Academic Misconduct and GenAI
Generative AI tools reached students faster than institutions could write policy for them. Within months of ChatGPT's public release, UK universities had to decide, case by case and often under press scrutiny, whether…
Education and Research
Pedagogy, learning design, and research methods.
Fractal Terrain Report
A Digital Elevation Model (DEM) is a raster grid that assigns an elevation value to each cell of a geographic area, and it underpins most terrain work in GIS, hydrology, disaster planning and computer graphics alike [1]…
What Higher Education Needs to Do About GenAI
Most of the public debate about generative AI in universities has focused on catching misconduct. That is necessary but not sufficient — the harder, less visible problem is that GenAI is now something most students use…
Avoiding the AI Short-Circuit
The strongest evidence currently available on generative AI and learning outcomes — a 30-month panel study of 26,811 secondary students — finds that using GenAI to complete homework raises assignment scores by 18% and…
Managing Individual Learning Plans Across Large Cohorts
An Individual Learning Plan (ILP) — the record of the reasonable adjustments a disabled student needs, whatever a particular institution's paperwork calls it — is easy to manage well for a handful of students and hard…
Rubrics in HE
Detailed rubrics carry a real, moderate, well-documented average benefit to the marks awarded on assessed work and to self-regulated learning — but that outcome measure is not the same thing as learning retained, and…
Synthesis by humans and machines
Generative AI has made it easy to produce something that looks like an original piece of work — an essay, a design, a working program — without a person having done the combining themselves. That's forced a useful…
Supporting Students with GenAI: Why Trust Comes Before Policy
Most guidance on students and generative AI is a list of rules, and rules only reach students who are already listening. This page starts from a different observation, made by one lecturer over several cohorts: students…
Teaching with GenAI: Require It, Then Ask What It Did
A ban on AI in assessed work is hard to sustain when students are already using it. In the HEPI/Kortext survey, 92% of undergraduates used generative AI and 88% had used it on assessed work [1] . That leaves two…
Local AI for Marking Support: A Live Build, and Why It Isn't Ready Yet
This page describes a real, working piece of software, not a description of a plan: a pipeline that runs locally hosted language models over substantial student project reports and produces per-criterion marks…
Grounded Theory at AI Speed: Borrowing Agile Patterns for a Domain That Won't Hold Still
Grounded theory was built for domains that sit still long enough to be understood: gather data, code it, gather more to test the emerging categories against, and keep cycling until new data stops producing new…