From Python to Algorithms, AI, and Projects: How Should Students Plan Their Learning Path?
A four-stage learning path that builds Python foundations, algorithmic thinking, responsible AI use, and meaningful projects.
AI Literacy Articles
AI Literacy Articles
AI Literacy Articles
Recent AI Updates: What Actually Matters for Your Child’s Learning
Look past weekly AI headlines and focus on three durable changes: learning contexts, school rules, and the skills students need.
AI Literacy Articles
How Should AI Support Student Learning? Helping Without Replacing
A practical framework for using AI to prompt thinking, practice, explanation, and verification without replacing the student’s work.
AI Literacy Articles, Programming Education
How Should Students Start Competitive Programming? Skills Before Contests
A parent-friendly guide to starting competitive programming through skill-based placement, CP Academy L1-L4, Python or C++, and optional CCC, USACO, GESP, or CSP pathways.
AI Literacy Articles, Programming Education
If AI Can Write Code, Why Do Students Still Struggle to Program?
AI can generate code, but students still need to understand problems, decompose tasks, track program state, debug, test, and transfer ideas. Learn how AI can support rather than replace programming practice.
AI Literacy Articles, Programming Education
Why Computational Thinking Is Not Just for Computer Science
Computational thinking is not just coding. Learn how decomposition, pattern recognition, abstraction, process design, and verification transfer across school, projects, daily decisions, and AI-assisted work.
AI Literacy Articles, Programming Education
What Does the CCC Actually Test?
The CCC is not just a syntax test. This guide explains what the Canadian Computing Competition measures: problem reading, modeling, algorithms, debugging, Junior and Senior expectations, and readiness.
AI Literacy Articles, Programming Education
Do Informatics Competitions Still Matter in the AI Era?
Do informatics competitions still matter when AI can write code? This guide explains their value for problem reading, modeling, algorithm choice, complexity, debugging, verification, and healthy learning.
AI Literacy Articles, Programming Education
What Skills Should Students Build in the AI Era?
What should students learn when AI tools are getting stronger? This guide explains durable AI-era skills: problem definition, computational thinking, verification, communication, creativity, responsibility, and continuous learning.
AI Literacy Articles, Programming Education
Why Python Is Still a Strong First Programming Language in the AI Era
If AI can generate code, why should students still start with Python? This guide explains Python’s value for readability, feedback, debugging, algorithms, and AI-era learning.