Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis
Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis
复制标题
坚持预测短期计算课程注册人数的意图：量表开发、验证和可靠性分析
DOI：
10.1145/3545945.3569875
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Yoder, Spencer
中科院分区：
文献类型：
--
作者：
Harred, Rachel;Barnes, Tiffany;Fisk, Susan R.;Akram, Bita;Price, Thomas W.;Yoder, Spencer
许多计算机科学教育工作的一个关键目标是增加坚持计算机科学领域和计算机职业的学生的数量和多样性。计算机科学领域已经开发了许多干预措施，旨在提高学生对计算的坚持性。然而，往往很难衡量这些干预措施的效力，因为通过跟踪干预措施后的学生入学和职业安置情况来衡量实际的持续性是困难和耗时的，有时甚至是不可能的。在社会科学中，态度研究经常被用来解决这个问题，因为态度可以在引入干预措施的同时以调查的形式收集，并且可以预测行为。这可以让研究人员在投入时间和精力进行纵向分析之前评估干预措施的潜在功效。在本文中，我们开发并验证了一个规模来衡量意图坚持计算，并证明其在预测实际的持久性所定义的在两个学期内注册另一个计算机科学课程。我们进行两个分析，做到这一点：首先，我们开发了一个计算持久性指数和测试我们的规模是否具有高阿尔法可靠性和我们的规模是否预测实际的持久性计算使用学生的课程注册。其次，我们进行分析，以减少规模的项目数量，使规模容易为他人包括在自己的研究。本文通过开发和验证一种新的衡量坚持计算的意图的方法来促进计算教育的研究，该方法可用于计算机科学教育工作者评估潜在的干预措施。本文还创建了一个简短版本的索引，以方便实现。
A key goal of many computer science education efforts is to increase the number and diversity of students who persist in the field of computer science and into computing careers. Many interventions have been developed in computer science designed to increase students' persistence in computing. However, it is often difficult to measure the efficacy of such interventions, as measuring actual persistence by tracking student enrollments and career placements after an intervention is difficult and time-consuming, and sometimes even impossible. In the social sciences, attitudinal research is often used to solve this problem, as attitudes can be collected in survey form around the same time that interventions are introduced and are predictive of behavior. This can allow researchers to assess the potential efficacy of an intervention before devoting the time and energy to conduct a longitudinal analysis. In this paper, we develop and validate a scale to measure intentions to persist in computing, and demonstrate its use in predicting actual persistence as defined by enrolling in another computer science course within two semesters. We conduct two analyses to do this: First, we develop a computing persistence index and test whether our scale has high alpha reliability and whether our scale predicts actual persistence in computing using students' course enrollments. Second, we conduct analyses to reduce the number of items in the scale, to make the scale easy for others to include in their own research. This paper contributes to research on computing education by developing and validating a novel measure of intentions to persist in computing, which can be used by computer science educators to evaluate potential interventions. This paper also creates a short version of the index, to ease implementation.
登录
查看更多内容
使用 fsQCA 方法评估计算机科学教育中的学生行为
影响因子：
2.4
作者：
I. Pappas;M. Giannakos;M. L. Jaccheri;D. Sampson
通讯作者：
D. Sampson
计算机科学本科课程中的性别、成就和坚持
DOI：
--
发表时间：
2006
期刊：
DATB
影响因子：
--
作者：
Sandra Katz;D. Allbritton;J. M. Aronis;Christine Wilson;M. Soffa
通讯作者：
M. Soffa
通过轻量级可扩展的干预提高学生对计算机科学的坚持
DOI：
10.1145/3502718.3524815
发表时间：
2022
期刊：
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education
影响因子：
--
作者：
Akram, Bita;Fisk, Susan;Yoder, Spencer;Hunt, Cynthia;Price, Thomas;Battestilli, Lina;Barnes, Tiffany
通讯作者：
Barnes, Tiffany
通过减少对计算能力的性别自我评估来提高女性对计算机科学的坚持
DOI：
10.1145/3430665.3456374
发表时间：
2021
期刊：
Annual Conference on Innovation Technology in Computer Science Education
影响因子：
--
作者：
Fisk, Susan R.;Wingate, Tiah;Battestilli, Lina;Stolee, Kathryn T.
通讯作者：
Stolee, Kathryn T.
美国原住民本科生的坚持意图：心理社会文化的视角。
影响因子：
3.3
作者：
Mindi N. Thompson;M. Johnson;Rachel S. Nitzarim
通讯作者：
Rachel S. Nitzarim