CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Proportional Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Elvira Popescu <[log in to unmask]>
Reply To:
Elvira Popescu <[log in to unmask]>
Date:
Tue, 21 Apr 2020 16:34:58 +0300
Content-Type:
text/plain
Parts/Attachments:
text/plain (108 lines)
First International Workshop on Intelligence Support for Mentoring
Processes in Higher Education (IMHE 2020)

at ITS 2020 (16th International Conference on Intelligent Tutoring Systems)
8-12 June 2020
https://its2020.iis-international.org/


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


== Paper submission and publication

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:
https://easychair.org/conferences/?conf=imhe2020.

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 also develop the workshop contributions into
an article collection in Frontiers of Artificial Intelligence.


== Important dates

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
TBA - 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)
Elvira Popescu (University of Craiova, Romania)
Viktoria Pammer-Schindler (Graz University of Technology, Austria)

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2