IMHE 2020

First International Workshop “Intelligence Support for Mentoring Processes in Higher Education (IMHE 2020)” at ITS 2020

Website: https://its2020.iis-international.org/

Due to many requests, we extended the deadline to April 27, 2020.

Mentoring is the activity of a senior person (the mentor) sharing domain knowledge to a less experienced person (the mentee). Mentoring support is based on a trustful, protected and private atmosphere between the mentor and the mentee. The goal is to develop a professional identity and to reflect the current situation. At universities, mentors are senior academics or skilled employees while mentees are mostly students with different competences. Intelligent tutoring systems have a long tradition, focusing on cognitive aspects of learning in a selected domain. They were successfully applied especially in such areas, where the domain knowledge can be well formalised with the help of experts. Nevertheless, in the learning process also motivations, emotions and meta-cognitive competences play a crucial role. These can be nowadays quite well recognised and monitored through big educational data and a wide spectrum of available sensors. This enables the support also for the mentoring process, which is more spontaneous, holistic and depends on the needs and interests of the mentee.

Psychological and emotional support are at the heart of the mentoring relationship, underpinned by empathy and trust. Various roles and success factors for mentoring have been identified as well.

We want to look at these aspects and investigate how they were technologically supported, in order to specify the requirements for intelligent mentoring systems. This should help us to answer the following questions: How can we design educational concepts that enable a scalable individual mentoring in the development of competences? How can we design intelligent mentoring systems to cover typical challenges and to scale up mentoring support in universities? How can we design an infrastructure to exchange data between universities in a private and secure way to scale up on the inter-university level. How can we integrate heterogeneous data sources (learning management systems, sensors, social networking sites) to facilitate learning analytics supporting mentoring processes?

Topics include but are not limited to:

  • Pedagogical models of mentoring
  • Peer mentoring & crowdsourcing mentoring
  • Workplace & career mentoring
  • Meta-cognitive competences of mentoring
  • Chatbots in Mentoring
  • Mixed Reality Mentoring
  • Wearables and Sensors for mentoring
  • Self-regulated mentoring, nudging & behaviour change
  • Mentoring analytics
  • Mentoring support in learning management systems
  • Mobile mentoring support
  • Design and research methodologies for mentoring support
  • Measuring and Analysing mentoring support
  • Visualization techniques for mentoring support
  • Motivation and gamification of mentoring support
  • Deep learning, machine learning and data mining in mentoring support
  • Recommender technologies for mentoring support (mentor-mentee matching)
  • Semantic technologies for mentoring support (ontologies, domain & mentoring models)
  • Distributed mentoring environments (cloud & p2p platforms)
  • Mentoring for specific domains & subjects (math, engineering, social sciences, pedagogy)
  • Affective computing for mentoring
  • Requirements of intelligent mentoring systems

Submission and Deadlines

Position papers should be written in English and they should be 6-8 pages in LNCS format. Please submit your papers as a PDF document via EasyChair(click submission link here). All

submissions will be subject to a double-blind review process. A publication of the accepted papers is planned as a volume in the CEUR-WS.org series. We will develop the workshop contributions into an article collection in Frontiers of Artificial Intelligence.

Key dates are:

27 April 2020 – Paper submission deadline (Extended)

8 May 2020  –  Notification of acceptance/rejection

20 May 2020 – Deadline for authors to submit final manuscript for publication

To be announced –  Deadline for at least one author of each paper to register for the workshop

Workshop Organizers

  • Ralf Klamma (RWTH Aachen University, Germany)
  • Milos Kravcik (DFKI, Germany)
  • Elivira Popescu (University of Craiova, Romania)
  • Viktoria Pammer-Schindler (Graz University of Technology, Austria)

Program Committee (tentative)

  • Marcus Specht, Technical University of Delft, The Netherlands
  • Michaela Cocea, University of Portsmouth, UK
  • Susanne Lajoie, McGill University, Canada
  • Galia Angelova, Bulgarian Academy of Science, Bulgaria
  • Tobias Ley, Tallinn University, Estonia
  • Hendrik Drachsler, University of Frankfurt and DIPF, Germany
  • Marco Kalz, Pedagogical University of Heidelberg, Germany
  • Davinia Hernández-Leo,University Pompeu Fabra, Barcelona, Spain
  • Vania Dimitrova, University of Leeds, UK
  • Katrien Verbert, KU Leuven, Belgium
  • Effie Law, University of Leicester, UK
  • Sebastian H.D. Fiedler, Nürtingen-Geislingen University (HfWU), Germany
  • Ilona Buchem, Beuth University of Applied Science, Berlin, Germany
  • Elise Lavoué, University Lyon 3, France
  • Maren Scheffel, Open University of the Netherlands, The Netherlands
  • Anoush Margaryan, Copenhagen Business School, Denmark
  • Olga C. Santos, Grupo aDeNu, Madrid, Spain
  • Eelco Herder, Radboud University Nijmegen, The Netherlands
  • Carlos Delgado Kloos, University Carlos III, Madrid, Spain
  • Dragan Gasevic, Monash University, Australia
  • Mohammad Al Smadi, Jordan University of Science and Technology, Jordan
  • Isa Jahnke, University of Missouri, US
  • Martin Ebner, TU Graz, Austria
  • Maiga Chang, Athabasca University, Canada
  • Tamas Horvath, ELTE Budapest, Hungary
  • Zuzana Kubincova, Comenius University, Slovakia
  • Martin Homola, Comenius University, Slovakia
  • Philippe Dessus, Université Grenoble Alpes, France
  • Sabine Graf, Athabasca University, Canada
  • Marco Temperini, Sapienza University of Rome, Italy