Science

|

7th, 8th, 9th, 10th

Turn-by-turn natural selection game

Let students test their knowledge of variation, competition, and reproduction in a turn-by-turn game.

Example student session with graphics of brown and white rabbits on a brown hill.
Example student session with graphics of brown and white rabbits on a brown hill.
Example student session with graphics of brown and white rabbits on a brown hill.

Teaching goals

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:

Learning objective:

Students should understand the role of variation, competition, and reproduction in natural selection. They should be able to apply the concepts to different selection scenarios through interactive case studies.

YouTube | Bozeman Science: Examples of Natural Selection

Extra customization

Flint then suggests three different methods for teaching this content, which the teacher can choose from.

Three tutor type examples: natural selection scenarios, natural selection case study, and evolution classroom chat.

From here, the teacher can use the “revise” feature to turn this activity into a turn-by-turn game to further improve student engagement.

Teacher using the revise feature to make the tutor a turn-by-turn game and the automatically regenerated inital prompt and rules to go with this revise request.

Student experience

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.

Examples student session where student is quizzed and explaining why the colors of beetles matter in natural selection.

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.

Session analytics showing the AI-generated feedback for the student's strengths, areas of improvement, and suggested follow-up tutor.

Extra customization

Flint then suggests three different methods for teaching this content, which the teacher can choose from.

Three tutor type examples: natural selection scenarios, natural selection case study, and evolution classroom chat.

From here, the teacher can use the “revise” feature to turn this activity into a turn-by-turn game to further improve student engagement.

Teacher using the revise feature to make the tutor a turn-by-turn game and the automatically regenerated inital prompt and rules to go with this revise request.

Science

|

7th, 8th, 9th, 10th

Turn-by-turn natural selection game

Example student session with graphics of brown and white rabbits on a brown hill.

Teaching goals

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:

Learning objective:

Students should understand the role of variation, competition, and reproduction in natural selection. They should be able to apply the concepts to different selection scenarios through interactive case studies.

YouTube | Bozeman Science: Examples of Natural Selection

Extra customization

Flint then suggests three different methods for teaching this content, which the teacher can choose from.

Three tutor type examples: natural selection scenarios, natural selection case study, and evolution classroom chat.

From here, the teacher can use the “revise” feature to turn this activity into a turn-by-turn game to further improve student engagement.

Teacher using the revise feature to make the tutor a turn-by-turn game and the automatically regenerated inital prompt and rules to go with this revise request.

Student experience

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.

Examples student session where student is quizzed and explaining why the colors of beetles matter in natural selection.

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.

Session analytics showing the AI-generated feedback for the student's strengths, areas of improvement, and suggested follow-up tutor.

Other Science teacher testimonials:

"Flint allowed students to ask questions about molecules they did not understand or pathways that were unfamiliar. Students were engaged as they had a personal tutor that would guide them through complex material at their pace and level of understanding. What had once been a frustrating experience became student-driven content formation."

Cheryl Cossel headshot

Cheryl Cossel

Biology and Pharmaceuticals teacher at Episcopal

Spark AI-powered learning at your school.

Sign up to start using Flint, free for up to 80 users.

Watch the video

Spark AI-powered learning at your school.

Sign up to start using Flint, free for up to 80 users.

Watch the video

Spark AI-powered learning at your school.

Sign up to start using Flint, free for up to 80 users.

Watch the video