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Workshop EduRS - Recommender Systems in Education

[15.04.2025]

The CATALPA project AI.EDU 2.0 invites you to a workshop at the DELFI Conference on Educational Technologies (8.-10. September 2025 in Freiberg). It is the second workshop at the DELFI conference and again focuses on educational recommender systems in the context of Higher Education.

KI-generiertes Symbolbild. Prompt: Please create an image for a scientific workshop around the topic of recommenders. Image: KI-generiertes Bild

Topic

Recommender systems are used in a variety of domains to provide users with recommendations that may be of interest to them. Increased research into the application of such systems in Higher Education and their supplementation with technologies such as large language models have the potential to improve the quality of available systems. These developments could, in turn, enhance the ability of recommender systems in Higher Education to support students by enabling them to make more informed decisions about which resources to use or which learning activities to pursue next, and thus to foster student ownership.

Description

EduRS 2025 – Recommender Systems in Education: Enhancing Higher Education for Personalized 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.

Through engaging discussions, case studies, and demonstrations, EduRS 2025 will provide educators, technologists, and researchers with the insights and tools necessary to advance higher education. We invite you to join us for submission and participation to share your innovative ideas, research and solutions that leverage technology to make education more personalized, inclusive, and future-ready.

Workshop Themes and Topics

EduRS 2025 will feature a variety of sessions that cover but are not limited to:

  • Theoretical algorithms, models, frameworks, for recommender systems in education.
  • Innovations in LLMs that enhance the accuracy and effectiveness of recommendations.
  • New challenges of traditional recommender systems, e.g. knowledge-based, multi-criteria and cross-domain recommendations.
  • Case studies highlighting successful implementations of personalized learning environments.
  • Privacy, bias, fairness, and ethical considerations of AI in higher education.
  • Building trustworthiness and transparency into the design of recommender systems.

CfP in PDF format

Wsrecommender 800x533Foto: KI-generiertes Bild

Download (PDF 104 KB) / English)

Important Dates

  • 15. Juli: Submission deadline
  • 15. August: Notifications of acceptance
  • 25. August: Submission of camera-ready version
  • 08. - 10. September: EduRS 2025 Workshop at the DELFI Conference in Freiberg

EduRS 2025 combines the classic 'mini-conferences' approach with a technology showroom and working group meetings around a specific problem.

Upload your submission to EduRS 2025 EasyChair submission system.

 

Organisers

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