A House Divided? Examining Persistence for On-Campus STEM and Non-STEM Students

2015 ◽  
Vol 19 (2) ◽  
pp. 199-223 ◽  
Author(s):  
Ann M. Gansemer-Topf ◽  
Aurelia Kollasch ◽  
Jie Sun
Keyword(s):  
Student Persistence ◽  
First Year ◽  
Residential Students ◽  
University Housing ◽  
Student Transition ◽  
Campus Housing ◽  
National Educational Policy ◽  
Stem Students ◽  
Transition Study ◽  
And Mathematics

Improving student persistence, especially in science, technology, engineering, and mathematics (STEM) fields, continues to be at the forefront of national educational policy discussions. Living in university housing, with its focus specifically on assisting students in transition, has consistently been positively related to student persistence. Using institutional data and data from a first-year student transition study from all the first-year first-time residential students from Fall 2008 through Fall 2012 ( N = 17,850), this study examined the relationship between student characteristics and experiences and retention for STEM and non-STEM students who live in on-campus housing. Results illustrate that experiences that contribute to retention differ between STEM and non-STEM students. Noncognitive factors related to academic self-efficacy, academic adjustment, and degree aspiration positively affect residential students’ persistence in STEM. Academic performance was a significant factor in institutional persistence for STEM and non-STEM students. Implications for future and practice are discussed.

Peer Coaching Program Development: A Framework of First-Year Latina/o Student Persistence Pursuing STEM Pathways at a Hispanic Serving Institution

2019 ◽  
pp. 153819271986709
Author(s):  
Carmen Cruz ◽  
Geetu Rajpal ◽  
Michael Lecocke ◽  
Ian Martines ◽  
Anna Lurie
Keyword(s):  
Academic Success ◽  
Student Persistence ◽  
Peer Coaching ◽  
South Texas ◽  
First Year ◽  
Hispanic Serving Institution ◽  
Science Technology ◽  
Stem Students ◽  
And Mathematics ◽  
Hispanic Serving

This study developed and examined the implementation of an intrusive peer-to-peer coaching program model at a private 4-year master’s degree granting Hispanic Serving Institution (HSI) located in South Texas. The coaching program provided support and promoted increased persistence among Latina/o students entering first-year science, technology, engineering, and mathematics (STEM). Findings positively indicated that first-year Latina/o STEM students can achieve academic success in college when they are matched and supported by culturally similar upperclassmen peer coaches.

scholarly journals Improving Underrepresented Minority Student Persistence in STEM

2016 ◽  
Vol 15 (3) ◽  
pp. es5 ◽  
Author(s):  
Mica Estrada ◽  
Myra Burnett ◽  
Andrew G. Campbell ◽  
Patricia B. Campbell ◽  
Wilfred F. Denetclaw ◽  
...  
Keyword(s):  
Student Persistence ◽  
Minority Student ◽  
Howard Hughes Medical Institute ◽  
Current Data ◽  
Medical Institute ◽  
Underrepresented Minority ◽  
Stem Students ◽  
And Mathematics ◽  
The Impact ◽  
Persistence In Stem

Members of the Joint Working Group on Improving Underrepresented Minorities (URMs) Persistence in Science, Technology, Engineering, and Mathematics (STEM)—convened by the National Institute of General Medical Sciences and the Howard Hughes Medical Institute—review current data and propose deliberation about why the academic “pathways” leak more for URM than white or Asian STEM students. They suggest expanding to include a stronger focus on the institutional barriers that need to be removed and the types of interventions that “lift” students’ interests, commitment, and ability to persist in STEM fields. Using Kurt Lewin’s planned approach to change, the committee describes five recommendations to increase URM persistence in STEM at the undergraduate level. These recommendations capitalize on known successes, recognize the need for accountability, and are framed to facilitate greater progress in the future. The impact of these recommendations rests upon enacting the first recommendation: to track successes and failures at the institutional level and collect data that help explain the existing trends.

scholarly journals Nourishing STEM Student Success via a TEAM-Based Advisement Model

2017 ◽  
Vol 6 (6) ◽  
pp. 31 ◽  
Author(s):  
Bernard Polnariev ◽  
Reem Jaafar ◽  
Tonya Hendrix ◽  
Holly Porter Morgan ◽  
Praveen Khethavath ◽  
...  
Keyword(s):  
Community College ◽  
Student Success ◽  
Student Persistence ◽  
Public Institution ◽  
First Year ◽  
Promising Practices ◽  
Team Members ◽  
Staff Members ◽  
Supportive Culture ◽  
Stem Students

