Organizing Online Computation for Adaptive Micro Open Education Resource Recommendation

Authors

Geng Sun, University of WollongongFollow
Tingru Cui, University of WollongongFollow
Ghassan Beydoun, University of WollongongFollow
Shiping Chen, CSIRO ICT CentreFollow
Dongming Xu, University of QueenslandFollow
Jun Shen, University of WollongongFollow

RIS ID

114056

Publication Details

Sun, G., Cui, T., Beydoun, G., Chen, S., Xu, D. & Shen, J. (2017). Organizing Online Computation for Adaptive Micro Open Education Resource Recommendation. Lecture Notes in Computer Science, 10473 177-182. Cape Town, South Africa ICWL 2017

Abstract

Our previous work, Micro Learning as a Service (MLaaS), aimed to deliver adaptive micro open education resources (OERs). However, relying solely on the offline computation, the recommendation lacks rationality and timeliness. It is also difficult to make the first recommendation to a new learner. In this paper we introduce the organization of the online computation of the MLaaS. It targets at solving the cold start problem due to the shortage of learner information and real-time updates of the learner-micro OER profile