Conference Session

Electrical and Computer Engineering Laboratory and SoC Developments

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sandip Das, Kennesaw State University; Craig Chin, Kennesaw State University; Sheila Hill, Kennesaw State University

reflect that students found the new labmanuals easier to follow, which provided clear guidance to the students on how and where todocument their experimental and/or simulation results.This demonstrates that our task 1 strategy is successful and implementing lab-specific customized‘datasheets’ are highly effective in providing better guidance to the students. Q3 and Q4 responsesindicate that students subjected to the new lab resources had more clear ideas about the labobjectives and what to do in the lab before coming to the in-person lab sessions. This demonstratesthat our task 2 strategy worked well, which integrated LTspice-based pre-labs that played helpfulrole in preparing the students. Strategically designing pre-labs with LTspice

Conference Session

College Industry Partnerships Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Adrian Gentry; Peter Bermel, Purdue University at West Lafayette (COE); Eric Holloway, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE)

programs are needed toprovide students with exposure opportunities to support student motivation in specific areas ofmicroelectronics. Limitations of the study include the limited variance in sample demographics. Datacollection was limited a singular predominately White, large research institution. With the resultsfound, it is unknown how well the scale reflects the motivation and exposure of raciallyminoritized students. However, the items performed strongly with the original instrumentindicating that the factor structure is likely stable. Additionally, the evaluation of the Motivationand Exposure scales is within the context of an introductory design course therefore the difficultyand discrimination parameters should be evaluated with

Conference Session

Remediation and Curricular Changes to Improve Student Learning and Outcomes

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sandie Han; Boyan Kostadinov, New York City College of Technology; Janet Liou-Mark, New York City College of Technology; Johann Thiel, New York City College of Technology

the success of the redesigned courses.IntroductionNew York City College of Technology (City Tech), located in downtown Brooklyn, is anopen access, non-residential, Hispanic-Serving institution. City Tech, one of the twenty-five colleges in the City University of New York system, provides a diverse multiculturallearning environment, reflecting the demographic diversity of the New York metropolitanarea. According to the Fall 2020 institutional data, twenty-nine percent of the students self-identified as Black non-Hispanic, thirty-four percent as Hispanic, twenty percent as Asian, tenpercent as White, two percent as Other and five percent as Non-Resident. The student bodyreported 151 different countries of origin. Sixty-one percent reported

Conference Session

Construction Engineering Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mohamed Elzomor, Florida International University; Piyush Pradhananga; Rubaya Rahat, Florida International University

, 0.472, 0.000, and 0.084respectively. Since the values of Efficacy of 3D printing module, Robotic machine operationskills, Data Preparation Programming skills, and currently working in the construction industryare less than 0.1, it can be concluded that the hypothesis pertaining to the existence of the truerelationship between dependent and independent variables is correct. Thus, the data isstatistically significant. In Table 1, 𝞵1 is the coefficient of the ordered probit model with thevalues -1.19. This value is the threshold that reflects the predicted cumulative probabilities atcovariate values of zero. Based on the obtained results of regression analysis, there is a positivecorrelation between the efficacy of the 3D printing module and

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Emma Treadway, Trinity University; Jessica Swenson, University at Buffalo, The State University of New York; Melissa Caserto, University at Buffalo, The State University of New York

.[15] N. Kellam, T. Costantino, J. Walther, and N. Sochacka, “Uncovering the Role of Emotion in Engineering Education within an Integrated Curricular Experience,” in 2011 ASEE Annual Conference & Exposition Proceedings, Vancouver, BC, Jun. 2011, p. 22.1560.1-22.1560.11. doi: 10.18260/1-2--18819.[16] I. M. Gómez-Chacón, “Meta-emotion and Mathematical Modeling Processes in Computerized Environments,” in From beliefs to dynamic affect systems in mathematics education, B. Pepin and B. Roesken-Winter, Eds. Cham: Springer International Publishing, 2015, pp. 201–226. doi: 10.1007/978-3-319-06808-4_10.[17] J. Swenson et al., “Consideration for Scaffolding Open-ended Engineering Problems: Instructor Reflections after

