Hello everyone!

In my lessons, I focus on creating an interactive and engaging learning environment that balances both theory and hands-on practice. I design lessons that are accessible and adaptable to each student’s learning pace. For example, we might start with a brief introduction to the topic, followed by coding examples and interactive activities where students can apply what they've learned right away.

I’ve taught coding and machine learning to students across different age groups, from 7-year-olds learning Scratch to high schoolers and beyond diving into Python, C++, and R. I use platforms like Google Colab or Scratch to provide a mix of visual and text-based programming. One of the key aspects of my teaching approach is real-time feedback. Students can immediately see the impact of their code, and I guide them through debugging and refining their projects.

I also like to include small projects or challenges, allowing students to solve problems creatively. This not only helps reinforce their coding skills but also encourages critical thinking and collaboration. For younger students, I ensure lessons are fun and relatable, often using games or visual tools to make complex concepts like loops or conditionals easier to grasp.

My experience includes teaching students from various countries, such as in-person classes in Pakistan and online lessons for students in Canada and the Middle East. In these settings, I’ve customized my curriculum to cater to different cultural and educational backgrounds, ensuring everyone feels supported and confident in their learning journey.

Overall, I aim to create a space where students feel empowered to ask questions, experiment with code, and develop the problem-solving skills that are so essential in computer science.