Projects to do

A small college loses applicants at every stage from enquiry to enrolment, but without a simple model it cannot see where improvement matters most.

A skilling programme must show that its costs make sense for the organisation running it and its fees make sense for learners.

Students and teachers have unclear and conflicting ideas about when using AI chatbots on assignments is helpful and when it counts as cheating.

Students from families new to higher education often miss scholarships because information does not reach them in a form they trust.

Busy students rarely finish long courses, yet short daily lessons might help them build a useful skill if designed carefully.

Learners who sign up for a platform often leave before they finish a first lesson because the path from sign-up to value is unclear.

Alumni want to help and students want guidance, but without structure most mentoring offers fade after a single awkward conversation.

Online cohorts lose learners quietly, and by the time anyone notices, the learner has already decided not to return.

Edtech pricing can be confusing, with subscriptions, bundles, free tiers and discounts that make real cost and value hard to compare.

Courses are often designed for an average learner, which can quietly exclude students with disabilities, language barriers or limited internet.

Students swear by re-reading, while research on memory suggests spaced practice may work better, but few test it on themselves.

Students are unsure whether to spend time on online certificates, formal courses or personal projects when preparing for their first job.

Students sign up for learning apps in seconds without reading how their data is collected, because policies are long and hard to follow.

Placement results depend not only on student quality but also on how well the cell prepares students, approaches companies and communicates.

Many students think best in their home language, yet quality study material in regional languages is thin for several subjects.

Teachers are told AI will save them time, but it is unclear which tasks it can safely help with and which should stay human.