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IMS 2016 : First International Workshop on Intelligent Mentoring Systems in conjunction with ITS2016 | |||||||||||||||
Link: https://imsworkshop.wordpress.com/ | |||||||||||||||
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Call For Papers | |||||||||||||||
First International Workshop on Intelligent mentoring Systems (IMS2016) to be held in conjunction with ITS2016 (https://imsworkshop.wordpress.com/)
In the world of professional development and lifelong learning, mentoring has become an important ingredient to assist learners to progress, to transit from one phase into another (e.g. from formal education to on-the-job training). Within digital learning environments, it is timely to provide a new breed of intelligent learning systems that provide mentor-like features to promote learner’s ‘self-actualisation’. Crucial for intelligent mentors will be the ability to help learners connect their learning that is usually acquired through digital resources with the real world, which brings forth the key challenge that the workshop aims to address. This workshop will make a major step in consolidating effort and shaping a research community by providing a forum that explores: • contextual understanding and broadening the scope of learner modelling (learning attitudes, cultural diversity, gender diversity, experience) • support/scaffolding for metacognitive skills and contextualising self-regulated learning in the real world • integration of long term learner modelling with short-term, session-based learner modelling (macro vs micro level of learner modelling) • methods/models that can be used for behaviour change • appropriate technologies (social spaces, digital media, pervasive systems, e-books/hypertext) • techniques for intelligent support and crowdsourcing wisdom. Submissions: We accept full papers (up to 10 pages), short papers (up to 6 pages). Important dates: Submissions due: 31 March 2016. Author notification due: 20 April 2016. Final camera ready version due: 6 May 2016 Workshop Co-chairs Vania Dimitrova, University of Leeds, UK Lydia Lau, University of Leeds, UK Amai Weerasinghe, University of Adelaide, Australia Antonija Mitrovic, University of Canterbury, NZ -- Dr. Amali Weerasinghe Lecturer School of Computer Science The University of Adelaide Australia SA 5005 amali.weerasinghe@adelaide.edu.au |
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