2nd International Workshop
“Education meets Process Mining" (EduPM 2023)
–This workshop is organized within the International Conference on Process Mining (ICPM 2023) in Rome (Italy) on October 23, 2023 —
- Abstract Submission (Regular – Show&Tell) : August 22, 2023
- Full Submission (Regular – Show&Tell) : August 28, 2023 (extended)
- Acceptance Notification (Regular – Show&Tell): September 19, 2023 (extended)
- Pre-Workshop Camera Ready (Regular): October 3, 2023
- Workshop Day: October 23, 2023
- Post-Workshop Camera Ready (Regular): November 7, 2023
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:
- Process Mining for Education (PM4Edu):
How could process mining be used to address some of the challenges in the field of education? E.g., Process Mining for learning analytics, curricular analytics, motivation trajectories, MOOCs and blended courses, self-regulated learning patterns, …
- Education for Process Mining (Edu4PM):
How could we improve the teaching of the Process Mining discipline? E.g., novel learning strategies tailored for Process Mining, new instruments to automatically assess specific topics of Process Mining, systematic studies of how Process Mining is being taught on different educational programs or levels, a novel curriculum around Process Mining, among others.
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 for Process Mining for Education (PM4Edu) include, but are not limited to:
- Process Mining for Learning Analytics
- Process Mining for Curricular Analytics
- Analysis of MOOC/SPOC/blended with Process Mining
- Novel frameworks and taxonomies of PM4Edu
- Event log collection and processing in Educational environments
- Self-Regulation and Self-Efficacy assessment through Process Mining
- Gamification through Process Mining
- Predicting and simulating educational processes with Process Mining
- Ethics and privacy for educational data gathering and processing though Process Mining
- PM4Edu for motivation trajectories and behavioral patterns analysis
- WACI (Wild And Crazy Ideas) for PM4Edu
The topics of interest for Education for Process Mining (Edu4PM) include, but are not limited to:
- New active learning methodologies for Edu4PM
- Design and Implementation of new resources for Edu4PM
- Novel assessment instruments for Edu4PM
- Feedback approaches tailored for Edu4PM
- Teaching the Process of Process Mining and Procedural Thinking
- Systematic studies of Edu4PM in different education dimensions
- Best Practices and Lessons Learned for Edu4PM
- New resources and Smart Learning Environments for Edu4PM
- Process Mining instructor professionalization and certification
- Teaching PM for underrepresented groups, including students with disabilities
- Success Case Studies and Application of Edu4PM
- WACI (Wild And Crazy Ideas) for Edu4PM
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.
Show & Tell
Besides Regular Paper contributions, the workshop also accepts “Show&Tell” submissions: non-research contributions, where authors present an interesting element or initiative for the EduPM community.
Some examples include:
- Cases: experiences in the application of a certain curriculum, teaching, or evaluation approach or methodology, including lessons learned, tips, and pitfalls to avoid.
- Resources: materials like course structures, slides, videos, exercises, or exams. Specially interested in event logs and databases with specific (injected) characteristics designed to support data preparation/process mining lectures and, ideally, equipped with exercises. A link to the material is highly encouraged for these types of submissions.
- Tools: showcases of innovative PM education tools, services, softwares, and applications. A link to demo videos showing the use of the tool is highly encouraged for these submissions.
- Lightning: contributions exploring tentative or preliminary work, or even new and untested ideas (ideas for possible work), or opportunities for collaborative work. Presentations of mature work will not be considered and must be submitted as Regular Paper. The purpose of a Lightning Contribution can be to start a discussion, find collaborators, or receive input and critique about an idea.
- Recognition: as a community we would like to recognize those professionals that have been awarded in their own institutions for their excellent teaching in a Process Mining related course. Send us the official recognition letter from your institution (or similar), join us at the awards session during the workshop, and share with us your secret.
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 Easychair submission system (see Submission section). At least one author of each accepted Show&Tell must register and participate in the workshop. 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.
Journal Special Issue
Authors of the best EduPM Regular papers (together with other best ICPM Workshops papers) will be invited to substantially extend the original workshop paper (20-25 pages long) for an special issue at Journal of Intelligent Information Systems by Springer and indexed in JCR.
Both Regular Papers and Show&Tell must be submitted electronically as a self-contained PDF file via the Easychair submission system: https://easychair.
It is a full-day workshop. The program includes the presentation of the Regular Papers, but also an interactive open-format session to present the Show&Tell contributions and discuss future community efforts.
Jorge Muñoz Gama
Pontificia Universidad Catolica (Chile)
University of St. Gallen (Switzerland)
Hasselt University (Belgium)
Wil van der Aalst
RWTH Aachen University (Germany)
This workshop is an initiative of the IEEE Task Force on Process Mining
- Wil van der Aalst – RWTH Aachen University
- Mitchel Brunings – Eindhoven University of Technology
- Andrea Burattin – Technical University of Denmark
- Daniel Calegari – Universidad de la República
- Jan Claes – Artevelde University of Applied Sciences
- Rebeca Cerezo – University of Oviedo
- Dragan Gasevic – Monash University
- Jerome Geyer-Klingeberg – Celonis
- Luciano Hidalgo – Pontificia Universidad Católica de Chile
- Gert Janssenswillen – Hasselt University
- Manuel Lama – University of Santiago de Compostela
- Sander Leemans – Queensland University of Technology
- Felix Mannhardt – Eindhoven University of Technology
- Jorge Maldonado-Mahauad – Universidad de Cuenca
- Niels Martin – Hasselt University
- Jorge Munoz-Gama – Pontificia Universidad Católica de Chile
- Peter Reimann – The University of Sydney
- Cristobal Romero – University of Cordova
- Mar Pérez-Sanagustín – Institut de Recherche en Informatique Toulouse (IRIT)
- Marcos Sepúlveda – Pontificia Universidad Católica de Chile
- Pnina Soffer – University of Haifa
- Emilio Sulis – University of Torino
- Ernest Teniente – Universitat Politècnica de Catalunya
- Jochen De Weerdt – KU Leuven
- Francesca Zerbato – University of St. Gallen