Cogniti users and administrators organised a mini symposium, offered both online and f2f on 5th November 2024.
Three streams of presentations taking place over 2 1/2 hours. I could only get to a few in between meeting and facilitating workshops.
Notes taken from a few presentations.
- Personalised exam preparation using AI in large cohorts - Dr. Helen Mcquire and Dr. Angela Sun (University of Sydney) context of microbiology/ immunology course. A bespoke AI agent was used to increase teacher presence with students. Went through the rationale and processes to build the chatbot. The important learning from this one, is how it is used by the lecturers, to identify knowledge gaps amongst their learners. Shared AI limitations - repetitive questions, Ai not providing direct exemplar responses. Invited potential collaborators to get in touch.
- Practice makes perfect: AI powered oral assessment preparation with Jim Ennion from Toi Ohomai. Presented on how a virtual client prepares students to become immigration advisers.Used Cogniti to help students prepare for an oral assessment. Cogniti was set up to act as a client. Prompts were set up with scenario information, set the tone to informal/not educated, have uncertain outcomes. Unfortunately, the agent hallucinated and provided incorrect information. However, student engagement was high with positive outcomes. assessment outcomes were marginally better for students who took the opportunity to use the agent.
- Always on teacher: AI brings business studies to life with James Cooper from Scots College, Sydney. Here the teacher formed an AI version of himself (Cooper Jr.) to support students learning business at school (Year 11 and 12). The AI tutor could provide practice questions, mark student responses and help deepen content understanding. The curriculum is very prescribed, so that helped to ring fence the content. Main guide was to provide student support - replacing emails to students, generate revision questions and generate sample responses that are achievable by the students. Described process taken to built the agent. Student feedback was positive. Challenges around imprecision and working beyond the sylllabus scope. Short answers were 'double barrelled' and 'US style'. Shared the work currently to refine the agent, improve short-answer reliability, and mark essays and reports.
Last week, the various recordings of presentations was made available. Below are summaries of a few of relevance at present to my projects.
Notes from videos of presentations
- Reimagining research and writing learning through AI assistants with Dr. Lucy MacNaught and Dr. Kiri Hunter from Auckland University of Technology. Used Cogniti to help guide Masters of Nursing Science students to write research proposals. An intensive programme with many assessments. The view was that students did not have time to even look at feedback from one assessment to the next. Cogniti agents were used to encourage drafting and ongoing gradual improvement of their research proposal. Used Humphrey (2016) teaching and learning sequence to ground their work. Basically, used AI to provide feedback at each stage of the research proposal workflow.
Christie Oldfield from Auckland University of Technology presented on 'enhancing subjective interview skills through AI role-play' in a physiotherapy context. Health care interviews are important to establish rapport with the patient but also to ensure that patient information is obtained to support the therapy sessions. Agent was created to monitor how student progressed through a patient interview.
Plenary closed the symposium. This is presented by Danny Liu, Leitizia Wan, Sam Clarke, Minh Hubyn and Kria Coleman from the University of Sydney DVC (education).
Reflections from the symposium and work undertaken and ideas to take things into the future were covered. Overall, good examples of using Gen AI to support constructivist learning.
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