Brian offers various ways to support students adaptively with AI. The table explains the difference between AI Tutor, Chatbot, and AI Dialogue:
Explanation
1) Exercise with goal, learning analysis, and feedback
The interaction between students and the chatbot has a clear endpoint to work toward. Once reached, a learning analysis is generated and stored in the analytics
2) Assigned to a learning path
Chatbots and AI dialogues are part of a learning path within a learning unit.
3) Configurable AI behavior
The teacher can precisely define how the AI should behave and assign it a pedagogical purpose.
4) Course-wide and integrated into quizzes
The AI Tutor is not tied to individual learning units but refers to the entire course. Students can also access it within quiz explanations.
5) AI can be contextualized with files
Files can be provided to the AI as knowledge context.
Application suggestions
Concrete application suggestions for Brian’s AI Tutor can be found here.
Concrete application suggestions for Brian’s Chatbots can be found here.
Concrete application suggestions for Brian’s AI Dialogues can be found here.