FMTea 2026 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:
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Experiences and proposals related to “traditional” and online FM learning and teaching;
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Innovative learning/teaching methods (e.g., automated grading/feedback using LLMs);
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Integrating/embedding formal methods within other computer science courses;
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Integrating/embedding FM teaching/thinking within other computer science courses;
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Teaching formal methods for industry;
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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.
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 All submissions must be original, unpublished, not submitted for publication elsewhere, and written in English.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.

Submissions must be in PDF format, using the Springer
LNCS format. 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:
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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.
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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.
Springer Nature Code of Conduct: link.