This is just a short reflection on a session I facilitated at the Jisc Student Experts Meeting last week in Birmingham. As part of the next phase of the Beyond Blended programme, and based on feedback from our pilot institutions we are looking at developing an assessment and feedback view of our four modes of participation model. So I use the session to get groups to think about the types of assessment they currently use in each of the modes, and what mode feedback is given in – so lots of post-it note action! This was followed by a bit more of an indepth discussion around assessment and feedback and the opportunities/challenges for both educators and students.
In all the talk of (Gen)AI just now, particularly around assessment and feedback, it does seem that there is a default answer and expectation of training, particularly for staff. How many principles, frameworks have staff training/development in them? Now I’m not for a moment saying that isn’t needed, but at the same time as this is mentioned, there is the flip side of the conversation around things moving so quickly how can we, not just catch up, but keep apace with AI system developments. We’re also at a point (in the UK at least) where there is “a lot” of change in the system, with thousands of staff leaving the sector (and not always voluntarily).
Timetables are already full and with added pressures and uncertainties of staff and student numbers, time is even more precious. In this context quite often the first thing to go when staff are time pressed is any kind of CPD. So where and how do we find the time for relevant and useful AI training? A couple of hours aren’t really going to cut it with AI are they? It’s not a tick box exercise.
There are so many aspects that really need to be given quite a bit of time so that our staff are able to be critically informed to make effective, ethical disciplinary relevant design decisions for their students. In these uncertain times, trust is more important than ever. So I do think that having trusted places, spaces, platforms where we can start to explore, critique, challenge, and decide where and when to use (or not use) GenAI is increasingly important.
At a strategic level this could be institutions being really explicit about what training models are being used by institutional systems, how is data being process/used. What choices are actually available for staff and students in terms of using /opting out of GenAI systems? Who decides? We also need to think about how we make our educational spaces and places (physical and digital) trusted spaces for staff and students. Universities should be places of trust and safety for both educators and students.
So I think we need to have more conversations around what trusted educational spaces look like in the 2020’s, how we create, support and develop them. In terms of our Six Pillar for Beyond Blended, the top half of our diagram has really resonated with our pilot projects- particularly place and pace of learning but maybe it’s time to make trust a more explicit part of this model and the conversations it is supporting.