Conference Session

ERM: Lessons Learned from COVID (COVID Part 2)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Eleazar Marquez, The University of Texas Rio Grande Valley; Samuel Garcia, NASA EPDC

; d) sensitivity of circumstances surrounding studentsduring COVID-19. The combination of experiential knowledge, post-course reflection andscholarly literature provided a framework through which the model was modified andimplemented.Modified CIRE Strategy 2For this modified strategy, rather than initiating homework sets during the lecture sessions, asestablished in the CIRE model, step-by-step examples were performed during lecture sessions tostrengthen the intuitive nature of solving technical problems. This procedure was enforced topromote problem solving skills during homework sets, rather than students having to depend onthe faculty instructor to initiate problems repeatedly. The step-by-step examples performed duringclass covered major

Conference Session

Experiential Learning in Mechanics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Eric Davishahl, Whatcom Community College; Lee Singleton; Todd Haskell; Kathryn Rupe, Western Washington University

supportmodels. We plan a future study with think-aloud interviews to explore how individual studentsmake use of the models in their learning effort.AcknowledgementThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425, 1834417 and 2022412. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] P. S. Steif and A. Dollár, "Reinventing the Teaching of Statics," International Journal of Engineering Education, vol. 21, no. 4, pp. 723-729, 2005.[2] A. Dollár and P. S. Steif, "Learning modules for statics," International Journal of Engineering Education, vol. 22, pp. 381-392, 2006.[3] J. Lesko, J

Conference Session

ERM: Lessons Learned from COVID (COVID Part 1)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Diana De La Rosa-Pohl, University of Houston; Catherine Horn

country and has been designated a Hispanic Serving Institution(HSI) by the U.S. Department of Education. Within the fall 2019 cohort of first-time-in-college(FTIC) freshman, 50% of the 5,682 students identified as either African American, Hispanic, ormultiracial (44% for STEM). The UH student body also reflects diversity in student economicstatus. In the fall of 2019, 45% of FTIC students were Pell-eligible. Within STEM, 37% ofEngineering, 39% of NSM, and 52% of Technology students were Pell-eligible. Approximately94% of UH FTIC undergraduate students receive financial aid from federal and state sourceswith an average aid amount of $7,061 per year. The average annual cost of attendance (COA) atUH (tuition + fees) for FTIC in-state students is

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Barney Wei, University of Toronto; Mohammadreza Karamsoltani, University of Toronto; RUI ZENG, University of Toronto; Mingyu Zheng, University of Toronto; Hamid Timorabadi, University of Toronto

combination) return the one with the best rating. This rating can be provided by the feedback system in O2. Since users’ ratings can reflect content- relatedness, choosing the best rating will contribute to O3.O4 Maximize compatibility We aim to expand the compatibility to include more types of browsers, like Google Chrome, Safari, Firefox etc.O5 Implement an algorithm that For example, if a user uploads a note file can look into files and break of a lecture 3 that covers two topics

Conference Session

Computer Science

Collection

ASEE Southeast Section Conference

Authors

Ashish Hingle, George Mason University; Aditya Johri, George Mason University

Tagged Topics

Professional Engineering Education Papers

thinking, andsocietal concerns about using technology. The course also addresses privacy, surveillance, andautomation, in addition to innovative research on topics such as "Digital Twins."Data CollectionThe initial class session broadly introduced the topics covered throughout the course. However,the first class did not define the concepts addressed in this study in detail or provide additionalresources. Data for this study were collected in the first week of the course during a fall 2022iteration. Students completed a reflection assignment to gauge their understanding of AI conceptsand what influenced their knowledge before being exposed to the course topics. The questionsposed to the students were left open-ended to allow students to provide

Conference Session

First Year and Cross-Disciplinary

Collection

ASEE Southeast Section Conference

Authors

Gregory J. Mazzaro, The Citadel; Kevin Skenes, The Citadel; Timothy Aaron Wood P.E., The Citadel

