VITAL - Visualisation Tools and Analytics to Monitor Online Language Learning & Teaching (2015-2017)
Students involved in e-learning often have a limited knowledge
of their own learning habits and which rate of studying with the online
material is required. To succeed in (semi-)autonomous learning, however, a higher level of self-regulation is needed.
Find here an nteractive animation about Learning Analytics, xAPI and the VITAL project and test your knowledge!
This Erasmus+ project aims to establish a clear image of how higher education students in different European countries learn online through the use of learning analytics. The project aims at the development of a generic model for implementing learning analytics in interactive e-learning tools, which can be reused in different educational settings, countries, courses.
The goal is to map existing learning patterns in 4 different types of online language learning and teaching and maths courses and to feed back this new knowledge to the most important educational actors themselves, being the students and their lecturers. The focus will be on the courses used and the students’ learning trails through these courses, and process mining techniques will be used for the analysis of the data. The University of Amsterdam, Faculty of Science will focus on math courses.
Special care will be given to ease of use of the dashboards for non-specialist users. These applications will allow both the teachers and the students to understand how they learn online but also to compare their profile to user patterns of their peers. Educators get dynamic and real-time overviews of how their students are progressing, which students might be at risk of dropping out or of failing for the course and which parts of the courses cause difficulties/require more feedbackThe project outputs will be used by or presented to the student and instructor target groups but more generally also to all stakeholders in the field of educational innovation and research on a European level. All technologies, models, algorithms, reports, guidelines, recommendations will be put at their disposal under open licenses.Partners
A complimentary and cross-disciplinary consortium of teams from three universities and a private open source company was set up:
Project leader VITAL: Anouk Gelan (Universiteit Hasselt)
Project partner leader University of Amsterdam: André Heck
Project partner leader University of Central Lancashire: Michael Thomas
Project partner leader HT2: Ben Betts
Start project: October 2015
End project: December 2017
Funding: Erasmus+, Strategic partnerships, KA2 Higher Education (2015-1-BE02-KA203-012317)
Downloads (project report or extra information):