LaGuardia Community College is an international leader recognized for developing and successfully implementing initiatives and educating underserved diverse students. LaGuardia’s STEM students are holistically advised by a team of dedicated faculty and staff members from different departments and divisions. As an innovative approach to advisement, students are first connected to an advising team member in their discipline-based first-year seminar and consequently guided by other cross-institutional advisement team members to ensure their continued success. In this article, we share our policies, processes, and promising practices in advising STEM student at an urban public institution. We present arguments that address and support five pillars for student success: 1) the student matters, 2) supportive culture matters, 3) effective communication matters, 4) data matters, and, 5) clear pathways and effective advisement matters. Finally, we present empirical evidence that show positive results in terms of students’ retention. Specifically, there was an improvement in the actual Fall 2015 to 2016 return rate of STEM students, from 62.9% to 64.6%. Our scaled practice demonstrates the value of collaborative team-based advisement efforts as supported through professional development can improve community college STEM student persistence when the above five pillars are fully espoused by the institution. 

scholarly journals Bridging the gap: blending spatial skills instruction into a technology teacher preparation programme

2021 ◽  
Author(s):  
Diarmaid Lane ◽  
Sheryl Sorby
Keyword(s):  
Teacher Preparation ◽  
Gender Gap ◽  
Future Research ◽  
First Year ◽  
Spatial Skills ◽  
First Year Students ◽  
Base Level ◽  
Technology Teacher ◽  
And Mathematics ◽  
The Impact

AbstractIn recent years, there has been a surge in research in spatial thinking across the international community. We now know that spatial skills are malleable and that they are linked to success across multiple disciplines, most notably Science, Technology, Engineering and Mathematics (STEM). While spatial skills have been examined by cognitive scientists in laboratory environments for decades, current research is examining how these skills can be developed in field-based environments. In this paper, we present findings from a study within a Technology Teacher preparation programme where we examined first-year students’ spatial skills on entry to university. We explain why it was necessary to embed a spatial skills intervention into Year 1 of the programme and we describe the impact that this had on students’ spatial scores and on academic performance. The findings from our study highlight a consistent gender gap in spatial scores at the start of the first-year with female students entering the Technology Teacher preparation programme at a lower base level than male students. We describe how we integrated spatial development activities into an existing course and how an improvement in spatial scores and overall course performance was observed. The paper concludes by discussing the long-term sustainability of integrating spatial interventions within teacher preparation programmes while also highlighting the importance of future research to examine spatial skills as a fundamental component of technological capability.

scholarly journals Analysis of University STEM Students’ Mathematical, Linguistic, Rhetorical–Organizational Assignment Errors

2021 ◽  
Vol 11 (4) ◽  
pp. 173
Author(s):  
María-José Arévalo ◽  
María Asun Cantera ◽  
Vanessa García-Marina ◽  
Marian Alves-Castro
Keyword(s):  
Foreign Language ◽  
Mother Tongue ◽  
Writing Skills ◽  
Mathematics Students ◽  
Educational Design ◽  
Science Technology ◽  
Communicative Strategies ◽  
Precise Diagnosis ◽  
Stem Students ◽  
And Mathematics

Although Error Analysis (EA) has been broadly used in Foreign Language and Mother Tongue learning contexts, it has not been applied in the field of engineering and by STEM (Science, Technology, Engineering, and Mathematics) students in a systematic way. In this interdisciplinary pilot study, we applied the EA methodology to a wide corpus of exercises and essays written by third-year students of mechanical engineering, with the main purpose of achieving a precise diagnosis of the students’ strengths and weaknesses in writing skills. For the analysis to be as exhaustive as possible, the errors were typologized into three main categories (linguistic, mathematical, and rhetorical–organizational), each of which is, in turn, subdivided into 15 items. The results show that the predominant errors are rhetorical–organizational (39%) and linguistic (38%). The application of EA permits the precise identification of the areas of improvement and the subsequent implementation of an educational design that allows STEM students to improve their communicative strategies, especially those related to the writing skills and, more precisely, those having to do with the optimal use of syntax, punctuation, rhetorical structure of the text, and mathematical coherence.

scholarly journals An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses

Genus ◽  
2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Andrea Priulla ◽  
Nicoletta D’Angelo ◽  
Massimo Attanasio
Keyword(s):  
Gender Differences ◽  
Regression Models ◽  
First Year ◽  
Strongly Correlated ◽  
Segmented Regression ◽  
Freshmen Students ◽  
Female Performance ◽  
And Mathematics ◽  
The Relationship ◽  
Better Than

AbstractThis paper investigates gender differences in university performances in Science, Technology, Engineering and Mathematics (STEM) courses in Italy, proposing a novel application through the segmented regression models. The analysis concerns freshmen students enrolled at a 3-year STEM degree in Italian universities in the last decade, with a focus on the relationship between the number of university credits earned during the first year (a good predictor of the regularity of the career) and the probability of getting the bachelor degree within 4 years. Data is provided by the Italian Ministry of University and Research (MIUR). Our analysis confirms that first-year performance is strongly correlated to obtaining a degree within 4 years. Furthermore, our findings show that gender differences vary among STEM courses, in accordance with the care-oriented and technical-oriented dichotomy. Males outperform females in mathematics, physics, chemistry and computer science, while females are slightly better than males in biology. In engineering, female performance seems to follow the male stream. Finally, accounting for other important covariates regarding students, we point out the importance of high school background and students’ demographic characteristics.