Tagged Topics

Professional Engineering Education Papers

, MathCAD) [4]. 4AssessmentGraded assignments may consist of individual written homeworks, group projects, and quizzes;traditional written exams are generally avoided. Students might keep a weekly journal ofreflections, e.g. regarding campus activities in which they have participated or academicdifficulties they have encountered and overcome [4]. Ambitious programs ask each student tocreate a portfolio of work (including narrated audio/video reflections) which helps him/her toidentify as an engineer [10].Most published literature recommends that a large portion of first-year students’ grades be basedon projects -- generally team efforts [5, 6, 10, 18, 20–23]. Assignments can tie back to aunifying

Conference Session

Communications and Ethics

Collection

ASEE Southeast Section Conference

Authors

Claire Lynne McCullough, High Point University

Tagged Topics

Professional Engineering Education Papers

., rights, autonomy, hon- esty, coercion, loyalty, selfishness, character, duty, utility, fairness, etc.). • Distinguish morally relevant facts in a scenario from facts that are not morally relevant in a scenario. • Reflect critically on their own values in light of alternatives. • Apply ethical theories to contemporary or hypothetical scenarios.2 © American Society for Engineering Education, 2023All of these would be appropriate as learning outcomes in an engineering ethics course, andcould easily be met in such a course. However, it is required that these be met from a liberal artsperspective—that is, in terms of “rigorous traditions of philosophical inquiry”2, which is not themost effective tool

Collection

2023 Rocky Mountain Section Conference

Authors

Hongyan Liu

find certain design equations in Code 6.07 Know the structure of the Code 5.66 Be able to solve examples and homework problems in textbook 5.03 Understand the reason behind formula in Code and how to 4.34 derive them Learn how to read and understand Commentary of the Code 5.55 Discuss and compare different version of the Code 3.41Similarly, another survey question has the students use the same rating system on the helpfulnessof different learning activities typically employed in a design class. The results from thisquestion are listed in Table 2. It is apparent that students saw value in collaborative work, whichis reflective of

Conference Session

Construction Engineering Division Technical Session 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Fernando Romero Galvao, University of Massachusetts Amherst; Luciana Debs, Purdue University Programs

graduates.Furthermore, our experience prompts questions about Construction Capstone Courses in generalfor future reflections: First, is what we are teaching in the capstone course enough forconstruction companies? Second, what are the primary skills that the construction companiesare looking for? Third, do our students know how to express their opinions in a meeting, write areport, make a presentation, work in a team, and finally, know about ethics and compliance?Further studies could explore an updated analysis of key competencies (from industry andacademics) used in capstone simulations; and a broad study on construction students' writingand soft skills perceptions and performance. Both studies could help guide improvements ininstruction, specifically at the

Conference Session

Incorporating Technology in the Classroom

Collection

2022 ASEE Annual Conference & Exposition

Authors

John Sanders, California State University, Fullerton; Serop Kelkelian, California State University, Fullerton; Markus Wieser; Guenter Bischof, Joanneum

general, when a tensor of rank r > 1 operates on atensor of rank p < r, the result is a new tensor of rank r − p.The algebraic and geometric approaches are mathematically equivalent in that they yield the samecomputational results and it is straightforward to deduce the transformation rule (1) from thegeometric definition [3]. It is perhaps a reflection of human psychology, then, that the academiccommunity has become so staunchly divided between the two approaches. Indeed, the rift datesback to the formulation of relativity theory. According to Norton [12], In Einstein’s hands, Lorentz covariance was a purely algebraic property. Space and time coordinates were, in effect, variables that transformed according to certain

Conference Session

WIED: Partnering with and Supporting the WIED Community

Collection

2022 ASEE Annual Conference & Exposition

Authors

Carol Marchetti, Rochester Institute of Technology (COE); Margaret Bailey, Rochester Institute of Technology (COE); Iris Rivero; Jessica Bennett; Gloria Blackwell

forpartner schools over Zoom and through occasional site visits from members of the projectleadership team. Each partner institution will develop a dynamic OAP, which will be woven intoour interactive workshops and supported in coaching sessions. A Women of Color (WOC)Council and a DHH Women Council have been established within the project and will provideinput and feedback to inform workshops and materials. Each council has established terms ofreference, a dynamic document created with project leadership that sets expectations andresponsibilities for the council and for project leadership.In future papers, we will report on project activities, outcomes, impacts, and reflections from keyproject personnel.Next StepsThe roll-out plan for the project

