Job Description
Coding and creation of a Generative AI API tool, along with creation of an appropriate prompt, as detailed further in the Notes for Worker above.
The Professional Law Institute (part of the Dickson Poon School of Law) is looking for a research assistant who can code a Generative AI API tool. The coding is likely to be Python coding. This is to trial whether Generative AI can provide appropriate, and useful feedback, on a formative assessment for the Land Law module on the MSc in Law and Professional Practice course (which is a post-graduate course for non-law students).
We need a tool that allows us to upload a Suggested Answer to the formative, which is then kept hidden behind a ?wall? from students (so we do not want them to have access to this Suggested Answer). The students will then upload their own formative answer to the AI tool and then the tool will be asked (through use of a structured prompt) to compare their answer to the Suggested Answer, give the students feedback (for instance where their answer is weaker than the Suggested Answer) and then engage in a dialogue with the students pushing them to improve their work. So we need the tool produced to do this, and we also need help with the structured prompt to be used for the students to input into the tool. Pedagogically, we do not want students being given ?model? answers and this tool means that the Suggested Answer remains undisclosed.
Ideally this tool would be integrated into KEATS, but, if not possible, then this can sit on a separate website.
QualificationsWe are looking for a student from the Department of Informatics, for example, a masters? level student in Computing or Artificial Intelligence, although a 3rd year undergraduate student in Computer Sciences or Artificial Intelligence would also be considered.
SkillsCoding skills, and experience with Generative AI tools and applications. Good understanding of prompt engineering.
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