Title: Are Requirements Engineering Courses Covering what Industry Needs? A Preliminary Analysis of the United States Situation
In the United States, only few undergraduate curricula for computing-related field majors have an entire course dedicated to requirements engineering (RE). Usually, these are the bachelors of science in software engineering (BS SWE), while bachelors of science in computer science (BS CS) cover the topic during an overview course on software engineering, and dedicate only a couple of weeks to RE. Recent studies have shown that companies have specific demands for the competences that requirements engineers should have, and often such competences, such as analytical thinking and communication skills, are not sufficiently covered by RE textbooks and courses. However, no systematic analysis has been performed on the actual content of RE-related courses. In this paper, we survey what is taught in academia in RE-related courses. Our analysis is based on the data collected from more than 40 universities in the United States that offer a BS SWE. We show potential misalignments between what is offered by courses and industry needs, and we propose a research plan to further investigate this situation and to develop possible remedies for it. more »« less
Chow, Scott P.; Komarlu, Tanay; Conrad, Phillip T.
(, ITICSE 2021)
null
(Ed.)
Students’ experience with software testing in undergraduate computing courses is often relatively shallow, as compared to the importance of the topic. This experience report describes introducing industrial-strength testing into CMPSC 156, an upper division course in software engineering at UC Santa Barbara . We describe our efforts to modify our software engineering course to introduce rigorous test-coverage requirements into full-stack web development projects, requirements similar to those the authors had experienced in a professional software development setting. We present student feedback on the course and coverage metrics for the projects. We reflect on what about these changes worked (or didn’t), and provide suggestions for other instructors that would like to give their students a deeper experience with software testing in their software engineering courses.
Kittur, Javeed; Brunhaver, Samantha; Bekki, Jennifer; Lee, Eunsil
(, Research in Engineering Education Symposium & Australasian Association for Engineering Education Conference)
Online learning is increasing in both enrollment and importance within engineering education. Online courses also continue to confront comparatively higher course dropout levels than face-to-face courses. This research paper thus aims to better understand the factors that contribute to students’ choices to remain in or drop out of their online undergraduate engineering courses. Path analysis was used to examine the impact of course perceptions and individual characteristics on students’ course-level persistence intentions. Specifically, whether students' course perceptions influenced their persistence intentions directly or indirectly, through their expectancies of course success, was tested. Data for this study were collected from three ABET-accredited online undergraduate engineering programs at a large public university in the Southwestern United States: electrical engineering, engineering management, and software engineering. A total of 138 students participated in the study during the fall 2019 (n=85) and spring 2020 (n=53) semesters. Participants responded to surveys twice weekly during their 7.5-week online course. The survey asked students about their course perceptions related to instructor practices, peer support, and course difficulty level, their expectancies in completing the course, and their course persistence intentions. This work is part of a larger National Science Foundation-funded research project dedicated to studying online student course-level persistence based on both students' self-report data and course learning management system (LMS) activity. The survey sample was consistent with reports indicating that online learners tend to be more diverse than face-to-face learners. Findings from the path analysis revealed that students' perceptions of course LMS fit, perceived course difficulty, and expectancies of course success positively and significantly predicted persistence intentions, making them the most important influences. Expectancies of course success had a direct effect on persistence intentions. The findings underscore the need to elucidate further the mechanisms through which expectancies of success influence persistence.
Cervantes, Bianca; Passante, Gina; Wilcox, Bethany R.; Pollock, Steven J.
(, 2021 Physics Education Research Conference Proceedings)
Bennett, M.; Frank, B.; Vieyra, R.
(Ed.)
As the field of Quantum Information Science (QIS) continues to advance, there is an increased need for a quantum-smart workforce to address the needs of the growing quantum industry. As institutions begin to expand their course offerings, there is a unique opportunity for discipline-based education researchers to have an impact on the curricular and pedagogical choices being made in these courses. As a first step, it is necessary for education researchers to have a representative picture of what QIS education currently looks like. We reviewed recent course catalogues from a large sample of institutions in the United States looking for courses focused on QIS content. Our conservative analysis reveals that roughly a quarter of the institutions we reviewed offer QIS courses. While encouraging for such an emerging field, we found disparities in the types of institutions offering these courses as the vast majority were Doctoral-granting institutions. Additionally, we found that some classifications of minority serving institutions were much less likely to offer a QIS course (for example Historically Black Colleges and Universities or Predominantly Black Institutions), while Asian American and Native American Pacific Islander serving institutions were more likely than the national average to offer a QIS course. These disparities may lead to further racial, socioeconomic, and geographic disparity in the future quantum workforce. We also found that there was no single department that offered a majority of the QIS courses, indicating that the best efforts to improve QIS education will need to consider the multi-disciplinary nature of the field of quantum information science.
