Deciding to major in computer science: a grounded theory of students' self-assessment of ability

Colleen M. Lewis, K. Yasuhara, Ruth E. Anderson
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引用次数: 110

Abstract

There is great interest in understanding and influencing students' attraction to computing-related majors. This qualitative study is based on interviews with 31 students enrolled in introductory programming courses at two public universities in the United States. This paper presents a model of five factors that influence student decisions to major in CS and elaborates on our grounded theory analysis of one of these factors: how students assess their CS-related ability. We describe how students measure their ability in terms of speed, grades, and previous experience and how students make interpretations and decisions based upon these measurements. We found that students' interpretations were influenced by experiences in their environments and beliefs about ability as being fixed or malleable.
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决定主修计算机科学:学生自我能力评估的基础理论
人们对理解和影响学生对计算机相关专业的吸引力非常感兴趣。这项定性研究基于对31名在美国两所公立大学学习编程入门课程的学生的访谈。本文提出了一个影响学生选择计算机科学专业的五个因素的模型,并详细阐述了我们对这些因素之一的理论分析:学生如何评估他们的计算机科学相关能力。我们描述了学生如何根据速度、成绩和以前的经验来衡量他们的能力,以及学生如何根据这些衡量来做出解释和决定。我们发现学生的解释受到他们环境中的经历和关于能力是固定的还是可塑的信念的影响。
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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