To raise the quality of education through the use of learning analytics.
The project aims to establish a clear image of how higher education students in different European countries learn online by making explorative use of learning analytics (pedagogic approach as opposed to more academic analytics approaches).
Specific goals are to:
collect online learning data
in 4 different types of online language learning and teaching and maths courses based on the xAPI specification:
- a BA course of Economic & Business French for Economics students using in-house developed e-modules in combination with face-to-face sessions in class (UHasselt-BE)
- a MA TESOL Computer Assisted Language Learning course for students studying part-time with distance learning and using Blackboard (UCLAN-UK)
- a BA programme International Business Communication Modern Foreign Languages using Blackboard (UCLAN-UK)
- a BA course of mathematics for biology & biomedical sciences students using different in-house developed e-learning tools in full autonomy (UvA – NL)
develop a model of xAPI activity statements
for the implementation of learner tracking in language learning environments
analyse the processes of autonomous learning
using process mining algorithms to compare learning behaviour to the intended pedagogic objectives of the tools
map existing learning patterns
and feed back this new knowledge to the most important educational actors themselves, being the students and their lecturers
identify user profiles
and provide course developers and instructors with feedback based on the real uses of the learning resources
analysis of success indicators
and indicators of dropout or failure, which possibly can be identified from the data analysis
develop and implement data visualisation tools
in order to create a learning dashboard application for students and for teachers.
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 feedback.
The 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.