Responding to Generative AI in LT&A
Lead: Helen Charlton
Email: h.charlton@northumbria.ac.uk
Aims:
This Learning Circle aims to support the development of staff and student GenAI literacy and use by;
- Collating and promoting examples of good practice around GenAI
- Leading on the adaption of LT&A in response to GenAI
Agreed goals – short term (by September);
- Link into university EC working group (via Richard)
- Produce staff facing guides (NB Curation, not creation!)
- Responding to Gen-AI in assessment (inc. redesign)
- Quick case studies on incorporating Gen-AI
- Student facing guides (NB current guides are drawbacks of AI, promptcraft)
- Obtain access for working group to Chat-GPT 4 to scope suitability/issues etc
Agreed goals – longer term (timeline TBC);
- Adapting LOs in response
- Comparison of impact of Gen-AI on outcomes
Discussion notes;
- AI as employability skill
- Proper guidance for assessment
- Things beyond text generation
- Workload reduction
- Authentic assessment – outcomes
- Reconsider AI as learning tool
- Less relevance to grammar/syntax. Focus on higher levels of cognitive analysis
- 1 – assess outcomes 2 – learning tool 3 – workload
- Question of retention of knowledge and engagement
- Future – some skills are no longer needed. What are needed?
- Technology advancing, e.g. synthesis of material, problem solving
- New learning models, updated Bloom’s taxonomy
- Emphasis: results, methodology and analysis (in learner projects)
- Thematic analysis process à relate to literature
- Embedding greater reflection
- ‘I’ + limitations
- Industrial – knowledge/information – utilisation
- Student expectations impact
- Value adding