Conference Session

Instrumentation Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Byul Hur, Texas A&M University; Carter Wheat, Texas A&M University; Zachary Stokes; Keith Fritz; Hunter Street; Xuan Dang; Kevin Myles; Zach Adelman

stored and will be able to answer questions about the water’s clarity and potentialstagnation. The three probes are for measuring temperature, dissolved oxygen content, and pH. Theseproperties reflect the quality and condition of the body of water and are important fordetermining if the water is able to host mosquito breeding. Moreover, for a water samplingpump, a stepper motor is used and it is operated as a part of a peristaltic pump. In order tooperate the pump, additional Arduino Nano is used. For motors, Propdrive 2836 brushless motors were chosen to provide sufficient power to liftthe drone and its payload. This decision on motors is related to the choice of 40A ESCs (ESCElectronic Speed Controllers). Some other peripherals we have on

Conference Session

Minorities in Engineering Division Technical Session 6

Collection

2022 ASEE Annual Conference & Exposition

Authors

Tahir Khan; Denise Whitford, Purdue University at West Lafayette (COE); Lisa Lambert Snodgrass, Purdue University at West Lafayette (COE); Lisa Bosman, Purdue University at West Lafayette (PPI); Sunnie Watson, Purdue University at West Lafayette (COE)

timeframesestablished by the institution. Identifying student progress and outcomes for learning andteaching has long been a source of contention. Outcome-based education models emphasizestudent learning through actions that reflect competencies in the use of skills, content, ideas,information, and tools [18], [20]. This model differed from the traditional model in that it wasmore focused on students than on teaching methods and delivery systems. For example, in anoutcome-based model, teaching methods change dynamically in response to the student's skilland abilities rather than a fixed timeframe and schedule.Competency-based Education (CBE) Model is the next step in this movement [18]. CBE isdefined in a variety of ways by various researchers. Le Wolfe and

Conference Session

Minorities in Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hongye Liu, University of Illinois at Urbana - Champaign; Deepak Moparthi, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Jennifer Amos, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Sujit Varadhan, University of Illinois at Urbana - Champaign; Rebecca Reck, University of Illinois at Urbana - Champaign; Yun Huang

practices, and the status of their knowledge and skills inthis area. Our survey did not receive enough responses from faculty members for such analysisalthough we did reach out through new faculty training and professional meetings and massemail. The authors suggest this lack of interest may reflect the ongoing difficulty of raisingawareness about accessibility concerns among faculty at large. In the future, we plan to developmaterials and example modules to help faculty adopt UDL design principles in their coursesusing practices adapted from [18]. For example, there will be in-built accessibility surveys inLMS to onboard students with university provided accommodations as well as assess the needsof students who may need accommodations but do not

Conference Session

ERM: Instruction and Engagement

Collection

2022 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-SÁNchez, Tecnologico de Monterrey (ITESM); Miguel X. Rodriguez-Paz, Tecnologico de Monterrey (ITESM); Cecilia Nuñez, Tecnologico de Monterrey (ITESM)

. Class contents were arranged in Mentimeter as shown in Fig 1, where theoreticaland practical contents were explained by the teacher and rehearsed by students withpractice questions and exercises, anonymously answered by the students.Fig. 1 Screenshots of real time interactive presentation and anonymous collaboration methodologyAs a strategy to trigger class participation, students solved exercises anonymously, sharingtheir answers and reflections with their classmates using the online platform. After eachexercise, teacher provided feedback and anonymous questions were collected, again toencourage students to clarify concepts and solve doubts without feeling intimidated byasking in front of their peers.Moreover, during the content delivery

Conference Session

Minorities in Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Amir Hedayati Mehdiabadi, University of New Mexico; Elizabeth Moschella-Smith, University of New Hampshire; Mala Htun

under Grant No.2000448. 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. ReferencesBerry, A. N., & Yarbrough, J. R. (2019). Online commentary regarding workplace harassment. Journal of Organizational Psychology, 19(6), 107-124.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.Charmaz, K. (2005). Grounded theory in the 21st century: A qualitative method for advancing social justice research. Handbook of qualitative research, 3, 507-535.Chawla, N., Wong, E. M., & Gabriel

