The PTP Model: A Predictor for Computer Programming Success

Oliver Kerr, Nicky Danino
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Abstract

The fundamental concepts of programming are essential to any Computer Science course yet, these concepts can appear significantly more abstract than students have encountered in the past. These abstract concepts can become so daunting to students, that they experience ‘programming shock’ during their first encounter with programming, as they attempt to decipher a number of concepts, error messages and unfamiliar syntax all at once. Once a student encounters programming shock, it can be extremely disheartening and if not overcome, can sometimes result in a student dropping out from a course. Through the use of specifically designed aptitude tests conducted with first year Computing students, this investigation has provided sufficient evidence to prove a link between mental model usage and student performance in an introductory programming module, as well as enabling the development of the Programming Thought Process (PTP) model, which can be used to identify students most in need of support.
PTP模型:计算机编程成功的预测器
编程的基本概念对任何计算机科学课程都是必不可少的,然而,这些概念可能比学生过去遇到的要抽象得多。这些抽象的概念可能会让学生望而生畏,以至于他们在第一次接触编程时就会经历“编程冲击”,因为他们试图同时破译大量的概念、错误信息和不熟悉的语法。一旦学生遇到编程冲击,它可能会非常令人沮丧,如果不克服,有时可能会导致学生退学。通过对计算机专业一年级学生进行的专门设计的能力倾向测试,这项调查提供了足够的证据,证明心智模型的使用与学生在编程入门模块中的表现之间存在联系,并使编程思维过程(PTP)模型得以发展,该模型可用于识别最需要支持的学生。
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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