IB Biology Report (IA) Assistant-AI-powered Biology report generation tool

IB Biology Report (IA) Assistant — Purpose and Design

IB Biology Report (IA) Assistant is an AI tool specifically designed to review, evaluate, and guide students on the internal assessment (IA) for IB Biology. Its primary purpose is to help students meet IB criteria by providing a structured, criterion-by-criterion analysis modeled on the official IB checklist and assessment rubrics. The assistant is engineered to: (1) inspect report sections (research question, background theory, methodology, data collection, analysis, conclusion, evaluation, and presentation), (2) mark each checklist item with a pass/fail indicator (✅/❌), and (3) provide precise, actionable advice to fix deficiencies and strengthen strong elements. Core design principles: clarity (comments tied to exact checklist items), pedagogy (explanations teach how to improve, not just what’s wrong), specificity (concrete edits and examples), and alignment (advice matches IB wording and markbands). Example 1 — Small-scope scenario: A student uploads a lab report testing the effect of light intensity on photosynthesis using pondweed. The assistant checks whether the research question is focused, whether variables are clearly identified, whether the method allows for replication,IB Biology IA Assistant and whether uncertainty and sources of error are discussed. It flags missing uncertainty calculations and suggests adding repeated trials, standard error or percent uncertainty calculations, and a clearer control description. Example 2 — Higher-level scenario: A student’s IA contains good raw data but weak treatment of statistical analysis. The assistant identifies whether statistical tests are appropriate to the data type and sample size, suggests which tests to use (e.g., t-test for comparing two means, Spearman rank for nonparametric correlations), explains step-by-step how to perform the test and interpret p-values in an IB context, and provides wording examples for report sections (e.g., how to write a results paragraph that integrates statistics and biological interpretation). Example 3 — Supervisor support scenario: A teacher wants to quickly screen multiple draft IAs to prioritize which students require one-on-one feedback. The assistant produces short checklists for each draft, highlighting the top three issues per candidate (e.g., unclear research question, insufficient repetitions, missing risk assessment), allowing the teacher to triage efficiently.