as making a B+ in anintroductory class).Power of story: In this narrative research project, we found that the power of an individual’sstory is difficult to ignore. Through students stories and their lived experiences in engineering,we can get a vibrant snapshot of engineering to begin to transform engineering education toattract diverse people to engineering and to ultimately be situated to address grand challengesthat we are facing today.Sense of community: In the second and third year, many students began to experience a sense ofcommunity and this was the time that they began to experience more positive emotions anddemonstrated qualities such as ambition and resilience.Family influence: In the fourth year, students from underrepresented
. Ehrhart, B. Schneider, and W. H. Macey, Organizational Climate and Culture.Routledge, 2013. doi: https://doi.org/10.4324/9781315857664.[3] M. G. Ehrhart and B. Schneider, “Organizational Climate and Culture,” Oxford ResearchEncyclopedia of Psychology, Dec. 2016, doi:https://doi.org/10.1093/acrefore/9780190236557.013.3.[4] B. Schneider and A. E. Reichers, “On the Etiology Of Climates,” Personnel Psychology, vol.36, no. 1, pp. 19–39, Mar. 1983, doi: https://doi.org/10.1111/j.1744-6570.1983.tb00500.x.[5] B. Schneider, V. González-Romá, C. Ostroff, and M. A. West, “Organizational climate andculture: Reflections on the history of the constructs in the Journal of AppliedPsychology.,” Journal of Applied Psychology, vol. 102, no. 3, pp. 468–482, 2017
. American Society for Engineering Education. Education and Research Methodsdivision. Tampa, FL.Ali, H., Kinach, B., & Lande, M. (2019, November). Innovating Scaffolded Prototyping forDesign Education: Toward A Conceptual Framework Derived from MathematicsPedagogy. Forty-First Annual Meeting of the North American Chapter of the InternationalGroup for the Psychology of Mathematics Education. St Louis, MO.Clements, D.H. and J. Sarama, Learning trajectories in mathematics education. Mathematicalthinking and learning, 6(2), 81-89. 2004.Confrey, J. and A. Maloney, The construction, refinement, and early validation of theequipartitioning learning trajectory. In Proceedings of the 9th International Conference of theLearning Sciences-Volume 1 (pp. 968
) Critical thinking skills: Critical thinking skills are assessed using the Critical Thinking Assessment Test (CAT, developed by Tennessee Tech) and activities done in class [4, 12, 13]. b) Academic success is assessed using grades in Math and Sciences, GPA at the end of the semester, and number of credit hours approved versus total number of credit hours attempted. c) Engineering Identity: measured, from the entrance and exit surveys, using questions from Jones et al. [14]. d) Interest in engineering: changes in interest in engineering were measured using entrance and exit surveys [15, 16]. e) Persistence in engineering: the number of students that continued pursuing a degree in engineering was obtained
research but can also serve as a guide for others who may attempt similar work in the future.Project Goals for 20151) Development, testing, and validation of the engineering innovativeness measurement instrument for both student and practicing engineer populations through the collaboration and support of ten universities and ten corporations in three phases: a. Classical item analysis and instrument testing. b. Pilot testing and factor analysis. c. Validation testing of instrument[s].2) Planning for full evaluation studies in 2015-2018 of Engineering Innovativeness at all 20 collaborating academic and corporate institutions. a. Project plans for research studies to be conducted at the participating collaborating
mimics the dynamics of a real system and its entities (e.g., people, products, raw materials that are processed, assembled, manufactured, stored, transferred, or transported depending on the simulated context). The simulation provides the context for technology-enhanced PBL. The simulation models in our proposed ISBL modules can be used on any standard 2D display or via a VR headset for a more immersive experience. (b) A PBL learning activity defined around the simulated system and inspired by real-world situations that learners may encounter in a professional setting or future workplace.Many of the pedagogical and psychological theories that support PBL also apply to ISBL or en-hanced as a result of integration
