Publish at December 07 2022 Updated December 07 2022
Mobilize the desire to learn like never before. Three examples of inversion that bring a void to the pedagogical situation that learners are invited to fill by themselves.
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School systems differ from country to country. Yet they all fear one thing: dropping out of school. So the aim is to prevent learners dropping out at all costs. To do this, however, we need to be able to detect early those at risk of dropping out. Could AI help?
Let's build together our educational fictions
The law of attraction also applies to the pedagogies we aspire to. If we start competing in school, we should not be surprised that it continues in business and in our lives.
The most powerful policy for improving education is poverty reduction.
A small reduction in family poverty leads to significant increases in positive school behaviour and better academic performance. With supporting data and statistics.
The question of humanity's place in a digital world is constantly being asked, and ironically, the world of live performance could very well use technology to show people about contemporary and future issues. Of course, ideally, creation would remain in the hands of humans, not machines; audiences will generally prefer sensitivity to the coldness of an algorithm.
Extracting bias from artificial intelligence
We might have thought that the machine could judge more impartially, since it has no feelings. However, studies and experiments tend to show that algorithms have strong sexist or racist biases. Their designers come from a world where prejudice still persists. These are reflected in AIs, which can lead to unfortunate judgments.
