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1. Learning Map Framework to Align Instruction and Improve Student Learning in a Physics-Engineering Mechanics Course Sequence

   Giles, Courtney D; Medsker, L R; Seneviratne, V A; Wijesinghe, P (August 2024, ASEE Peer)

   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. 

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2. On Track or Off Track? Identifying a Typology of Math Course-Taking Sequences in U.S. High Schools

   https://doi.org/10.1177/23780231231169259  

   Han, Seong Won; Kang, Chungseo; Weis, Lois; Dominguez, Rachel (January 2023, 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. 

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3. From Resistance to Readiness – Building Capacity to Pilot and Scale Co-requisite Calculus for First-Year Engineering Gateway Courses

   https://doi.org/10.18260/1-2--46866  

   Olsen, Darlene; Supan, Karen; Johnson, Liz (June 2024, Gardening outdoor living)

   Norwich University, the oldest Senior Military College in the nation and the first private U.S. institution to teach engineering, has a residential program for approximately 2,100 primarily undergraduate students in both the Corps of Cadets and civilian lifestyles. Norwich secured a National Science Foundation S-STEM award in the beginning of 2020 to develop a program to attract and retain highly talented, low-income students in STEM. One of the aims of the project was to support students who enter college with less experience in mathematics as these students were significantly less likely to graduate with a STEM degree. In the fall of 2020, as a result of the S-STEM award, the mathematics department offered a pilot corequisite calculus course to STEM majors requiring calculus their first semester but placed into precalculus by the mathematics departmental placement test. The corequisite calculus course includes content from precalculus into a one semester calculus course that meets daily for 6 contact hours rather than a standard 4 credit hour calculus course. The Norwich University Civil, Electrical and Computer, and Mechanical Engineering programs are accredited by the Engineering Accreditation Commission of ABET, placing restrictions on the 8-semester engineering degree pathway. The added credits to the first semester corequisite calculus course fit the constraints of the first semester engineering course load and this course has enabled engineering students that place into precalculus to complete an on-time degree plan without taking summer courses. The corequisite course has been approved by the university curriculum committee and is a regular offering at the institution. The initial offering of the corequisite course occurred during the COVID pandemic necessitating the use of additional instructional technology. There was also an increase in low stakes assessments to encourage students to engage in the material. The added credits also increased the regularity of student interacting with calculus. Since the implementation of this pilot course, there have been several similar changes in other courses required by engineering majors. The pilot corequisite course has become institutionalized and even is now scaling, with the engineering department requesting the course to be offered each semester to benefit students who are out of sync with the intended curriculum pathway. This project examines how the corequisite calculus course may have influenced changes in the general education courses and engineering first year sequence. Outcome harvesting as well as process tracing are used to determine the strength of evidence linking the corequisite course to institutional change. Qualitative and quantitative data will be examined as well to understand how the S-STEM award contributed to breakdown of the resistance to curriculum change and the readiness to implement and scale corequisite courses in other areas. It is important to understand the mechanisms used for building capacity at the institution to transform STEM education in higher education 

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4. Impacts Resulting from a Large-Scale First-Year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree Completion

   Ragusa, Gisele; Allen, Emily L.; Menezes, Gustavo B. (June 2020, ASEE Annual Conference Proceedings 2020)

   There is a critical need for more students with engineering and computer science majors to enter into, persist in, and graduate from four-year postsecondary institutions. Increasing the diversity of the workforce by inclusive practices in engineering and science is also a profound identified need. According to national statistics, the largest groups of underrepresented minority students in engineering and science attend U.S. public higher education institutions. Most often, a large proportion of these students come to colleges and universities with unique challenges and needs, and are more likely to be first in their family to attend college. In response to these needs, engineering education researchers and practitioners have developed, implemented and assessed interventions to provide support and help students succeed in college, particularly in their first year. These interventions typically target relatively small cohorts of students and can be managed by a small number of faculty and staff. In this paper, we report on “work in progress” research in a large-scale, first-year engineering and computer science intervention program at a public, comprehensive university using multivariate comparative statistical approaches. Large-scale intervention programs are especially relevant to minority serving institutions that prepare growing numbers of students who are first in their family to attend college and who are also under-resourced, financially. These students most often encounter academic difficulties and come to higher education with challenging experiences and backgrounds. Our studied first-year intervention program, first piloted in 2015, is now in its 5th year of implementation. Its intervention components include: (a) first-year block schedules, (b) project-based introductory engineering and computer science courses, (c) an introduction to mechanics course, which provides students with the foundation needed to succeed in a traditional physics sequence, and (d) peer-led supplemental instruction workshops for calculus, physics and chemistry courses. This intervention study responds to three research questions: (1) What role does the first-year intervention’s components play in students’ persistence in engineering and computer science majors across undergraduate program years? (2) What role do particular pedagogical and cocurricular support structures play in students’ successes? And (3) What role do various student socio-demographic and experiential factors play in the effectiveness of first-year interventions? To address these research questions and therefore determine the formative impact of the firstyear engineering and computer science program on which we are conducting research, we have collected diverse student data including grade point averages, concept inventory scores, and data from a multi-dimensional questionnaire that measures students’ use of support practices across their four to five years in their degree program, and diverse background information necessary to determine the impact of such factors on students’ persistence to degree. Background data includes students’ experiences prior to enrolling in college, their socio-demographic characteristics, and their college social capital throughout their higher education experience. For this research, we compared students who were enrolled in the first-year intervention program to those who were not enrolled in the first-year intervention. We have engaged in cross-sectional 2 data collection from students’ freshman through senior years and employed multivariate statistical analytical techniques on the collected student data. Results of these analyses were interesting and diverse. Generally, in terms of backgrounds, our research indicates that students’ parental education is positively related to their success in engineering and computer science across program years. Likewise, longitudinally (across program years), students’ college social capital predicted their academic success and persistence to degree. With regard to the study’s comparative research of the first-year intervention, our results indicate that students who were enrolled in the first-year intervention program as freshmen continued to use more support practices to assist them in academic success across their degree matriculation compared to students who were not in the first-year program. This suggests that the students continued to recognize the value of such supports as a consequence of having supports required as first-year students. In terms of students’ understanding of scientific or engineering-focused concepts, we found significant impact resulting from student support practices that were academically focused. We also found that enrolling in the first-year intervention was a significant predictor of the time that students spent preparing for classes and ultimately their grade point average, especially in STEM subjects across students’ years in college. In summary, we found that the studied first-year intervention program has longitudinal, positive impacts on students’ success as they navigate through their undergraduate experiences toward engineering and computer science degrees. 

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5. Changing Classroom Ecology to Support Continued Engineering Enrollment

   https://doi.org/10.3390/higheredu3020025  

   Bahnson, Matthew; McChesney, Eric T; DeAngelo, Linda; Godwin, Allison (June 2024, Trends in Higher Education)

   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. 

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