Call for Participation: Workshop on Recommender Systems


The CATALPA project AI.EDU 2.0 invites you to a workshop at the DELFI Conference on Educational Technologies (September 9-11, 2024 in Fulda). The focus is on recommender systems in the context of higher education. Deadline for the Call for Participation is July 15, 2024.


Image: Lexica (KI-generated)


While recommender systems in general are used to suggest items of interest to users in a wide variety of domains, each domain presents its own specific challenge. Recently there has been growing interest in recommender systems in educational settings. In this context recommender systems have been used to e.g., recommend different resources, activities or content related to learning, recommend learning sequences or paths, learning partners or even courses, curricula as well as educational institutions to different stakeholders.

Increased research into the application of such systems in higher education, ethical considerations, and increased interest in complementary technologies such as large language models have the potential to improve the quality of available systems. In turn, these developments may improve the ability of recommender systems in higher education to support students in particular, allowing for more informed decisions about e.g. what resources to use or activities to engage in next, facilitating learner agency in the process.


EduRS 2024 – Recommender Systems in Education: Enhancing Higher Education for Personalized and Long-Life Learning delves into the critical role of technology in enhancing transparency and traceability in educational content and pathways. This workshop is designed to foster a deeper understanding of how recommender systems, that are powered by large language models and AI, can be strategically integrated into the open education ecosystem to provide personalized, adaptive learning experiences for every learner.

Workshop Themes and Topics: EduRS 2024 will feature a variety of sessions, including presentations, panel discussions, and hands-on workshops that cover but not limit to:

  • Theoretical algorithms, models, frameworks, for recommender systems in education.
  • Performance, implementations, and evaluation methodology of recommender systems.
  • Innovations in large language models that enhance the accuracy and effectiveness of recommendations.
  • New applications and challenges of traditional recommender systems, e.g., knowledge-based, multi-criteria and cross-domain recommendations.
  • Case studies highlighting successful implementations of personalized learningenvironments.
  • Privacy, bias, fairness, and ethical considerations and challenges in the application of AI in education.
  • Techniques for integrating recommender systems into existing educational platforms and curriculums.
  • Use of recommendations to support learning processes.
  • Building trustworthiness and transparency into the design of recommender systems.

CfP in PDF format

Foto: Lexica (KI-generiert)

Download (PDF 105 KB) / English)

Important Dates

March 28th Launch of the workshop website and send out call for participation.
July 15th Submission deadline.
August 9th Send out notifications of acceptance.
August 23rd Camera-ready versions
September 9th-11th EduRS 2024 workshop at DELFI conference in Fulda.

Call for Participation and Submission: In line with the conference's theme, we encourage submissions that highlight the use of openly available technology to support higher education through personalized learning. We welcome academic papers, project reports, and technology demos that showcase innovative practices, challenges overcome, and insights gained in the application of recommender systems to education.

Workshop Format: EduRS 2024 combines the classic 'mini-conferences' approach with technology showroom and working group meetings around a specific problem. Authors present their work (8-10 min) followed questions (5-7 min). All accepted submissions will be listed on the workshop’s website before the event.

Submission Guideline

  • We invite contributions with up to 6 pages excluding bibliography.
  • Submissions should follow the DELFI LNI format.
  • Submissions in German or English are possible, however all presentations are held in English.
  • Submissions should be properly blinded from authors’ identities and affiliations.
  • Submissions should be uploaded in PDF format through the EasyChair system.
  • Submissions will be reviewed by members of the workshop program committee.
  • Accepted submissions will be presented in the workshop and included in the workshop proceedings.


Niels PinkwartFoto: Jan Kopankiewicz

Niels Pinkwart, DFKI

Claudia de WittFoto: FernUniversität

Claudia de Witt, FernUniversität in Hagen, CATALPA

Xia WangFoto: Privat

Xia Wang, DFKI

Nghia Duong-TrungFoto: Privat

Nghia Duong-Trung, DFKI

Silke WredeFoto: Hardy Welsch

Silke Wrede, FernUniversität in Hagen, CATALPA

Lars-van-rijn-schipper-2022Foto: Henrik Schipper

Lars van Rijn, FernUniversität in Hagen, CATALPA