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1. Divergent thinking and academic performance of students with attention deficit hyperactivity disorder characteristics in engineering

   https://doi.org/10.1002/jee.20310  

   Taylor, Christa L. ; Esmaili Zaghi, Arash ; Kaufman, James C. ; Reis, Sally M. ; Renzulli, Joseph S. ( March 2020 , Journal of Engineering Education)

   Creativity is increasingly recognized as an important skill for success in the field of engineering, but most traditional, post‐secondary engineering education programs do not reward creative efforts. Failing to recognize creativity or creative efforts can have particularly negative effects for those students with attention deficit hyperactivity disorder (ADHD), who may exhibit enhanced divergent thinking ability yet struggle in the traditional educational environment.

   This study was conducted to investigate how ADHD characteristics, academic aptitude, and one important component of creativity (divergent thinking) contribute to academic performance in engineering programs and how traditional markers of academic performance and ADHD characteristics predict divergent thinking.

   Undergraduate engineering students (n= 60) completed measures of ADHD symptoms and divergent thinking. Scholastic Aptitude Test (SAT) scores and grade point average (GPA) were collected from university records, and hypotheses were tested using a series of multivariate regression models.

   Verbal SAT scores were the only positive predictor of overall GPA and engineering GPA. ADHD characteristics did not significantly predict overall GPA but negatively predicted engineering GPA. ADHD characteristics were the only positive predictor of divergent thinking ability.

   ADHD characteristics negatively predict academic performance (i.e., GPA) in engineering programs but are more predictive of divergent thinking ability than traditional markers of academic performance.

    

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2. The Nuanced Relationship Between Creative Cognition and the Interaction Between Executive Functioning and Intelligence

   https://doi.org/10.1002/jocb.493  

   Taylor, Christa L. ; Zaghi, Arash E. ( February 2021 , The Journal of Creative Behavior)

   The current study addresses gaps in our understanding of the relationship between creative cognition, intelligence (IQ), and executive functioning (EF). Undergraduate students completed an IQ test, verbal and figural divergent thinking (DT) tests, and a self‐assessment of EF, across four study sessions. Participant data (N = 199) were analyzed using linear regression and PROCESS moderation models. Results demonstrated that EF interacts with IQ to predict figural and verbal DT in distinct ways, with different patterns emerging from different methods of scoring DT. Using traditional DT scoring,Gf(but notGc) significantly moderated the relationship between EF and scores on both verbal and figural DT tasks. Low EF was associated with diminished DT scores for those with lowGfscores, unrelated for those with relatively higherGf, and enhanced scores for those with the highestGf. Using originality ratio scores, low EF was associated with diminished originality in verbal DT responses for those with low IQ (bothGfandGc), unrelated for those with relatively higher IQ, and enhanced originality for those with the highestGc(but notGf) scores. Thus, there are several nuances in the way that EF interacts with IQ to predict DT.

    

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3. 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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4. Increasing success in college: Examining the impact of a project‐based introductory engineering course

   https://doi.org/10.1002/jee.20319  

   Nguyen, Ha ; Wu, Lily ; Fischer, Christian ; Washington, Gregory ; Warschauer, Mark ( May 2020 , Journal of Engineering Education)

   Project‐based learning has shown promise in improving learning outcomes for diverse students. However, studies on its impacts have largely focused on the perceptions of students and instructors or students' immediate performance. This study reports the impact of taking a project‐based introductory engineering course on students' subsequent academic success.

   This quantitative study examines characteristics related to enrollment in the project‐based introductory engineering course and subsequent academic performance. We hypothesized that participation in the course would be associated with higher academic performance in subsequent engineering courses. In addition, we examined heterogeneity effects for students traditionally underrepresented in engineering education.

   This study utilized data on students' demographics, academic preparation, course enrollment, and course performance from 1,318 engineering students from a large public university in Southern California. Logistic regression analysis with robust standard errors examined enrollment patterns. We applied propensity scores as inverse‐probability weights in multiple linear models to calculate the average treatment effect on the treated for participants from the project‐based introductory engineering course in five subsequent engineering courses. This analysis was conducted for all students and for selected student subgroups.

   Enrollment in the project‐based introductory engineering course was positively associated with students' performance in some subsequent engineering courses and did not adversely affect students traditionally underrepresented in engineering.

   This study provides an example of a project‐based introductory engineering course that can support students' academic success in engineering. The benefits detected for some student populations (e.g., female) are encouraging for broadening engineering pathways.

    

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5. Effects of High Impact Educational Practices on engineering and computer science student participation, persistence, and success at land grant universities: YEAR 2.

   Asghar, M. ( August 2022 , 2022 ASEE Annual Conference & Exposition)

   Effects of High Impact Educational Practices on Engineering and Computer Science Student Participation, Persistence, and Success at Land Grant Universities: Award# RIEF-1927218 – Year 2 Abstract Funded by the National Science Foundation (NSF), this project aims to investigate and identify associations (if any) that exist between student participation in High Impact Educational Practices (HIP) and their educational outcomes in undergraduate engineering and computer science (E/CS) programs. To understand the effects of HIP participation among E/CS students from groups historically underrepresented and underserved in E/CS, this study takes place within the rural, public university context at two western land grant institutions (one of which is an Hispanic-serving institution). Conceptualizing diversity broadly, this study considers gender, race and ethnicity, and first-generation, transfer, and nontraditional student status to be facets of identity that contribute to the diversity of academic programs and the technical workforce. This sequential, explanatory, mixed-methods study is guided by the following research questions: 1. To what extent do E/CS students participate in HIP? 2. What relationships (if any) exist between E/CS student participation in HIP and their educational outcomes (i.e., persistence in major, academic performance, and graduation)? 3. How do contextual factors (e.g., institutional, programmatic, personal, social, financial, etc.) affect E/CS student awareness of, interest in, and participation in HIP? During Project Year 1, a survey driven quantitative study was conducted. A survey informed by results of the National Survey of Student Engagement (NSSE) from each institution was developed and deployed. Survey respondents (N = 531) were students enrolled in undergraduate E/CS programs at either institution. Frequency distribution analyses were conducted to assess the respondents’ level of participation in extracurricular HIPs (i.e., global learning and study aboard, internships, learning communities, service and community-based learning, and undergraduate research) that have been shown in the literature to positively impact undergraduate student success. Further statistical analysis was conducted to understand the effects of HIP participation, coursework enjoyability, and confidence at completing a degree on the academic success of underrepresented and nontraditional E/CS students. Exploratory factor analysis was used to derive an "academic success" variable from five items that sought to measure how students persevere to attain academic goals. Results showed that a linear relationship in the target population exists and that the resultant multiple regression model is a good fit for the data. During the Project Year 2, survey results were used to develop focus group interview protocols and guide the purposive selection of focus group participants. Focus group interviews were conducted with a total of 27 undergraduates (12 males, 15 females, 16 engineering students, 11 computer science students) across both institutions via video conferencing (i.e., ZOOM) during the spring and fall 2021 semesters. Currently, verified focus group transcripts are being systematically analyzed and coded by a team of four trained coders to identify themes and answer the research questions. This paper will provide an overview of the preliminary themes so far identified. Future project activities during Project Year 3 will focus on refining themes identified during the focus group transcript analysis. Survey and focus group data will then be combined to develop deeper understandings of why and how E/CS students participate in the HIP at their university, taking into account the institutional and programmatic contexts at each institution. Ultimately, the project will develop and disseminate recommendations for improving diverse E/CS student awareness of, interest in, and participation in HIP, at similar land grant institutions nationally. 

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