scholarly journals “Looking at Myself in the Future”: how mentoring shapes scientific identity for STEM students from underrepresented groups

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Kaitlyn Atkins ◽  
Bryan M. Dougan ◽  
Michelle S. Dromgold-Sermen ◽  
Hannah Potter ◽  
Viji Sathy ◽  
...  
Keyword(s):  
Career Pathways ◽  
Underrepresented Minority ◽  
Stem Fields ◽  
Underrepresented Minority Students ◽  
Research Mentorship ◽  
Demographic Similarity ◽  
Stem Students ◽  
And Mathematics ◽  
Scientific Identity ◽  
The Relationship

Abstract Background Mentorship has been well-established in the literature as fostering scientific identity and career pathways for underrepresented minority students in science, technology, engineering, and mathematics (STEM) fields. Mentorship is prioritized by programs that aim to increase diversity and support future leadership in STEM fields, but in-depth understanding of mentorship in these contexts remains limited. Drawing on qualitative interview data, we sought to understand the relationship between mentoring and scientific identity among a diverse sample of 24 students in one such program, in order to inform program development. Results Qualitative analysis of the data revealed that mentorship, especially research mentorship, was common and played a role in formation of scientific identity. Students with research mentors tended to say they strongly identified as scientists, whereas those who lacked research mentorship varied in their level of scientific identity. In interviews, research-mentored students described mentors as colleagues who gave them opportunities to grow and as examples to look up to. Students valued mentors with whom they identified on the basis of demographic similarity or shared values, as well as those who challenged them in their academic and research endeavors. Conclusions Our analysis highlights how different mentoring experiences can contribute to development of future STEM leadership. We discuss implications for practice, including the need for tailored mentoring approaches and research-focused mentoring, and offer several recommendations for research and programming.

Fostering Persistence in Science, Technology, Engineering, and Mathematics (STEM): Creating an Equitable Environment That Addresses the Needs of Undergraduate Students

2022 ◽  
pp. 152102512110735
Author(s):  
Jennifer Louten
Keyword(s):  
Social Support ◽  
Student Retention ◽  
Undergraduate Students ◽  
Real World ◽  
Hispanic Students ◽  
Critical Issue ◽  
Degree Programs ◽  
Science Technology ◽  
Stem Students ◽  
And Mathematics

Student retention is a critical issue for universities, and nearly half of the students who start degree programs in science, technology, engineering, and mathematics (STEM) do not complete them. The current study tracks the progress of STEM students taking part in an entry-to-graduation program designed to build community, provide academic and social support, and promote engagement in academically purposeful activities. Although it had no effect on the number of students who changed their major, the program more than doubled the number of students who graduated in their original major. Black or Hispanic students taking part in the program also graduated at twice the rate of comparator students, largely attributable to the success of women in these groups. The results provide needed real-world insights into how to create an equitable environment that promotes the persistence and graduation of students, including those from groups historically underrepresented in STEM.

Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Academic Advising ◽  
Data Analytics ◽  
Predictive Analytics ◽  
First Year ◽  
Program Of Study ◽  
Science Technology ◽  
Mathematics Student ◽  
And Mathematics

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.

3D Printable Resources for Engaging STEM Students in Laboratory Learning Activities and Outreach Programs: Inexpensive and User-Friendly Instrument Kits for Educators

MRS Advances ◽  
2018 ◽  
Vol 3 (49) ◽  
pp. 2937-2942 ◽  
Author(s):  
Lon A. Porter
Keyword(s):  
3D Printing ◽  
Mathematics Learning ◽  
Digital Design ◽  
Outreach Programs ◽  
Stem Students ◽  
3D Printed ◽  
Design Software ◽  
And Performance ◽  
And Mathematics ◽  
User Friendly

ABSTRACTContinued advances in digital design software and 3D printing methods enable innovative approaches in the development of new educational tools for laboratory-based STEM (science, technology, engineering and mathematics) learning. The decreasing cost of 3D printing equipment and greater access provided by university fabrication centers afford unique opportunities for educators to transcend the limitations of conventional modes of student engagement with analytical instrumentation. This work shares successful efforts at Wabash College to integrate user-friendly and inexpensive 3D printed instruments kits into introductory STEM coursework. The laboratory kits and activities described provide new tools for engaging students in the exploration of instrument design and performance. These experiences provide effective ways to assist active-learners in discovering the technology and fundamental principles of analysis and deliberately confront the “black box” perception of instrumentation.

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