Adaptive learning is an educational approach that uses technology and data to personalise learning experiences for individual students.
The secret sauce behind our adaptive learning approach is that it combines what learning platforms usually look at – learner answer accuracy and speed – with their level of confidence about the content and their answers.
The platform uses algorithms and artificial intelligence to track learner performance in real time – their accuracy, speed and confidence levels - and adapts the learning path by serving up the content that the learner needs to know, with questions at the right level of difficulty.
The learner continues their learning pathway until they have both mastered the concept and are confident in their learning and understanding. This way, we avoid mindless click-based e-learning, and personalize the journey, rather than the outcomes. Your learners work towards the same learning outcomes, while the path they take, whether 10 minutes or 30 minutes, will be truly unique to them.
What are the benefits of adaptive learning for students?
With traditional e-learning methods:
- Every learner follows the same learning pathway
- The content comes first, then the questions
- It ignores what the learner already knows
- When repeating the learning, it starts at the beginning every time
- The content doesn’t feel relevant or personal
- The learners all get different results based on how many questions they got right or wrong
With adaptive learning in Hachette Learning Adaptive and Academy:
- Each learner has a different learning pathway, adapted to their individual needs
- The platform only shows the content to the learner when it is necessary
- It considers what the learner already knows
- It revisits only what the learner struggles with
- All learners get to the same result at the end of their learning pathway
- It helps learners progress at their own pace - it speeds up when they learn about content they do know, and slows down when they learn about content they don’t know
- It helps them to learn what they don’t know, with additional support, instead of just being marked wrong
How can adaptive learning help teachers?
Data and analytics provide teachers with insights into students’ performance and learning patterns. This allows educators to:
- Identify struggling students more quickly
- Focus on teaching concepts that need additional reinforcement
- Spend more time providing personalised support and less time on routine assessments
For more information about reporting, click here.