-Procedure-Manual-11- 16-17.pdf, Nov. 16, 2017 [Jan. 30, 2018]. [3] C. J. Nemeth, “Dissent as driving cognition, attitudes, and judgments,” Social Cognition, vol. 13, no. 3, pp. 273-291, Sep. 1995. [4] P.L. McLeod, S.A. Lobel, and T.H. Cox Jr, “Ethnic diversity and creativity in small groups,” Small group research, vol. 27, no. 2, pp. 248-264, May 1995. [5] R. Guimera, B. Uzzi, J. Spiro, and L. A. N. Amaral, “Team assembly mechanisms determine collaboration network structure and team performance,” Science, vol. 308 no. 5722, pp. 697-702, Apr. 2005. [6] T. R. Kurtzberg, “Feeling creative, being creative: An empirical study of diversity and creativity in teams,” Creativity Research Journal, vol. 17, no
/november-2019/inclusion-diversity-now- factor-accreditation-standards[13] E. T. Layton, “The Revolt of the Engineers. Social Responsibility and the American Engineering Profession,” Johns Hopkins University Press, 701 W, 1986.[14] M. Davis, “What’s philosophically interesting about engineering ethics?,” Sci. Eng. Ethics, vol. 9, pp. 353–361, 2003.[15] R. S. Rosenberg, “Beyond the code of ethics: the responsibility of professional societies,” in Proceedings of the ethics and social impact component on Shaping policy in the information age, Washington D.C. USA: ACM, Jun. 1998, pp. 18–25. doi: 10.1145/276755.276768.[16] J. L. Hess, A. Whitehead, B. K. Jesiek, A. Katz, and D. Riley, “WIP: Intersections Between Diversity, Equity
can be found in Fig. 2. (a) (b) (c) (d) Fig. 2 SODOTO Outcomes (a) Kevin Crespo performed analysis on Gas Chromatography; (b) Leah Hoffmann analyzed Congo red sample in High-Performance Liquid Chromatography; (c) Evan Myers presented his progress on breaking PET plastics during a bi-weekly group meeting; (d) Noah Valverde presented his poster in Undergraduate Research Showcase.Student OutcomesThrough ten weeks of training, all students gained knowledge in real-world solid wasteproblems, experimental design and skills, and data interpretation. A pre- and -focus group surveyshows that the designed proactive activities helped students understand concepts and enhancedself
research experience.Averaged across all summative questions, we saw score increases of 12% in year 1. The percentimprovement was determined as the change in score divided by the total possible score for thequestion, so it was not a percent improvement for the individual (which would be biased towardthose who gave low initial scores). In year 2, with the revised set of questions, the average scoreincrease across all questions was 19%. The questions showing the greatest increase in fellowconfidence in years 1 and 2 are shown in Tables 2 and 3, respectively. Also, a complete list ofthe pre-and post-test questions (and average scores) from years 1 and 2 are shown in Appendix Aand Appendix B, respectively.Table 2. Questions in Y1 with the greatest
is part of the NSF IUSE: RevolutionizingEngineering and Computer Science Departments (RED) program. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. Ghorbani, M., Maciejewski, A., Siller, T... Atadero, R. (2018). Incorporating Ethics in Electrical & Computer Engineering. ASEE Conference. Salt Lake City: ASEE. https://peer.asee.org/306452. Grosz, B., Grant, D., Vredenburgh, K... Waldo, J. (forthcoming). Embedded EthiCS: Integrating Ethics Broadly Across CS Education. Communications of the ACM. Retrieved from https://dash.harvard.edu/handle/1/376223013. Dubey, A., & Rozovsky
only one single RF transmission. Fig. 1(a) shows thissimplified spectrum scenario where multiple signals are located at different frequency bands, anda narrowband filter can be used to distinguish these narrowband transmissions. However, in anadvanced communication system such as a cognitive radio network, multiple signals mightsignificantly overlap in the spectrum. Fig. 1(b) illustrates the scenario where two narrowbandtransmissions with similar but different RF parameters mixed together. At the communicationreceiver, the resulting spectrum is illustrated in Fig. 1(c). It is clear that a conventional spectrumanalysis is not capable of identifying that there are two signals mixed together here. 1500
