Support grounded in each course
Students ask about their lecture notes, course PDFs, and faculty-approved reading. Explanations use the page and course context to help them work through difficult concepts.
Give students AI study support grounded in the course material your university teaches. Help faculty see recurring questions and difficult concepts, so they can focus explanations and improve course materials.
Explain this example.
Sure. I’ll explain it using the page currently open.
During a four-week pilot at Al-Zaytoonah University of Jordan, 41 students asked 246 questions through Ketapai using their actual course material. Their use and feedback informed the student workspace and faculty dashboard.
Connect the support students receive while studying with the information faculty need to improve teaching. Bring both into one university learning service.
Students ask about their lecture notes, course PDFs, and faculty-approved reading. Explanations use the page and course context to help them work through difficult concepts.
Recurring questions and frequently discussed pages help faculty decide which concepts to revisit, which explanations to clarify, and where additional practice may help.
Offer Ketapai as a learning service across faculties. Agree institutional access, course coverage, and a launch schedule with your e-learning team, alongside your existing learning environment.
Ketapai places university course material beside the AI assistant. Students can ask about the page they are reading, work through examples, generate practice questions, and create concept maps while studying the material selected by their faculty.
Enter PlatformIllustrative faculty view · sample data
See what students ask while studying your course material. Use question patterns to guide explanations, improve teaching materials, and prepare relevant practice.
Review recurring questions to identify concepts that may need further explanation or a different teaching approach.
Faculty can see which pages prompt repeated questions and use those patterns to refine course materials and revision sessions.
Generate practice questions from the course page being reviewed, then select or refine them to support the learning objective.
Bring course-based student support and faculty insight into an institutional service. Work with Ketapai to agree access, prepare academic content, and coordinate the launch across your university.
Define the student population, faculty access, course coverage, and implementation schedule with your e-learning team.
Faculty-approved course PDFs, lecture notes, and teaching materials are prepared in Ketapai so students can ask questions in the context of the page they are studying.
Students receive course-based study support. Faculty use their dashboard to review questions and guide teaching, with onboarding and support arrangements agreed for the university.
See student support and faculty insight working together with your course material. Request a demonstration for your academic and e-learning teams.
Discuss an institutional agreement covering your university’s students.