Advert description
My lessons are interactive, structured, and shaped by my own experience learning Computer Science at both GCSE (OCR specification) and A-Level. Because I’ve gone through the same content and challenges myself, I understand where students typically struggle — whether it’s understanding algorithms, decoding exam questions, or getting confident with programming — and I tailor my teaching to make these topics clear and approachable.
Each session begins with a short recap or discussion of key ideas, just like the structured approach used in GCSE and A-Level Computer Science. This could include algorithmic thinking, computational logic, data representation, or the OCR-style pseudocode conventions. After this, we move into guided practice where students apply concepts through coding tasks, exam-style questions, and problem-solving activities.
When teaching programming, I draw on how I learned Python throughout my GCSE and A-Level courses. I focus on building a solid understanding of core programming constructs before introducing more advanced skills such as object-oriented programming, data structures, and program design techniques. I often include small projects or challenges that mirror the kind of thinking required for NEA-style tasks, helping students develop independence and creativity in their code.
Because I’ve experienced the Computer Science journey first-hand, I adapt my teaching style to each student’s pace, confidence level, and goals — whether they’re preparing for OCR exams, learning to code from scratch, or aiming to boost their problem-solving ability. I encourage questions, provide regular feedback, and aim to make lessons supportive, engaging, and genuinely enjoyable.
Overall, my lessons combine clarity, structure, and enthusiasm. I want every student to leave feeling more confident, more capable, and more inspired to explore Computer Science further.