How do you deliver training that feels custom-made for every learner—without doubling your workload? That’s the challenge facing many RTOs today. With learners coming from different backgrounds, skill levels, and goals, offering a one-size-fits-all course just doesn’t cut it anymore. That’s why approaches like personalised and adaptive learning are gaining traction. But what’s the difference between them and which is the better fit for your training organisation?
Understanding Adaptive Learning
Adaptive learning leverages technology to adjust the learning experience in real-time based on a learner’s performance. By analysing data such as quiz results, time spent on tasks, and interaction patterns, adaptive systems modify content delivery to suit individual learner needs.
Benefits of Adaptive Learning
- Enhanced Learner Engagement: By presenting content that aligns with a learner’s current understanding, adaptive learning maintains engagement and motivation.
- Efficient Learning Paths: Learners can bypass content they have already mastered, focusing on areas that require improvement.
- Scalability: Adaptive systems can cater to large cohorts, providing individualised learning experiences without additional instructor workload.
A study by the RAND Corporation found that students in schools implementing personalised learning strategies, which often include adaptive components, made greater gains in mathematics and reading compared to their peers in traditional settings.
Exploring Personalised Learning
Personalised learning encompasses a broader educational approach that considers individual learner preferences, interests, and goals. It often involves giving learners choices in their learning paths, pacing, and assessment methods.
Key Features of Personalised Learning
- Learner Autonomy: Students have a say in their learning journey, increasing ownership and motivation.
- Flexible Pacing: Learners progress through content at a pace that suits their individual needs.
- Diverse Learning Modalities: Incorporates various instructional methods to cater to different learning styles.
Research indicates that personalised learning can lead to improved academic outcomes. For instance, a study involving 5,500 students across 32 schools reported positive effects on mathematics achievement when personalised learning approaches were implemented .
Adaptive Learning vs Personalised Learning: A Comparative Overview
| Aspect | Adaptive Learning | Personalised Learning |
|---|---|---|
| Definition | Technology-driven adjustments based on performance | Learner-centered approach considering preferences |
| Primary Driver | System algorithms | Learner choices and instructor input |
| Flexibility | Adjusts content in real-time | Offers choices in content, pacing, and assessment |
| Scalability | Highly scalable with technology | May require more resources for individualisation |
While both approaches aim to tailor education to individual needs, they differ in execution. Adaptive learning relies heavily on technology to modify content delivery, whereas personalised learning emphasizes learner choice and flexibility.
The Synergy: Personalised Adaptive Learning
Combining the strengths of both approaches leads to personalised adaptive learning, where technology-driven adaptations are complemented by learner choices and preferences. This hybrid model offers a comprehensive solution for RTOs seeking to enhance learner outcomes.
Advantages of Personalised Adaptive Learning
- Holistic Individualisation: Addresses both performance metrics and personal preferences.
- Improved Learning Outcomes: Integrating adaptive technologies with personalised strategies can lead to significant gains in student achievement
- Enhanced Learner Satisfaction: Providing choices alongside adaptive content fosters a more engaging learning environment
Considerations for RTOs
When deciding between personalised and adaptive learning, RTOs should consider factors such as resource availability, technological infrastructure, and learner demographics.
Potential Challenges with Adaptive Learning
One of the disadvantages of adaptive learning is the initial investment required in technology and training. That said, when thoughtfully implemented with strong instructional design and educator oversight, adaptive systems can deliver highly personalised learning experiences that align with both learner needs and organisational goals.
Potential Challenges with Personalised Learning
Creating and managing personalised learning pathways often requires significant time, effort, and human oversight, especially when done without automation. For RTOs with large learner cohorts, this can lead to increased administrative load and higher staffing costs.
Why Personalised Adaptive Learning Matters
Both personalised and adaptive learning offer valuable strategies for enhancing educational outcomes. For RTOs, the integration of these approaches into a personalised adaptive learning model can provide a balanced solution that leverages technology while honouring individual learner preferences. By embracing personalised adaptive learning, RTOs can position themselves at the forefront of educational excellence.
