With the rapid development of massive online open course (MOOC), Web 2.0 online communities, social media, and mobile technologies in the big data era, there has been a fast increase of learning resources such as online learning communities, open course videos, and learning materials (e.g., web pages, animations and documents). Such a large volume of learning data requires users to build up effective skills of information organisation and management. To achieve this goal, it is essential to develop powerful and versatile user model, containing various user information such as learning preferences, styles, backgrounds, pre-knowledge and contexts. This user model can be exploited and applied to a range of web-based learning applications such as personalised learning paths discovery (Feng et al., 2010), learning resource recommendations (Xie et al., 2016), course opinions (Bhatt and Kumar, 2014) and sentiment analysis (Rao et al., 2016).
|Number of pages||4|
|Journal||International Journal of Innovation and Learning|
|Publication status||Published - 2018|