belong solely to theauthors and do not necessarily reflect the views of the NSF.ReferencesAmerican Society for Engineering Education. (2023). Profiles of engineering and engineering technology, 2022. https://ira.asee.org/wp-content/uploads/2023/12/Engineering-and- Engineering-Technology-by-the-Numbers-2022-1.pdfBlood, E. A., Ullrich, N. J., Hirshfeld-Becker, D. R., Seely, E. W., Connelly, M. T., Warfield, C. A., & Emans, S. J. (2012). Academic women faculty: Are they finding the mentoring they need? Journal of Women’s Health, 21(11), 1201–1208. https://doi.org/10.1089/jwh.2012.3529Buzzanell, P. M., Long, Z., Anderson, L. B., Kokini, K., & Batra, J. C. (2015). Mentoring in academe: A feminist
modeling on the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA,” Struct. Equ. Model., vol. 13, no. 2, pp. 186–203, 2009.[11] J. Honaker, G. King, and M. Blackwell, “Amelia II: A program for missing data,” J. Stat. Softw., vol. 45, no. 7, pp. 1–47, 2011.[12] S. A. Latif, O. M. Shukri, B. Y. Hussin, and Z. Awang, “Environmental problems and quality of life: Situational factor as a predictor of recycling behaviour,” Procedia-Social Behav. Sci., vol. 35, pp. 682–688, 2012.[13] C. Fornell and D. F. Larcker, “Evaluating structural equation models with unobservable variables and measurement error,” J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981.[14
for engineering students [15]. The goal of this project is to develop high-impact online lab teaching practices and to testtheir effectiveness of them. Accordingly, during the two long semesters in 2022, we tested ourinnovative online lab teaching strategies in the laboratory sessions with the following activelearning strategies in the laboratory sessions by a) developing and implementing open-endeddesign experiences into lab work, b) establishing teamwork in online labs, c) creating an onlinelearning community and to overcome isolation, and d) incorporating pre-lab simulations and pre-lab video demonstrations. These core lab learning strategies were applied in five EE courses:Circuits, Electronics I & II, Microcomputers, and
northern lowerpeninsula of Michigan; (2) broaden and deepen science and technology teacher/faculty’s contentknowledge and pedagogical tools by engaging them in engineering research to solve open-endedproblems; (3) improve middle school, high school, and community college student science andtechnology achievement, and (4) stimulate student interest in STEM careers through improvedinstruction and curriculum delivered by RET participants in rural Michigan.These objectives were to be achieved through (a) engaging participants in cutting-edge researchon smart vehicles through a vibrant team of CMU engineering faculty mentors, communitycollege faculty (CCF), IST, PST, and undergraduate engineering students; (b) developing skillsand abilities of
equivalentto a B+ as compared to a B of their peers” 6. Medsker et al. conducted an experimental study onthe impact of the S-STEM program on student outcomes 7. Based on relevant retention andgraduation data collected in their study, they found that unmet financial needs play a significantrole in student retention and when mitigated, led to enhanced academic success 7.Our project was funded in 2015 by the NSF S-STEM program. The project has two goals. Thefirst goal is to provide S-STEM scholarship support for academically-talented, financially-needyundergraduate students in two engineering departments at our university. These two engineeringdepartments include the Department of Mechanical & Aerospace Engineering (MAE) and theDepartment of Civil
development principles to provide students structured engagement, such as incorporating the “predict, observe, explain” technique. 3. Deliver the Interactive Virtual Laboratories in classes using the studio architecture recently implemented at the home institution. 4. Assess the perception and effectiveness of the Interactive Virtual Laboratories through: a. Classroom observation, student surveys, and instructor and student focus groups b. Measurement of learning gains on the Throttling Valve question and the Technician question, two conceptual questions that have been historically difficult for students 5. Incorporate the Interactive Virtual Laboratories as resources in the
