The Education System Is Complex
OneTutor can be used in various course types and formats. The following examples show how different disciplines and teaching formats apply OneTutor in practice.
1. Traditional Lecture
The main goal of traditional lectures is to deliver content to large groups.
Course Size: 50–1500 students
Course Type: Lecture + Tutorial
Materials: Lecture notes, recordings, exercises, sample solutions, glossary of key terms
Setup:
This is the standard use case that OneTutor can handle without special adjustments.
Course materials (e.g., slides, lecture notes, exercises) are uploaded directly.
Quiz questions can be automatically generated by the AI, focusing on comprehension and simple applications.
Student Use:
Ask comprehension questions about definitions and notations
Clarify organizational issues (as long as covered in the materials)
Self-test and uncover knowledge gaps using quizzes
Deeper Integration:
Beginning: Offer a short recap at the start of a session. Students can ask OneTutor questions for about five minutes.
End: Let students answer quiz questions after a topic to check understanding and reveal learning gaps.
Breaks: Encourage students to ask open questions in the chat; instructors can later address recurring issues in class.
Benefits:
Fewer repeated questions
Less email and forum communication
Better student understanding
2. Languages & Soft Skills
What distinguishes these courses is that the content and learning goals don’t fully overlap. For example, a course may cover a professional topic (e.g., entrepreneurship) while the actual learning goal is developing soft skills. Courses are usually smaller and more interactive, focusing on collaboration and exchange among students.
Course Size: 10–50 students
Course Type: Block seminar, group work
Materials: Textbooks
Setup:
Course materials often don’t cover the full learning goals, so “Answer Strictness” should be set to “Flexible.”
Often a more customized AI behavior is desired than the default; this can be achieved through “Additional Chat Instructions” in the course settings.
Course materials are used to provide topics and demonstrate the appropriate language level. Only documents that are also accessible to students should be uploaded.
Meta information (e.g., language level, learning goal) should be added in the course description and in Advanced Settings (“Additional AI Instructions”) to precisely control the tutor’s behavior.
Quiz generation can also be tailored via additional instructions, e.g., to focus on grammar rules or specific skill areas.
Quiz Integration:
Vocabulary or comprehension tests on discussed topics
Short writing tasks, e.g., crafting a pitch statement
Grammar tests or exercises targeting common mistakes
Benefits:
Realistic language practice
More opportunities to practice outside of class
Direct, personalized feedback on language use
3. Seminars & Practical Courses
Course Size: 15–40 students
Course Type: Seminar/Project Work
Materials: Syllabus, schedule/deadlines, submission process, grading rubrics, templates
Setup:
Course materials often don’t fully cover learning goals, so “Answer Strictness” should be set to “Flexible.”
Upload relevant organizational materials (e.g., syllabus, deadlines, submission info).
Adjust chat behavior via Additional Instructions, e.g., for more brainstorming or interactive guidance.
Student Use:
OneTutor acts as a self-service organizational FAQ — answering questions about submissions, citation style, group work, or office hours.
Quiz Integration:
MC (Onboarding): Ask about rules and grading rubrics
FT: “Create a project milestone plan in 3 bullet points”
Benefits:
Far fewer organizational questions
Clear understanding of deadlines and requirements
More consistent and higher-quality submissions
4. Medical Anamnesis Conversations
A specialized use case for conversation simulation.
Course Size: 20–150 students
Course Type: Seminar/Practical Training (Skills Labs)
Materials: Case vignettes, SOAP notes, checklists, example dialogues
Student Use:
Students practice structured anamnesis conversations with the AI tutor acting as the patient. They train open questioning, follow-up techniques, and recognition of red flags.
Quiz Integration:
MC: “Select-all” for red flags/missing follow-ups; distractors represent typical misconceptions
FT: 3-bullet differential diagnosis + next step (no full treatment plan)
Benefits:
Realistic simulations
Improved questioning and communication skills
Measurable checklist compliance