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Physical Sciences and Mathematics Commons

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Computer Sciences

Technical Reports

2015

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Full-Text Articles in Physical Sciences and Mathematics

Learning Object-Oriented Programming In Python: Towards An Inventory Of Difficulties And Testing Pitfalls, Craig Miller, Amber Settle, John Lalor Mar 2015

Learning Object-Oriented Programming In Python: Towards An Inventory Of Difficulties And Testing Pitfalls, Craig Miller, Amber Settle, John Lalor

Technical Reports

We report a small yet detailed study where we recorded students completing an object-oriented programming exercise in the context of a CS2 course using Python. All students struggled while completing the assignment, most notably experiencing difficulties with parameters and referencing elements with object-dot notation. While previous research has identified these areas as troublesome for novice programmers, our analysis suggests that parameters and reference specifications are particularly critical prerequisites for learning advanced object-oriented concepts with the Python programming language. Given our findings, we recommend extensive practice with parameter passing and object-dot notation before addressing advanced object-oriented concepts in a Python course.