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Browse all of our blog posts in the IB category here.
Most IB ESS candidates spend 15 hours on their IA but lose marks on the personal engagement and exploration objectives before writing a word. This article decodes what examiners actually reward.
Read postMost IB ESS candidates identify the correct feedback loop in their answers — yet still lose marks. The gap is cascade reasoning: tracing how first-order effects trigger second-order feedback across…
Read postMost IB ESS candidates write descriptions where examiners expect causal mechanisms. This guide unpacks the mechanistic reasoning tier — the thinking layer that separates Level 5 from Level 7 in Paper…
Read postMost ESS candidates revise by unit, but the exam tests integration across all five syllabus areas. This framework shows how to build a mental map that makes Paper 2 evaluation questions far easier.
Read postMost IB History candidates understand sources appear in both papers. Fewer understand that Paper 2 demands a structurally different evaluation skill — one that trips up even capable students.
Read postMeasurement uncertainty appears across IB Physics Paper 1, Paper 2, and the IA — and costs marks in ways candidates rarely anticipate.
Read postData-based questions in IB Biology Papers 2 and 3 separate 6s from 7s. Most candidates describe data instead of interpreting it. Here is the four-step framework that changes this.
Read postThe IB Visual Arts Comparative Study accounts for 30% of your mark, yet most candidates misunderstand what the rubric actually rewards.
Read postIB Math AI candidates who lean heaviest on their GDC often score lower on Papers 1 and 2 than peers who use it selectively.
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