Understanding Adaptive Learning and Its Five Learning Strategies
Adaptive learning has become one of the most talked-about concepts in modern online education. The idea of providing a personalised learning experience — where each learner’s needs, pace, and preferences are individually addressed — represents a major shift from the traditional one-size-fits-all classroom model.
According to Dr Nishon Walker, adaptive learning aims to create a truly personal and engaging educational experience by incorporating brain-based learning strategies that respond dynamically to how each learner interacts with content.
What Is Adaptive Learning?
At its core, adaptive learning refers to the use of data-driven and cognitive technologies to adjust educational content and methods according to each learner’s performance and behaviour.
In Dr Walker’s brain-based adaptive learning system, five distinct strategies are used to deliver content in different ways. Each strategy appeals to a unique cognitive process and helps the system determine which method works best for a particular learner.
The five strategies are:
- Apprentice Learning
- Incidental Learning
- Inductive Learning
- Deductive Learning
- Discovery Learning
1. Apprentice Learning – Step-by-Step Instruction
The Apprentice model is a structured, step-by-step learning approach. It provides learners with a clear set of instructions to complete a task — similar to how a mentor guides an apprentice.
Example:
If you were learning how to change a car tyre, the apprentice model would provide you with a list of steps:
- Locate the spare tyre in the trunk.
- Use the jack to lift the car.
- Remove the flat tyre.
- Replace it with the spare.
This procedural approach works best when the task requires precision and repetition. It’s effective for learners who prefer clear guidance and direct instruction.
2. Incidental Learning – Learning Through Stories
Incidental learning occurs through storytelling or real-life scenarios. Instead of following strict instructions, learners gain insights naturally by engaging with narratives or experiences.
Example:
Imagine someone describing their personal experience of having a flat tyre on the motorway — how they solved the problem step by step.
This form of storytelling allows learners to absorb knowledge subconsciously through context and emotion, making the lesson more memorable and relatable
3. Inductive Learning – Learning from Examples
Inductive learning introduces new concepts through examples and demonstrations. It allows learners to observe patterns and derive rules on their own.
Example:
Watching a video of someone changing a tyre helps learners observe each step in action. Instead of being told what to do, they infer the process by observing the example.
This method supports visual and experiential learners who grasp concepts better through observation.
4. Deductive Learning – Learning by Doing
Deductive learning involves active participation and simulation. It allows learners to practise what they are learning in a guided, interactive setting.
Example:
Imagine a computer animation that allows you to virtually change a tyre — opening the trunk, using the tools, and completing each step.
This “learning by doing” method strengthens understanding through repetition and physical engagement, bridging the gap between theory and practice.
5. Discovery Learning – Learning Through Exploration
Discovery learning takes active learning to the next level. It immerses learners in a three-dimensional or game-like environment where they explore, experiment, and learn through trial and error.
Example:
In a virtual simulation, you drive a car, experience a flat tyre, and must figure out how to replace it yourself. The process encourages critical thinking, problem-solving, and creativity, allowing learners to “discover” solutions rather than follow predetermined steps.
The Power of Adaptive Systems
By combining these five strategies, an adaptive learning system can determine which method best supports each learner’s comprehension.
The system provides intelligent feedback, measuring performance to understand whether a learner responds better to stories, visuals, simulations, or exploration. Over time, it fine-tunes content delivery to match each learner’s unique cognitive preferences.
What’s more, Dr Walker emphasises that students may not learn every subject in the same way. A learner might prefer an inductive approach for physics, a deductive method for mathematics, and discovery-based learning for history or geography.
This adaptability — both across individuals and subjects — is what makes brain-based adaptive learning truly revolutionary.
Conclusion
Adaptive learning represents the future of education — a model where technology and neuroscience work hand in hand to create personalised, effective, and engaging learning experiences.
By integrating the five learning strategies — Apprentice, Incidental, Inductive, Deductive, and Discovery — educators and developers can design systems that cater to diverse learning needs and styles.
This approach not only enhances academic performance but also aligns education with the natural ways the human brain learns and retains information.
