5 items with this tag.
An internal staff development session for the CPC team introducing AI through Microsoft Copilot. Covers what AI is and isn't, safe working practices, structured prompting with the RGID heuristic, and hands-on practice — with the goal of each participant leaving with one specific task to try that week.
Prompt injection is a technique in which instructions embedded in text cause an AI system to follow them as commands. In educational contexts it has appeared as an AI detection mechanism in assessment — which raises sharper questions about authorisation and trust than it might initially seem.
Persistent context included in every message to an AI model, establishing consistent behaviour, knowledge, or constraints across interactions.
Using natural language to produce desired responses from large language models through iterative refinement
Higher education's focus on prompt engineering — teaching technical skills for crafting AI queries — represents a misunderstanding of learning. This essay argues that prompts emerge from personal meaning-making frameworks, not technical mechanics, and that the institutional impulse to control AI interaction reveals a 'learning alignment problem': systems optimising for measurable proxies like grades rather than authentic curiosity. Drawing parallels to AI safety's value alignment problem, it shows how AI exposes that many assignments were already completable without genuine intellectual work. Universities must shift from control to cultivation paradigms, recognising that learning is personal and resistant to external specification, ensuring AI becomes a partner in human flourishing rather than a tool for strategic performance.