Tetta AI is an AI-powered teaching and learning platform for course-aware tutoring, rubric-based feedback, attendance, seating maps, AI course authoring, assignment creation, and podcasts.
Master coursework with 24/7 AI tutors, actionable rubric feedback, and seamless check-ins.
Manage presence tracking, course-aware AI tutors, and automated submission feedback enablement.
Anonymous feedback from the community.
University of Delaware
Recorded May 16, 2026, 2:53 AM
Everything was graded on time, and the instructor took into account student feedback on things like project/midterm considerations, which made me feel like he actually wanted what was best for us students. Being dynamic and easily accessible outside of class made it so I could make sure my project was perfect! The "Tettaai" website also helped when it came to reviewing my project and kept things like attendance clear and accessable.
The public review board displays comment text, star ratings, university name, and recorded date/time only.
Course-Tested
Tetta AI was used during Spring 2026 at the University of Delaware Department of Accounting and Management Information Systems across four course sections and 165 enrolled students over a full semester.
The product screenshots on this page are from those actual Spring 2026 course workflows.
Spring 2026
Full-semester classroom use
4
Course sections
165
Students enrolled
UD
Accounting and MIS
MISY261
MISY350
AI tutor analytics
Instructor analytics from AI tutor use during the Spring 2026 deployment.
Assignment AI tutor
Student-facing AI tutor configured for a course assignment.
Course enrollment
Enrollment manager view from a course section with 43 active students.
Class heatmap
Seat-linked attendance heatmap from an actual class workflow.
Major Modules
Students can check in, confirm attendance activity, and submit absence requests while instructors keep a clearer view of course participation.
Attendance Insights
App view
Instructors can shape the tutor around course context, while students get always-available teaching-assistant support connected to class expectations.
AI Tutor Configuration
App view
Instructors can use AI to refine course materials and generate rubrics that make expectations clearer before students begin.
AI-Assisted Rubric Generation
App view
Instructors can create assignments from uploaded documents, existing course content, or a short goal, then review the generated structure before publishing.
AI-Assisted Assignment Creation
App view
Instructors can turn course materials into audio recaps students can revisit before class, while students get another way to review key ideas on the go.
AI Podcast Player
App view
Instructors can build visual classroom maps, manage seat availability, and connect seating context to attendance workflows.
Seating Map Setup
App view
Seat maps can become attendance context, helping instructors spot absence patterns across the room without losing the connection to individual records.
Seat Hotspot Insights
App viewAI feedback on homework submissions helps students improve before final submission, while rubric-aware review workflows make expectations more visible.
AI Feedback Dashboard
App view