Background The demand for engineers in the workforce continues to rise, which requires increased retention and degree completion at the undergraduate level. Engineering educators need to better understand opportunities to retain students in engineering majors. A strong sense of belonging in engineering represents one important contributor to persistence. However, research has not investigated how academic help-seeking behaviors relate to belonging and downstream outcomes, such as persistence in engineering. Interventions to support and develop belonging show promise in increasing student retention, with particularly positive influences on women, Black, Latino/a/x, and indigenous students. As part of a larger research project, a quasi-experimental intervention to develop a classroom ecology of belonging was conducted at a large Midwestern university in a required first-year, second semester engineering programming course. The 45-min intervention presented students with stories from past students and peers to normalize academic challenges within the ecology of the classroom as typical and surmountable with perseverance, time, and effort. Results With treatment (n = 737) and control (n = 689) participant responses, we investigated how the intervention condition affected students’ comfort with seeking academic help and feeling safe being wrong in class as influences on belonging. Using path analysis, a form of structural equation modeling, we measured the influence of these attitudinal variables on belonging and the influence of belonging beyond a student’s grade point average on enrollment as an engineering major the following fall. The path analysis supports the importance of academic help-seeking and feeling safe to be wrong for belonging, as well as the importance of belonging on continued enrollment. A group path analysis compared the treatment and control groups and demonstrated the positive impact of the intervention on enrollment for the treatment participants. Conclusions The analyses demonstrate the importance of academic help-seeking in students’ sense of belonging in the classroom with implications for identifying effective tools to improve students’ sense of belonging through supporting help-seeking behaviors
more »
« less
Gender and race/ethnicity differences in the predictors of course grade in a first‐year engineering course and continued enrollment in engineering
Engineering requires new solutions to improve undergraduate performance outcomes, including course grades and continued enrollment in engineering pathways. Belonging and engineering role identity have long been associated with successful outcomes in engineering, including academic success, retention, and well‐being. We measure the relationships between belonging and role identity at the beginning of a first‐year engineering course with course grade and continued enrollment in engineering courses. We test the effect of an ecological belonging intervention on student belonging, course grade, and persistence.Students reported their sense of belonging in engineering, cross‐racial experiences, engineering performance/competence, interest in engineering, and engineering recognition before and after an in‐class intervention to improve classroom belonging ecology. Through a series of longitudinal multigroup path analyses, a form of structural equation modeling, we tested the predictive relationships of the measured constructs with engineering identity and investigated differences in these relationships by student gender and race/ethnicity. The proposed model predicts course grades and continued enrollment, providing insight into the potential for interventions to support first‐year engineering students. Group analysis results demonstrate the difference in the function of these psychosocial measures for women and Black, Latino/a/x, and Indigenous (BLI) students, providing insights into the potential importance of sociocultural interventions within engineering classrooms to improve the engineering climate, engagement, and retention of students. ImplicationsThe results highlight the need for more specific, nuanced theoretical investigations of how marginalized students experience the engineering environment and develop social belonging and engineering role identity.