: from Conclusion: I believe that once the high purchase price for EV’s and the lack of infrastructure are solved, After completing parts A and B I found that electric cars and trucks will be wildly popular my predictions were correct when it came to on the roads of the U.S. and across the world the predicted vs. recorded binary values of which will furthermore highlight the added both tables. environmental benefits as with every gas car replaced by an EV will reduce emissions and help reduce the possible effects of climate change.More unevenness of prior knowledge transfer is demonstrated in the interpretation of quantitativedata. The research essay includes data appropriately with signal phrases and quoted material; inthe lab
testing to illustrate our iterative evidence-baseddevelopment process and offer results of an initial pilot study from across one semester ofstudent use. The perspective for this research is user-centered design and the theoreticalframework is chemistry problem solving as situated engineering practice.Design Challenge as Laboratory WorkUsing ABET’s Student Outcomes (criteria b), each Design Challenge involves a three-phaseformat and addresses one of the Grand Challenges that relate to general chemistry topics (Figure1). The Challenges are based upon the model-eliciting activities (MEA) format and emphasizegraphical representation and experimental design (Table 1). DCs are grounded in the principlesof MEA for engineering education [7]. Students
allocatedfor the specification of the question, its choices, the feedback to be presented, as well as thelocation in the animation for reviewing that concept. By integrating the customization in theanimation itself, the customizer can see exactly how the question specification and feedback fitwithin the space allocated. The animation will use scroll bars to present the information ifrequired. a. IntroDB Multiple-Choice Question answered correctly b. QueryDB True/False Question answered incorrectlyFigure 1. Samples of Checkpoint Questions and FeedbackEvaluation: ContextBased on teaching assignments at their respective universities, the authors used the checkpointsfor learning for the first time in their classes for computer science majors. One author
subgroups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425 and DUE #1834417. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] O. Ha and N. Fang, "Spatial Ability in Learning Engineering Mechanics: Critical Review," Journal of Professional Issues in Engineering Education and Practice, vol. 142, no. 2, p. 04015014, 2015.[2] J. G. Cromley, J. L. Booth, T. W. Wills, B. L. Chang, N. Tran, M. Madeja, T. F. Shipley and W. Zahner, "Relation of Spatial Skills to Calculus Proficiency: A Brief Report," Mathematical Thinking and Learning, vol. 19, no. 1, pp. 55-68, 2017.[3] S. A. Sorby
problem [4].A number of rubrics have been developed to assess problem solving skills in students.Parematasari and colleagues implemented a 4 indicator problem solving rubric based on:Identification of the Problem, Planning a Solution, Implementing a Solution, and Evaluation [5].The rubric, which implemented a 1-4 scoring scale, was tested in a Physics class with senior highschool students. Another rubric implemented in Physics uses 44 sub-skills split in threecategories: knowledge, beliefs, expectations and motivations, and processes [6]. That rubric wasused to evaluate problem solving skills in students enrolled in courses College Algebra toIntroductory Calculus. Many other problem solving rubrics are available [7]. B. Assessment of Problem
, S. R. (2011, Oct). Teaching practices of engineering faculty: Self-reported behavior and actual practice. Proceedings of the 2011 International Research in Engineering Education Symposium, Madrid, Spain.3. Finelli, C. J., & Millunchick, J. M. (2013). The teaching circle for large engineering courses: A cohort-based model for faculty development. Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, GA.4. Handelsman, J., Ebert-May, D., Beichner, R., Bruns, P., Chang, A., DeHaan, R., Gentile, J., Lauffer, S., Stewart, J., Tilghman, S. M., & Wood, W. B. (2004). Scientific teaching. Science, 304(5670), 521-522.5. Patton, M. Q. (2002). Qualitative research and education methods. Qualitative
