Conference Session

Pre-college Engineering Education Division Technical Session 15

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Hug, Colorado Evaluation and Research Consulting; Suzanne Eyerman, Fairhaven Research and Evaluation; Trina L. Fletcher, Florida International University; Araceli Martinez Ortiz, Texas State University; Michael A. Soltys, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

3 Teaching 101 Facilitation Strategies 4 Cultural Responsiveness 5 Project Management/Project Preparation 6 Reflection Table 2. The 2019 Ambassador workshop outlineAn element of support that is built into the Ambassadors program is the development of the“sponsor” role. Ambassadors apply with their sponsors, who are asked to fill out a separatedocument at the time of the Ambassador’s application. Sponsors are expected to serve as localsupport for Ambassadors in their outreach endeavors and are invited to attend SWE alongsidetheir Ambassador. In some cases, sponsors are family members, though other sponsors

Conference Session

A Focus on Sustainability

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Inez Hua, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Environmental Engineering

(faculty, graduate relevant skills science teachers students, high school science Benefits of high from Indiana teachers undergraduate students) Scientific discoveries about school science and Alabama environmental impacts of electronics teacher Professional development activities development Engineering (weekly guided reflection, field Advancement of knowledge in graduate trips) various engineering disciplines High school students at preparation for Purdue and Technical presentations and

Conference Session

Design Mental Frameworks

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kaylee A Dunnigan, NYU’s Tandon School of Engineering; Amy Dunford, New York University Tandon School of Engineering; Jack Bringardner, NYU’s Tandon School of Engineering

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

, novelty, and quality in order to evaluate thestudent’s level of design ideation expertise.BackgroundThe phases of engineering design are often taught as having a circular, iterative nature. Anengineering product or process is designed through phases of (i) defining the problem, (ii)brainstorming solutions, (iii) planning a solution, (iv) prototyping, (v) evaluating the solution, andfinally (vi) reflecting for iteration, shown in Figure 1. Figure 1: Simple infographic conveying six phases of engineering design iteratively.In practice, the activities associated with each engineering design phase are highly interdependentand do not simply progress in a neat iterative circle, as implied by common infographics for theengineering design process

Conference Session

Pedagogy and Teaching Preparation in Graduate Programs

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Locke Davenport Huyer, University of Toronto; Neal I. Callaghan, University of Toronto; Dawn M. Kilkenny, University of Toronto

Tagged Divisions

Graduate Studies

specifically as StreamLeads (Table 2; 50.5% female; 49.5% male). These students are pursuing a range of degrees,including an increasing number of BME undergraduate students, given recent increases inprogram size and mentorship strategies. While the engagement of doctoral trainees is notsurprising given focus on professional skill development for future academic pursuits, we areconsistently surprised by the number of Master’s trainees involved in the program. In the contextof skill development, Master’s students may consider teaching and mentorship development in amore tangential manner, such that experience with educational strategies will translate to work innon-academic settings. It is further likely that this trend reflects student engagement at

Conference Session

Embedded Systems and Cybersecurity in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Asmit De, Pennsylvania State University; Mohammad Nasim Imtiaz Khan, Pennsylvania State University; Karthikeyan Nagarajan, Pennsylvania State University; Abdullah Ash Saki, Pennsylvania State University; Mahabubul Alam, Pennsylvania State University; Taylor Steven Wood, Pennsylvania State University; Matthew Johnson, Pennsylvania State University; Manoj Varma Saripalli, Pennsylvania State University; Yu Xia, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Swaroop Ghosh, Pennsylvania State University; Kathleen M. Hill, Pennsylvania State University; Annmarie Ward

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

from different disciplines 3.14(1.03) 4.14(0.69) Clearly identify the type of knowledge and skills possessed by teammates 3.07(1.07) 4.00(0.82) from other disciplines Accurately recognize goals that reflect the disciplinary backgrounds of 3.00(1.18) 4.00(0.82) other team members Talk about a project design using other discipline language 2.86(1.17) 3.86(1.07)rated as the least confident (M = 2.86). A total of 13 students completed 4 sets of knowledgequestions and confidence level rating in

Conference Session

ET Pedagogy III

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brian Scott Rice, Rochester Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

mastered the material at a level on par with their improved exam grade. Forexample if their initial grade is 65% and their corrected grade is 85% their new exam grade is 75%. Inorder for the student to receive this grade they had to demonstrate during this oral exam that theirknowledge was on par with a 75% exam grade. During these oral exams many students have difficultyexplaining how they solved the problems. This often led to student questions and self-reflection by boththe student and teacher that allowed both to identify common misconceptions.Surveys were used in 2018 and 2019 to get anonymous student input to determine if test correctionsencouraged learning from their mistakes. Table 4 shows the multiple choice question responses. Samplesize

Conference Session

Pre-college Engineering Education Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Marialice Mastronardi, University of Texas at Austin; Audrey Boklage, University of Texas at Austin; Risa D. Hartman, University of Texas at Austin, NASCENT Center; Darlene Yañez, University of Texas at Austin, NASCENT Center; Maura J. Borrego, University of Texas at Austin

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

in Table 5 in the pre- andpost- surveys on a scale of 1 to 5, with 1=Extremely Not Confident to 5= Extremely Confident.The arithmetic mean of the responses for each cohort was calculated and the Mann-Whitney testwas run to determine statistical significance between pre- and post- survey data.The data analysis shows an overall increase in confidence for almost all the statementsthroughout the years, with a few statistically significant improvements. For the 2016 cohort,“Using tools in the lab”, “Collecting data” and “Analyzing data” significantly increased (p ≤0.05) from pre- to post- survey. This result reflects the focus of the program on providingstudents with the opportunity to perform daily laboratory research, contributing to an

Conference Session

Pre-college Engineering Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joanne Baltazar Vakil, Ohio State University; Paul E. Post, Ohio State University

Tagged Divisions

Pre-College Engineering Education

2). The current use of the words technologyeducation in the program name reflects a reduction from its popularity in 2001 where almost59% of the programs included those terms [36]. Courses titled “Industrial Technology” (11%)differentiated from the less frequent program “Industrial Arts” (1%). This marked movementaway from “Industrial Arts” was also captured in Sanders’ [36] survey which reported 20% ofthe programs titled “Industrial Technology” and only 9% “Industrial Arts.” Respondents alsospecified the name of their program in the “other” text box. These alternative program namesincluded “RAMTEC,” Industrial Technology/STEM,”“STEAM,” and “ConstructionTechnologies.” Currently, 6% of the Ohio programs refer to their program as

Conference Session

Alternatives to Traditional Assessment

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kristen M. Ward, Arizona State University; Yingyan Lou, Arizona State University

Tagged Divisions

Educational Research and Methods

students. Written assessments imaynot provide adequate direction to help students to reflect on their understanding of a subject andadapt their learning behaviors. The numerical scores given to these assignments and exams coulddistract, and sometimes discourage, students from actual learning. From the instructor’sperspective, written exams may not give an accurate evaluation of their students’ understanding asmany different factors may interfere with a student’s ability to answer written exam questions.One alternative assessment instrument is oral assessment. Oral assessment can take a variety offorms as long as there is a verbal component. Project presentations, thesis defenses, clinicalassessments, and mock trials are all examples of oral

Conference Session

Women in Engineering Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa R. Volpatti, Department of Chemical Engineering, Massachusetts Institute of Technology; Kara Rodby, Department of Chemical Engineering, Massachusetts Institute of Technology; Gurleen Kaur Singh, Massachusetts Institute of Technology; Bianca Kaushal, Massachusetts Institute of Technology ; Kelley Marie Adams, Massachusetts Institute of Technology; Paula T. Hammond, Department of Chemical Engineering, Massachusetts Institute of Technology; Sarah Rankin

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

,” New York, NY: Routledge, 2013.[18] M. Koretsky, D. Montfort, S.B. Nolen, M. Bothwell, S. Davis, J. Sweeney, “Towards a stronger covalent bond: pedagogical change for inclusivity and equity,” Chemical Engineering Education, 52(2), 2018, 117-127.[19] D.S. Janzen, S. Bahrami, B.C. da Silva, D. Falessi, “A reflection on diversity and inclusivity efforts in a software engineering program,” 2018 IEEE Frontiers in Education Conference, 2018, 1-9.[20] J. Speed, D.L. Pair, M. Zargham, Z. Yao, S. Franco, “Changing faculty culture to promote diversity, equity, and inclusion in STEM education,” Culturally Responsive Strategies for Reforming STEM Higher Education, Emerald Publishing Limited, 2019, 53-72.[21] P

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mohsen M. Dorodchi, University of North Carolina at Charlotte; Nasrin Dehbozorgi, University of North Carolina at Charlotte; Aileen Benedict, University of North Carolina at Charlotte; Erfan Al-Hossami, University of North Carolina at Charlotte; Alexandria Benedict, University of North Carolina at Charlotte

Tagged Divisions

Educational Research and Methods

. Her work mainly focuses on CS education and learning analytics, with specific interests in reflective practices and predictive analytics. More recently, she has also been learning more about various topics in machine learning, recommender systems, and mental health.Erfan Al-Hossami, University of North Carolina at Charlotte Erfan Al-Hossami is a Ph.D. student at UNC Charlotte. Erfan has been mentored in teaching CS1 since 2016 and then in CS education research. His work mainly focuses on predictive learning analytics. His research interests include Machine Learning, NLP, and Conversational A.I. and mental health. Recently, he’s been learning more about code generation, transfer learning, and text

Conference Session

Alternative Methods of Teaching and Learning Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eleazar Marquez, Rice University; Samuel Garcia Jr., Texas State University

Tagged Divisions

Mechanics

to ensure high levels of studentlearning, engagement, and overall satisfaction.It is noted, nonetheless, that the post-survey via student feedback is subjective, and might notreflect the extent to which students learned. The responses to question six in the post-survey,however, reflect that experiments and analyses of the lab related to the strength of materials course,but do not reveal specific learning outcomes. Future research will incorporate both control and testgroups in order to initiate comparison analyses and reveal specific learning outcomes.REFERENCES[1] Amadieu, F., Mariné, C., & Laimay, C. (2011). The attention-guiding effect and cognitive loadin the comprehension of animations. Computers in Human Behavior, 27(1), 36-40.[2

Collection

2016 St.Lawrence Section Meeting

Authors

Ryan Milcarek; Michael Garrett; Ryan Falkenstein-Smith; Jeongmin Ahn

” or “strongly agree”) or lower (“disagree” or “strongly disagree”).Table 1 shows the results of this assessment. While it is clear that students were twice as likely torate their understanding of resilience as lower than their understanding of sustainability, themajority of students felt the same about both resilience and sustainability. This trend was evidentfor the undergraduates surveyed. This again may just be a reflection of the fact that theundergraduates are in the early stages of their programs. This conclusion has some merit as thegraduate students rated resilience lower than their understanding of sustainability almost as muchas they rated them the same. Regardless, graduate students and all undergraduate disciplinessurveyed except

Conference Session

Mechanical Engineering Technical Session: Team/Project-based Pedagogy and Approaches

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Daigo Misaki, Kogakuin University; Xiao Ge, Stanford University; Takuma Odaka, Kogakuin University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

evaluation, engineering educators who fail to reflect ontheir own cultural perspectives may understate the importance of conflicts and instead favorrespectful, harmonious cooperation. However, task conflicts, when modulated well, can function assources of creativity and innovation, a necessary engine in the early, diverging phase of innovation[17]. We believe that it is important to enable Japanese students to learn both collaboration andcooperation with people from diverse backgrounds.Given the complexity of teamwork and its context dependency, we believe that a simple rubric asproposed by JABEE is not enough. It is necessary to develop a method to measure teamwork learningwhile taking into consideration the cultural context of the

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kenneth Reid, Virginia Tech; Max Mikel-Stites, Virginia Tech

Tagged Divisions

Computers in Education

group given the timing of the assignments. This is reflected primarily in theshared work unique to students, and not Chegg.com-tied submissions. Of the twenty Chegg.com-tiedsubmissions, nine were related to track 2 students and eleven to track 1 students, implying that there wasnot an increased use in Chegg.com throughout the semester, and that the increase in cases was due toother factors. This could also indicate that the known availability of solutions in the students’ peer groupwas the primary factor, and that students who used Chegg.com were already aware of it (and likely usingit) prior to the assignment. The bulk of the cases were pairs of students, with an average incident size of2.38 students. Based on this, while cross-track sharing

Conference Session

Factors Influencing Curriculum Development: International Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ashish Agrawal, University of Cape Town; Johnson Carroll, University of Johannesburg; Jennifer M. Case, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University

Tagged Divisions

International

is even lower than the fourth-year contacttime at the two US universities.In order to provide a consistent picture of the students’ formal academic interactions, thisanalysis is based on the weekly class schedule. Institutional differences in class scheduling,assessment structures, and contact time format make cumulative totals difficult to compare.For example, the differences in semester length (12-13 weeks in South Africa vs. 15 weeks inthe US) and whether assessments take place outside ordinarily scheduled contact time canlead to variations in total contact time between and within institutions that may not reflect thestudents’ perception of that contact time. The weekly basis is chosen both because itillustrates a student’s ongoing

Conference Session

Mathematics Division Technical Session 3: Diversity in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Kerrigan, Rutgers University; Lydia Prendergast, Rutgers University; Jillian A.S. Mellen, Rutgers University; Geraldine L. Cochran; Antonio D. Silva

Tagged Topics

Diversity

Tagged Divisions

Mathematics

Calculus II course? To answer this research question, twelve semi-structuredinterviews [22] were conducted during the last week of class with a focus on gaining a deeperunderstanding of students’ experiences in the flipped classroom. The research team adaptedquestions from a previous study on students’ self-efficacy in calculus [23]. Students names wereneither provided nor were known to the interviewer. Each interview was 10-20 minutes long andallowed students to reflect on their self-efficacy in mathematics (see Appendix B). Examples ofinterview questions included, “How do you rate your confidence in math now? Why?” and“What could make you feel more comfortable about math?” [23]. All interviews were audiorecorded using a digital recorder

Conference Session

Engineering Physics and Physics Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Yumin Zhang, Southeast Missouri State University

Tagged Divisions

Engineering Physics and Physics

add more hidden layers, which is also reflected in biological evolution. For example, thecortex of turtles has three layers of neurons, but the human brain has six layers in the neocortex.The architecture with many hidden layers is called a deep neural network, and its operation iscorrespondingly called deep learning [5-6].One of the major applications of ML is on image recognition, where the data is in the two-dimensional (2D) format. If a traditional neural network is used, the 2D matrix needs to beflattened into a one-dimensional (1D) vector. In the 2D format, there are strong correlationsamong the neighboring pixels, but this important information becomes intricate in the 1D format.Therefore, a new approach was developed, which is called

Conference Session

Learning Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wangping Sun, Oregon Institute of Technology; Yanqing Gao, Oregon Institute of Technology

Tagged Divisions

Manufacturing

been developed in the public domain, which includeEXPRESS model, surface graph model, representational primitive model, TTRS model, UMLmodel, XML model, category theory model, GeoSpelling model, relationship model andontology-based model [3]. All these models must be implemented manually and are lack ofautomation.Researchers have been trying to translate the GD&T rules into the language that can berecognized by computer. If successful, the tolerancing process can be completed by computer [4].The researchers categorized the automation sophistication of the GD&T process into three levels.At the first level, GD&T primarily focuses on how to assemble the parts together; at the secondlevel, GD&T will automatically reflect design

Conference Session

Concept Inventories in Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Phillip Cornwell, Rose-Hulman Institute of Technology; Brian P. Self, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Mechanics

mechanic courses. It is ourhope that the use of the CW this will make it easier for faculty members to implement the DCIin their courses, and for us to collect data on the instrument so we can improve it in the future.Disclaimer: The views expressed in this article are those of the authors and do notnecessarily reflect the official policy or position of the United States Air Force Academy, theAir Force, the Department of Defense, or the U.S. Government. Distribution A. Approved forpublic release, USAFA-DF-2020-27: distribution unlimited.References1. Gray, G.L., D. Evans, P. Cornwell, F. Costanzo, B. Self, “Toward a Nationwide Dynamics Concept Inventory Assessment Test,” Proceedings of the 2003 ASEE Annual Conference, Nashville, TN, June 2003.2

Conference Session

NSF Grantees: K-12 Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Stacie I. Ringleb, Old Dominion University; Jennifer Jill Kidd, Old Dominion University; Pilar Pazos, Old Dominion University; Kristie Gutierrez, Old Dominion University ; Orlando M Ayala, Old Dominion University; Krishnanand Kaipa, Old Dominion University

Tagged Topics

NSF Grantees Poster Session

pilot of this class prior to this grant combined a small,bioinspired robotics course with PSTs in the educational technology course, where the UESs andPSTs could work together on a larger project. Therefore, future collaborations will include eitherthe bioinspired robotics course or electromechanical systems course, both which have smallerclass sizes.Preliminary results [7,8] suggest that the instruments developed for collaborations 1(engineering design process) and 3 (computational thinking) may not be sensitive enough todetect changes in content knowledge. Therefore, additional research is being implemented toimprove those assessments. The reflection assignments provided valuable information on bothwhat students learned and how they viewed

Conference Session

Curriculum Development in Technological Literacy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jayanta K. Banerjee, University of Puerto Rico, Mayaguez Campus

Tagged Topics

Diversity

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering

].Aesthetics in engineering, utilizing objects from nature, is being stressed by modern industrial designers,whether in building architecture or in the design of a shopping mall. Industrial design is in the domain ofvisual education applicable in fine arts and performing arts. The pioneering works of Leonardo da Vinciare some the earlier examples in the Hellenistic-Judeo-Christian cultures that convey the importance ofaesthetic aspects in mechanical design [4]. His extensive note books and sketch pads on all mechanicalmodels, ranging from water pumps to helicopters, put aesthetics on a solid foundation in the domain ofdesign, and reflect the union between beauty and technology, harmony and synthesis, art and artisan’swork in a creative endeavor.Over

Conference Session

NSF Grantees: S-STEM 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Topics

Diversity, NSF Grantees Poster Session

and persistenceto graduation. Scholarship recipients also participate in focus groups and one-on-one interviewsand that data is being analyzed with the goal of gaining a holistic understanding of studentretention and finding trends in longitudinal change in students’ perceptions of the engineeringprofession as well as in their motivation and persistence.This material is based upon work supported by the National Science Foundation under GrantNo. DUE-1644119. Any opinions, findings, and conclusions or recommendations expressed inthis material 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

Conference Session

Mental Health of Graduate Students

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Jane Bork, University of Michigan; Joi-lynn Mondisa, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

underlying factor structures for items across all fourteenmodules through the exploratory factor analysis. A confirmatory factor analysis will thenevaluate the proposed emerging factor structure. The analysis will conclude with a finalizedfactor structure, completing steps four and five in the instrument development process. Futurework past this project will extend to step 6, in which we will work to interview current science,engineering, and mathematics graduate students to ask them to comment on the final surveyinstrument and reflect on what areas regarding to their current mental health experiences aremissing.The ultimate purpose of this work is to create an instrument that measures science, engineeringand mathematics graduate students’ mental

Conference Session

Mechanical Engineering Technical Session: Curriculum and Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michele Miller, Campbell University

Tagged Divisions

Mechanical Engineering

billion pounds of plastics were manufactured in the US. What questions does this statement raise for you?After students list as many questions as possible, they could be instructed to improve them andprioritize them. In my case, the next step was for groups of four students to compare theirquestions and prepare a team list. The list of student questions does not necessarily need to beturned in. But if they are, they can be used to drive lecture material or as an assessment ofstudent curiosity. The questions in fall 2019 reflected a wide variety of interests on the students’part. Some focused attention on the environmental issues, some on the material property issues,some on the industries that use plastics the most. By better understanding

Conference Session

Pre-college Engineering Education Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Anthony E. Felder, University of Illinois at Chicago; Miiri Kotche, University of Illinois at Chicago; Amna Hoda, University of Illinois at Chicago

