, vol. 1, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, B. Newberry, Eds. Springer, pp. 171-189, 2015.[17] E. A. Cech, “The (mis)framing of social justice: Why ideologies of depoliticization and meritocracy hinder engineers’ ability to think about social injustices,” in Engineering education for social justice: Critical explorations and opportunities, vol. 10, J. Lucena, Ed. Springer, pp. 67-84, 2013.[18] E. A. Cech and H. M. Sherick, “Depoliticization and the structure of engineering education,” in International perspectives on engineering education: Engineering education and practice in context, vol. 1, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, B
):A number of users described their strategies for overcoming the common challenges at work. Anexample of a helpful approach was to use noise-canceling headphones at work and listen tobackground music. In response to P4's story about leaving their headphones and how they becameoverwhelmed by forgetting their Airpods, users shared their suggestions and stories about similarexperiences. Most of them mentioned that it had happened to them before in the past and that theyhad backups for their AirPods. In several comments, users expressed the difficulty of workingwithout their Air pods. For instance, P24 said, "I completely agree with you. If I forget my earbuds,I cannot work. I cannot pay attention to anything without something playing in my ear
. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] C. B. Zoltowski, P. M. Buzzanell, A. O. Brightman, D. Torres, and S. M. Eddington, “Understanding the Professional Formation of Engineers through the Lens of Design Thinking: Unpacking theWicked Problem of Diversity and Inclusion,” ASEE Annu. Conf. Expo. Proc., Jun. 2017, Accessed: Dec. 06, 2022. [Online]. Available: https://par.nsf.gov/biblio/10036285-understanding-professional-formation-engineers- through-lens-design-thinking-unpacking-thewicked-problem-diversity-inclusion[2] B. Frank, D. Strong, R. Sellens, and L. Clapham
graduate education for improvingtechnical and professional skills of graduate education has demonstrated that it has potential inaddressing the project goals. For this model to be successful, several requirements are critical. Asdemonstrated above, teams are more successful when effective scaffolds are employed to supportthe co-creation process. These scaffolds need to come from supportive and engaged researchadvisors of graduate students who can work collaboratively with an agreed-upon set of goals andobjectives for their students’ success in this effort. Throughout the project, mechanisms formaintaining and exercising acquired skills need to be provided. We also believe that it isimportant to identify the specific product(s) that co-creating
of the mentoring sessions. Two of the mentors interviewed were Deans ofEngineering and two were faculty members. During an individual 30-minute interview, each wasasked the following questions: 1. I understand that you have served as a mentor for at least one of the KIND speed Mentoring workshops. What was the topic for the mentoring session(s) that you led? 2. Approximately how many individuals participated in your session(s)? 3. May I ask you to briefly describe your impressions/experiences of the session(s)? 4. What did you think went particularly well with the session(s)? 5. Were there any aspects of the session(s) that proved particularly challenging or that you wish you had approached differently? 6. Have you
Psychologist, 34(1), 118-133. https://doi.org/10.1177/0011000005282374Bowman, P. J. (2013). A Strengths-Based Social Psychological Approach to Resiliency: Cultural Diversity, Ecological, and Life Span Issues. In S. Prince-Embury & D. H. Saklofske (Eds.), (pp. 299-324). Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-4939-3_21Brooms, D. R., & Davis, A. R. (2017). Exploring Black Males' Community Cultural Wealth and College Aspirations. Spectrum: A Journal on Black Men, 6(1), 33-33. https://doi.org/10.2979/spectrum.6.1.02Burrell, J. O., Fleming, L., Fredericks, A. C., & Moore, I. (2015). Domestic and international student matters: The college experiences of Black males majoring in
areplotted as red +’s. Plots without boxes indicate that all responses besides the median response areoutliers. Recalling the Likert scale currently in use, the 1–4 on the horizontal axis are as follows:agree (1), tend to agree (2), tend to disagree (3), disagree (4).Next, we look for correlations between responses to different survey questions and also to coursegrade. Specifically, we calculated Spearman’s rank-order correlation coefficients r andcorresponding p-values for survey questions 2–10 and for students’ course grade. The nullhypothesis is that there is no monotonic association between the data (course grade and surveyquestion responses). The results are shown in Table 4. Responses for only a few questionsshowed moderate correlations, which
