Implementing learning analytics across the entire FernUniversität

Institutional Readiness

Technology

Technical infrastructure and expertise

Organization

Structures and processes

Culture

University cultural environment

What is Institutional Readiness?

Institutional readiness refers to a university’s ability to successfully implement learning analytics methods (LAMs) across the institution. It encompasses multiple prerequisites that together provide a robust foundation for implementation.

The basic concept of the readiness assessment

The diagram shows the core concept of the readiness assessment: the four dimensions—needs, competencies, technology use, and teaching–learning culture—are analyzed with respect to learning analytics to design evidence-based support and implement it effectively.

Why institutional readiness matters

Readiness forms the basis for successful implementation. It shows whether the necessary conditions, resources, and stakeholder engagement are in place for the effective use of learning analytics methods (LAMs).

Low Readiness

Indications of resistance, inefficient use, and an increased risk of failure.

High Readiness

Available resources, clear responsibilities, and engaged stakeholders.

How is it implemented in LEAD:FUH?

Using a comprehensive Learning Analytics Readiness Assessment. The assessment looks at capabilities, teaching–learning culture and processes, governance, and infrastructure—including existing LAM measures and data management expertise.

Capabilities

Expertise, experience, data analyses, data collections, and responsibilities

Culture & Processes

Data use practices, collaboration, and institutional routines

Governance & Infrastructure

Framework conditions, existing LAM measures, and data management qualifications