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Clarity and understanding
Teaching is structured and explicit so students understand how concepts work, not just what to do. The focus is on reasoning, patterns, and building confident, independent thinking.
Teaching Portfolio
Structured lessons, deliberate practice, and clear explanations that help students understand, apply, and succeed.
About Me
I am a Computer Science teacher experienced in IGCSE, AP Computer Science Principles, and AS/A Level Computer Science, with a focus on helping students build strong understanding, confidence, and independence in their learning.
My teaching is structured around clear explanations, step-by-step modelling, deliberate practice, and continuous formative assessment, ensuring that students are actively engaged, supported, and making measurable progress.
I place strong emphasis on both conceptual understanding and exam readiness, guiding students to apply Computer Science ideas accurately in practical tasks, projects, and examination-style questions. Through targeted feedback and structured support, students develop confidence, technical vocabulary, and stronger problem-solving skills.
Teaching Philosophy
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Teaching is structured and explicit so students understand how concepts work, not just what to do. The focus is on reasoning, patterns, and building confident, independent thinking.
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Students learn by thinking, questioning, and solving problems. Through guided practice and a safe-to-fail environment, they test ideas, learn from mistakes, and refine their understanding.
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Assessment is continuous and used to guide learning. Students apply their knowledge through meaningful tasks and projects, connecting Computer Science to real-world contexts.
Teaching Portfolio Chapters
This portfolio is organised as a professional learning journey. Each chapter focuses on a different aspect of my practice, from professional foundations and lesson planning to adaptive teaching, evidence of impact and professional growth against the Teacher Standards.
Introduces my teaching context, professional identity, values and the evidence that frames the rest of the portfolio.
Open Chapter 1Shows how I design Computer Science lessons through prior knowledge, modelling, scaffolding, formative checks and independent application.
Open Chapter 2Uses student responses, lesson evidence and observation feedback to show how I reflect on teaching and refine next steps.
Open Chapter 3Explains how I plan learning as a sequence, connecting prior knowledge, misconceptions, application and assessment.
Open Chapter 4Shows how I make challenging programming and Computer Science learning accessible through modelling, scaffolds, pair work and challenge.
Open Chapter 5Shows how observation, feedback and learning from colleagues have shaped my questioning, modelling, routines and classroom practice.
Open Chapter 6Brings together exit tickets, peer review, student responses and observation evidence to show how teaching supported student learning.
Open Chapter 7A capstone chapter mapping the portfolio evidence to the Teacher Standards and identifying future professional development targets.
Open Chapter 8Portfolio Evidence Map
The portfolio evidence is not a collection of isolated files. It is organised around planning, adaptive teaching, assessment, observation, impact and professional growth.
A complete portfolio structure from professional foundations to professional growth against the Teacher Standards.
Start with Chapter 1Lesson plans, misconception checks, hinge questions and learning sequences showing how lessons are designed for progression.
View planning evidenceExamples of modelling, scaffolding, vocabulary support, pair programming and challenge tasks used to support different learners.
View inclusion evidenceStudent responses, exit tickets, peer review and observation feedback showing learning impact and professional development.
View impact evidenceContact
I would be glad to connect and share more about my classroom practice, projects, and educational contributions.
Get in touch