[fg-arc] Call for Papers: Formal Methods Teaching Workshop (FMTea 2026)

[Gustavo Carvalho]

Dear Colleagues,

We would like to draw your attention to *FMTea 2026*, an event affiliated
with the *27th International Symposium on Formal Methods* (FM 2026). FMTea
is devoted to the discussion and exchange of ideas on effective approaches
to teaching Formal Methods.

Please accept our apologies if you receive this message more than once.

For further details, including the Call for Papers, please visit:

* Website: https://fmtea.github.io/
* EasyChair Smart CFP: https://easychair.org/cfp/fmtea2026)

We would be grateful if you could help us disseminate this call within your
communities.

Best regards,
Gustavo and Tsutomu
FMTea 2026 PC Chairs

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CALL FOR PAPERS

FMTea 2026 (https://fmtea.github.io/) invites high-quality papers reporting
on opinions, approaches, and experiences related to the topic of teaching
Formal Methods. We welcome papers discussing the successes and failures of
various methods, case studies, tools, etc. As self-learning is an emerging
aspect of formal methods, we appreciate experiences with online teaching,
including experiences with teaching formal methods via MOOCs. A
non-exhaustive list of topics of interest for the workshop is as follows:


   -

   Experiences and proposals related to "traditional" and online FM
   learning and teaching;
   -

   Innovative learning/teaching methods (e.g., automated grading/feedback
   using LLMs);
   -

   Integrating/embedding formal methods within other computer science
   courses;
   -

   Integrating/embedding FM teaching/thinking within other computer science
   courses;
   -

   Teaching formal methods for industry;
   -

   Student projects, including group projects.


If applicable, we encourage authors to provide the following information in
the paper: degree and level of students, delivery mode (in person,
synchronous or asynchronous, blended, flipped classroom, etc.), number of
students, assessment dynamics, languages and tools addressed.

Venue

FMTea 2026 is an event affiliated with FM 2026, the 27th International
Symposium on Formal Methods (https://conf.researchr.org/home/fm-2026), and
supported by the Teaching Committee (https://fme-teaching.github.io/) of
the Formal Methods Europe (https://www.fmeurope.org/) Association.

Important Dates

February 22, 2026: deadline for submitting abstracts (extended – AoE, hard
deadline)

February 22, 2026: deadline for submitting papers (extended – AoE, hard
deadline)

March 15, 2026: deadline for notifying authors (extended)

March 29, 2026: deadline for camera-ready version

May 19, 2026: FMTea 2026 Workshop

Submission Details

Each submitted paper will be reviewed by at least three PC members.
Reviewing is single-blind. All submissions must be original, unpublished,
not submitted for publication elsewhere, and written in English. The
proceedings will be published in the Formal Methods Teaching series of
Springer’s Lecture Notes in Computer Science (
https://link.springer.com/conference/tfm).

Submissions must be in PDF format, using the Springer LNCS format (
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
Papers should not exceed 15 pages (excluding references and appendices) in
length. Submissions should be made using the FMTea 2026 EasyChair website:

https://easychair.org/conferences?conf=fmtea2026

All accepted papers must be presented at the workshop. Their authors must
be prepared to sign a copyright transfer statement. At least one author of
each accepted paper must register to the conference by an early date, to be
indicated by the FM 2026 organizers, and present the paper.

Use of AI by authors

FMTea 2026 adheres to Springer's policy on AI use in papers. In brief:


   -

   Use of an LLM should be properly documented in the Methods section (and
   if a Methods section is not available, in a suitable alternative part) of
   the manuscript.
   -

   The use of an LLM (or other AI-tool) for “AI assisted copy editing”
   purposes does not need to be declared.


For further information, see the full policy:
https://link.springer.com/brands/springer/journal-policies#Artificial%20intelligence%20(AI)
.

Springer Nature Code of Conduct:
https://www.springernature.com/gp/authors/book-authors-code-of-conduct.

Program Committee

Erika Abraham, RWTH Aachen University, Germany

Sandrine Blazy, University of Rennes - IRISA, France

Gustavo Carvalho, Universidade Federal de Pernambuco, Brazil

Brijesh Dongol, University of Surrey, United Kingdom

Catherine Dubois, ENSIIE-Samovar, France

Tsutomu Kobayashi, Japan Aerospace Exploration Agency, Japan

Thierry Lecomte, CLEARSY, France

Michael Leuschel, University of Düsseldorf, Germany

Tim Nelson, Brown University, United States of America

Marcel Oliveira, Universidade Federal do Rio Grande do Norte, Brazil

David Pearce, Victoria University of Wellington, New Zealand

Luigia Petre, Åbo Akademi University, Finland

Leila Ribeiro, Universidade Federal do Rio Grande do Sul, Brazil

Pierluigi San Pietro, Politecnico di Milano, Italy

Emil Sekerinski, McMaster University, Canada

Graeme Smith, The University of Queensland, Australia

Program Chairs

Gustavo Carvalho, Universidade Federal de Pernambuco, Brazil

Tsutomu Kobayashi, Japan Aerospace Exploration Agency, Japan
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