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Create personalized learning paths based on students interests using AI. Begin with data collection to gather information about student interests and learning styles, then customize content with AI to personalize lesson materials, and finally create a dashboard for teachers to see how students interact with content and where additional teaching may be required

Personalized Learning

1

Monitor student progress in real time to identify knowledge gaps and provide targeted interventions.

Insights for Educators

2

Students can utilize AI for project visualizations and mood boards, generating prompts to spur creativity, or gamify quizzes and studying.

Material Creation

3

Educational AI Use Cases

  • Generate ideas and prompts

  • Answer questions

  • Brainstorm

ChatGPT

  • Personalize content, quizzes and assignments

  • Recommend learning activities based on student progress and interests

  • Track progress in real time with teacher dashboard

Edmodo

  • Access a large library across many topics

  • Recommend lessons and exercises based on learning pace and areas of interest

Khan Academy

  • Use AI powered adaptive learning paths to fit each students needs, interest, and pace

  • Provides teachers with insights on student progress, areas of difficulty, and engagement levels

Edmentum

  • Adapt course material to each student's learning style and base level of understanding.

  • Customize lessons and practice problems to maximize efficency

Knewton (Alta)

  • Build chatbots to interact with students

  • Provide personalized learning resources

  • Answer questions

  • Brainstorm

  • Gauge student interests.

Diagflow by Google

  • Gamify learning experience using quests and interactive activities tailored to student interests

  • Provide rewards and recognitions

  • Real time Analytics about students behavior and performance

Classcraft

  • Spur creativity with a platform for students to create visual projects

Canva for Education

  • Analyze student data to provide personalized recomendations for learning content

  • Create intelligent tutoring systems that adapt to student needs in real time

  • Use NLP to assess student performance and engagement providing insight into emotional well being, knowledge gaps

IBM Watson

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