essential that this work is done intandem, as it would be unethical to recruit women into an environment that is known tosystemically disadvantage them. Though chemical engineering has made great strides in genderparity compared to other engineering disciplines, the results of this study reinforce the idea thatdiversity is not the same as equity.References [1] NSF. Bachelor’s degrees awarded to women, by field, citizenship, and race/ethnicity: Women, minorities, and persons with disabilities in science and engineering, 2008. [2] C. E. Brawner, S. M. Lord, and M. W. Ohland, Undergraduate women in chemical engineering: Exploring why they come. ASEE Conference Proceedings, 2011. [3] J. Trapani and K. Hale, “Higher education in science and
to and survive in unwelcoming, toxic,and systemically oppressive computing environments, the aforementioned activities (and thoseof the greater Alliance) shift this focus to ensure that staff, educators, and administrators have thetools necessary to address and remove systemic barriers to student success in computing.References[1] S. Zweben and B. Bizot, “2020 Taulbee Survey,” 2020. [Online]. Available: https://cra.org/wp-content/uploads/2021/05/2020-CRA-Taulbee-Survey.pdf[2] M. Broussard, Artificial Unintelligence. The MIT Press, 2018. Accessed: Dec. 21, 2020. [Online]. Available: https://mitpress.mit.edu/books/artificial-unintelligence[3] R. Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1st edition
) only report result for the 'sweet-spot' factorsalong one or two dimensions (e.g., student educational history⸺ quizzes, assignment, andexams; demographic features⸺ sex, age, marital status, state) [1-2], (b) are carried out withdiverse and fragmented factors using dissimilar machine learners making their results difficult tocompare [3]. Towards this end, the paper exploits all the attributes (i.e., sixty-seven attributes)over ten dimensions (listed in Table 1) using five machine learning algorithms. The Objective ofthe work-in-progress (WIP) is two-fold: (i)To leverage machine learning to identify the factorsthat are the best predictor of an at-risk student(s) in a programming course and (ii) Compare theperformance of the machine learner(s
accepted responses forseveral weeks.Results and DiscussionImpacts of the AIChE Education Division’s VCP program on the delivery of chemicalengineering courses during the COVID-19 pandemic were wide-ranging. After a web-basedinterest form was circulated to attendees and other members of the AIChE community,respondents answered whether they would like to participate in a VCP, to identify course(s) theywere teaching, and to indicate their willingness and ability to lead/moderate a VCP. Within oneweek, 88 faculty members filled out the form, and the communities began to materialize. Thetotal number of interested participants continued to grow through the semester and into thefollowing semester. From March 2020 to December 2020, 191 participants from
follow-on group. It would providevaluable experience to the students if more clients could be recruited from the community.AcknowledgementsThe authors would like to thank the following ME students who participated in this project: Arlint,A., Durbin, T., Hayes, T.S., Jefferson, S., Jewett, S., Maltbie, J., Mihalec, B., Milne, S., Richards,T., Ward, M., and Willard, J..References[1] R. H. Todd, S. P. Magleby, C. D. Sorensen, B. R. Swan, and D.K. Anthony. “A survey ofcapstone engineering courses in North American,” Journal of Engineering Education, vol. 84,pp.165-174, April 1995.[2] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorensen. “A review of literature onteaching engineering design through project-oriented capstone courses,” Journal
authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Committee on Equal Opportunities in Science and Engineering, “Broadening participation in America’s STEM workforce: 2011–2012 biennial report to Congress,” National Science Foundation, Arlington, VA, 2014. Retrieved from https://www.nsf.gov/od/oia/activities/ceose/reports/Full_2011- 2012_CEOSE_Report_to_Congress_Final_03-04-2014.pdf2. S. Hurtado, K. Eagan, and M. Chang, “Degrees of success: Bachelor’s degree completion rates among initial STEM majors,” Higher Education Research Institute at UCLA, 2010.3. M. Ong, C. Wright, L. Espinosa, and G. Orfield, “Inside the double bind: A synthesis of empirical research on undergraduate and graduate