. http://www.ieagreements.org/assets/Uploads/Documents/History/25YearsWashingtonAcc ord-A5booklet-FINAL.pdf (accessed Apr. 16, 2018).[4] C. E. Harris, M. Davis, M. S. Pritchard, and M. J. Rabins, “Engineering Ethics: What? Why? How? And When?,” J. Eng. Educ., vol. 85, no. 2, pp. 93–96, 1996, doi: 10.1002/j.2168-9830.1996.tb00216.x.[5] J. L. Hess and G. Fore, “A Systematic Literature Review of US Engineering Ethics Interventions,” Sci. Eng. Ethics, vol. 24, no. 2, pp. 551–583, 2018, doi: 10.1007/s11948- 017-9910-6.[6] C. E. Harris, “The good engineer: Giving virtue its due in engineering ethics,” Sci. Eng. Ethics, vol. 14, no. 2, pp. 153–164, 2008, doi: 10.1007/s11948-008-9068-3.[7] L. M. Steele et al., “How
. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in undergraduate engineering education, and retention of engineering students. She leads a research group whose goal is to foster active interdisciplinary research which investigates learning and motivation and whose findings will inform the
) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in
underrepresented minorities in engineering. Nonetheless, a story is not completeuntil it integrates not only some of the characters, but also their environment, history, beliefs,values, ways of knowing, doing and being. Similarly, as part of the engineering educationcommunity, we must add more factors to this story – the stories of struggle, subjugation, andoppression.Bibliography 1. Blaisdell, S. (2006). Factors in the Underrepresentation of Women in Science and Engineering: A Review of the Literature. Women in Engineering ProActive Network. 2. Cohen, C. C. D., & Deterding, N. (2009). Widening the net: National estimates of gender disparities in engineering. Journal of Engineering Education, 98(3), 211-226. 3. Beddoes, K
purpose of this paper is to recommend adapting new pedagogical methods to theaccepted topics in an introductory probability and statistics course for engineeringundergraduates—methods that better match the learning characteristics of Millennial students inour courses. In a nutshell, those characteristics may be summarized as: (1) They want relevanceto their major, and future engineering career; (2) They want rationale (for the textbook selected,and for specific course policies and assignments); (3) They revel in technology (to collect data,compute, communicate, and multi-task); (4) They want a relaxed, hands-on environment; (5)They prefer instructors who rotate among several classroom delivery methods.Considering the “Five R‟s” learning
and minorities continue to be underrepresented in engineering, both nationally and atRoger Williams University. In 2012, women constituted just 12% of engineering graduates at theuniversity, while minorities constituted just 4%. In an effort to boost the enrollment, performance,and persistence of underrepresented students, the university applied for and received an NSF S-STEM grant to integrate engineering, biology, and marine biology students into an existingprogram supporting underrepresented students on campus. The combined program, known asSTILAS, provides participants with a $10,000 NSF scholarship, supplemented by the university,as well as dedicated tutoring and advising, and co-curricular activities such as field trips and
metallurgical engineering at the South Dakota School of Mines and Technology (SD Mines). Between 2008-2013, he served as site director of the NSF I/UCRC Center for Friction Stir Processing (CFSP). Since then, he has been involved in a range of projects involving friction stir joining and alloy processing in a variety of metal alloys including aluminum alloys, ODS steels, titanium alloys, cast irons, and dissimilar metal alloys. He is also actively engaged in STEM-Ed projects and serves as the director for the NSF Research Experience for Undergraduates (REU) ”Back to the Future”, coordinator for the Army Educational Outreach REAP program for High school students at SD Mines, and PI for the S-STEM Culture and Attitude program
duein class the following week. Two midterm exams and one final exam were given, and studentscompleted two Matlab projects in groups of three.ParticipantsThe course was taught by the same instructor in both terms considered in this study. Theinstructor was a full-time faculty member at the university with over 10 years of teachingexperience. S/he had taught the DTSS course discussed here several times prior to the two termsin question. Student participants in the study were predominantly male, junior or senior students,majoring in electrical engineering. The majority of students were also domestic and in-state.However, they varied greatly in GPA. The students were also diverse in race/ethnicity with overhalf being either White or Asian. The
