University of Wollongong
Browse

Towards Massive Data and Sparse Data in Adaptive Micro Open Educational Resource Recommendation: A Study on Semantic Knowledge Base Construction and Cold Start Problem

Download (1.26 MB)
journal contribution
posted on 2024-11-15, 17:01 authored by Geng Sun, Tingru Cui, Ghassan BeydounGhassan Beydoun, Shiping Chen, Fang Dong, Dongming Xu, Jun ShenJun Shen
Micro Learning through open educational resources (OERs) is becoming increasingly popular. However, adaptive micro learning support remains inadequate by current OER platforms. To address this, our smart system, Micro Learning as a Service (MLaaS), aims to deliver personalized OER with micro learning to satisfy their real-time needs.

History

Citation

Sun, G., Cui, T., Beydoun, G., Chen, S., Dong, F., Xu, D. & Shen, J. (2017). Towards Massive Data and Sparse Data in Adaptive Micro Open Educational Resource Recommendation: A Study on Semantic Knowledge Base Construction and Cold Start Problem. Sustainability, 9 (6), 898-1-898-21.

Journal title

Sustainability (Switzerland)

Volume

9

Issue

6

Language

English

RIS ID

113086

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC