Deciding to major in computer science: a grounded theory of students' self-assessment of ability
Deciding to major in computer science: a grounded theory of students' self-assessment of ability
复制标题
决定选择计算机科学专业：学生能力自我评估的扎根理论
DOI：
10.1145/2016911.2016915
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Ruth E. Anderson
中科院分区：
文献类型：
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作者：
Colleen M. Lewis;K. Yasuhara;Ruth E. Anderson
人们对理解和影响学生对计算相关专业的吸引力非常有兴趣。这项定性研究基于对美国两所公立大学入学编程课程的31名学生的访谈。本文提出了一个五个因素的模型，这些因素会影响学生对CS专业的决策，并根据我们对以下因素之一的扎根理论分析进行详细说明：学生如何评估与CS相关的能力。我们描述了学生如何在速度，成绩和以前的经验方面衡量自己的能力，以及学生如何根据这些测量做出解释和决策。我们发现，学生的解释受到其环境中的经验以及对能力的固定或延展性的信念的影响。
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.