Towards a programming environment that adaptively suggests examples and corresponding puzzles based on programmer skill

Kyle J. Harms
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引用次数: 4

Abstract

Programmers often re-appropriate code or new programming skills they find in unfamiliar code within their own programs [1], [2]. This process enables programmers, including novices, to acquire new programming knowledge while working on their own programming projects. Unfortunately, novice programmers often have difficultly understanding and integrating existing code into their own programs [3], thereby limiting acquisition of new programming concepts found within unfamiliar code. In this paper, I describe my prior work attempting to decrease the burden of learning new programming concepts found in unfamiliar code with automatically generated programming tutorials. Later, I introduce my proposal to create a programming environment that adapts to the skill level of the programmer while introducing programming concepts found within existing code by suggesting example code alongside programming puzzles.
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朝着一个编程环境,自适应地建议的例子和相应的难题,基于程序员的技能
程序员经常在自己的程序中重新使用他们在不熟悉的代码中发现的代码或新的编程技巧[1],[2]。这个过程使程序员(包括新手)能够在从事自己的编程项目时获得新的编程知识。不幸的是,新手程序员通常很难理解并将现有代码集成到自己的程序中[3],从而限制了在不熟悉的代码中获得新的编程概念。在本文中,我描述了我之前的工作,试图通过自动生成的编程教程来减少在不熟悉的代码中学习新编程概念的负担。随后,我介绍了我的建议,即创建一个适应程序员技能水平的编程环境,同时通过提供示例代码和编程难题来介绍在现有代码中发现的编程概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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