IS Education and e-Learning

Topics of interest include, but are not limited to:

IS curriculum design, innovation and model curricula
Innovative approaches and strategies to IT-enabled IS or STEAM (science, technology, engineering, arts and mathematics) education
Big data analytics, predictive modelling and intelligence for improving IS educations
Educational data mining and learning analytics, modeling of learners and learning processes, behavioral and emotional analytics, learning data visualization, quantified self
Learning at scale, linked open data, standard for knowledge sharing, interoperability of learning systems, semantics and knowledge graphs in e-learning
Flipped classroom and learner generated content
Open learning, MOOC, open educational resources, open courseware and open educational practices for IS
Intelligent systems, adaptive learning, recommender systems, tools for smart tutoring and training, learning content personalization
Social computing, social media for e-learning and e-assessment, informal learning in social communities, peer review and assessment, trust and reputation in social communities
Blended learning environment, Virtual Reality (VR) and Augmented Reality (AR) in IS education, learning through gamification, edutainment
Contemporary digital technologies for active or other learning method in improving classroom participations, engagements and activities
Work integrated learning, problem-based learning and professional education for IS discipline
Lifelong learning and education

Track Co-Chairs:

Shah J Miah, Victoria University, Melbourne, Australia
Mengxiang Li, Hong Kkong Baptist University, Hong Kkong SAR
Jun Shen, University of Wollongong, Australia