ISMGenius
AI-assisted assignment feedback for Queensland students
ISMGenius was developed to address a familiar problem in learning. Students often receive the most useful feedback too late, after final submission or after grading. ISMGenius moves that feedback earlier in the process by analysing draft work against the intended criteria before submission.
Why it was built
Meaningful feedback is one of the most valuable parts of learning, but it often arrives too late to shape the final outcome. Students can spend significant time on a draft without knowing whether it aligns with the rubric, where it is strongest, or what still needs work.
What ISMGenius does
ISMGenius analyses an uploaded assignment against the relevant rubric and returns a structured feedback response designed to support revision.
- Rubric-aligned feedback
- An estimated performance level
- Strengths and weaknesses by criterion
- A practical improvement checklist
- AI and plagiarism checking tools
- A clearer picture of what to revise before submission
Impact
Assignments
Students
Plagiarism Scans
Words Generated
Designed around clarity
The platform is designed to reduce confusion, not add more of it. Instead of vague feedback, the system aims to present feedback in a way that feels actionable, readable, and useful in the revision process.
Current position
ISMGenius is a live product and represents JJcoded's strongest public example of applied AI in a practical education context. It reflects the studio's wider interest in software that supports real work rather than bypassing it.
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