Learning und Educational Analytics und Data Mining
We systematically integrate learning analytics into study and teaching at the FernUniversität in Hagen—evidence-based, responsible, and sustainable.
What is Learning Analytics?
Learning analytics makes learning processes visible by analysing data from study and teaching in a theoretically grounded and action-oriented way. This generates insights that help support learning in a targeted manner—transparently and responsibly.
What is LEAD:FUH about?
LEAD:FUH develops a university-wide teaching and learning architecture and a change management concept to sustainably embed learning analytics—not as an isolated solution, but as a supportive structure for the entire university.
Who benefits from LEAD?
Students receive flexible, personalized feedback and tailored recommendations. Instructors gain new insights into learning activities to support instructional design and course evaluation. Academic administration gains a robust basis for planning and improvement.
How LEAD:FUH improves study and teaching through learning analytics
LEAD:FUH combines data analysis, pedagogy, and responsible data protection to concretely improve learning and teaching. The focus is not on technology—but on the people who work with study and teaching every day.
StudentsBetter guidance for your learning
Personalized feedback and recommendations make it easier to continuously monitor and reflect on learning progress—supporting self-directed study.
Teaching staffDesign teaching in a dynamic way
Learning analytics continuously show how students learn and how courses are used. Teaching can be adapted in a targeted way, and difficulties can be identified early.
Academic administrationMake evidence-based decisions
Robust data support planning, resource allocation, and quality development—contributing to improved study conditions at the structural level.
The LA backbone: How data flows
Our central data infrastructure—the Learning Analytics backbone—connects all key university systems and prepares information in such a way that data protection–compliant insights can be generated for teaching and research. Learn here how data flows from the learning management system through analytics tools to feedback for students.
LEAD:FUH – an innovation project across the university
We are developing a teaching architecture and a change management concept to support teaching and learning processes with data and to create needs-oriented, sustainable structures for university teaching
78k+
Distance learners
7 Mio. €
Funded by the Foundation for Innovation in Higher Education
2029
Project timeline
100%
University-wide and interdisciplinary
Data enable us to understand learning processes and support them effectively—for enhanced learning outcomes, innovative teaching, and better study conditions.
LEAD – Project Goals
Five application scenarios – one unified system
LEAD:FUH is made up of five interconnected components: from organizational preparation and data infrastructure to feedback, self-monitoring, and concrete support.
Institutional Readiness
Assesses how the university is organized and prepared—culturally and technically—for learning analytics, and identifies existing needs.
Feedback
Provides formative, individual feedback on learning progress—supportive, highly informative, and non-evaluative.
Self-Monitoring
Dashboards support observing, reflecting on, and guiding learning activities and progress.
Learning-Analytics-Backbone
Links university systems and processes data for analyses and services in full compliance with data protection regulations.
Curious to learn more?
We welcome your questions and are happy to provide guidance if you are interested in using learning analytics or exploring collaboration opportunities. As a publicly funded university project, we are open to exchange and new ideas. Get in touch – we’re here to help!
