Process Mining has proven to be a powerful interdisciplinary tool for addressing open challenges in several fields such as healthcare or finances … and Education is no exception. The recent Process Mining approaches proposed for learning analytics, curricular analytics, or MOOC analytics are just some examples. But the Education discipline is also contributing to Process Mining, providing best practices, lessons learned, and new artifacts for better teaching and assessing Process Mining.

The International Workshop on Education meets Process Mining (EduPM) aims at providing a high-quality forum for the intersection of Education and Process Mining. This intersection goes in both directions:

Submitted works should fall in one of the two categories: 1) Process Mining for Education or 2) Education for Process Mining. Education is a broad umbrella that includes all types of education: primary, secondary, professional, online, in-company, etc. The workshop aims at both more theoretical contributions such as new techniques and algorithms, and more applied contributions such as methodologies, systematic studies, and empirical contributions such as user and case studies. The topics of interest include, but are not limited to:

Submitted “Regular Papers” must be a research contribution, and will be evaluated on the basis of significance, originality, technical quality, and potential to generate relevant discussion. Submissions must use the Springer LNCS/LNBIP. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should clarify the relation of the paper with the workshop main topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Papers should be submitted electronically as a self-contained PDF file via the Easychair submission system  (see Submission section)  . Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Accepted papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop.

Besides Regular Paper contributions, the workshop also accepts “Show&Tell” submissions: non-research contributions outside of the Regular Paper proceedings, where authors present an interesting element or initiative for the EduPM community. To be able to present a Show&Tell, authors must submit a document summarizing their contribution and clearly stating the impact and benefits for the EduPM community. The format is free but submissions must be in English and must not exceed 2 pages. Submissions must be submitted electronically as a self-contained PDF file via the submission system (see Submission section). The final format of an interactive session to present all the Show&Tell contributions will be determined by the organizers, based on the number and nature of the accepted contributions. At least one author of each accepted Show&Tell must register and participate in the workshop. 

Authors of the best EduPM Regular papers (together with other best ICPM Workshops papers) have be invited to substantially extend the original workshop paper (20-25 pages long) for the Process Science journal. The invitation includes a fast track option and an open-access fee waiver, ensuring there is no cost for the authors.

Best authors will be announced during EduPM conference.

Both Regular Papers and Show&Tell must be submitted electronically as a self-contained PDF file via the Easychair submission system. Deadlines are available at the Important Dates section.

This workshop is part of the International Conference on Process Mining (ICPM 2024) All registration procedure and logistics information are managed directly by ICPM.