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

Colleen M. Lewis, K. Yasuhara, Ruth E. Anderson
{"title":"Deciding to major in computer science: a grounded theory of students' self-assessment of ability","authors":"Colleen M. Lewis, K. Yasuhara, Ruth E. Anderson","doi":"10.1145/2016911.2016915","DOIUrl":null,"url":null,"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.","PeriodicalId":268925,"journal":{"name":"Proceedings of the seventh international workshop on Computing education research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"110","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the seventh international workshop on Computing education research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2016911.2016915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信