Workshop Themes

The main themes which will be discussed at IMS2017 have been derived from the discussion at the first workshop on Intelligent Mentoring Systems (IMS2016):

FOUNDATIONS: What are the key mentoring features; and what theories are they underpinned by?

Example topics include, but are not limited to:

  • Main definitions – mentoring, coaching, advising;
  • Main mentoring features – contextual understanding, nudging, challenging, motivating;
  • Scope – difference between virtual mentors and virtual tutors;
  • Methodologies – design-based research, ecological validity, evaluation;
  • Pedagogical models – self-regulated learning, reflexive learning, social learning, vicarious learning, crossover learning, transitions

TECHNOLOGY: What computational models are required to realise mentor-like features; and what are the opportunities and challenges brought by these models?

Example computational models include, but are not limited to:

  • Social interaction spaces
  • Situational simulations
  • Open/interactive learner models
  • Visualisations
  • Interactive pedagogical agents
  • Contextualised nudges
  • Mobile assistants
  • Cognitive computing
  • Wearable technology and sensors

DOMAINS AND CONTEXTS: What challenges are faced in traditional and emerging domains and contexts; and how mentor-like features can address these challenges?

Example domains/contexts include, but are not limited to:

  • Peer mentoring
  • Personalised assistants/buddies
  • Social learning
  • Flipped classroom
  • Workplace learning
  • Career advisors
  • Transferable skills
  • Tutor/mentor support

 

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