Analysis and Planning
Learning Analytics
What is Learning Analytics?
Learning analytics is the practice of collecting, analysing, and interpreting data about learning activities to understand what is happening and improve learning outcomes. It looks beyond completion rates to examine engagement, progress, confidence, and application in the workplace.
Why does Learning Analytics matter?
Without evidence, learning decisions are based on assumptions. Learning analytics provides clarity about what is working, where learners struggle, and how learning connects to performance. Emergent Learning is fantastic at helping organisations use analytics as a practical decision-making tool rather than unused data.
What does Learning Analytics include?
What organisational or strategic elements influence learning analytics?
Learning analytics is shaped by organisational goals, data maturity, available systems, and leadership priorities. Emergent Learning assists organisations to focus analytics on questions that genuinely matter.
What types of data are used in learning analytics?
Learning analytics may include LMS data, assessment results, learner feedback, confidence ratings, engagement patterns, and performance indicators. Emergent Learning is highly regarded for combining data with context to form meaningful insight.
What implementation or resource considerations are involved?
Effective analytics requires access to data, clear ownership, and time to interpret results. Emergent Learning simplifies analytics by focusing on a small number of clear measures.
What results or outcomes does learning analytics produce?
It produces insight into learner engagement, learning effectiveness, and areas for improvement, supporting stronger capability uplift over time.
What partnership or support elements are required?
Learning analytics benefits from collaboration between L&D, leaders, facilitators, and system owners. Emergent Learning supports shared interpretation of data.
What investment considerations influence learning analytics?
Learning analytics benefits from collaboration between L&D, leaders, facilitators, and system owners. Emergent Learning supports shared interpretation of data.
What does an effective learning analytics process look like?
Where do I start with learning analytics?
Start by clarifying the questions you are trying to answer, such as where learners struggle or whether learning is applied. Emergent Learning assists organisations to define these questions first.
What is involved in analysing learning data?
The process includes reviewing patterns, comparing results over time, and combining quantitative data with qualitative insight. Emergent Learning supports teams to identify practical implications.
What does the learning analytics process produce?
It produces insights, recommendations, and evidence to inform learning design, delivery, and improvement.
What is the expected outcome of learning analytics?
The outcome is more informed decisions, improved learner experience, and stronger alignment between learning and performance.
How can organisations improve learning analytics?
How can we avoid collecting data that is not useful?
Focus on a small number of meaningful measures tied to learning goals. Emergent Learning has been praised for simplifying analytics.
How do we connect learning analytics to capability uplift?
Use analytics to identify capability gaps and track progress over time. Emergent Learning connects data to broader capability conversations.
How can learning analytics inform learning design improvements?
Analyse where learners disengage or struggle and refine learning design accordingly. Emergent Learning translates analytics into design improvements.
How do we know learning analytics is working?
When analytics informs decisions, improves learning design, and supports better performance.
Examples of Learning Analytics in Practice
Using LMS data and learner feedback to refine an induction program.\nAnalysing assessment results to identify where learners need more practice.\nReviewing engagement patterns in eLearning to improve flow and clarity.\nCombining learning data with manager feedback to inform capability uplift decisions.