: 1. Include descriptions of the cultural context 2. “[A]ttend to the embodied nature of the protagonist” [39, p.17] 3. Consider how other people affect the central character 4. Identity choices and actions of the central character 5. Attend to past experiences and how they impact the choices and actions 6. Create a story with a beginning, middle, and end 7. The plot should bring all the data together into a meaningful story that explains why the central character acted the way s/he didQuality ConsiderationsThis project will be monitored by an external review board and an internal framework.Internally, we will use the Q3 framework outlined by Walther et al. [41] and Walther
Psychology, 101(4), 817-835.2 Kell, H. J., & Lubinski, D. (2013). Spatial ability: A neglected talent in educational and occupational settings. Roeper Review, 35(4), 219-230.3 Newcombe, N. S., Uttal, D. H., & Sauter, M. (2013). Spatial development. Oxford Handbook of Developmental Psychology, 1, 564-590.4 National Research Council (NRC). (2006). Learning to think spatially: GIS as a support system in the K-12 curriculum. Committee on the Support for the Thinking Spatially, National Research Council, Publisher: The National Academies Press, URL: http://books. nap. edu/catalog. php.5 Sorby, S. A. (2009). Educational research in developing 3‐D spatial skills for engineering students. International Journal
J K L M N O P Q R S T U 21 11 3 3 9 11 3Table 2 lists the research topics and physics associated with the 21 most successful models todate. Four topics
research questions, we decided to examine defining characteristics ofindividuals identified by our participants as exemplary engineering leaders. It was at this point Page 26.815.2that we noticed a significant over-representation of men in the pool of highly esteemed leaders.In this paper, we use a factor analysis and Chi-Square Goodness of Fit test to examine onepossible reason for this disparity—a gender difference in engineers’ leadership aspirations. Wethen use a focused literature review to hypothesize two alternative explanations for our finding. T ABLE 1 : S AMPLE C HARACTERISTICS Category Sub-Categories
differentengineering disciplines to solve many important manufacturing automaton problems. As a finalproject, students are expected to model and simulate a work cell for the selected application andto perform the same with the physical robots in the lab. They will compare both outcomes forevaluation of the calculated results. Students submit a comprehensive engineering report todocument all requirements. Experiments and projects are designed and implemented in asequence that would allow the students to acquire a complete manufacturing automationexperience. This included on-line and off-line robot programming (uploading and downloadingprograms between robots controllers and simulation software), robot integration (addingperipherals to a robot(s) to create a
expressed in this work are those of the author and do not necessarily representthose of the National Science Foundation.References[1] V. Hunt, S. Prince, S. Dixon-Fyle, and L. Yee, "Delivering through diversity," McKinsey & Company Report. Retrieved April, vol. 3, p. 2018, 2018.[2] ASEE, "Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integration Industry Perspectives.," 2013.[3] J. L. Arminio et al., "Leadership experiences of students of color," NASPA journal, vol. 37, no. 3, pp. 496-510, 2000.[4] C. R. Romano, "A qualitative study of women student leaders," Journal of College Student Development, 1996.[5] A. Kezar and D. Moriarty, "Expanding our understanding of
engineeringfaculty at a research institution who collaborated on an NSF-funded research project aimed atstudying the impact of implementing oral exams in high enrollment courses. The primaryresearch questions were: How did the instructor’s perspectives and behaviors change as theyimplemented oral exams in their courses? How did the instructors act on a growth-orientedmindset?MethodsWe invited six teaching professors from the departments of Mechanical and AerospaceEngineering and Electrical Engineering to participate in the study. To protect the confidentialityof each individual, pseudonyms were used in lieu of using their full names in data analysis (SeeTable 1). Instructor Department Course(s) that implemented oral exams
diverse perspectives andfemale role models in STEM (Konowitz et al., 2022). Introducing students to the narratives andaccomplishments of women, minorities, and people from various cultural backgrounds canmotivate and empower underrepresented groups to pursue careers in STEM (Cheryan et al.,2015; Gilberth, 2015). Institutions, including K-12 and higher education, should develop moreinclusive and supportive environments for students interested in STEM. This involves offeringmentorship programs, networking opportunities, professional development for teachers, andresources suited to the needs of different student demographics. Such efforts align with Yeo etal.’s (2024) preliminary work that teachers use verbal and non-verbal cues to facilitate
