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Programming Is Hard - Or at Least It Used to Be

Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos

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Abstract

The introductory programming sequence has been the focus of much research in computing education. The recent advent of several viable and freely-available AI-driven code generation tools present several immediate opportunities and challenges in this domain. In this position paper we argue that the community needs to act quickly in deciding what possible opportunities can and should be leveraged and how, while also working on overcoming otherwise mitigating the possible challenges. Assuming that the effectiveness and proliferation of these tools will continue to progress rapidly, without quick, deliberate, and concerted efforts, educators will lose advantage in helping shape what opportunities come to be, and what challenges will endure. With this paper we aim to seed this discussion within the computing education community.

Topics & Concepts

Computer scienceDomain (mathematical analysis)Focus (optics)Position paperCode (set theory)Position (finance)Data scienceEngineering ethicsWorld Wide WebEngineeringSet (abstract data type)Programming languageBusinessOpticsMathematical analysisMathematicsPhysicsFinanceTeaching and Learning ProgrammingEducational Games and GamificationSoftware Testing and Debugging Techniques
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