Conference Session

ERM: Persistence and Attrition in Engineering

Collection

2022 ASEE Annual Conference & Exposition

Authors

Cassie Wallwey, The Ohio State University; Giselle Guanes, The Ohio State University; Tyler Milburn, The Ohio State University; Jeremy Grifski, The Ohio State University

undergraduate degree in Computer Engineering at Case Western Reserve University and went on to work for General Electric Transportation as a part of their Edison Engineering Development Program. In 2020, Jeremy completed a Master's in Computer Science and Engineering under Dr. Atiq and is currently completing a PhD in Engineering Education under Dr. Dringenberg. His research interests include exploring ideological beliefs as a reflection of tech culture. In his free time, he enjoys watching hockey, writing about programming languages, and playing video games.Tyler Milburn Tyler Milburn is a PhD Candidate in Ohio State's Engineering Education program. His dissertation research focuses on how student motivation to persist in

Conference Session

First-Year Programs Division Technical Session 14: Introductory Programming Assessment, Plagiarism, Motivation, Engagement, and Textbooks

Collection

2022 ASEE Annual Conference & Exposition

Authors

Breejha Quezada, Purdue Engineering Education; Tamara Moore, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE); Amanda Johnston, California Polytechnic State University, San Luis Obispo; Emily Haluschak, Purdue University at West Lafayette (COE); Gavin Bidna, Purdue University at West Lafayette (COE)

success and increase interestin microelectronics, with potential application for other niche fields. Although the integration ofa novel context in existing course content is an accepted practice in engineering education itwould be interesting to see how this works in FYE programs with fields outside ofmicroelectronics.AcknowledgementsWe acknowledge support from the U.S. Department of Defense [Contract No. W52P1J2093009].Any opinions, findings, and conclusions or recommendations conveyed in this study are those ofthe authors and do not necessarily reflect the views of the Department of Defense.References[1] S. Tzanova, “Microelectronics skill alliance – Need analysis of microelectronics sector,” 2021 12th National Conference with

Conference Session

DEED Technical Session 2: Postcard Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Davor Copic, United States Coast Guard Academy; Nathan Barnes, United States Coast Guard Academy; Joshua Pennington, United States Coast Guard Academy; Alexandria Bass; Joseph Camean, United States Coast Guard Academy; Richard Freeman, United States Coast Guard Academy

means andstandard deviations (SD). These summary results are shown Table 4. The difference in both designand feature novelty between CB levels is compared using the Student’s t-Test, and, in all cases, foundnot to be statistically significant at an alpha value of 0.1. This is suggestive of design novelty notplaying a role in the performance of the boats, at least as measured by CB level. The reason for this isnot clear, but it may reflect the limitation of CB as a performance metric. Table 4. Novelty mean and SD per boat feature grouped by performance. Block Hull shape Bow shape Stern shape Structure Design novelty coefficient Mean

Conference Session

Biomedical Engineering Division: Integrating Design Across the BioE/BME Curriculum

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mostafa Elsaadany, University of Arkansas; Mary Jia, University of Arkansas; Jordan Crosby, University of Arkansas; Raj Rao, University of Arkansas

relationto CAD-related software and simulations were heavily biased toward no experience (Figure 4),which confirms that students are not likely to have used SolidWorks in their undergraduatecareer prior to this Sophomore class. Notably, the students in this study were not included in thecohort that was provided a SolidWorks module in the intro course for biomedical engineeringand has yet to take the Senior Design course that typically requires SolidWorks for prototyping.Therefore, their curriculum up to this point has included zero basic SolidWorks training and thedistribution of students with training in 3D design reflects this.For questions gauging likeliness to use SolidWorks in students’ future careers and studentinterest in SolidWorks

Conference Session

Session 11 - Track 1: "Emotions can hinder Professional Experiences:" Emotional states of first-generation engineering students when introduced to hidden curriculum

