Personalized Learning: Assess each student's strengths and weaknesses to tailor lessons to their needs.
Problem-Solving Focus: Emphasize understanding concepts through problem-solving, especially in subjects like Physics and Maths where applying theory is crucial.
Active Learning: Use interactive methods, such as asking students to explain concepts in their own words or solve problems s...
Personalized Learning: Assess each student's strengths and weaknesses to tailor lessons to their needs.
Problem-Solving Focus: Emphasize understanding concepts through problem-solving, especially in subjects like Physics and Maths where applying theory is crucial.
Active Learning: Use interactive methods, such as asking students to explain concepts in their own words or solve problems step-by-step, fostering deeper understanding.
Real-World Applications: Illustrate complex concepts using practical, real-world examples, especially for Physics and Computer Science, to make lessons more engaging.
Step-by-Step Guidance: For complex topics, break them down into manageable steps and encourage critical thinking to solve problems independently.
Lessons are typically 60-90 minutes: Long enough to cover material in-depth without overwhelming the student. This allows for theory explanation, problem-solving, and a review session at the end.
Subject Knowledge: A-level understanding in Physics, Maths, and Computer Science.
Technical Experience: Hands-on experience with coding, and developing machine learning models—especially useful in Computer Science.
Project-Based Skills: Leading a team for satellite data analysis and building a crypto trading bot demonstrates strong problem-solving and analytical skills.
Level: Primarily GCSE and A-level students.
Age: Typically 13-18 years old, but could vary - offering lessons to adults looking to learn these subjects at an A-level standard.
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Secondary school
London