. Michalsky, “Peer mentoring in mathematics: Effects on self- efficacy and achievement” Journal of Educational Psychology, 109(6), 767-778, 2017. Dual-Form Mentoring Model: Near-peer mentoring 4. C.M. Eddy & K.A. Hogan, “Peer mentoring in a university first-year science course: impact on academic performance and perceived experiences.” Journal of College Science Teaching, 49(2), 38-44, 2019. combined with reverse mentorship was employed. Near- 5. D. Yomtov, S. Plunkett, & R. Efrat “Can Peer Mentors Improve First-Year Experiences of University Students?” Journal
method, even if the answer was incorrect, which indicates a strongemphasis on students’ ability to grasp and apply concepts:“If you show me the process that youhave done, and you do the right process and doing the problem. I will give you 90% of the creditirregardless of if you get the right answer or not.” Additionally, ID1’s grading system wasflexible, allowing for student redemption. According to ID1, poor performance on an initial testcould be offset by improvement on subsequent assessments. This flexibility might encouragecontinuous learning, as students were not penalized heavily for early mistakes and instead aregiven the opportunity to demonstrate growth over the course of the semester: “I make the courseso that hey, you flunk the first
Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a
applied on a mass, M it accelerates and a displacement, x takes place tothe mass. Based on the Alembert’s principle a differential equation can be written for spring, massand damper as: Rigid surface +X X ( s) 1 -X (1) F(t) F ( s) Ms Ds K 2 Rigid surface Figure 2. Mass-Damping-Spring setup
logswas examined in terms of individual and collective contributions resulting in visualizations ofthe teams’ design processes across several metrics including: construction, optimization, andnumerical analysis.Preliminary results for this work-in-progress indicate that students mostly designed sequentiallyacross solarizable sites, with little concurrent activity. Optimization patterns vary between teamsand show some relation to teams’ final design(s) performance.IntroductionReal world engineering is typically a complex process requiring a high degree of collaboration.To prepare students for such an environment many faculty members embed team based designwork in their courses. In fact, engineering design and teamwork are both required components
. Wereceived both positive and negative team stories from the participants. In addition, we found itwas not only the engineering classes, clubs, and teams that seemed to affect the sense ofbelonging, but also where the participants lived. Our preliminary results indicate that students’making experiences, especially in the context of project teams, influence how they feel asengineers. We will continue to explore these themes into the second year of our project.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204738. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National
, and recognition programs where womenfeel valued and respected.References[1] D. J. Nelson and D. C. Rogers, A national analysis of diversity in science and engineering faculties at research universities. Citeseer, 2003.[2] J. DeAro, S. Bird, and S. Mitchell Ryan, “NSF ADVANCE and gender equity.,” Equal. Divers. Incl., vol. 38, no. 2, pp. 131–139, Mar. 2019.[3] K. P. Constant, “ISU ADVANCE - Sustaining and institutionalizing efforts to enhance recruitment, retention and advancement of women faculty in engineering,” in 118th ASEE Annual Conference and Exposition, 2011.[4] S.-N. C. Liu, S. E. V. Brown, and I. E. Sabat, “Patching the ‘leaky pipeline’: Interventions for women of color faculty in STEM academia,” Arch. Sci
Study,” Journal of Engineering Education, vol. 86, 01/01 1997, doi: 10.1002/j.2168-9830.1997.tb00259.x.[2] A. C. Strenta, R. Elliott, R. Adair, M. Matier, and J. Scott, “Choosing and Leaving Science in Highly Selective Institutions,” Research in Higher Education, vol. 35, no. 5, pp. 513-547, 1994. [Online]. Available: http://www.jstor.org/stable/40196139.[3] E. Simpson, D. Bradley, and J. O’Keeffe, “Failure is an option: an innovative engineering curriculum,” International Journal of Building Pathology and Adaptation, vol. 36, 05/10 2018, doi: 10.1108/IJBPA-10-2017-0046.[4] R. D. Augustine and M. S. U. C. o. Engineering, Persistence and Attrition of Engineering Students: A Study of Freshman and Sophomore
Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F. (2001). Spatial ability and learning the use of an angled laparoscope in a virtual environment. In J
engineering.References[1] R. S. Adams, J. Turns, and C. J. Atman, “Educating effective engineering designers: The role of reflective practice,” in Design Studies, 2003, vol. 24, no. 3, pp. 275–294.[2] G. Lemons, A. Carberry, C. Swan, L. Jarvin, and C. Rogers, “The benefits of model building in teaching engineering design,” Des. Stud., vol. 31, no. 3, pp. 288–309, 2010.[3] D. Tolbert and S. R. Daly, “First-year engineering student perceptions of creative opportunities in design,” Int. J. Eng. Educ., vol. 29, no. 4, pp. 879–890, 2013.[4] S. R. Daly, E. A. Mosyjowski, and C. M. Seifert, “Teaching Creativity in Engineering Courses,” J. Eng. Educ., vol. 103, no. 3, pp. 417–449, Jul. 2014.[5] L. A. Liikkanen and M. Perttula, “Exploring problem
., Ciarallo, F.W., Klingbeil, N.W. (2014). Developing the Academic Performance- Commitment Matrix: How measures of objective academic performance can do more than predict college success. Proceedings 121st ASEE Annual Conference and Exposition, Indianapolis, IN, June 2014.Brown, S. D., Tramayne, S., Hoxha, D., Telander, K., Fan, X., & Lent, R. W. (2008). Social cognitive predictors of college students’ academic performance and persistence: A meta- analytic path analysis. Journal of Vocational Behavior, 72(3), 298-308.Burnham, J.R. (2011). A case study of mathematics self-efficacy in a freshman engineering mathematics course. (unpublished master’s thesis). Washington State University, Pullman, WA.Connor, M. C., & Paunonen, S. V
consider the engineering course they took in theprevious semester that was the most relevant to their current course and to indicate their priorexperience with four of the most commonly used types of instruction in engineering course.These types of instruction include: “listen to the instructor lecture during class,” “answerquestions posed by instructor during class,” “brainstorm different possible solutions to a givenproblem,” and “discuss concepts with classmates during class.” If a student had been exposed tothis type of instruction in the prior course, s/he was also asked how s/he typically responded to itusing four classroom engagement constructs of value, positivity, participation, and distraction(Table 1; DeMonbrun et al., 2017; Fredricks
this method of delivery with the other partner schools.References 1. Adapting Tested Spatial Skills Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F
assessmentof the first year of the program. The students were carefully and closely mentored by aninterdisciplinary team of faculty members from various departments within the Colleges ofEngineering and Science. The participating students learned to use computational tools needed toengage in multidisciplinary UAV research projects. They learned to do the scientific literaturereview, and had an opportunity to improve written and oral communication skills. Theparticipants were required to present a poster, give an oral presentation of the research, and submitabstract (s) to student and/or professional conferences. In addition, the students participated in aseries of research symposium and seminars designed to expose them to a range of research topics
collaborative multinational design Project (CMDP) with a perception of value above 70% of the maximum possible score for such construct, therefore the Null Hypotheses is: o 𝜇𝑉𝑎𝑙𝑢𝑒 𝐶𝑀𝐷𝑃 ≤ 70% The maximum scores are based on the number of statements included in the particular construct, therefore, the interest construct has a maximum total of 49 points (i.e., 7 statements with a maximum score of 7 for each), and the value construct has a maximum score of 35 points. Because of the existence of reverse statements, the actual score for each construct was calculated based on the following expressions: S 6 S11 S14 S17 8 S 22 S 26 S 29 Interest
