AI for Programming: Teaching Approach

Learn to use AI as a programming assistant while taking responsibility for the result. These activities guide students to formulate a problem, prompt AI tools, examine generated code, test its behavior, identify errors, and justify improvements. Submit the saved JSON record as evidence of your evaluation and reasoning.

3 Practice Tools

Problem Planner

Pseudocode, Design, and Validation

Break down any coding problem before writing a single line. Design your solution step by step in pseudocode, then implement, verify, and validate it with structured test cases.

Week SelectorPseudocode DesignStep-by-Step WorkflowTest CasesJSON Export

Open Problem Planner

Bug Hunter

Syntax, Logic, and Design Errors

Find and fix bugs in C++ code samples organized by week. Three difficulty levels with syntax highlighting, a live challenge timer, and automatic grading on every submission.

Week SelectorSyntax ErrorsLogic ErrorsDesign ErrorsAuto-GradingJSON Export

Open Bug Hunter

Code Judge

Compare, Evaluate, and Review

Compare two C++ solutions side by side. Evaluate readability, correctness, efficiency, and design quality then write structured code review comments like a professional engineer.

Side-by-Side Code5 Analysis QuestionsRubric RatingReview CommentsVerdict GeneratorJSON Export

Open Code Judge

How It Works

For Students

Start with Problem Planner for every new assignment
Read the problem carefully and identify all requirements first
Design your pseudocode before writing any code
Use Bug Hunter weekly to sharpen your debugging instincts
Use Code Judge to practise professional-level code review
Export your completed worksheet as a JSON file to submit

For Instructors

Review submitted JSON files for each student submission
Update debug challenges by week and difficulty level
Change code review scenarios each semester
Track session timing and self-assessment scores
Use JSON exports for ABET outcome evidence