This is the core message of a surprisingly upbeat paper. There is no solution to the AI and assessment problem because it’s a classic example of a wicked problem. This means that, as they put it on pg 2:
Wicked problems, as opposed to ‘tame’ problems, do not have ‘correct’ or ‘incorrect’ solutions (Rittel and Webber 1973). This does not mean there are no ways forward, nor does it mean that all ways forward are equally valuable. However, it does mean that responses must look very different. For one, they require a shift from seeking definitive answers to engaging in ongoing, adaptive work shaped by competing priorities and evolving conditions.
There are a number of reasons they claim it is a wicked problem:
- It cannot be clearly or conclusively defined
- There is no clear criteria for knowing when ‘the solution’ has been reached
- There are only better or worse options involving trade offs
- There is a lack of clear metrics to adjudicate between these better or worse options
- They cannot be studied through trial and error because every trial has real world consequences which means decision makers are on the line for them
- The range of putative solutions and potential approaches is pretty much limitless
- They exist because of deeper structural issues and reflect these issues
- The framing determines which approaches show up for us as relevant
This means academics are “put in the position of needing to make continuous professional judgments in conditions of permanent uncertainty” (pg 12). This is not a good position to be in and it’s not going away. Rather than a council of despair, recognising the character of wicked problems is necessary for helping us cope with being placed in that position:
- “First, it lifts the impossible burden on teachers and institutions to immediately get things right once and for all. When problems are unsolvable and ever-changing, missteps and course corrections are not failures. They are part of doing the work well.” (pg 12)
- “Alternatively, a wicked problem frame suggests that trade-off are necessary and there is no optimal balance nor solution. The teacher who wondered ‘Have I struck the right balance? I don’t know’ (T6) was describing the uncertainty inherent in weighing pedagogical goals against workload, security against authenticity, current needs against future preparation.” (pg 13)
- “Permission to diverge recognizes that in wicked problems, context determines every- thing. What transforms learning in a 20-student philosophy seminar becomes logis- tically impossible with 250 business students. What prepares future lawyers for AI-integrated practice might undermine the clinical skills nurses need.” (pg 13)
It means we can accept there is no fix but rather iterative and evaluative design work which is necessary because the environment has shifted in a fundamental sense. What matters is that we are moving in the ‘right’ direction while ensuring that we build up a variegated (and always provisional) sense of what ‘right’ is that reflects the range of different practices and imperatives within a multidisciplinary university.