that affords different levels of analysis that can be used to triangulatefindings. By doing so, the validity and reliability of the recommendations and implications canbe strengthened through maximum information and perspective, corroboration of data, andreduction of bias [18, 19]. Such methods might be used to clarify complex social, cultural, and/orpolitical phenomena [20] such as the lack of diversity in particular engineering fields.References[1] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang, “Why are some STEM fields moregender balanced than others?” Psychol Bull, vol.143, no.1, pp.1-135, Jan. 2017.[2] C. E. Foor, S. E. Walden. and D. A. Trytten, “I wish that I belonged more in this wholeengineering group: Achieving individual
as an Assistant Professor.Dr. Anidza Valent´ın-Rodr´ıguez, University of Puerto Rico, Mayaguez Campus c American Society for Engineering Education, 2020 Success Expectations of Low-Income Academically Talented Students in Engineering - A Preliminary Study at a Hispanic- Serving InstitutionIntroductionThis paper describes findings on interviews conducted with Hispanic engineering studentsinterested in participating in an S-STEM fellowship program at the University of Puerto Rico,Mayagüez Campus (UPRM). The program seeks to increase the retention, persistence, andsuccess of Low-Income Academically Talented Students (LIATS) at the College of Engineering(CoE). The
]. Available: https://www.mass.edu/stem/documents/student%20interest%20summary%20report.pdf[6] S. Bhattacharyya, T. P. Mead, and R. Nathaniel, “The Influence of Science Summer Camp on African-American High School Students’ Career Choices: Influence of Science Summer Camp,” Sch. Sci. Math., vol. 111, no. 7, pp. 345–353, Nov. 2011, doi: 10.1111/j.1949- 8594.2011.00097.x.[7] K. A. Henderson, L. S. Whitaker, M. D. Bialeschki, M. M. Scanlin, and C. Thurber, “Summer Camp Experiences: Parental Perceptions of Youth Development Outcomes,” J. Fam. Issues, vol. 28, no. 8, pp. 987–1007, Aug. 2007, doi: 10.1177/0192513X07301428.[8] D. E. Chubin, G. S. May, and E. L. Babco, “Diversifying the Engineering Workforce,” J. Eng. Educ., vol. 94, no. 1
Faculty of the Faculty Cluster Initiative’s Learning Sciences Cluster at the University of Central Florida. Her research focuses on measuring self-regulated learning across research and learning contexts, such as STEM classrooms.Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He coordinates two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers. He has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro
]. Both face and contentvalidity search to decide the degree to which a construct is accurately translated intooperationalization. Face validity examines the operationalization at face value to determinewhether it is a good translation of the construct [26], while content validity examines theoperationalization compared to the construct’s relevant content area(s) (i.e., the appearance thatthe instrument measures what it is intended to measure) [27].Survey items were written by the first author and then reviewed and critiqued by various groups.The authors’ research lab group initially provided feedback on the survey questions’ clarity andreadability, and whether the items are relevant and right for measurement. This research groupbrings expertise
Tech University Virgil Orr Professor of Chemical Engineering Director of Biomedical and Chemical Engineering ©American Society for Engineering Education, 2024 Improving First-Year Engineering Student Success with Targeted Financial Assistance, Supplemental Instruction, and Cohort Team BuildingAbstractThis complete research paper assesses the first-year implementation of an NSF-funded S-STEMeffort, the SUCCESS Scholars Program (SSP), established in the Fall of 2022 at Louisiana TechUniversity.Louisiana Tech University is a Carnegie High Research Activity University that hasapproximately 20% of its 7500 undergraduates as engineering majors, is geographicallydistanced
demographics are in Bolton [14] forthe early-career sample and Miskioğlu et al. [6] for the mid-to-late career sample. Allparticipants self-identified as women or men in an open-response text box.Data Collection is also described in detail in prior work [6], [14]. All interviews followed thesame previously tested protocol [1], [6], [14]. This protocol includes three main interviewsections: expertise, decision making, and intuition. In this paper, we are only interested in theintuition section of the interviews.Table 1 Pseudonyms categorized by years of experience with gender identity, racial/ethnicidentity, and degree discipline(s); tables adapted from Miskioglu et al. [6] and Bolton [14] Level of Reported Reported Years of