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Programming Pedagogy and Assessment in the Era of AI/ML: A Position Paper …
Programming Pedagogy and Assessment in the Era of AI/ML: A Position Paper
Research Question
What are the implications of easy access to such tools on CS1 pedagogy and assessment
Future direction of CS pedagogy
Step2: Signature, purpose statement, header
Pedagogy
Encourage students to include type information where possible
Step3: Functional Examples
Pedagogy
Encourage students to write doctests within their docstrings
Write detailed docstrings based on their understanding of the problem, and to use Copilot to test their understanding
Encourage students to pay attention to Copilot's suggestions
Assessment
The quality of doctests should be assessed with their code
Two metrics for test-case quality: validity and thoroughness
Step4, Step5: Function Template, Function Definition
Pedagogy
Place greater emphasis on code comprehension
Textbooks and lecture materials should include several buggy versions of correct programs, some of which contain subtle errors. These would help student develop critical thinking.
Assessment
Reduced emphasis on traditional code writing problems where a detailed problem specification is provided
Alternate forms of assessments
Computer-based assessments
Paper-based assessments
Adding functionality to given code and improving the given code's style or effciency
written exams
tracing code on given input
selectign code fragment to perform task
explaining code
Step6: Testing
Pedagogy
Automated test-generation tool such as Hypothesis
Methodology
Six steps design strategy proposed by Felleisen et al
Step1: From problem analysis to data definitions
Step2: Signature, purpose statement, header
Step3: Functional Examples
Step4: Function Template
Step5: Function Definition
Step6: Testing
Future Work
Evaluate algorithm couse using 6-stage framework by Loksa et al
Competency Framework
Task
Knowledge
Skills
Disposition