In this study we explore the use of recommender systems as a means of providing
automated and personalized feedback to students following summative assessment. The …

A recommender system is a personalized information filtering technology, used to either
predict whether a target user will like a particular item (prediction problem), or to identify a …

An enduring issue in higher education is student retention to successful graduation. Studies
in the US report that average six-year graduation rates across higher-education institutions …

Modern e-Learning systems offer a wide variety of functionalities, from basic ones like
accessing courses or online communication to more advanced ones like providing …

This article is a comprehensive literature review of student-facing learning analytics
reporting systems that track learning analytics data and report it directly to students. This …

Teaching activities have nowadays been supported by a variety of electronic devices.
Formative assessment tools allow teachers to evaluate the level of understanding of …

The relation between affect-driven feedback and engagement on a given task has been
largely investigated. This relation can be used to make personalised instructional decisions …

Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning for recommending learning objects (eg papers) to …

Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …

With the development of recommender systems (RS), several promising systems have
emerged, such as context-aware RS, multi-criteria RS, and group RS. However, the …