This chapter looks into examining research studies of the last five years and presents the
state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we …

Using traces of behaviors to predict outcomes is useful in varied contexts ranging from buyer
behaviors to behaviors collected from smart-home devices. Increasingly, higher education …

Despite the explosion of interest in big data in higher education and the ensuing rush for
catch-all predictive algorithms, there has been relatively little focus on the pedagogical and …

Volumes of detailed information are now unobtrusively collected as students use learning
management systems and digital learning environments in their studies. This significantly …

Problem based learning (PBL) supports the development of transversal skills and could
underpin the training of a workforce competent to withstand the constant generation of new …

Little is known about the processes institutions use when discerning their readiness to
implement learning analytics. This study aims to address this gap in the literature by using …

Purpose Digital platforms increase their function and scope by leveraging boundary
resources and complementary add-on products from third-party developers to interact with …

A key notion conveyed by those who advocate for the use of data to enhance instruction is
an awareness that learning analytics has the potential to improve instruction and learning …

The growth of technology-rich data-driven decision environments is seen by some as a
challenge to the future relevance of Operational Research. Extant research remains …

Although higher education has historically been a data-rich sector, the move to fully online
learning and teaching dramatically increases the quantity and scope of data that institutions …