Collection

2023 Collaborative Network for Computing and Engineering Diversity (CoNECD)

Authors

R. Jamaal Downey, University of Florida; Idalis Villanueva Alarcón, University of Florida; Victoria Beth Sellers

Tagged Topics

CoNECD Paper Sessions, Diversity

qualitative in nature, scope, and results. They serve thepurpose capturing a more in-depth snapshot and understanding of previously unknown socialphenomenon [26]. While we understand that open-ended short answers are not as detailed asother forms of qualitative methods (ethnography, participant observation, etc.), the creators ofthe survey placed a heavy emphasis on capturing a large set of data to compensate for theperceived lack of detail.AcknowledgementsThis material is based upon work supported by the National Science Foundation (NSF) No.EEC-1653140 and 2123016 given to the second author. Any opinions, findings, and conclusionsor recommendations expressed in this material do not necessarily reflect those of the NSF. Wewant to give a special

Conference Session

Session 5 - Track 1: Introducing the C2West Framework for Analyzing Assets of Black Undergraduate Students in Engineering

Collection

2023 Collaborative Network for Computing and Engineering Diversity (CoNECD)

Authors

Jessica Allison Manning, Clemson University; Catherine E. Brawner, Research Triangle Educational Consultants; Aimee Sayster; Catherine Mobley, Clemson University; Marisa K. Orr, Clemson University; Rebecca Brent, Education Designs, Inc

Tagged Topics

CoNECD Paper Sessions, Diversity

Science Foundation under Grant No.1734347. 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] L. P. Davis and S. D. Museus, “What Is Deficit Thinking? An Analysis of Conceptualizationsof Deficit Thinking and Implications for Scholarly Research,” NCID Currents, vol. 1, no. 1,Nov. 2019, doi: 10.3998/currents.17387731.0001.110.[2] A. Bruton and R. A. Robles-Piña, “Deficit thinking and Hispanic student achievement:Scientific information resources,” Problems of Education in the 21st Century, vol. 15, p. 41,2009.[3] J. McKay and M. Devlin, “‘Low income doesn’t mean stupid and destined for failure

Conference Session

Student Division Technical 2: Instruction & Learning Delivery

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ibukun Osunbunmi, Utah State University - Engineering Education; Ning Fang, Utah State University

review, identifying the scope and statingthe research questions, defining inclusion criteria, finding and cataloging sources, critiquing andappraising, and synthesizing [3]. Other authors have suggested steps that are involved inconducting a systematic review [1, 4, 5, 6].Project-based learning processes are “learning by absorption” and “learning by reflection” [7]. Ithas been suggested that there are 13 forms of project-based learning including “communitystudies, designing technological gadgets, environmental projects, expeditionary projects, fieldstudy, foxfire approach, micro-society studies, museum approach, problem-based approach,project approach in early childhood education, senior project approach, service learning, andwork-based learning

Conference Session

Statics Fanatics 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sridhar Condoor, Saint Louis University; Sanjay Jayaram, Saint Louis University; Jalil Kianfar, Saint Louis University

addressingthe lowest common denominator students and not challenging advanced students, designproblems provide differential learning opportunities that empower weak and advanced studentsin stretching their thinking abilities. Research questions help students explore the areas of theirinterest and learn state-of-the-art technology while reflecting on their findings. Table 3. Example of design projects and research experiences Sample Design Project Asymmetric Equilibrium - Design an aesthetic, efficient and economical Design structure with the problems inspiration from the concepts of equilibrium, center of gravity

Conference Session

Student Division Technical 3: Mixed - Research, Engineering Design, Design Thinking, and Curriculum Design

Collection

2022 ASEE Annual Conference & Exposition

Authors

Julia Brisbane, Virginia Polytechnic Institute and State University; Jeremi London, Virginia Polytechnic Institute and State University; Kingsley Reeves, University of South Florida

the aim todetermine the extent to which tolerance for ambiguity can be influenced by introducing thedesign process in an introductory probability and statistics course to help deal with uncertainty.AcknowledgementsThis work is supported by the U.S. National Science Foundation award #2106242. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] “Grand Challenges - 14 Grand Challenges for Engineering.” http://www.engineeringchallenges.org/challenges.aspx (accessed Jan. 31, 2022).[2] C. J. Atman, O. Eris, J. McDonnell, M. E. Cardella, and J. L. Borgford-Parnell, “Engineering Design Education