s sections of theengineering course at a large Midwestern university. Over the semester, students were asked toreflect after each lecture on two aspects of their learning experience, i.e., what they found 1)interesting and 2) confusing in the lecture? In total, we collected reflections from 42 lectures, andthe average class size was 80 students in each section. To inform the study, we generated areflection summary for all reflection submissions in each lecture using both NLP approaches andhuman annotators. Furthermore, we evaluated the quality of reflection summaries by assessingthe ROUGE-N measure for each lecture’s reflection summary generated by all three approaches.These summaries were then aggregated for each approach by averaging
-levelthemes that capture the essence of the interview corpus, but it performed poorly in mapping theconcepts to specific files. Therefore, a hybrid approach that leverages the strengths of both AIand human expertise may be the most effective strategy for analyzing complex qualitative data ineducational research.AcknowledgmentThis material is based upon work supported by the U.S. National Science Foundation (NSF)under Grant No. (DUE 2120936). Any opinions and findings expressed in this material are of theauthors and do not necessarily reflect the views of the NSF.References:[1] S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in STEM Education," in 2021 Fall ASEE Middle Atlantic Section Meeting, 2021. [Online
educational technology to plan, prepare, and deliver robotics lessons tofifth graders at a local school. The meeting times for the two courses were scheduled to overlapfor 75 minutes a week, allowing the engineering and education students to work collaborativelyduring multiple class sessions. Each team comprised one or two engineering student(s), onepreservice teacher, and one or two fifth grader(s). The teams engaged in the followingcollaborative activities over the course of the semester: ● Training phase. The first two collaborative sessions involved engineering students and preservice teachers meeting in a classroom on campus and partnering in teams to: ○ train with the Hummingbird BitTM hardware (e.g. sensors, servo motors) and
has over 8 years of work experience in the A/E/C (Archite ©American Society for Engineering Education, 2024 Technological Infrastructure Equity for Minority Serving Institutions in Construction EducationAbstract: In the U.S. and its territories, over 800 identified Minority Serving Institutions (MSI)exist. Despite the number of MSI and the diverse population that they targeted, there is a gap inthe number of higher education degrees obtained by minority students in relation to non-minoritystudents. The root cause(s) of the gap must be determined to take tangible actions to reduce and,ideally, eliminate this obtainment gap. When considering this gap, there is a question of
. To protect the anonymity of our participants, participants’ genderand racial identities are not shown. Among the group, 6 identified as men and 6 as women. Interms of racial identities, the group included individuals who identified as Caucasian/White,Filipino, Hispanic, Middle Eastern, and African American/Black (all demographic informationwas self-reported in an open-ended format).Table 3Participant Demographics Participant ID Academic Major(s)/Minor(s) Year in school S02 Environmental Design Third Year S03 Biomedical Engineering Second Year S04 Mechanical Engineering
Student with ADHD and a Reading Disability,” in Promoting Safe and Effective Transitions to College for Youth with Mental Health Conditions, A. Martel, J. Derenne, and P. K. Leebens, Eds. Cham: Springer International Publishing, 2018, pp. 95–102.[3] M. A. Zapata and F. C. Worrell, “Disability Acceptance and Affirmation Among U.S. Adults With Learning Disabilities and ADHD,” J. Learn. Disabil., vol. 57, no. 2, pp. 79–90, Mar. 2024.[4] S. Maul and R. Figard, “Diminishing the data divide: Interrogating the state of disability data collection and reporting,” presented at the American Society for Engineering Education 2024, Portland, OR, 2024.[5] Learning Disabilities Association of America, “ADHD – Affects focus, attention and
research will track how unmet needs evolve into capstoneprojects, intellectual property, and startups or non-profits, demonstrating the platform’s long-term impact on healthcare innovation and engineering education.References:[1] A. Singh and D. Ferry, "Identifying Unmet Needs in Biomedical Engineering ThroughBridging the Gap Between Classroom and Clinic," in 2015 Spring ASEE Middle Atlantic SectionConference, 2015.[2] J. S. Stephens, S. I. Rooney, E. S. Arch, and J. Higginson, "Bridging courses: unmet clinicalneeds to capstone design (work in progress)," in 2016 ASEE Annual Conference & ExpositionProceedings, New Orleans, LA, USA, June 26, 2016. Available: ASEE PEER https:// doi. org/10. 18260/p. 26393.[3] J. Kadlowec, T. Merrill, S. Sood, J