IMS2018: Third International Workshop on Intelligent Mentoring Systems

Held in conjunction with the 19th International Conference on
Artificial Intelligence in Education, AIED2018
London, UK, 27- 30 June 2018

Mentoring is crucial for professional development and lifelong learning. It is seen by organisations as the most cost-effective and sustainable method for developing talent, for building transferable skills, for increasing motivation and confidence, for assisting with transitions across formal and informal education, for learning across workplace contexts, and for continuous career development. Studies show that investment in virtual mentors can help companies build the skills, productivity, engagement, and loyalty of their workforces. The time is ripe for the emergence of a new breed of intelligent learning systems that provide mentor-like features.

• Virtual mentors would be able to facilitate self-actualisation, helping learners realise their full potential.
• They would require a multi-faceted learner experience modelling mechanisms to get sufficient understanding of the learner, his/her current situation, and relevance to past experiences by the same learner (or by other people).
• They would embed new pedagogic strategies for promoting reflection, self-awareness, self-regulation, and self-determination through interactive interventions (e.g. open learner models, interactive conversational agents, social spaces), as well as new knowledge models formed by establishing connections and associations.

Developing intelligent mentoring systems requires deep understanding of complex issues such as learner modeling, technological capabilities, and contextual understanding, among many others. To foster this understanding, we invite the international community of AIED researchers to contribute to and shape the discussion of this stream of research in a collaborative workshop.

This third edition of a workshop series will foster scientific discussion and sharing experience among researchers and practitioners to establish the state of the art and shape future directions around four main themes associated with intelligent mentoring systems – foundations, technology, and domains and contexts.