Han, Seong Won; Kang, Chungseo; Weis, Lois; Dominguez, Rachel
(, Socius: Sociological Research for a Dynamic World)
The authors examine students’ linear progression histories in mathematics throughout high school years, using the High School Longitudinal Study of 2009. Although scholars have attended to this before, the authors provide a new organizing framework for thousands of heterogenous mathematics course-taking sequences. Using cluster analysis, the authors identify eight distinctive course-taking sequence typologies. Approximately 45 percent of students take a linear sequence of mathematics, whereas others stop taking mathematics altogether, repeat coursework, or regress to lower level courses. Only about 14 percent of students take the expected four-year linear sequence of Algebra 1–Geometry–Algebra II–Advanced Mathematics. Membership into different typologies is related to student characteristics and school settings (e.g., race, socioeconomic status, and high school graduation requirements). The results provide a tool for schools’ self-assessment of mathematics course-taking histories among students, creating intervention opportunities and a foundation for future research on advancing our understanding of stratification in math course-taking patterns, postsecondary access, and science, technology, engineering, and mathematics majors.
Engineering design thinking has become an important part of the educational discussion for both researchers and practitioners. Colleges and universities seek to graduate engineering students who can engage in the complex nature of combining both technical performance with design thinking skills. Prior research has shown that design thinking can be a solution for solving complicated technical and social issues in a holistic, adaptive way. However, little is known about how students make sense of their design thinking experiences and reconcile that into their perceptions of what it means to be a successful engineer. As part of a five-year National Science Foundation REvolutionizing Engineering and Computer Science Departments (NSF-RED) grant, this study highlights the experiences of students engaged in a course which has been redesigned to enhance student development through design thinking pedagogy. This case study sought to understand how electrical, computer, and software engineering students engage with design thinking and how that engagement shapes their perceptions of what success looks like. The case study was informed through observations of lecture and lab classroom contexts, interviews with students, and a review of relevant course documents. Participants met the following criteria: (a) were over the age of 18, (b) majoring in CES engineering, and (c) were currently enrolled in one of two courses currently undergoing redesign: a second-year electrical engineering course called Circuits or a second-year computer engineering course called Embedded Systems. Preliminary findings reveal that students engaged in the design thinking course described a disconnect between design thinking elements of the course and their perceptions of what it meant to be a successful electrical, computer, or software engineer. Although design thinking concepts focused on empathy-building and customer needs, it was often difficult for engineering students to see beyond the technical content of their course and conceptualize elements of design thinking as essential to their successful performance as engineers. This study bears significance to practitioners and researchers interested in (re)designing curriculum to meet the growing needs of innovation for today’s customer’s. Implications for policy and practice will be discussed to enhance the way that engineering programs, curricula, and workforce training are created.
Hertz, Kim, and Spoletini, Paola. Are Requirements Engineering Courses Covering what Industry Needs? A Preliminary Analysis of the United States Situation. Retrieved from https://par.nsf.gov/biblio/10105609. 2018 IEEE 8th International Workshop on Requirements Engineering Education and Training (REET) . Web. doi:10.1109/REET.2018.00008.
Hertz, Kim, & Spoletini, Paola. Are Requirements Engineering Courses Covering what Industry Needs? A Preliminary Analysis of the United States Situation. 2018 IEEE 8th International Workshop on Requirements Engineering Education and Training (REET), (). Retrieved from https://par.nsf.gov/biblio/10105609. https://doi.org/10.1109/REET.2018.00008
Hertz, Kim, and Spoletini, Paola.
"Are Requirements Engineering Courses Covering what Industry Needs? A Preliminary Analysis of the United States Situation". 2018 IEEE 8th International Workshop on Requirements Engineering Education and Training (REET) (). Country unknown/Code not available. https://doi.org/10.1109/REET.2018.00008.https://par.nsf.gov/biblio/10105609.
@article{osti_10105609,
place = {Country unknown/Code not available},
title = {Are Requirements Engineering Courses Covering what Industry Needs? A Preliminary Analysis of the United States Situation},
url = {https://par.nsf.gov/biblio/10105609},
DOI = {10.1109/REET.2018.00008},
abstractNote = {In the United States, only few undergraduate curricula for computing-related field majors have an entire course dedicated to requirements engineering (RE). Usually, these are the bachelors of science in software engineering (BS SWE), while bachelors of science in computer science (BS CS) cover the topic during an overview course on software engineering, and dedicate only a couple of weeks to RE. Recent studies have shown that companies have specific demands for the competences that requirements engineers should have, and often such competences, such as analytical thinking and communication skills, are not sufficiently covered by RE textbooks and courses. However, no systematic analysis has been performed on the actual content of RE-related courses. In this paper, we survey what is taught in academia in RE-related courses. Our analysis is based on the data collected from more than 40 universities in the United States that offer a BS SWE. We show potential misalignments between what is offered by courses and industry needs, and we propose a research plan to further investigate this situation and to develop possible remedies for it.},
journal = {2018 IEEE 8th International Workshop on Requirements Engineering Education and Training (REET)},
author = {Hertz, Kim and Spoletini, Paola},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.