What does revision involve? We've often been told that it's based on rereading course material, highlighting important parts of notes and making little flashcards summarizing everything for reference before an exam. But these methods have no scientific validity. In fact, they run counter to what research has shown about brain function and learning.
The first step is to understand the pattern of knowledge. In general, it starts with memorizing knowledge, then apprehending it, using it to solve problems and finally using it creatively. And that's just the beginning. Memorization is based on two systems:
working memory, which is in the here and now and focuses on what the senses perceive, and
long-term memory, which retains information for longer.
Thus, memorizing knowledge requires encoding it from working memory to long-term memory, and then retrieving it on various occasions, including evaluations.
To do this, you need to be proactive.
Spaced repetition allows you to review the material so that it doesn't fall into oblivion. However, it's best to space out the sessions gradually, so that the process of losing knowledge takes longer and longer.
In addition to this technique, self-tests give you the chance to work on the effort involved in retrieving information. Using the Leitner box process, it is possible to study difficult elements on a regular basis, and to distance ones that seem to stick.
This means adopting a generative learning approach. In this way, the learner structures knowledge in long-term memory, making it easier to reassure in due course. Active note-taking with added questions or additional information helps to make sense of the lessons. The use of free recall, i.e. rewriting everything you often remember about a concept, also promotes consolidation. Mind maps can also play a key role in revision based on scientific precepts.
How will humans survive the effects of climate change? How can we feed populations living in geographic areas subject to dry and arid climates? Revivalistic plants, plant species that are more than resistant to drought, provide a realistic solution.
Artificial intelligence aims to provide answers close to those that a human would give if he were endowed with memory and extraordinary computing capacity.
Other than the brute force linked to the power of the processors, this requires a fine-tuned consideration of the context and emotional aspects, to identify the information that may be relevant to the individual receiving the information.
Books are becoming rarer in favor of metavers, that's a fact, but isn't it just a matter of media and a change in the adventure mix that's really at stake?