UKDE 2024

1st International Workshop on
User-Centered Practices of Knowledge Discovery in Educational Data

Side event at ACM UMAP 2024 Conference
July 01-04th 2024 (TBD), Campus Sant’Ignazio, Cagliari, Sardinia, Italy

Photo by Robin Ulrich via

Call for papers

The increasing amount of learning data, originated from a variety of learning contexts (e.g., Massive Open Online Courses - MOOCs, intelligent tutoring systems, and flipped classroom courses) is soliciting interesting educational research questions. Notable research directions include exploring and understanding how students learn and how people teach, as well as developing strategies for supporting learners and teachers effectively. Current research has greatly expanded our understanding on artificial intelligence, but data, methods, and tools applied to (online) education are still limited, and often do not cover different contexts or diverse types of learners, which would require tailored solutions in order to be effective.

Given the importance of this domain, top-tier research communities are giving increasing attention to knowledge discovery in educational data, but however, tend to work independently. On the one hand, the more technical-oriented research communities, such as UMAP, are developing effective general-purpose systems that adapt to individual users or groups of users, and that collect, represent, and model user information. On the other hand, the more education-oriented communities, such as Artificial Intelligence in Education (AIED), Educational Data Mining (EDM), and Learning Analytics and Knowledge (LAK) provide rich expertise on cognitive, psychological, and learning science perspectives as the intelligent methods they adopt or propose are specialised on educational data.
Complementary to these educational and technical perspectives, the increasing impact of algorithmic decision-making on education has brought about growth opportunities and concerns. Research on responsible user modelling has been growing, but this effort within the considered communities is still under-explored.

UKDE 2024 will be the UMAP's workshop event aimed at collecting high-quality, high-impact, original research on important problems related to the design and development of responsible knowledge discovery for teaching and learning.
The purpose of UKDE is to bridge theUMAP community with the educational sister communities, challenging all of them into a unique yet sensitive applicative scenario for advancing the field of responsible intelligent models that exploit data from educational environments. To this end, UKDE will promote contributions from researchers, academia, and industries working on topics addressing these challenges from a technical point of view, but also from an ethical, sociological, and cognitive perspective, with interdisciplinarity as the main driver.

We welcome contributions that address (but are not limited to) the following topics of interest:
  • Techniques and Models:
    • Modelling representations of learners from data;
    • Building representations of domain knowledge from data;
    • Multimodal/semantic approaches for learners' behaviour modelling or personalization;
    • Personalized support tools and systems for communities of learners;
    • Temporal, behavioural, and physiological analysis of learners' behaviour;
    • Systems that detect and/or adapt the platform to emotional states of learners;
    • Techniques to provide automated proctoring support during online examinations;
    • Developing fair and explainable models for different kinds of stakeholders;
    • Developing privacy-protecting algorithms for learners' data processing;
    • Modelling motivation, metacognition, and affective aspects of learning.
  • AI-assisted and Interactive Technologies:
    • Generative AI;
    • Semantic web technologies;
    • Multi-agent architectures;
    • Wearables;
    • Natural language processing and speech technologies;
    • Virtual and augmented reality.
  • Evaluation Protocol and Metric Formulation:
    • Performing auditing studies with respect to bias and fairness;
    • Defining objective metrics for knowledge discovery in education;
    • Formulating bias-aware protocols to evaluate existing algorithms;
    • Evaluating existing mitigation strategies in unexplored domains;
    • Comparative studies of existing evaluation protocols and strategies;
    • Analyzing efficiency and scalability issues of debiasing methods;
    • Replicating previous studies with different samples, domains and/or contexts.
  • Dataset Collection and Preparation:
    • New tools and systems for capturing educational data;
    • Integrating data from multiple (and diverse) data sources;
    • Creating datasets that allow to explore ethical dimensions;
    • Designing collection protocols tailored to responsible knowledge discovery.
  • Case Study Exploration:
    • Educational games;
    • Learning management systems;
    • Interactive simulations;
    • Intelligent tutoring.
Photo by Julia M Cameron from Pexels

Submission and publication

All submissions must be written in English. Papers should be submitted electronically, in a PDF format, through the EasyChair submission system, at the following link:

Format. We encourage two types of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format.

  • Long papers (14 pages at most plus additional pages for references; figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit) should report on substantial contributions of lasting value. They should reflect more complex innovations or studies and should have a more thorough discussion of related work.
  • Short papers (7 pages at most plus additional pages for references; figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit) typically discuss exciting new work that is not yet mature enough for a long paper – they are not “work-in-progress” reports but rather complete reports on a smaller or simpler-to-describe but complete research work on advances that can be described, set into context, and evaluated concisely. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation.

We recommend that supplementary material is linked to an external source using an anonymized link.

Anonymity. Submissions must be anonymous, given that ACM UMAP uses a double-blind review process. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. For instance, citations to the authors’ own prior work should be made in the third person. Failure to anonymize your submission could result in desk rejection. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub (

Templates. Following the ACM Publication Workflow (, all authors should submit manuscripts for review in the new ACM single-column format. Instructions for authors are given below:

Accessibility. Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures (

Submission Policy. All submissions and reviews will be handled electronically. ACM UMAP has a no dual submission policy, which is why submitted manuscripts should not be currently under review at another publication venue. Particularly, please consider the following ACM’s publication policies:

  1. “By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies (, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects ( Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.”
  2. “Please ensure that you and your co-authors obtain an ORCID ID (, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors ( The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalisation; your ORCID ID will help in these efforts.”

Proceedings. There will be conference adjunct proceedings published by ACM, and available via the ACM Digital Library. Accepted papers will require a further revision in order to meet the requirements and the page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimise the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues.

Important dates

Apr 24 30 2024

Paper Submission deadline

May 8 2024

Accept/Reject Notification

May 16 2024

Camera-ready submission (TAPS system)

Jul 1-4 2024

Workshop (TBD)

Program Co-Chairs


Francesca Maridina Malloci

University of Cagliari


Paola Mejia

École Polytechnique Fédérale de Lausanne


Agathe Merceron

Berliner Hochschule für Technik


Anna Monreale

University of Pisa


Daniela Rotelli

University of Pisa

Program Committee





The event will take place at ACM UMAP 2024 Conference at Campus Sant’Ignazio, Cagliari, Sardinia, Italy

Registration And Presentation Policy

Each accepted workshop paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted workshop paper can be presented either in person or online and will be included in the conference adjunct proceedings. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work.


The UKDE event was organised as part of the project (Prot. IR0000013 - Call n. 3264 of 12/28/2021) initiatives aimed at training new users and communities in the usage of the research infrastructure ( receives funding from European Union - NextGenerationEU - National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) - Project: “ - Strengthening the Italian RI for Social Mining and Big Data Analytics” - Prot. IR0000013 - Avviso n. 3264 del 28/12/2021.


All inquiries should be sent to: