Conference Session

First-year Programs: Teams and Teamwork

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Siqing Wei, Purdue University, West Lafayette; Rui Wang, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Gaurav Nanda, Purdue University, West Lafayette

Tagged Divisions

First-Year Programs

instructed to write constructive self-reflection and feedback to other team members based on a validated teamwork behavior modelthat was introduced and assessed via CATME [21].In our formulation, our problem is to determine whether a word in a sentence is the name of aperson. We can perform such analysis from two perspectives. One is a cloze-like task wheregiven the context of the word of interest, we can make predictions on the grammatical andsemantical representations, and the other is to perform classification on words with character-level information. To extract as much information as possible, we need to leverage both word-level and token-level information. We propose to use a machine learning model, an ensemble of5 models trained on different

Conference Session

Empathy and Human-Centered Design 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abbas Ghassemi, University of California, Merced; Christopher A. Butler, University of California, Merced; Marina Shapiro

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

beenmeasured through the use of student surveys and improved student passing rates [16]. Within theHCRD course various methods to ensure student knowledge gains and perceptions towards theircareer preparedness and progress towards degree completion will be assessed through pre andpost-semester surveys, reflections, and final exam/presentation scores. At the two south valleycampuses, students will be primarily be assessed to identify the length to which FC-E-POGILpedagogy is successful in improving knowledge gains. The impact of the two pedagogies onknowledge gains will be evaluated by conducting a one-way repeated measure analysis ofvariance (ANOVA). The ANOVA analysis will assess the difference in participants’ summativeknowledge gains based on final

Conference Session

First-year Programs: Core Skills

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Anthony T. Cahill, Texas A&M University; Andrea M. Ogilvie P.E., Texas A&M University; Mark Weichold, Texas A&M University

Tagged Divisions

First-Year Programs

, with additional members from the math department.The committee for the mechanics course (ENGR/PHYS 216) was comprised of faculty from thecivil, mechanical, and aerospace engineering departments, as well as members from the physicsdepartment. Likewise, the committee for the electromagnetism course (ENGR/PHYS 217)consisted of faculty from the electrical engineering department and physics department. Thedifferent faculty appointed to these committees took different levels of ownership of the work.These differing levels of involvement meant that the vision of some faculty members was morestrongly reflected in the committees’ final work.The implementation committees were formally independent of each other, save for the constraintthat the later

Conference Session

Improvements in ECE Circuit Analysis

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kun Yao, University of Georgia; Adel W. Al Weshah, University of Georgia; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Electrical and Computer

of their own knowing orunderstanding (Schraw, 1998). Such self-awareness reflects in their awareness ofcontent, task and strategic knowledge that are germane to learning (Fin & Tauber,2015). For example, students should be able to monitor and recognize how well theyunderstand engineering content knowledge, calibrate the difficulty level of thelearning tasks, and recognize what strategic learning skills they would need tosucceed (Dunlosky & Rawson, 2012).Research suggests that the levels of students’ self-awareness and self-confidencecould positively or negatively affect learning (Finn & Tauber, 2015). For example,Dunlosky and Rawson found that inaccurate self-evaluation undermines learning andretention (Dunlosky & Rawson

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abbas Ghassemi, University of California, Merced; Christopher A. Butler, University of California, Merced

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

towards degree completion will be assessed through pre andpost-semester surveys, reflections, and final exam/presentation scores. At the two south valleycampuses, students will be primarily be assessed to identify the length to which FC-E-POGILpedagogy is successful in improving knowledge gains. The impact of the two pedagogies onknowledge gains will be evaluated by conducting a one-way repeated measure analysis ofvariance (ANOVA). The ANOVA analysis will assess the difference in participants’ summativeknowledge gains based on final exams and presentations as the summative assessment method ateach respective campus. Institutional data on student’s majors and progress towards graduationand will indicate if participation in these courses helps meet

Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Beata Johnson, Purdue University, West Lafayette; Joyce B. Main, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

that ourapproach can be replicated in other fields and other student populations.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants1842166 and 1329283. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. We thank the SPHERE research group for their helpful feedback.References[1] S. Kovalchuk, M. Ghali, M. Klassen, D. Reeve, and R. Sacks, “Transitioning from university to employment in engineering: The role of curricular and co-curricular activities,” in 2017 ASEE Annual Conference & Exposition, 2017.[2] R. Korte, S. Brunhaver, and S. Zehr

Collection

Proceedings of the 2020 ASEE PSW Section Conference, canceled

Authors

Nicholas Hosein, UC Davis; Lee Michael Martin, University of California, Davis; Andre Knoesen

Tagged Topics

Diversity

. flipped a transportationengineering course and used questionnaires and class video recordings to show students had apositive view toward the change. The more broadly defined, blended learning method combinesface-to-face interaction with online tools in a general sense. In order to better teachentrepreneurial skills to students, Sidhu et al. incorporated a mock startup company course whichtakes students from concept to low tech demo. By shifting focus away from the time consumingtechnical details, more teamwork, self-reflection, and inductive learning could be taught. In a verydifferent approach Weaver et al. used a series of case studies of existing startups to give students amore holistic view of what it takes to bring an innovation to market

Collection

2020 ASEE North Central Section conference

Authors

Chandika Annasiwatta, Muskingum University; Sandra Soto-Caban, Muskingum University

activities in the course includes project updates or status reports, preliminaryproject report and oral presentation, and final project report and poster presentation. All thewriting activities are connected to the design problem. Iterations and revisions of their work arerequired. The process of returning to the same core of information for each of the reports andpresentations encouraged the students to reflect upon the feedback and evaluation given andaddress challenging issues in the current report or presentation they were working on. Thisallows students to build on learning at the same time they apply their engineering skills to solvethe problem. At the end of the course, students were also required to present their projects to thecampus

Collection

2020 ASEE North Central Section conference

Authors

Joseph Dygert, West Virginia University; Melissa Lynn Morris, University of Nevada - Las Vegas; Robin A.M. Hensel, West Virginia University

Tagged Topics

Diversity

GrantNo. 1644119. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] J. Kruger, and D. Dunning, “Unskilled and Unaware of It: How Difficulties in RecognizingOne’s Own Incompetence Lead to Inflated Self-Assessments,” Journal of Personality and SocialPsychology, vol. 77. pp. 1121-1134. 2002.[2] A. Duckworth and P. Quinn, “Development and validation of the Short Grit Scale (GRIT-S),”Journal of Personality Assessment. vol. 91 no.2, pp.166-74, Feb. 2009.[3] A. Duckworth, C. Peterson,M. Matthews, and D. Kelly, “Grit: Perseverance and Passion forLong-Term Goals,” Journal of Personality and Social

Collection

2020 ASEE North Central Section conference

Authors

Sanish Rai, West Virginia University Institute of Technology

it immediately thus not causing grading bottlenecks at theend of the lab. Furthermore, the implementation of approaches such as peer-programming couldreduce the grading time using this method significantly.ConclusionIn this work, immediate one-on-one grading feedback methodology was implemented inIntroductory computer science programming labs. The method showed improved experience instudent's programming learning and communication skills compared with the traditional methodof grading and writing comments online for students to receive at a later time. This method allowedstudents to reflect immediately on their code and improve it, as well as learn better ways of writingcode. Students also practiced communicating their source code and

Collection

2020 ASEE North Central Section conference

Authors

Kristin Brewster, West Virginia University; Patrick O'Donnell

fall semester GPA has been higher than the fall of the previous year.This change could be attributed to new programming that was revolved around academics.Credit for this change could also be given to the fact that each fall the LLCs get a new group ofstudents. Since spots are limited to the first students that sign up, students that achieve higheracademically could have been recruited.Even though the Engineering LLC Council is constantly reflecting on past and current practices,it’s hard to draw a correlation between programming and student achievement.ConclusionAs with many programs within Residence Life, it’s hard to pinpoint exactly what effects studentperformance or data. However, with the rising average GPA each fall, its hard to deny

Collection

2020 First-Year Engineering Experience

Authors

Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel

engineering; therefore, strategiesto build self-efficacy may prove to encourage persistence of diverse groups in engineering.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1741611: Encouraging Civil Engineering Retention through Community and Self-Efficacy Building. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NSF.References[1] A. Baisley and V.D. Adams, "The Influences of Calculus I on Engineering Student Persistence," ASEE Annual Conference and Exposition, Tampa, FL, 2019. Avaialable: https://peer.asee.org/33386.[2] N. W. Klingbeil and A. Bourne, "A National

Collection

2020 First-Year Engineering Experience

Authors

Samuel John, Wayne State University; Cameron Hanson, Wayne State University; James Lenn, Wayne State University; Marcis Jansons P.E., Wayne State University; Jeffrey Potoff, Wayne State University

moreenhanced and innovative projects.CONTROL MODULESThese modules implement algorithms which control actuators and indicators based on user andsensor inputs. An example is the algorithm which monitors inputs from an ultrasonic sensor andraises a drawbridge when a vessel is detected at a predetermined distance from the bridge. Thedistance measuring capability is based on the reflection of sound waves. The time interval betweentransmission of a pulse and the reception of its echo determines the distance which is calculatedas: Speed of sound ∗ time Distance = (1) 2Based on calculated

Collection

2020 Gulf Southwest Section Conference

Authors

Diana de la Rosa-Pohl; Catherine Horn

level of student engagement andhence student performance and persistence putting them on a path to graduation in STEM. Butfurther research is needed to meaningfully assess this assumption. Broadly, this work stands toinfluence the recruitment and retention of science and engineering undergraduates and give insightinto broadening participation in STEM. The investigators project that this work will aid in the designof transferable interventions that other universities can model.This material is based upon work supported by the National Science Foundation under Grant No.1742579. Any opinions, findings and conclusions or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National

Collection

Proceedings of the 2020 ASEE PSW Section Conference, canceled

Authors

Liya Grace Ni, California Baptist University; Larry W. Clement P.E., California Baptist University; Ilyoul Lee, California Baptist University

reflecting on the Introduction to the Internet of Things course offered three times sofar at SAVC, the authors consider the following lessons learned not only worth sharing withinstructors of a similar course, but could also be beneficial to those teaching engineering coursesin a non-English-speaking country. • The topics to be covered must be selective within the three week intensive course format. The purpose of this course is to expose students to the key concepts of IoT and stimulate their interest in learning more advanced courses, rather than helping them gain thorough understanding of the technical details. • Student engagement and motivation to continue learning was substantially greater after the focus

Collection

2020 Fall ASEE Mid-Atlantic Section Meeting

Authors

Jan Cannizzo, Stevens Institute of Technology

doingthis, instructors may wish to provide students with brief feedback on their work.Grading pre-class exercises, which can wait until after class, is again very straightforward:Students’ work should be graded for completion and seriousness of effort. A +/✓/− gradingscale should again be sufficient for this purpose. Since the pre-class exercises are thoroughlydiscussed in class, there is no need to provide feedback when grading. It thus takes seconds tograde each assignment.Post-class homework, which is intended to reflect the final level of achievement of each student,should be graded carefully for completion, correctness, and clarity of reasoning. Providingdetailed feedback is highly recommended.Conducting classTo prepare for class, the

Collection

2020 Fall ASEE Mid-Atlantic Section Meeting

Authors

Dov B Kruger, Stevens Institute of Technology (School of Engineering and Science); Gail P Baxter, Stevens Institute of Technology

continue to collect data in a number of classes as assessments are written, and attempt toquantify the effect of scaffolded assessments on learning to program in a number of courses.One problem administering these kinds of questions is that existing assessment software inlearning management systems tends to destroy the format of questions to the point wherestudents find the code incomprehensible. In order to be effective, assessments must be reliable,accurately reflecting the knowledge and skills they claim to test, and the software must allow fastand efficient generation of as many assessments as needed to give students practice solving newproblems, not merely memorizing answers from previous ones. Current tools such as Canvasactively obstruct

Conference Session

CoNECD Session : Day 2 Slot 2 Technical Session 3

Collection

2021 CoNECD

Authors

Brielle Nikole Johnson, Miami University; Woo J. Kim, Miami University; Jennifer Blue, Miami University; Amy Summerville, Kairos Research; Brian P. Kirkmeyer, Miami University

Tagged Topics

CoNECD Paper Submissions, Diversity

Regret Elements Scale:Distinguishing the affective and cognitive components of regret,” Judgment and DecisionMaking, 11(3), pp. 275-286, 2016.[5] C. Saffrey, A. Summerville, and N.J. Roese, “Praise for regret: People value regret aboveother negative emotions,” Motivation and Emotion, 32(1), pp. 46-54, 2008.[6] N.J. Roese, G.L. Pennington, J. Coleman, M. Janicki, N.P. Li, and D.T. Kenrick, “Sexdifferences in regret: All for love or some for lust?” Personality and Social Psychology Bulletin,32(6), pp. 770-780, 2006.[7] K.D. Markman, M.N. McMullen, and R.A. Elizaga, “Counterfactual thinking, persistence,and performance: A test of the reflection and evaluation model,” Journal of Experimental SocialPsychology, 44(2), pp. 421-428, 2008.[8] J. Reb and

Conference Session

CoNECD Session : Day 1 Slot 3 Technical Session 4

Collection

2021 CoNECD

Authors

Leisa D. Thompson, University of Virginia; Zhen Wu

Tagged Topics

CoNECD Paper Submissions, Diversity

collecting more qualitative intervention data and quantitative outcomedata to examine the Undergraduate Systemic Change Model.References[1] Wigfield, A. and Eccles, J. S. “Expectancy-Value Theory of Achievement Motivation,” Contemporary Educational Psychology, vol. 25, no 1, pp. 68-81, Jan. 2000.[2] Bandura, A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.[3] Goffman, E. “On face-work: An analysis of ritual elements in social interaction,” Reflections, vol. 4, no. 3, pp. 7-13, Spring 2003.[4] Aronson, J. “The threat of stereotype,” Educational Leadership. vol. 62, no. 3, pp. 14-19, Nov. 2004.[5] Rudman, L.A., Ashmore, R.D. and Gary, M.L. “’Unlearning

Conference Session

CoNECD Session : Day 1 Slot 3 Technical Session 1

Collection

2021 CoNECD

Authors

Leila Zahedi, Florida International University; Hossein EbrahimNejad, Purdue University at West Lafayette (COE); Monique S. Ross, Florida International University; Matthew W. Ohland, Purdue University at West Lafayette (COE); Stephanie J. Lunn, Florida International University

Tagged Topics

CoNECD Paper Submissions, Diversity

minoritization offemale students and some ethnicities/races, especially Black and Hispanics, in computing fields isan important topic that has garnered attention within universities and programs (Digest ofEducation Statistics).This shortage of computing professionals and the disparities between groups has made educationresearchers more reflective about strategies to attract and retain more students in computing fields,so as to keep pace with industry demands [6]. The persistence of students who have a contact in agiven program is a promising place to consider, because it not only includes the students whomatriculated in a computing discipline, but it also includes transferred students in addition to theones who ever showed interest in that program

Conference Session

CoNECD Session : Day 1 Slot 8 Technical Session 4

Collection

2021 CoNECD

Authors

Mauro Rodriguez Jr, California Institute of Technology; Indhira María Hasbún, Florida International University; Jose Luis Estrada, University of San Diego; Dora Louise Renaud

Tagged Topics

CoNECD Paper Submissions, Diversity

given the NILA’s leadership framework and curriculum focus onthe development in these areas. The average mean for leadership self-efficacy increased from 4.0to 4.3. The increase was significant, and it shows that NILA had a measurable positive effect.Nevertheless, the effect may or may not be sustainable. Most of the change was explained by thelower values (pre-test minimum=2.6, post-test minimum=3.0), which is reflected in a smallerstandard deviation for the post-survey. This shows that the effect may be larger for those whocome in with lower self-efficacy than those who are already confident in their abilities. While thesample size was small, the EFA analysis is statistically significant to tentatively support ourhypothesis. However, this can

Conference Session

Biomedical Engineering Postcard Session (Best of Works in Progress)

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nicole L. Ramo, Shantou University; Aileen Huang-Saad, Northeastern University

Tagged Divisions

Biomedical Engineering

Education, 2021 Work-in-Progress (WIP): Exploring the Relationships between BME Student Perception of the Field and Career PlansIntroduction Biomedical engineering (BME) programs attract students with a range of post-graduationaspirations including medical school, graduate school, engineering-focused industry,biotechnology-focused industry, etc. [1]–[3]. This diversity in how students aim to utilize theirBME degree may reflect diversity in their motivation to study BME, their educationalexpectations, and even their perception of the field [2], [4]. Understanding the relationshipbetween these factors would allow BME programs, at both the curricular and individual courselevels, to better balance students’ interests and

Conference Session

Construction Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Krishna Prasad Kisi, Texas State University; Kimberly Grau Talley P.E., Texas State University; Snigdha Rangineni, Texas State University; Guntulu S. Hatipkarasulu, Texas State University; Bobbi J. Spencer, Texas State University

Tagged Divisions

Construction Engineering

as an extra credit work forfreshmen who are enrolled in pre-construction courses. Based on the evaluation of the PCLG, wewill modify existing modules while continuing to add scenarios. We expect to implement thisonline game in the upcoming academic year. After the successful outcome of the hypothesis test,the game will be introduced to other STEM majors.AcknowledgementsThis material is based upon work supported by Texas State University Big Ideas. Any opinions,findings, and conclusions expressed in this material are those of the authors and do notnecessarily reflect the views of the Texas State University Big Ideas.ReferencesAlhaddab, T. & Alnatheer, S. (2015). Future scientists: How women’s and minorities’ math self-efficacy and science

Conference Session

Works in Progress in Chemical Engineering Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Brad Cicciarelli, Louisiana Tech University; Eric Sherer, Corteva Agriscience; Marisa K. Orr, Clemson University

Tagged Divisions

Chemical Engineering

feedbackregarding students’ choice to attend the camp, concerns about the sophomore year, reasons forchoosing the chemical engineering major, as well as specific feedback about the camp fromthose that attended. This information can be used to improve the camp and/or the sophomoreexperience.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2025035. 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 ScienceFoundation. The authors would like to thank Dr. Timothy Reeves, Mr. Baker Martin, and Mrs.Catherine Belk for their input and discussions on this work and for reviewing drafts of

Conference Session

Design Across Curriculum 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew Lucian Alexander P.E., Texas A&M University - Kingsville; Rajashekar Reddy Mogiligidda, Texas A&M University - Kingsville; David Hicks, Texas A&M University - Kingsville

Tagged Divisions

Design in Engineering Education

material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References1. Kendall, M. R., Choe, N.H., Denton, M., Borrego, M., (2018). “Engineering IdentityDevelopment of Hispanic Students.” ASEE Annual Conference and Exposition, ConferenceProceedings, 2018.2. E-mail from TAMUK Office of Institutional Research and Assessment, February 24,2021.3. Prince, S.P., Tarazkar, Y., (2013) “Mechanical Engineering Design Experience forHispanic and Low Income Students.” ASEE Annual Conference and Exposition, ConferenceProceedings, 2013.4. Meyers, K., Cripe, K. (2015) “Prior educational experience and gender influences onperceptions of a first-year engineering design project.” International

Conference Session

Environmental Engineering Division Technical Session 2: Innovative Approaches for Teaching Environmental Engineering

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tomeka Carroll, University of Virginia

Tagged Divisions

Environmental Engineering

temperature by 1.5 degreesCelsius in order to ensure the continued life on our planet. Many nations have made impacts to becarbon neutral / net zero carbon by 2050. Policies such as the New Green Deal, Paris Agreementoutline initiatives to meet the goal. This requires not only behavior change on a national, butindividual level as well. On a local level, policies are in place to guide behaviors to a more efficientsociety.Closing the Loop: How Closed Loop Engineering Reflects Innovative Practices withinCircular EconomiesTechnological innovations drive our ability to adapt to the ever-changing demands of society,which have become increasingly complicated by the aforesaid environmental concerns. Thishas proven true whether one examines the era of the

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Bonnie Achee, Southeastern Louisiana University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

. videos, virtual tours, websites) were offered surrounding that themeand awarded badges for participation/viewing, thus adding another element of gamification.Numerous questions in the CTF reflected the content offered. The CTF opened each day uponthe completion of the synchronous component and remained open until midnight. Figure 2 Sample Capture The Flag (CTF) CluesSynchronous DeliveryThe focus of the synchronous portion of the camp was to immerse the students in a “real world”simulation of a cyber crime there by introducing the concept of cyber security and developingthe skills of research and analysis, critical thinking, teamwork and written and oralcommunication which are

Conference Session

Efforts to Understand and Support Students' Socioemotional Factors

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joana Marques Melo, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

] participants, ResearchExperiences for Undergraduates [REU] or Research Experience and Mentoring [REM]participants, Young Scholar Program participants).This study brings particular challenges in development and implementation that we discuss in therest of this paper. In particular, program evaluation often focuses on immediate or outcomessome time after the event (often up to 6 months). In this study, we take advantage of the unusuallength of the ERC grant duration (10 years) to be able to reflect on the long-term impact ofSTEM programs in the development of identities and motivations along career pathways. In thisWork in Progress paper, we describe the ongoing process for developing the first round ofsurveys, as well as discussing considerations for

Conference Session

Instrumentation Division Technical Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Martha L. Torres, University of Texas at El Paso; Virgilio Ernesto Gonzalez, University of Texas at El Paso

Tagged Divisions

Instrumentation

://www.analog.com [Accessed: April 9, 2021].[9] National Instruments, 2021. [Online]. Available: https://www.ni.com [Accessed: April 9, 2021].[10] C. Williams and S. Eberechukwu, “Collaborative Learning in a Virtual Classroom: Its Status in the Current Digital Era,” European Journal of Research and Reflection in Educational Sciences, vol. 3, no. 5, pp. 45-51, 2015.[11] R. Chandra, “Collaborative Learning for Educational Achievement. International Journal of Research & Method in Education,” IOSR Journal of Research & Method in Education (IOSR- JRME), vol 5, no. 2, pp. 4-7, March 2015.

Conference Session

Mechanics & Mechanics Related

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sudeshna Pal, University of Central Florida; Ricardo Zaurin P.E., University of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

and ensure that the later value is smaller than the former value for any givensurface. The students were also asked to verify and report their obtained values against thosereported in the literature as much as possible. Additionally, the students were also asked toidentify the sources of error in their experimental model that would have resulted in deviations(if any) of their calculated friction coefficient values. Majority of the students (greater than 90%)were able to report values and reflect upon their results and the deviations they observed.Considering that this is not a controlled laboratory experiment where all the equipment andparameters are strictly controlled, the simple experimental models built by the students workedquite well to