IB DP 2 AI Maths (SL)
Ancourage Academy · IB DP · DP 2
Content reviewed: Jan 2026
IB DP 2 Mathematics AI (SL) tuition at Ancourage Academy in Singapore (Bishan & Woodlands) offers personalised classes of 3-6 students, providing final examination preparation for applied mathematics pathways. Weekly 2-hour lessons use our ESB methodology to consolidate statistical reasoning, modelling skills, and exam technique for IB assessments. "DP success comes from connecting knowledge across disciplines—students who see patterns between subjects excel in examinations," according to our educators. Our structured approach helps students achieve examination-ready mastery with confident data interpretation and real-world problem-solving.
What Makes Us Different
Our proven teaching methodology combines evidence-based approaches for maximum learning effectiveness
Ebbinghaus Memory Theory
Self-directed retrieval scheduling where students learn to identify their own weak areas and plan review cycles accordingly — developing the metacognitive skills essential for A-Level success and independent university study.
Socratic Questioning
Rigorous dialectic questioning where students must justify their reasoning and consider counterarguments — 'What evidence supports this?' and 'Where could this logic break down?' — building the analytical rigour expected in higher education.
Bruner's Scaffolding
Minimal scaffolding with maximum autonomy — tutors pose challenging problems and observe, intervening only when students are genuinely stuck — preparing students to structure their own approach to unfamiliar problems.
Key Learning Outcomes
Master Key Concepts
Deep understanding of core topics aligned with MOE syllabus
Critical Thinking
Develop analytical and problem-solving skills
Exam Confidence
Strategic exam techniques and time management
Consistent Results
Improved grades and academic performance
Course Structure
Duration
2 hours per lesson
Full coverage with interactive learning time
Class Size
3-6 students per class
Close guidance, timely feedback, and ample practice
Materials
All materials provided
No material fees — all worksheets and resources included
Curriculum Overview
- ✓Number and Algebra — Sequences, exponents, logarithms, financial mathematics, and growth/decay problems.
- ✓Functions and Modelling — Using linear, quadratic, exponential, logarithmic, and trigonometric functions to model real-world data.
- ✓Geometry and Trigonometry — Measurement, area, volume, and trigonometric modelling of practical situations.
- ✓Statistics — Data representation, measures of central tendency/dispersion, correlation, regression, and hypothesis testing.
- ✓Probability — Basic probability laws, conditional probability, expected value.
- ✓Calculus — Introduction to differentiation and integration in applied contexts such as rates of change and optimisation.
- ✓Technology uses — Graphing calculators and statistical software to solve and model problems.
- ✓Internal Assessment (IA) — Independent Mathematical Exploration project applying maths to a real-world situation.
What IB DP 2 AI Maths SL students commonly work on
- 1
Statistical interpretation — analysing real-world data sets and drawing valid conclusions
- 2
Modelling accuracy — choosing appropriate models and evaluating their limitations
- 3
Technology proficiency — using GDC efficiently for statistical and graphical analysis
- 4
IA completion — finalising the Mathematical Exploration with practical application focus
- 5
Data-response questions — interpreting unfamiliar scenarios and applying appropriate techniques
Learning Progression
Builds On
DP 1 AI Maths SL with statistics, modelling, and technology-based problem solving
Prepares For
IB Diploma examinations and university courses in social sciences, business, or life sciences
Key Transition
DP 2 refines practical application — students polish data interpretation and modelling skills for exam conditions.
Related Courses
Explore other courses that complement your learning journey
Frequently Asked Questions
AI exams emphasise real-world applications, data interpretation, and modelling. Both papers allow calculator use, focusing on using technology effectively rather than algebraic manipulation. Questions involve interpreting data, building models, and evaluating their validity.
AI SL is well-suited for humanities, social sciences, and some business programmes. However, science, engineering, and economics degrees often require AA. Check specific university requirements early to ensure the right pathway.
AI explorations should focus on real-world applications: statistical analysis of sports data, modelling population growth, financial planning scenarios, or analysing survey data. The best explorations show genuine personal engagement with applied mathematics.
Our small-group classes are intentionally kept between 3 and 6 students so every learner receives close guidance, timely feedback, and ample practice.
Each lesson is 2 hours, providing ample time for thorough coverage of topics and interactive learning.
Yes. All lesson materials and worksheets are provided and included in the fees. Students should bring regular stationery and, where applicable, school textbooks/workbooks for reference.
Yes. Our materials and pacing align with the MOE syllabus. External syllabuses (e.g. IGCSE, IB) are available upon request.
Ready to Get Started?
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