Evaluating Student Participation in Undergraduate Information Technology Programs in the U.S.

Mihaela Sabin, S. Zweben, B. Lunt, R. Raj
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引用次数: 1

Abstract

Enrollment, retention, and graduation rates of undergraduate students in Information Technology (IT) programs are useful measures of institutional performance. Disaggregated by demographics characteristics, such as gender, race, and ethnicity, analysis of student data across IT programs in the U.S. supports the exploration of the breadth and diversity of student participation in IT. Evaluating undergraduate IT programs is particularly challenging for multiple factors, including: IT programs are not always titled "Information Technology"; IT programs are not always ABET-accredited; and IT programs may be housed in various academic units, such as business, computing, engineering, technology, or information sciences. This paper builds on prior work used to identify IT programs in the U.S., including the National Center for Education Statistics' Classification of Instructional Programs (CIP) codes, specifically CIP code 11 that designates IT and other computing programs. It also refines CIP code-based program identification and then analyzes 2017-2018 student data from the National Student Clearinghouse Research Center to evaluate IT programs through a student participation lens. The in-depth analysis of student enrollment, retention, and graduation is intended to support IT programs with designing more inclusive learning environments that increase participation of all students, in particular women and racial and ethnic minority students. This paper finally signals the importance of CIP codes that designate IT programs and focuses attention to the role that faculty, IT programs, and SIGITE community at large need to have in CIP code selection to further advance research in IT education.
评估学生在美国本科信息技术课程的参与
信息技术(IT)专业本科生的入学、留校和毕业率是衡量机构绩效的有用指标。根据人口统计特征,如性别、种族和民族,对美国IT项目的学生数据进行分析,有助于探索学生参与IT的广度和多样性。由于多种因素,评估本科IT专业尤其具有挑战性,包括:IT专业并不总是被称为“信息技术”;IT课程并不总是通过abet认证;和IT程序可以安置在不同的学术单位,如商业,计算机,工程,技术,或信息科学。本文建立在先前用于识别美国IT项目的工作的基础上,包括国家教育统计中心的教学项目分类(CIP)代码,特别是指定IT和其他计算项目的CIP代码11。它还改进了基于CIP代码的项目识别,然后分析了来自国家学生信息中心研究中心的2017-2018年学生数据,通过学生参与的角度来评估It项目。对学生入学、留校和毕业情况的深入分析旨在为IT项目提供支持,设计更具包容性的学习环境,提高所有学生的参与度,尤其是女性和少数族裔学生。本文最后指出了指定IT项目的CIP代码的重要性,并将注意力集中在教师、IT项目和SIGITE社区在CIP代码选择中需要发挥的作用,以进一步推进IT教育的研究。
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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