more »
« less
- PAR ID:
- 10634792
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Journal of Engineering Education
- Volume:
- 114
- Issue:
- 3
- ISSN:
- 1069-4730
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Engineering requires more bachelor’s degree graduates to meet the growing demand for engineering skills globally. One way to address this demand is increasing student degree completion, which is lower than higher education in general. In particular, Black, Latino/a/x, and Indigenous (BLI) students are less likely to complete an engineering degree than their peers. BLI students experience a host of unwelcoming behaviors in engineering environments that contribute to departure without their intended degree. Improving environments to support belonging may offer one solution. Through an ecological belonging intervention, we seek to improve continued enrollment and increase belonging. Quasi-experimental methods were used in a second-semester engineering programming course. Surveys collected before and after an intervention combined with institutional data were used to test the moderation effects of the intervention on continued enrollment in engineering during the semester following the intervention. BLI students who were enrolled in intervention treatment sections were more likely to be enrolled in engineering the following fall. The intervention treatment increased belonging such that control section participants were less likely to continue to be enrolled in engineering. While research to assess the efficacy and mechanisms of the intervention is ongoing, the intervention offers promising results to address attrition, particularly for BLI students.more » « less
-
Intervention in the form of changing one's teaching style is beneficial for boosting student grades and retention. However, in spite of the availability of multiple intervention approaches, a key hindrance is reliance on the belief that students know how to study. We dedicated time and resources to not only teach the discipline of Computer Science, but also to teach students how to study using techniques grounded in psychology. We offered a one-credit "booster" course to students taking CS 2: Data Structures. Through direct advisor intervention based on the first exam grade, students were encouraged to take the booster course along with traditional interventions. We then tracked student growth across exams for the course as students were learning and being held accountable to study techniques not often emphasized in Computer Science. The students continued to increase their grades throughout the semester relative to the students who chose to not take the booster class. The students who were targeted for intervention but did not take the booster course continued to have lower grades throughout the semester, and only 41% of them passed the course. Students who participated in the booster course showed a 31% rate of growth across the semester, taking a failing grade to a passing grade, with 100% passing the course with a C or above. These results show a significant influence to help students succeed, which led to higher retention and increased grades. If we want students to truly succeed, we must teach them to study.more » « less
-
This project supports the success of undergraduate engineering students through coordinated design of curricula across STEM course sequences. The Analysis, Design, Development, Implementation, Evaluation (ADDIE) framework and backward design are being used to develop guides for instructors to align learning outcomes, assessments, and instructional materials in a physics – engineering mechanics course sequence. The approach relies on the analysis of student learning outcomes in each course, identification of interdependent learning outcomes, and development of skills hierarchies in the form of visual learning maps. The learning maps are used to illustrate the knowledge required and built upon throughout the course sequence. This study will assess the effectiveness of a course redesign intervention, which uses visual learning maps and backward design concepts, to guide instructors within a common course sequence to align learning outcomes and assessments. If successful, the intervention is expected to improve students’ primary learning and knowledge retention, as well as persistence and success in the degree. The study will compare academic performance among Mechanical Engineering B.S., Environmental Engineering B.S., and Civil Engineering B.S. students who begin a Physics for Engineers – Statics – Dynamics course prior to the intervention (control) and after the intervention (treatment). During control and treatment terms, students’ primary learning in individual courses will be assessed using established concept inventories. Retention of knowledge from pre-requisite courses will be tracked using pre-identified problem sets (quizzes, exams) specifically associated with interdependent learning outcomes in the Statics and Dynamics courses. Students’ primary learning and knowledge retention in the sequence will be related to longer term student success outcomes, including retention and graduation. The poster will show the results of the research team’s first year of work, including an analysis of current course materials, learning maps for each course, identification of interdependent learning outcomes, example guiding materials and templates for instructors, and preliminary student performance data from the control cohort.more » « less
-
This study examines engineering identity, sense of belonging, and career commitment as predictors of academic performance and persistence among early-career engineering majors. Students enrolled in introductory engineering courses at a four-year Hispanic-Serving Institution in the U.S. Southwest were surveyed, and their responses were later linked to institutional records to obtain semester grade point average (GPA) and next-semester reenrollment outcomes. Our analyses showed that engineering identity significantly predicted higher GPA and greater odds of reenrollment. Specifically, a one-unit increase in engineering identity corresponded to a 46% increase in the odds of retention to the following semester. Sense of belonging and career commitment were strongly correlated with identity but did not independently predict GPA or persistence, and career commitment did not mediate identity effects. Our findings emphasize identity as a key early predictor of achievement and retention in engineering, and highlight the importance of identity-supportive interventions, particularly for first-generation students, in improving performance and retention.more » « less
An official website of the United States government

