…”I am really sorry for getting a low mark on my test. It was just that I didn’t really understand the topic and some terms I wasn’t sure about but I will try and do good next time. I am really sorry about this”.
Mistakes are a part of learning.
The more mistakes you make, the more you are learning. Make mistakes fast and often! I am pleased that you’ve made mistakes and thought about them – that is the spirit of a true champion.
Accept that it can take time figure how the “learning mechanics”
Getting used to how I set out the work can take time, i.e. how the workbooks work, how to organise work with text styles, quizzes, revision materials etc. Once you’ve got this figured then the learning journey will be smoother. Accept that it takes time.
Your mistakes help me.
Yes, that’s right. Remember that I said that topic tests are as much for me as it is you? It can be fun to look at a new topic but it can take me time to make the learning materials as good as possible. Your mistakes actually help me to know what I need to improve. e.g. I’ve updated the page about using machine learning to eradicate spam so that it makes more sense.
Focus on what you did achieve!
So you might not have done well on the test, but do you now have a better general sense of what AI is all about? Sure you do. “Rome was not built in a day”. Any improvement, however small, is nevertheless, progress.
It’s easy to forget
Some classes spend less than an hour a week learning about Computer Science. You have 167 hours between lessons (more or less, depending on the timetable) to forget what you’ve learned. Over time you will see and use techniques to “reduce the forgetting curve”, such as summary notes and quizzes.
How YOU feel about your work is what is most important.
Please don’t primarily worry about whether I am (or anyone else is) pleased with your work or not. It is important to remember to do activities that you can do for your own sense of worth.
