Science
Learning relevant vocabulary is key to grasping new science concepts, but it can be challenging to engage students.
With Flint, teachers can take relatively mundane content (e.g. a vocab list from Quizlet and/or an educational YouTube video) and turn it into an educational game powered by AI.
First, we can provide Flint with a learning objective as well as materials to pull from:
Flint then suggests three different methods for teaching this content, which the teacher can choose from.
From here, the teacher can use the “revise” feature to turn this activity into a turn-by-turn game to further improve student engagement.
In their interactions with the AI, students get taken through a turn-by-turn game where they have to apply vocabulary and concepts related to natural selection in order to progress.
Once the student has completed the game, they receive a summary of their strengths and areas of improvement. Additionally, the AI will suggest a follow-up learning objective, based on how the student did. By clicking “Create follow-up tutor”, students can continue learning about the topic.
Other use cases
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