CHI TIẾT NGHIÊN CỨU …
Tiêu đề
The influences of student- and school-level factors on engineering undergraduate student success outcomes: A multi-level multi-school study
Tác giả
Wang X.; Dai M.; Mathis R.
Năm xuất bản
2022
Source title
International Journal of STEM Education
Số trích dẫn
0
DOI
10.1186/s40594-022-00338-y
Liên kết
Tóm tắt
Background: Given the relatively low graduation and retention rate in undergraduate engineering programs in the United States, the factors that influence student success outcomes need to be examined. However, limited research systematically studied both student- and school-level factors and how they influenced undergraduate engineering student success outcomes. We gathered responses from 458 engineering undergraduate students in a cross-sectional multilevel multi-school (14 schools) survey. These 14 schools included both large state universities and liberal arts colleges. The survey measured various student-level factors, including demographic, skills, and personality variables, along with seven school-level factors, such as student–faculty ratio and school type (i.e., public versus private). The data were analyzed using the hierarchical multilevel modeling approach. Results: The results showed that female students reported better outcomes than male students, racial minority students reported better outcomes than White students, but first-generation students reported poorer outcomes. Communication competency was associated with student learning outcomes, GPA, and program satisfaction, whereas conflict management preferences were not significantly correlated with any student success outcomes. The results of the school-level factors’ influences on student success outcomes were not consistent, but some factors, such as student–faculty ratios and diversity rate, were significantly related to some student outcomes. Conclusion: Engineering education is a complex, multi-faceted issue that requires more collaborative and systematic research. We hope our findings help educators understand the different factors that could potentially influence engineering students and inform better program design and policymaking. © 2022, The Author(s).
Từ khóa
Multilevel analysis; School-level factors; Student success; Student-level factors; Undergraduate engineering education
Tài liệu tham khảo
Data snapshot: Contingent faculty in U.S. higher ed, (2018); Atkins K., Dougan B.M., Dromgold-Sermen M.S., Potter H., Sathy V., Panter A.T., Looking at Myself in the Future”: How mentoring shapes scientific identity for STEM students from underrepresented groups, International Journal of STEM Education, 7, 1, (2020); Bean J., Eaton S.B., The psychology underlying successful retention practices, Journal of College Student Retention: Research, Theory and Practice, 3, 1, pp. 73-89, (2001); Bossart J., Bharti N., Women in engineering: Insight into why some engineering departments have more success in recruiting and graduating women, American Journal of Engineering Education., 8, 2, pp. 127-140, (2017); Exploring gender and self-confidence in engineering students: A multi-method approach. In Center for the Advancement of Engineering Education (NJ1), Center for the Advancement of Engineering Education., (2009); Chang W.L., Lee C.Y., Virtual team e-leadership: The effects of leadership style and conflict management mode on the online learning performance of students in a business-planning course, British Journal of Educational Technology, 44, 6, pp. 986-999, (2013); Fletcher T.L., Jefferson J.P., Boyd B.N., Cross K.J., Missed opportunity for diversity in engineering: Black women and undergraduate engineering degree attainment, Journal of College Student Retention: Research, Theory and Practice, (2021); Foor C.E., Walden S.E., Trytten D.A., I wish that I belonged more in this whole engineering group: Achieving individual diversity, Journal of Engineering Education, 96, 2, pp. 103-115, (2007); French B.F., Immekus J.C., Oakes W.C., An examination of indicators of engineering students’ success and persistence, Journal of Engineering Education, 94, 4, pp. 419-425, (2005); Geiger R.L., Knowledge and money: Research universities and the paradox of the marketplace, (2004); Geisinger B.N., Raman D.R., Why they leave: Understanding student attrition from engineering majors, International Journal of Engineering Education, 29, 4, pp. 914-925, (2013); Goldman A.M., Interpreting rural students’ stories of access to a flagship university, The Rural Educator, 40, 1, (2019); Funds of knowledge: Theorizing practices in households, communities, and classrooms, ISBN: 978-0805849189, (2006); Hu S., Kuh G.D., Being (Dis) engaged in educationally purposeful activities: The influences of student and institutional characteristics, Research in Higher Education, 43, 5, pp. 555-575, (2002); Hussain W., Spady W., Khan S., Khawaja B., Naqash T., Conner L., Impact evaluations of engineering programs using ABET student outcomes, IEEE Access, pp. 1-9, (2021); Jang M., Vorderstrasse A., Socioeconomic status and racial or ethnic differences in participation: Web-based survey, JMIR Research Protocols, 8, 4, (2019); Koshland C.P., Liberal arts and engineering, Holistic engineering education, pp. 53-67, (2010); Kuh G.D., Kinzie J.L., Buckley J.A., Bridges B.K., Hayek J.C., What matters to student success: A review of the literature. In commissioned report for the national symposium on postsecondary student success, National Postsecondary Education Cooperative, (2006); Kuh G.D., Siegel M.J., College student experiences questionnaire: Tentative norms for the, (2000); Engineering student retention and attrition literature review, Proceedings of the Canadian Engineering Education Association. Canadian Engineering Education Association.; Liu X., Magjuka R.J., Lee S.H., The effects of cognitive thinking styles, trust, conflict management on online students’ learning and virtual team performance, British Journal of Educational Technology, 39, 5, pp. 829-846, (2008); Ma V.J., Ma X., A comparative