Now showing items 1-2 of 2

  • Harnessing background knowledge for e-learning recommendation. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-47175-4_1, 2016-11-05)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2016. Harnessing background knowledge for e-learning recommendation. In Bramer, M. and Petridis, M. (eds.) 2016. Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV: proceedings of the 36th SGAI nternational conference on innovative techniques and applications of artificial intelligence (AI-2016), 13-15 December 2016, Cambridge, UK. Cham: Springer [online], pages 3-17. Available from: https://dx.doi.org/10.1007/978-3-319-47175-4_1
    The growing availability of good quality, learning-focused content on the Web makes it an excellent source of resources for e-learning systems. However, learners can find it hard to retrieve material well-aligned with ...
  • Knowledge driven approaches to e-learning recommendation. 

    Mbipom, Blessing (Robert Gordon University School of Computing Science and Digital Media, 2018-05-01)
    MBIPOM, B. 2018. Knowledge driven approaches to e-learning recommendation. Robert Gordon University, PhD thesis.
    Learners often have difficulty finding and retrieving relevant learning materials to support their learning goals because of two main challenges. The vocabulary learners use to describe their goals is different from that ...