One workable approach is for AI to conduct a viva voce exam with each student: after the student answers a question on a topic, the session prompts with another question which digs deeper. This goes on for say 8-12 questions, getting deeper each time.
I checked this idea by asking ChatGPT to examine my understand of 1970’s CPU history, assuming I was a CompSci student. After it asked me a series of 8 questions on Intel’s devices from the 4004 onwards, ChatGPT assessed me as a 2nd year student and graded me with a Credit. The experience was quite convincing and at the end it summarised the gaps in my knowledge, which I agreed with. It was also able to say what criteria it was using to assess me.
So why can’t AI-viva voce be a method to help students and professors with teaching and learning?
Try it out, in a subject or language you know well. Adapt this prompt:
Pretend I am an undergraduate student of Computer Science. I am learning about early microprocessors from the 1970s. I want you to ask me an examination question as if you were doing a viva voce exam with me to test my understanding of concepts. I want you to receive my answer and then based on what I said I want you to ask me a more specific question to probe my understanding. Repeat this interaction up to 8 times. Then grade my understanding so far, by giving me a pass, merit, credit, or distinction? Can you explain how you arrive at the grade based on my answers and your expectation of undergraduate knowledge of microprocessor theory?
Comments
One workable approach is for AI to conduct a viva voce exam with each student: after the student answers a question on a topic, the session prompts with another question which digs deeper. This goes on for say 8-12 questions, getting deeper each time.
I checked this idea by asking ChatGPT to examine my understand of 1970’s CPU history, assuming I was a CompSci student. After it asked me a series of 8 questions on Intel’s devices from the 4004 onwards, ChatGPT assessed me as a 2nd year student and graded me with a Credit. The experience was quite convincing and at the end it summarised the gaps in my knowledge, which I agreed with. It was also able to say what criteria it was using to assess me.
So why can’t AI-viva voce be a method to help students and professors with teaching and learning?
Try it out, in a subject or language you know well. Adapt this prompt:
Pretend I am an undergraduate student of Computer Science. I am learning about early microprocessors from the 1970s. I want you to ask me an examination question as if you were doing a viva voce exam with me to test my understanding of concepts. I want you to receive my answer and then based on what I said I want you to ask me a more specific question to probe my understanding. Repeat this interaction up to 8 times. Then grade my understanding so far, by giving me a pass, merit, credit, or distinction? Can you explain how you arrive at the grade based on my answers and your expectation of undergraduate knowledge of microprocessor theory?