CoALA: Contextualization Framework for Smart Learning Analytics
Reza Soltanpoor, Ali Yavari · 2017
Learning Analytics (LA) has become a prominent paradigm in the context of education lately which adopts the recent advancements of technology such as cloud computing, big data processing, and Internet of Things. LA also requires an intensive amount of processing resources to generate relevant analytical results. However, the traditional approaches have been inefficient at tackling LA challenges such as real-time, high performance, and scalable processing of heterogeneous datasets and streaming data. An Internet of Things (IoT) scalable, distributed and high performance framework has the potential to address mentioned LA challenges by efficient contextualization of data. In this paper, CoALA, a Smart Learning Analytics conceptual model is proposed to improve the effectiveness of LA by utilizing an IoT-based contextualization framework in terms of performance, scalability, and efficiency.