How educators use ChatTutor
Before and after Teaching Activities
Educators use ChatTutor to support learning beyond scheduled class time, helping students prepare before lessons and reflect afterward.
For individual learning, students can explore concepts at their own pace, test their understanding, and receive guided prompts aligned with the course material.
In unsupervised, self-guided collaborative work, small groups use ChatTutor to structure discussions, compare ideas, and resolve uncertainties together.
For student group work, the platform supports shared inquiry by making reasoning visible and enabling groups to build on each other’s thinking rather than simply dividing tasks.
During Teaching Activities
In live classroom settings, ChatTutor becomes part of the instructional flow.
During teacher-supervised group work, educators can guide how AI is used while students collaborate on problems or case studies.
In smaller classrooms, it supports deeper dialogue and personalized scaffolding, while in large audience lectures it enables many students to actively engage with content at the same time through structured prompts and follow-up questions.
For assignments and exams (pending), ChatTutor is being developed to support learning-focused assessment practices that emphasize reasoning, transparency, and academic integrity.
Human in the loop
ChatTutor is designed for human + AI collaborative learning, where teachers, students, and AI share the same learning space.
Educators can decide when AI participates directly in discussion threads and when it operates in the background as a support tool.
Peers or teaching assistants can be looped into conversations to validate reasoning and correct misunderstandings.
Most importantly, educators control how AI is applied to their curriculum, ensuring that it reinforces pedagogical goals rather than dictating them.
Analytics
ChatTutor provides educators with meaningful insights into how students are learning.
Instructors can identify bottlenecks in understanding—even on a weekly basis—by seeing where students struggle or repeat the same questions.
Performance-level indicators help teachers distinguish between surface-level engagement and deeper conceptual mastery, enabling timely instructional adjustments and targeted support.
Opportunities for Advanced Usage
For more advanced implementations, educators can build their own custom agents tailored to specific subjects or teaching strategies.
They can develop AI personas for their classes, such as a Socratic tutor, debate partner, or writing coach.
These agents can be designed to promote critical thinking and reflective learning by asking probing questions, challenging assumptions, and guiding students to explain their reasoning instead of simply producing answers.