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

experience with the design cycle by designing a helmet to protect the brain. Students iteratively design the helmet using practical arts and crafts materials and engage in testing to determine the performance of their design. Students also reflect on their designs to influence further iterations. On day 3, students use the engineering design cycle to iteratively design surgical tools. Students evaluate their tools by performing mock surgeries on gelatin models to remove embedded masses. Students evaluate their tool performance and use that to inform further design improvements. On day 4, students revise their tools to enhance performance and prepare for day 5 challenges. The day 5 competition includes

Conference Session

Design in Biomedical Engineering (Works in Progress) - June 24th

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Erica M. Comber, Carnegie Mellon University; Elisha Anthony Raeker-Jordan, Carnegie Mellon University; Kalliope Georgette Roberts, Carnegie Mellon University; Melanie Alexis Loppnow, Carnegie Mellon University; Andrew Hudson, Carnegie Mellon University; Wayne Chung, Carnegie Mellon University; Conrad M. Zapanta, Carnegie Mellon University

Tagged Divisions

Biomedical Engineering

ofobjectives, CATME peer evaluationdata from both years was used toevaluate whether students believetheir team members i) possessedrelated knowledge, skills, andabilities and ii) contributed todeliverables (objective 1). CATMEalso rated how efficiently the Fig. 2: SPOC subteam communication dynamicsubteams communicated relative to 2018-2019 results with the embedded ID team structure.End-of-semester reflections for both years and a survey in the fall of 2019 (Appendix B)provided more data on task allocation and subteam communication.Results and Discussion:Objective 1: CATME peer evaluation data reported that engineers scored higher than IDs (bothyears) and point differentials were slightly but not statistically less (two-sided t-test, α

Conference Session

Concept Inventories in Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Julian Ly Davis, University of Southern Indiana; Sara L. Arena, Virginia Tech

Tagged Divisions

Mechanics

work throughproblems, and when they should rely on calculations to help adjust their intuition. This exercise hascertainly provided a moment of self-reflection for the authors and a direction towards improvement oftheir courses. Bibliography[1] D. Hestenes, M. Wells, and G. Swackhamer, “Force concept inventory,” Phys. Teach., vol. 30, no. 3, pp. 141–158, 1992.[2] C. Henderson, “Common Concerns About the Force Concept Inventory,” Phys. Teach., vol. 40, no. 9, pp. 542–547, 2002.[3] J. Docktor and K. Heller, “Gender Differences in Both Force Concept Inventory and Introductory Physics Performance Gender Differences in Both Force Concept Inventory and Introductory Physics Performance,” Am. Inst. Phys

Conference Session

Multidisciplinary Endeavors: Engineering and Liberal Arts

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Katie Zoe Loughmiller, Kansas State University

Tagged Divisions

Multidisciplinary Engineering

students to evaluate their team’s ability tonegotiate. The responses to this question in comparison to the pre-assessment results, reflect asimilar result as the previous question (Figure 5). On the pre-assessment survey only 9% ofstudents indicated a strong reliance on compromise and in the post-assessment survey 58%responded that they had either frequently or always used compromise as a negotiating method. Post-Assessment Q2 - Group Evaluation 50% 40% 30% 20% 10% 0% Never Rarely Sometimes Occassionally Frequently Always Avoidance Aggression Accomodation Compromise CollaborationFigure 5: Comparison of Post-Assessment Question 2 and Pre-Assessment ResultsConclusion/Future

Conference Session

Intro to Biomedical Engineering and Vertically Integrated Curriculum (Works in Progress) - June 23rd

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sara L. Arena, Virginia Polytechnic Institute and State University; Melissa C. Kenny, Wake Forest University; Andre Albert Muelenaer, Virginia Polytechnic Institute and State University; Yong Woo Lee, Virginia Polytechnic Institute and State University; Pamela Jean VandeVord, Virginia Polytechnic Institute and State University; Christopher Arena, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

formats. i. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 7. CATME Team Assessments were beneficial in giving feedback to my team members. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 8. CATME Team Assessments were beneficial in receiving feedback from my team members. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 9. CATME Team Assessments accurately reflected my contributions to the team. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 10. Viewing the CATME Team Assessments helped develop my self-awareness as a member of a team. a. Strongly Agree, Agree, Neutral, Disagree, Strongly