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Bangkok, Thailand
I am delighted to introduce myself as a Computer Science teacher for the DP IB curriculum. I teach students in grades 11 and 12 using a learning approach that involves asking quest... Mehr lesen
ABES Engineering College
Regularly participate in online courses and webinars on platforms like Coursera and Udemy. Follow tech blogs, forums (Stack Overflow, GitHub), and communities to stay informed. Experiment with new programming languages and tools through personal projects. Attend local and international coding meetups and hackathons.
Provide curated practice problems from websites like LeetCode, Codeacademy, Freecodecamp HackerRank, and Codewars. Share coding templates and cheat sheets for quick reference. Assign personalized coding challenges based on the student’s current level. Recommend books, tutorials, and documentation specific to the language being taught.
Developed simple web applications using HTML, CSS, and JavaScript. Guided students in creating data analysis projects using Python and pandas. Helped design interactive games using Scratch and Pygame. Assisted in database management tasks using SQL queries. Mentored students in building IoT projects using Arduino and Raspberry Pi.
IDEs: Visual Studio Code, PyCharm, and Replit for hands-on coding. Platforms: Google Colab for Python and Jupyter Notebooks for data science. Collaboration tools: GitHub for version control and code sharing. Visual aids: Code simulators and interactive sandboxes like CodePen. Project management: Trello and Notion to track student progress and assignments.
Portfolio Website: A personal webpage built with HTML, CSS, and Bootstrap. Weather App: A dynamic app using APIs to fetch real-time weather data. Database System: Designed a student management system using SQL. Interactive Quiz: Developed a Python-based terminal quiz with scoring and feedback. Game Development: Created a “Snake” game using Python’s Pygame library.
Yes, I specialize in advanced topics such as: Algorithm design (e.g., divide and conquer, dynamic programming). Data structures like linked lists, trees, stacks, and queues. Time and space complexity analysis. Practical applications like sorting algorithms, graph traversal, and hashing.
Help students create a structured timeline for each assignment with clear milestones. Break down assignments into smaller, manageable tasks. Use productivity tools like Trello or Notion to track deadlines and progress. Encourage focus sessions with the Pomodoro technique for efficient time use. Provide regular reminders and offer support during crunch times.
Provide detailed feedback after each submission, focusing on: Code readability and structure. Optimization and efficiency of the solution. Logical and functional correctness. Offer real-time feedback during coding sessions. Conduct weekly review sessions to highlight areas of improvement and celebrate progress. Encourage peer code reviews to foster collaborative learning.
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