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

Author(s):  
Jennifer Louten

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.

2018 ◽  
Vol 19 (4) ◽  
pp. 437-451 ◽  
Author(s):  
Blanca E. Rincón

Using student-level data, this study explores the relationship between Latinx student representation in science, technology, engineering and mathematics (STEM) and student retention. Results revealed that a 1% increase in cohort-level Latinx student representation in STEM subfields is associated with a decrease in student departures from the university, but not STEM. Furthermore, Latinx STEM students may be more responsive to changes in the representation of their cohorts compared with increases in diversity for upper-division undergraduate or graduate students.


2021 ◽  
Vol 11 (4) ◽  
pp. 173
Author(s):  
María-José Arévalo ◽  
María Asun Cantera ◽  
Vanessa García-Marina ◽  
Marian Alves-Castro

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.


2020 ◽  
Vol 16 (2) ◽  
pp. 131
Author(s):  
Teoh Sian Hoon ◽  
Parmjit Singh Aperar Singh ◽  
Cheong Tau Han ◽  
Nurul Akmal Md Nasir ◽  
Nor Syazwani Mohd Rasid ◽  
...  

This study was conducted to assess the students’ level of abilities in solving algebraic word problems which is a main component in Science, Technology, Engineering and Mathematics (STEM). It also aims to determine the students’ difficulties in solving these problems by using Newman’s Model of Error Analysis (NMEA). Furthermore, this study was conducted to investigate the attitudes of undergraduate students towards STEM and its relationship to the achievement of the test. The instruments are a test on algebraic problems and a set of questionnaire on attitudes towards STEM. The test which was validated by an expert from a university was adopted and adapted from a problem solving source. The test contained questions from one of the main areas of algebra which focused on two parts namely algebraic knowledge (AK) and algebraic knowledge in the context of science (AKCS).  There were a total of 63 undergraduate mathematics education students who took part in this study. This study was carried out using the mixed-methods qualitative approach. The result showed that the majority of the students have a low level of algebraic knowledge as well as algebraic knowledge in the context of science. For the attitude towards STEM, findings displayed that the majority of the students were interested and gave positive attitude towards STEM. Keywords: algebraic knowledge (AK), algebraic knowledge in the context of science (AKCS), Newman’s Model of Error Analysis (NMEA), attitudes towards STEM


2019 ◽  
Vol 116 (6) ◽  
pp. 1865-1869 ◽  
Author(s):  
David Skorton

The nature of work is changing rapidly in the digital age, increasing the demand for skills in specific disciplines. Across the United States and beyond, this evolution has led to an increased emphasis on science, technology, engineering, and mathematics (STEM) education at every level. Meanwhile, at US institutions of higher education, the proportion of undergraduate students who earn a degree in the humanities is declining. However, while the public discussion often pits the disciplines against one another, the sciences, arts, and humanities are—as Albert Einstein once wrote—“branches of the same tree” [(2006)The Einstein Reader]. They are mutually reinforcing. Therefore, the best way to prepare the next generation for the future of work, life, and citizenship is to provide broad, holistic educational experiences that integrate the STEM disciplines with the arts and humanities. A new study from the Board on Higher Education and Workforce of the National Academies of Sciences, Engineering, and Medicine bolsters the case for such an approach, finding considerable evidence that the mutual integration of disciplines leads to improved educational and career outcomes for undergraduate and graduate students.


2021 ◽  
Vol 20 (3) ◽  
pp. ar48
Author(s):  
Austin L. Zuckerman ◽  
Stanley M. Lo

Successful transitions from community colleges to the university setting are essential for increasing the number of transfer students who complete science, technology, engineering, and mathematics (STEM) degree programs. In this study, Holland’s framework of figured worlds was used to examine how transfer students pursuing STEM negotiated their identities in their transition to the university.


Author(s):  
Glen R. Loppnow ◽  
Patrick Kamau ◽  
Elizabeth Vergis

Science, technology, engineering, and mathematics (STEM) students have, for generations, chosen university Bachelor of Science (B. Sc.) programs for themselves with little or no information about what they may get out of those programs, except as implicitly communicated within the culture and curriculum. However, in Canada, B. Sc. programs typically must explicitly state their program outcomes, at least in their initial submission to their respective provincial ministries of post-secondary education. We undertook a survey of all Canadian institutions’ B. Sc. programs in chemistry to provide a national snapshot of the values and priorities encompassed in institutional delivery of these programs. Our results show a definite preference for knowledge over other learning domains, particularly in translational skills, chemistry, science and the laboratory. Alignment with provincial degree-level expectations, mostly standardized across Canada, is discussed as well.


Author(s):  
Monika Szczygieł

Abstract. The measurement of math anxiety in adults is justified based on observations that math anxiety in parents and teachers predicts children’s math anxiety and achievement. Although there are many very good math anxiety measures intended for children and adolescents, their usefulness (e.g., AMAS, MARS) for adults is debatable. The most important objection against using these scales for adults is their ecological validity. The measurement of anxiety associated with math tests, classes, teachers, and homework is adequate for students of science, technology, engineering, and mathematics (STEM), but not for students of social sciences and humanities (HS) and non-students (e.g., parents and preschool and early education teachers). In response to this gap, the Math Anxiety Questionnaire for Adults (MAQA) was developed; it is designed to measure math anxiety related to math problem-solving in various groups of adults (especially non-students and HS students, as well as STEM students). The content, construct, criterion, and ecological validity of the MAQA were tested, and its internal and test-retest reliability was established. The results confirm that the MAQA is a valid and reliable measurement of math anxiety; therefore, it may be recommended for use in various groups of adults (e.g., students, teachers, and parents).


2022 ◽  
pp. 109821402110416
Author(s):  
Caitlin Howley ◽  
Johnavae Campbell ◽  
Kimberly Cowley ◽  
Kimberly Cook

In this article, we reflect on our experience applying a framework for evaluating systems change to an evaluation of a statewide West Virginia alliance funded by the National Science Foundation (NSF) to improve the early persistence of rural, first-generation, and other underrepresented minority science, technology, engineering, and mathematics (STEM) students in their programs of study. We begin with a description of the project and then discuss the two pillars around which we have built our evaluation of this project. Next, we present the challenge we confronted (despite the utility of our two pillars) in identifying and analyzing systems change, as well as the literature we consulted as we considered how to address this difficulty. Finally, we describe the framework we applied and examine how it helped us and where we still faced quandaries. Ultimately, this reflection serves two key purposes: 1) to consider a few of the challenges of measuring changes in systems and 2) to discuss our experience applying one framework to address these issues.


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