A systematic review of empirical studies on learning analytics dashboards: A self-regulated learning perspective
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 …
research that reports empirical findings to assess the impact on learning and teaching …
License to evaluate: Preparing learning analytics dashboards for educational practice
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 …
leveraging the expertise of both fields in exploring the vast amount of data generated in …
An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models
CY Chou, NB Zou - International Journal of Educational Technology in …, 2020 - Springer
In self-regulated learning (SRL), students organize, monitor, direct, and regulate their
learning. In SRL, monitoring plays a critical role in generating internal feedback and thus …
learning. In SRL, monitoring plays a critical role in generating internal feedback and thus …
Ethical issues in learning analytics: A review of the field
D Tzimas, S Demetriadis - Educational Technology Research and …, 2021 - Springer
Learning analytics (LA) collects, analyses, and reports big data about learners to optimise
learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and …
learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and …
Learner modelling: systematic review of the literature from the last 5 years
A Abyaa, M Khalidi Idrissi, S Bennani - Educational Technology Research …, 2019 - Springer
The field of adaptive e-learning is continuously developing. More research is being
conducted in this area as adaptive e-learning aims to provide learners with adaptive …
conducted in this area as adaptive e-learning aims to provide learners with adaptive …
On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
There are open learner models about!
S Bull - IEEE Transactions on Learning Technologies, 2020 - ieeexplore.ieee.org
This overview outlines key issues in learning with an open learner model (OLM). Originally,
learner models remained hidden, as their primary role was to enable a system to …
learner models remained hidden, as their primary role was to enable a system to …
Toward an Institutional Analytics Agenda for Addressing Student Dropout in Higher Education: An Academic Stakeholders' Perspective.
Although the number of students in higher education institutions (HEIs) has increased over
the past two decades, it is far from assured that all students will gain an academic degree …
the past two decades, it is far from assured that all students will gain an academic degree …
Analytics for student engagement
Volumes of detailed information are now unobtrusively collected as students use learning
management systems and digital learning environments in their studies. This significantly …
management systems and digital learning environments in their studies. This significantly …
An analysis of learning analytics in personalised learning
This paper presents an analysis of learning analytics practices which aimed to achieve
personalised learning. It addresses the need for a systematic analysis of the increasing …
personalised learning. It addresses the need for a systematic analysis of the increasing …