Each of us has many labels, such as high school student, middle grade, liberal arts, and I assign the same tutorials, classes, and teachers to others who have the same label. Tutorials and teachers can serve dozens or hundreds of people without customizing for each person, but this is exactly what causes the problem of ignoring individuality.
The power of ChatGPT lies in the customized response to individual needs . When encountering problems in the past, I usually use Google to search for answers. Before accepting the answer, you need to spend a little time reading the details of the problem the answer addresses and whether the background is the same as your own, otherwise the answer may not be valid for you. For example, if you are also learning programming, different people and different goals will adopt different learning methods. You can get more personalized answers by using ChatGPT. Using this feature ChatGPT has greatly helped my learning, and I will share it from different stages of learning below.
get study materials
If you know what you know, you must also know why. I like to study the underlying principles of a certain technique and method. "But I didn't understand what the principle was, so I consulted ChatGPT and obtained relevant experiment and paper information. Deepen your depth of understanding by acquiring new study material.
Recently, I want to find some tutorials to continue to improve my programming ability, but most of the resources are video tutorials, which makes me feel very boring. I like courses that are learned by doing. By shortening the distance between theory and practice, I can get feedback faster. and a sense of accomplishment. So I submitted my requirements to ChatGPT, and finally chose Codewars, a website that learns and evaluates programming skills by solving problems. It can not only give feedback on my programming quality, but also see how other people answer questions through the community. Learn more.
Handle study materials
Having an overall cognition of the content before reading helps the brain to complete the understanding of knowledge. Just like before a puzzle, if you don't know what the final product will look like, it's hard to find a clue from a lot of pieces. When I read the article, I will use ChatGPT to get the summary of the article, and build a knowledge map in my brain before formal reading.
Codewars is a programming learning website. It will provide many test questions for users to program and answer. After the code runs through, it will display the answers of other users. You will often see many more concise solutions that you cannot understand. At this time, you can query them one by one. The function is not as good as asking ChatGPT directly.
Better solutions from others in the community
Ask ChatGPT to explain code?
store knowledge
In
the gradual construction, I learned two methods of fine processing and effective training that can help knowledge be better stored in the brain.
fine processing
Learning materials can be divided into instruction materials and example materials. The example materials are close to our daily experience, so they are easier to understand. The instruction materials are more abstract. For example, English grammar is a kind of instruction materials. Elaboration offers two ways to help us learn instructional material .
enter more examples
Looking at more examples can help us understand knowledge. For example, when learning the concept of "learning transfer", you can get examples from ChatGPT to help you understand. You can try to read the examples provided by ChatGPT in the screenshot, can you summarize the definition of learning transfer from the examples?
Create links between new knowledge and existing knowledge
Building links between knowledge can unlock new insights. For example, the famous atomic design is to find the connection between chemical elements and design, and compare different units of design to atoms, molecules, organisms, etc. for management, which has become an industry standard now. Establishing links between knowledge can not only generate new inspiration, but also build a highway between the information in the brain, making it more reliable and efficient for us to extract knowledge.
For example, after learning the principle of "information equivalence" in information theory, I seem to be aware of the connection between it and the aforementioned "learning transfer". At this time, I will consult ChatGPT to verify my ideas.
After studying
Fogg's behavior model, the book uses more examples of common problems that everyone will encounter in work and life. I would like to know what is the relationship between this behavior model and my specific work-design It can help me improve my design ability. Through the answers, I found that the previously constructed methodology of "creating motivation and reducing barriers to use" can be further supplemented by adding a "reminder" link, which is to give users the motivation to use a certain product/function, and then reduce the barriers to their use and require There are relevant reminders to stimulate users to use and avoid being forgotten.
effective training
Effective training is a way to avoid the illusion of competence through actual execution, feedback of answers . In the short video, the designer teaches painting. The comments that often appear in the comment area are "the eyes can say it, but the hands can't". People have trouble explaining concepts. These are examples of the illusion of competence.
As mentioned earlier, when I was learning programming, I would ask ChatGPT to explain the usage of functions, and then in order to avoid the illusion of my ability, I would also ask ChatGPT to provide test questions to verify my mastery.
You can directly enter the answer in the conversation interface, and ChatGPT will judge whether the code can run through and make corrections. This completes an effective training session of actual execution plus answer feedback.
Similarly, when learning conceptual knowledge, you can also explain the concept in your own words, give examples to complete the actual implementation, and ask ChatGPT for feedback to verify whether your description is wrong.
Tail
OK Moore, a famous psychologist in the first half of the 20th century, proposed that an environment that can improve the quality of children's education should contain several characteristics
- Allow learners to explore freely
- Immediately tell learners the consequences of their actions
- autonomous control
- Enables learners to correlate and discover knowledge in different domains
The picture below is an environment created based on this principle. The child operates the typewriter in a room with less interference, and the adult observes the child's behavior in another space and gives corresponding feedback. ChatGPT seems to be the teacher behind us, and we can have him at a lower cost than a hundred years ago.
图片来源：The Edison Responsive Environment (From Omar Khayyam Moore, Autotelic Responsive Environments and Exceptional Children, 1963).
"Hey Moore, what do you think about ChatGPT?"