Generative Learning Book

[Gaetan Boren]

GenerativeLearning is the process of making meaningful connections between new information and pre-existing knowledge. In short, your students can use what they already know to help them learn new content. The idea here is that by integrating new knowledge with learned information, it can then be transferred into their long-term memory more efficiently and effectively.

Summarising requires students to reflect on what they have just learned and then re-phrase the most relevant information in their own words. A classic study showed that students who summarised a piece of text with a sentence above each paragraph had a better comprehension of the text than students who did not summarise.

This strategy is generative as your students can relate new information to what they have already learned to make it more memorable. For this strategy to work best, they would need guidance on how to summarise, as simply copying words from the text is ineffective.

Mapping is defined as turning words into a spatial representation. Common examples are mind maps, tables, and graphs. Making links between content from different lessons, comparing arguments, and expressing equations are some ways that your students can make the most out of mapping.

Research has shown that it is beneficial for improving performance in comprehension tests. However, it is easy for students to get caught up in how their maps look or what to include, which can distract them from the task. To avoid this, you can provide pre-made mapping tools and give guidance as to which information is most appropriate to include in a map.

Drawing is another way to boost Generative Learning so that your students have a deeper understanding of what you teach. Drawing requires students to focus on which information they should represent, what they should omit, and how to best represent the information in an image. This strengthens memory traces to make new information easier to retrieve in the future.

Forming a mental representation of new information is surprisingly beneficial for learning. An example is tasking your students to imagine the process of digestion by creating mental pictures of each step. Research has demonstrated that imagining step-by-step processes is more effective for learning than only reading about them when learners are given specific mental imaging prompts.

Self-testing is one of the most highly effective ways to learn, so it is worth setting aside time in your lessons for students to study with this technique. It is a form of Retrieval Practice, which results in the long-term retention of knowledge. Some examples include using flashcards, past papers, and quick-fire quizzes. This approach is generative because actively recalling information from memory helps to strengthen connections between new information and learned material.

Like self-testing, self-explaining requires students to recall new information, but this time by explaining it themselves in their own words. This ensures that your students understand what they learn rather than repeat back what they have read or heard. Through self-explaining they can appeal to material that they already know to justify a method or argument, focus on the most relevant information, and reflect on their learning.

Research has shown that self-explaining increases test results that measure deep understanding, and this is seen across different age groups. This method may be most impactful for maths and science which can have more complex explanations. However, it can also be useful for humanities subjects in which students can re-explain concepts that they have read in a way that makes sense to them.

Teaching each other does not necessarily mean that students stand up in front of a class and deliver a lesson; group discussions and collaborating with peers are other teaching methods. When your students generate meaningful answers by to questions when teaching each other they can thoroughly understand content, leading to long-term retention.

Enacting is a highly useful for younger children because it incorporates learning with real-world interactions. So, this may be most appropriate for an early years classroom. The most highly researched examples are gestures and object movement:

Bradley Busch is a Chartered Psychologist and a leading expert on illuminating Cognitive Science research in education. As Director at InnerDrive, his work focuses on translating complex psychological research in a way that is accessible and helpful. He has delivered thousands of workshops for educators and students, helping improve how they think, learn and perform. Bradley is also a prolific writer: he co-authored four books including Teaching & Learning Illuminated and The Science of Learning, as well as regularly featuring in publications such as The Guardian and The Telegraph.

This theory proposes that the depth of our understanding, or what we often term as "deep learning", relies on the learner's ability to actively integrate new information into their existing knowledge base.

Key to this theory is the notion of the 'generative process', which involves the cognitive work of organizing and integrating information during the learning process. This is no abstract concept, but a practice that can yield powerful results in the classroom.

Consider the English teacher who instructs students to draw concept maps linking new vocabulary words to familiar ones. Here, the generative learning strategy of summarizing and mapping concepts enables students to connect new declarative concepts to pre-existing knowledge, fostering a deeper understanding.

As a renowned educational psychologist, puts it, "Learning is not a passive absorption of information, but an active process of constructing understanding, where students' pre-existing knowledge serves as a foundation upon which new learning can be built."

However, Generative Learning Theory recognizes individual differences among learners. Not all students will use the same strategies or learn at the same pace. Some may need additional support to engage in generative learning, while others may excel with minimal guidance.

In essence, Generative Learning Theory encourages learners to become active participants in their own education, transforming new information into meaningful, lasting knowledge. It's a powerful reminder that in learning, as in life, we get out what we put in.

In the dynamic world of primary and secondary education, embracing Generative Learning Theory can truly revolutionize your teaching approach, fostering knowledge activation and helping students construct mental models that promote deep, lasting learning. Here are nine ways to bring generative learning into your classroom:

One successful example of implementing generative learning strategies is the use of self-generated questions in science classes, which has been shown to increase student engagement and understanding by up to 50%.

As education expert Dr. John Hattie asserts, "The act of generating information, rather than passively receiving it, creates learning that is far more durable and flexible." However, it's important to remember that the effectiveness of these strategies can depend on individual students' learning preferences and needs, and should be adapted accordingly.

In conclusion, by implementing these generative learning strategies, teachers can foster a more active, engaged, and effective learning environment, empowering students to take control of their own learning

Therefore, people must create a relationship between the new concept demonstrated to them and what they already know for learning. Joining the dots spontaneously is the main aspect of generative learning theory.

The SOI model proposed by Logan Fiorella and Richard Mayer suggests that people generate learning from new information in three stages. This generative model is a great starting point for schools that are using our block building strategy. Allowing children to develop concrete mental models using our block building structures provides teachers with the student schema's inside picture.

The Generative Learning Theory is comprising of four main concepts that instructional developers can integrate into their lessons. They can even use any one of such concepts, according to the requirement of the students and the learning resources involved.

Teachers can use mind-maps in the class and ask students to turn information provided to them into a spider diagram. Then the students would use their notes for completing the further task at another date. The mind map itself wouldn't do much in terms of generating learning and would eventually look something like this.

David Kolb suggests that for effective learning, the learner needs to progress through the cycle. Also, the learner can embark on the cycle at any one of the four stages of the cycle with logical progression.

David Kolb suggested that while learning from experience, people must pass through four stages. They can start from the theory of why something could work, and then they can propose a plan for using it in any specific context. Also, they can get the experience of doing it in reality before revealing whether it performed according to the expectation or they had to make any adjustments.

If you are interested in embracing the generative learning theory in your school, we would suggest engaging your staff in a series of professional development sessions. The generative learning strategies are probably being used in your school already; shifting educators mindsets to the theory is another matter. We must remember that these evidence-informed activities help direct, meaningful learning.

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