Learning Methodologies and Approaches
Adaptive Learning
What is Adaptive Learning?
Adaptive learning adjusts content, difficulty, and learning pathways in response to learner decisions, performance, and needs. It ensures individuals receive support tailored to their capability gaps.
Why does Adaptive Learning matter?
Adaptive learning matters because it avoids one‑size‑fits‑all training. It improves efficiency, relevance, and confidence by giving each learner the level of support they require.
What should Adaptive Learning include?
What organisational or strategic elements are involved in Adaptive Learning?
Adaptive learning should align with capability expectations and business needs. Emergent Learning assists organisations in mapping adaptive moments to real tasks and behaviours.
What analytical processes or methodologies are involved in Adaptive Learning?
It includes diagnostics, branching design, learner data analysis, and capability mapping. Emergent Learning supports these processes to ensure branching reflects authentic work.
What implementation or resource considerations are involved in Adaptive Learning?
It requires scenario writing, branching structures, platform setup, and periodic updates. Emergent Learning can help design branching aligned to performance.
What results or outcomes does Adaptive Learning produce?
Adaptive learning typically leads to improved confidence, faster skill acquisition, and more personalised learning experiences.
What partnership or support elements are required?
It benefits from SME involvement, iterative refinement, and design support. Emergent Learning can partner with teams to maintain and evolve adaptive pathways.
What cost or investment factors influence decisions about Adaptive Learning?
It benefits from SME involvement, iterative refinement, and design support. Emergent Learning can partner with teams to maintain and evolve adaptive pathways.
What does an effective Adaptive Learning process look like?
What needs to happen first?
Identify key skills, decisions, and behaviours where adaptive branching adds value. This includes capability interviews and gap analysis.
What happens next?
Develop branching scripts, diagnostics, and scenarios. Emergent Learning can support branching design based on real tasks.
How does the process progress over time?
Learner data informs refinements. Frequent updates ensure pathways stay relevant as roles change.
What does the end state look like?
A mature adaptive program provides personalised pathways and targeted capability uplift.
How can organisations improve their approach to Adaptive Learning?
How can we create clearer pathways?
Clarify capability expectations and design adaptive moments around meaningful decisions.
How do we make Adaptive Learning relevant across roles?
Use role‑specific scenarios and challenges that mirror workplace tasks.
How can we deliver Adaptive Learning consistently?
Create repeatable branching templates and design standards. Emergent Learning can support the build of consistent structures.
How do we measure whether Adaptive Learning is effective?
Track performance improvements, confidence shifts, and indicators of capability rather than completion rates.
How does Adaptive Learning apply in real organisations?
New hires follow personalised onboarding based on diagnostics.
Managers navigate adaptive leadership scenarios.
Frontline teams complete adaptive task‑based challenges.
L&D teams analyse adaptive data to understand capability gaps.