analysis of the relationship between learning styles and mathematics performance, International Journal of STEM Education, 1, 1, (2014); Ma X., Klinger D.A., Hierarchical linear modeling of student and school effects on academic achievement, Canadian Journal of Education, 25, 1, pp. 41-55, (2000); Marbouti F., Ulas J., Wang C.H., Academic and demographic cluster analysis of engineering student success, IEEE Transactions on Education, 64, 3, pp. 261-266, (2021); Marra R.M., Rodgers K.A., Shen D., Bogue B., Leaving engineering: A multi-year single institution study, Journal of Engineering Education, 101, 1, pp. 6-27, (2012); Martin J.P., Stefl S.K., Cain L.W., Pfirman A.L., Understanding first-generation undergraduate engineering students’ entry and persistence through social capital theory, International Journal of STEM Education, 7, 1, (2020); McCroskey J.C., McCroskey L.L., Self-perceived communication competence scale (SPCC), Communication Research Reports, 5, pp. 108-133, (1988); Montoya-Weiss M.M., Massey A.P., Song M., Getting it together: Temporal coordination and conflict management in global virtual teams, Academy of Management Journal, 44, 6, pp. 1251-1262, (2001); Morales D.X., Grineski S.E., Collins T.W., Effects of mentoring relationship heterogeneity on student outcomes in summer undergraduate research, Studies in Higher Education, 46, 3, pp. 423-436, (2021); Paul R., Cowe Falls L.G., Engineering leadership education: A review of best practices, Proceedings of the American Society for Engineering Education Annual Conference & Exposition, pp. 1-11, (2015); Paul S., Samarah I.M., Seetharaman P., Mykytyn P.P., An empirical investigation of collaborative conflict management style in group support system-based global virtual teams, Journal of Management Information Systems, 21, 3, pp. 185-222, (2004); Pike G.R., Kuh G.D., First-and second-generation college students: A comparison of their engagement and intellectual development, The Journal of Higher Education, 76, 3, pp. 276-300, (2005); Pike G.R., Kuh G.D., Gonyea R.M., The relationship between institutional mission and students’ involvement and educational outcomes, Research in Higher Education, 44, 2, pp. 241-261, (2003); Puccia E., Martin J.P., Smith C.A.S., Kersaint G., Campbell-Montalvo R., Wao H., Lee R., Skvoretz J., MacDonald G., The influence of expressive and instrumental social capital from parents on women and underrepresented minority students’ declaration and persistence in engineering majors, International Journal of STEM Education, 8, 1, (2021); Pusser B., Beyond Baldridge: Extending the political model of higher education organization and governance, Educational Policy, 17, 1, pp. 121-140, (2003); Raudenbush S.W., Bryk A.S., Hierarchical linear models: Applications and data analysis methods, 1, (2002); Ro H.K., Knight D.B., Gender differences in learning outcomes from the college experiences of engineering students, Journal of Engineering Education, 105, 3, pp. 478-507, (2016); Roy J., Engineering by the numbers, (2019); Sageev P., Romanowski C.J., A message from recent engineering graduates in the workplace: Results of a survey on technical communication skills, Journal of Engineering Education, 90, 4, pp. 685-693, (2001); Shin J.C., Milton S., Student response to tuition increase by academic majors: Empirical grounds for a cost-related tuition policy, Higher Education, 55, 6, pp. 719-734, (2008); Smith J.M., Lucena J.C., Invisible innovators: How low-income, first-generation students use their funds of knowledge to belong in engineering, Engineering Studies, 8, 1, pp. 1-26, (2016); Subri U.S., A review of job challenges factors for women engineer, International Journal of Academic Research in Business and Social Sciences, 8, 9, pp. 1450-1455, (2018); Tenopir C., King D.W., Communication Patterns of Engineers, (2004); Terenzini P., Reason R., Parsing the first year of college year 3 progress report, (2008); Moving from theory to action: Building a model of institutional action for student success, National Postsecondary Education Cooperative., (2006); Tinto V., Leaving college: Rethinking the Causes and Cures of Student Attrition, (1987); Titus M.A., An examination of the influence of institutional context on student persistence at 4-year colleges and universities: A multilevel approach, Research in Higher Education, 45, 7, pp. 673-699, (2004); Van den Beemt A., MacLeod M., Van der Veen J., Van de Ven A., van Baalen S., Klaassen R., Boon M., Interdisciplinary engineering education: A review of vision, teaching, and support, Journal of Engineering Education, 109, 3, pp. 508-555, (2020); Van den Bogaard M., Explaining student success in engineering education at Delft University of Technology: A literature synthesis, European Journal of Engineering Education, 37, 1, pp. 59-82, (2012); Vogt C.M., Faculty as a critical juncture in student retention and performance in engineering programs, Journal of Engineering Education, 97, 1, pp. 27-36, (2008); Wilkins K.G., Bernstein B.L., Bekki J.M., Measuring communication skills: The STEM interpersonal communication skills assessment battery, Journal of Engineering Education, 104, 4, pp. 433-453, (2015); Wolfe J., Powell E.A., Schlisserman S., Kirshon A., Teamwork in engineering undergraduate classes: What problems do students experience, ? ASEE Annual Conference and Exposition., (2016); Wolniak G., George C., Nelson G., The emerging differential tuition era among U.S. public Universite, In under Pressure, pp. 191-214, (2018); Yeke S., Semercioz F., Relationships between personality traits, cultural intelligence and intercultural communication competence, Procedia-Social and Behavioral Sciences, 235, pp. 313-319, (2016); Zaniewski A.M., Reinholz D., Increasing STEM success: A near-peer mentoring program in the physical sciences, International Journal of STEM Education, 3, 1, (2016)
Nơi xuất bản
Springer Science and Business Media Deutschland GmbH
Hình thức xuất bản
Article
Open Access
All Open Access; Gold Open Access
Nguồn
Scopus