Adding AI to an education product does not automatically make the learning experience better. The technology becomes useful when it addresses a specific problem educators or students already experience.
Building Asseska provided an opportunity to explore where AI can meaningfully support assessment workflows.
Question Generation
AI can help educators move from a topic or learning objective to an initial set of assessment questions much faster. The important design decision is ensuring those questions remain editable and reviewable before publication.
Assisted Grading
Objective questions are naturally suited to automated evaluation. Subjective responses introduce more complexity, which makes transparency and lecturer review particularly important.
Rather than treating AI as an unquestionable grader, the workflow should provide educators with the information needed to review results and intervene when necessary.
Reducing Administrative Work
Some of the most useful automation happens outside the AI model itself. Moving submissions through grading workflows, organizing results, and integrating scores with existing systems can remove repetitive administrative work.
Human Review Still Matters
Education involves context, judgment, and academic responsibility. AI can support those processes, but product design should preserve meaningful human oversight.
The Main Lesson
The question should not be where AI can be added. The better question is which parts of an existing workflow create unnecessary effort, and whether AI is actually the appropriate tool for improving them.