Practice layer
Learning and revision
- Tutor Mode
- Adaptive questioning
- MCQ warm-ups
- Model answers
- AI feedback
- Retrieval practice
What is MachinaViva?
MachinaViva uses short, structured chat-style vivas to make understanding visible. Students explain reasoning in their own words, helping teachers see beyond polished AI-assisted outputs.
Every session generates transcripts, feedback, and integrity indicators without relying on exams or intrusive surveillance. MachinaViva runs inside your VLE or as a standalone platform.
Live AI Session
Why MachinaViva?
Teachers need to see how students think, not just read what they produce.
Learning need
With AI tools always available, it is easy to generate answers but harder to explain them. Students need structured opportunities to articulate reasoning, test ideas, and uncover misconceptions.
Student fluency with AI tools can mask understanding.
Assessment gap
AI can assist with coursework, coding, and written submissions. Final outputs no longer provide reliable evidence of who understands the work.
Output-only assessment cannot confidently judge understanding.
MachinaViva
Structured Viva Flows make students explain ideas in their own words, building understanding while verifying it at scale.
Teachers get transcript, feedback, and integrity signals.
Understanding becomes visible, improvable, and easy to evidence.
Features
Configure guided viva workflows for practice, revision, assessment, and feedback.
Practice layer
Evidence layer
Teacher control
Align sessions to your content, learning outcomes, and assessment priorities. MachinaViva gives teachers broad configuration options, so the same platform can support practice, revision, feedback, or verification in the way you want to use it.
Contact
Tell us what you need and we will follow up with the right next step.