The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education
(AIED) offers new scalable, data-intensive systems but raises concerns about data privacy …

This paper presents a systematic literature review of learning analytics dashboards (LADs)
research that reports empirical findings to assess the impact on learning and teaching …

Due to the ongoing digitalisation of workplaces and educational settings, human activity
underpinning learning and work is increasingly mediated by technology. The advancement …

Learning analytics can bridge the gap between learning sciences and data analytics,
leveraging the expertise of both fields in exploring the vast amount of data generated in …

Unequal stakeholder engagement is a common pitfall of adoption approaches of learning
analytics in higher education leading to lower buy-in and flawed tools that fail to meet the …

It has been long argued that learning analytics has the potential to act as a “middle space”
between the learning sciences and data analytics, creating technical possibilities for …

In inclusive education, students with different needs learn in the same context. With the
advancement of artificial intelligence (AI) technologies, it is expected that they will contribute …

This paper aims to link student facing Learning Analytics Dashboards (LADs) to the corpus
of research on Open Learner Models (OLMs), as both have similar goals. We conducted a …

This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …

Learning analytics has the potential to detect and explain characteristics of learning
strategies through analysis of trace data and communicate the findings via feedback …