Deepen with Subject Methods and Build V2.0
20 weeks · 3 milestones
Apply rigorous academic methods from at least two school subjects to analyse V1.0 and drive V2.0 improvements. Proof requires: a faculty-reviewed integration plan naming specific curriculum methods, a methods log tracing each analysis result to a V2.0 decision, a deployed V2.0, and a before/after integration report with faculty attestation confirming the subject methods are genuine curriculum techniques.
Milestone map
Milestone map
3 milestones
To deepen your innovation project, you must now apply rigorous academic methods from at least two school subjects to analyse V1.0 and plan V2.0 improvements. Identify which subjects offer directly applicable methods — for example: statistics for usage data analysis, biology or health science for a health-related product, economics for pricing or incentive design, computer science for algorithm optimisation, or environmental science for an ecology-related product. With your faculty supervisor, produce an integration plan documenting: which two subjects and which specific methods from each curriculum you will apply, what data or experiments will be run, and what questions the subject methods are designed to answer. Before any V2.0 work begins, collect baseline data that V2.0 improvements can be measured against.
Proof required
Submit: (1) your integration plan (minimum 400 words) naming at least two school subjects with the specific methods from each curriculum you will apply (e.g. 'Pearson's correlation from Statistics' not 'statistics'), the research questions each method will address, and your faculty supervisor's confirmation that the methods named are genuinely part of your curriculum; and (2) baseline data documentation showing your V1.0 starting state in a format that can be directly compared to V2.0 results.
What gets checked
- Subject methods are named with curriculum-level specificity — 'chi-square test of independence from our statistics textbook, Chapter 11' not 'we will use statistics'; the method must be one the student has actually studied
- Baseline data is collected in a format that enables pre/post comparison — the same measurement will be taken after V2.0 so that improvement is measurable rather than claimed
- The faculty supervisor has reviewed the integration plan and confirmed the named methods are real curriculum methods the student has studied — not methods researched independently for this project