA models using their own multimodal data, and (d) participate in a facilitated discussion of the affordances of TMA and opportunities for further methodological development. Participants, regardless of analytical skill level and epistemological stance toward multimodal learning analytics, will be able to participate in all aspects of the workshop.

Agenda

Workshop Survey:

To maximize the benefits of this full-day workshop, you are required to fill out this short survey (~5 mins) about your research interests and contexts.

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Important Dates:

Workshop Co-Leaders:

Yeyu Wang
Graduate Student Researcher
Department of Educational Psychology,
University of Wisconsin–Madison

Liv Nøhr
Graduate Student Researcher
Department of Science Education,
University of Copenhagen

Zack Carpenter
Graduate Student Researcher
Department of Educational Psychology,
University of Minnesota

Crina Damşa
Professor
Faculty of Educational Sciences,
University of Oslo

David DeLiema
Assistant Professor
Department of Educational Psychology,
University of Minnesota

Sanna Järvelä
Professor
Faculty of Education and Psychology,
University of Oulu

Andy Nguyen
Assistant Professor
Faculty of Education and Psychology,
University of Oulu

Daniel Spikol
Associate Professor
Department of Science Education,
University of Copenhagen

Zachari Swiecki
Senior Lecturer
Department of Human Centred Computing,
Monash University

David Williamson Shaffer
Professor
Department of Educational Psychology,
University of Wisconsin–Madison

Brendan Eagan
Principal Investigator
Center for Research on Complex Thinking,
University of Wisconsin–Madison

Rogers Kaliisa
Postdoctoral Fellow
Faculty of Educational Sciences,
University of Oslo

Andrew Ruis
Associate Director
Center for Research on Complex Thinking,
University of Wisconsin–Madison

Mamta Shah
Senior Learning Scientist
Elsevier

Previous publications using TMA:

Borchers, C., Wang, Y., Karumbaiah, S., Ashiq, M., Shaffer, D. W., & Aleven, V. (2024). Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 371–381).

Wang, Y., Shah, M., Jimenez, F. A., Wilson, C., Ashiq, M., Eagan, B., & Shaffer, D. W. (2023). Developing Nursing Students’ Practice Readiness with Shadow Health® Digital Clinical Experiences™: A Transmodal Analysis. In G. Arastoopour Irgens & S. Knight (Eds.), Advances in Quantitative Ethnography: 5th International Conference, ICQE 2023, Melbourne, VIC, Australia, October 8–12, 2023, Proceedings (pp. 365–380). Springer.