supported by the National Science Foundation under Grant No. DRL-1657509and Grant No. DRL-1657519. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] E. Iversen, “Engineering Outreach on Campus,” Washington, DC, 2015.[2] B. M. Capobianco, B. F. French, and H. A. Diefes-Dux, “Engineering Identity Development Among Pre-Adolescent Learners,” J. Eng. Educ., vol. 101, no. 4, pp. 698– 716, 2012.[3] L. Archer, J. DeWitt, and B. Wong, “Spheres of influence: what shapes young people’s aspirations at age 12/13 and what are the implications for education policy?,” J. Educ. Policy
experiences and providing students with the tools they need to succeed after graduating.Dr. Cyril S Ku, William Paterson University Dr. Cyril S. Ku received the B. S. degree in Computer Science from Utah State University, Logan, Utah, USA, in 1980, the M. S. degree in Computer Science and Applications from Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA, in 1982, and the Ph. D. degree in Computer Science from Northwestern University, Evanston, Illinois, USA, in 1989. From 1982 to 1985, he was a Software Engineer in the field of traffic and transportation engineering. He conducted application research in software engineering, databases, and data science as Member of
successful inaccomplishing one of the project goals, which is retention of Scholars supported on NSF STEMScholarships in STEM fields. a b c d eFig. 2: STEM Scholars Program -Professional networking and personal growth activities during 2023. (a)2023 STEM Scholar Recognition Banquet for Cohorts 1 and 2 – April 2023, (b) 2023 Meet and Greetwelcoming ceremony for Cohort 3 – August 2023, (c) Scholars volunteering at the Food Bank Pantry –March 2023, (d) Packing individual food packets from bulk food donations at the Food Bank – October2023, and (e) Painting ceilings at a new Habitat for Humanity
Technology c American Society for Engineering Education, 2016 Developing the Innovative Engagement Scale (IES): An Instrument for the Study of Interactive EngagementAbstractThis paper summarizes the development of the Innovative Engagement Scale (IES; TUES Type1 DUE 1245018). The IES is an assessment instrument designed for researchers to gatherevidence for how innovative instructional strategies impact student interactive engagement andclassroom innovation. The instrument contains open ended and Likert scale items organizedinto five subsections that can be used to gather evidence for three constructs: a) innovativeinstructional strategies, b) interactive engagement, and c) student innovation
professionals return to school for graduatedegrees?,” in Proceedings of the American Society for Engineering Education, June 2012, SanAntonio, TX[5] D. L. Peters and S. R. Daly, “Returning to graduate school: Expectations of success,values of the degree, and managing the costs,” Journal of Engineering Education, vol. 102, no.1, pp. 244 - 268, April 2013, doi:10.1002/jee.20012.[6] E. Mosyjowski, S. R. Daly, A. B. Baker, D. L. Peters, and S. Skerlos, “Engineeringpractitioners in PhD programs: Who are they and why do they return?,” in Proceedings of theAmerican Society for Engineering Education, June 2015, Seattle, WA.[7] E. Mosyjowski, S. R. Daly, D. L. Peters, S. Skerlos, and A. B. Baker, “The PhD advisingrelationship: Needs of returning and
processing challenges. Even though the team picked a very complex design, thestudents successfully slip casted a very detailed Grubby, see Figure 1a. The AIR upon seeing theproduct at the end of the term expressed her appreciation that the team was able to successfullyexecute such a challenging mold that seasoned artists may struggle to execute. Additionally, shestated that this product was a wonderful merger of art and engineering into a creative product. a b Figure 1: Spring 2022 MET 352 scientific and creative competition winners. (a) Slip casted Grubby, the South Dakota Mines school mascot, (b) slip casted mug of the department head (Dr. Michael West).The mug shown in