A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence

Mohsen Taheri, Monique S. Ross, Z. Hazari, M. Weiss, M. Georgiopoulos, Kenneth J. Christensen, Tiana Solis, Atalie Garcia, Deepa Chari
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引用次数: 12

Abstract

This Research Full Paper presents the effects of computing identity sub-constructs on the persistence of computer science students. Computer science (CS) is one of the fastest growing disciplines in the world and an emerging critical field for all students to obtain vital skills to be successful in the 21st century. Despite the growing importance of computer science, many university and college programs suffer from low student persistence rates. Disciplinary identity is a theoretical framework that refers to how students see themselves with respect to a discipline and is related to long-term membership in a disciplinary community. The theory has been effectively applied in Science, Technology, Engineering, and Mathematics (STEM) to understand students' success and persistence. This study examines the effects of performance/competence, recognition, interest and sense of belonging on the academic persistence of computer science students. A survey of approximately 1,640 computing students as part of a National Science Foundation (NSF) funded project was developed and administered at three metropolitan public institutions. Confirmatory Factor Analysis (CFA) was performed to validate the sub-constructs of identity for use in a computing identity model. Then, a structural equation model (SEM) was constructed as a snapshot of the structural relationships for describing and quantifying the impact of the identity sub-constructs on persistence. The results indicated that our model for CS aligns with prior research on disciplinary identity but also adds the importance of sense of belonging. In addition, the findings indicate that students' academic persistence is directly influenced by their interest. A better understanding of these factors may leverage insight into students’ academic persistence in computer science/engineering programs as well as a meaningful lens of analysis for further curriculum and extracurricular activities.
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计算身份子构与学生学业坚持的结构方程模型分析
本研究旨在探讨计算身份子构对计算机专业学生持续学习的影响。计算机科学(CS)是世界上发展最快的学科之一,也是所有学生获得21世纪成功的重要技能的新兴关键领域。尽管计算机科学越来越重要,但许多大学和学院课程的学生坚持率很低。学科认同是一个理论框架,指的是学生如何看待自己与一门学科的关系,并与学科社区的长期成员关系有关。该理论已有效地应用于科学、技术、工程和数学(STEM),以理解学生的成功和坚持。本研究考察了成绩/能力、认知、兴趣和归属感对计算机科学专业学生学业坚持的影响。作为美国国家科学基金会(NSF)资助项目的一部分,在三个大都市公共机构对大约1,640名计算机专业学生进行了调查。验证性因子分析(CFA)被执行,以验证身份的子结构在计算身份模型中使用。然后,构建结构方程模型(SEM)作为结构关系的快照,用于描述和量化身份子结构对持久性的影响。结果表明,我们的CS模型与先前关于学科认同的研究一致,但也增加了归属感的重要性。此外,研究结果表明,学生的学习兴趣直接影响学生的学业坚持。更好地理解这些因素可以帮助我们了解学生在计算机科学/工程专业的学习坚持,也可以为进一步的课程和课外活动提供有意义的分析视角。
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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