Conference Session

Design Across the Curriculum 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Charlotte Marr de Vries, Pennsyvania State University, Behrend College; Jill Johnson P.E., Pennsylvania State University, Behrend College; Brian Lani

Tagged Divisions

Design in Engineering Education

mentors. Teams thatwaited until the last minute to submit files to the seniors would not get a chance to implementfeedback into their final designs. Seniors also had to work at communicating technical feedbackto first-year students who are relatively inexperienced in CAD and may have never used a 3Dprinter. When reflecting upon the mentorship experience, seniors routinely stated that promptand clear communication was critical to their success or failure as a group.Positive Outcomes for First year Student Teams: According to faculty and TA observations,first-year students put more effort and overall time into correctly learning how to use CAD in theassociated EDSGN computer lab when they were designing their projects to be 3D printed. First-year

Conference Session

First-Year Programs: Peer Mentoring

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rezvan Nazempour, University of Illinois at Chicago; Houshang Darabi, University of Illinois at Chicago; Renata A. Revelo, University of Illinois at Chicago; Peter C. Nelson, University of Illinois at Chicago; Anthony E. Felder, University of Illinois at Chicago; Didem Ozevin P.E., University of Illinois at Chicago; Jeremiah T. Abiade, University of Illinois at Chicago

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

module, students were placed into groups of three to four. The teams decided on a communication method and planned a meeting schedule for the semester. A composition notebook was provided to each group to document their meetings and to record a brief reflection of each meetings. Students were required to bring their group notebooks to the ENGR194 class. Notebook checks were performed randomly during the semester to keep track of the learning process. • Four-year Graduation Plan Development: The purpose of this module is to guide student to develop their plan for taking courses during their undergraduate years. In the first session of this module, the instructor described some important rules and

Conference Session

First-year Programs: Retention and Bridge Programs #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Melissa Danforth, California State University, Bakersfield; Charles Lam, California State University, Bakersfield; Ronald Hughes, California State University, Bakersfield

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

them to use every second, every minute, while you are walking from class to class, that you think about mathematics. Always thinking. Practice a lot. I tell them (students) that you have to think like a mathematician - practice like a basketball player. That is what I tell them to do before they come to the classroom, and after they leave.Interview data in support of developing teamwork and communication skills:  Student: It really helps, as a female, to be able to get together with other females - and males - to work in groups in what is otherwise a male dominated field. It is easier to ask questions, see role-models.  Student reflection statement: What I will remember about this workshop is the

Conference Session

Software Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kyle D. Feuz, Weber State University; Linda DuHadway, Weber State University; Hugo Edilberto Valle, Weber State University; Richard C. Fry, Weber State University; Kim Marie Murphy, Weber State University

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division

. It looks like when a student finds the post helpful they do notprovide an alternative solution and when they find the post less helpful they instead suggest analternative. The two characteristics together consistently make up about 70% of the replies.It is important to realize that although each module was similar in the amount of contentpresented and that the amount of time students had to complete each module was identical, somemodule concepts were more challenging for students to grasp and implement then others.Anecdotally, we observed students struggle more with modules 1, 2, 6 and 7 then they did withmodules 3,4 and 5. We see several of the trend lines reflecting this pattern.To compare performance on the exam programming questions we

Conference Session

Engineering Management Division 3: Teaching and Learning in Engineering Management

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michael Sollitto, Texas A&M University, Corpus Christi; Mehrube Mehrubeoglu, Texas A&M University, Corpus Christi

Tagged Divisions

Engineering Management

managing conflict.Taking Conflict Personally As an orientation, or trait, for perceiving conflict, Hample and Dallinger [21] describetaking conflict personally (TCP) as an individual’s tendency to experience negative emotionalreactions to conflict. Consisting of six dimensions, TCP reflects a feeling of punishment andpersecution resulting from conflict [22]. Direct personalization describes an individual’s hurtand negative feelings emanating from conflict. Persecution feelings describe a person’scombative view of conflict of others picking fights with him/her. Stress reaction describes anindividual’s feelings of discomfort and strain resulting from disputes. Collectively referred to asCONFLICT NEGOTIATION TRAININGcore TCP, direct

Conference Session

First-Year Programs: Unique Projects & Pedagogies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tyler Milburn, Ohio State University; Cassondra Wallwey, Ohio State University; Michael Parke, Ohio State University

Tagged Divisions

First-Year Programs

the students to manufacture, each which comeswith various parts and accessories that allow for a variety of designs of the Mr. Potato Head toyto be used as different products for the lab, whose designs can be seen in Figure 1 on thefollowing page. As seen in this figure, the designs differ in arm placement (seen by the lowerarms in the Red and Yukon models versus the higher arms in the Spud model), hat type anddirection (seen in differences between all three models), the inclusion of a mustache (seen by themustache only present in the Yukon model), and eye orientation (seen by the ‘reflections’ in theeyes facing up in the Red and Yukon models but rotated to face down in the Spud model). Eachteam is provided with the parts of approximately 20

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Leila Zahedi, Florida International University; Stephanie J. Lunn, Florida International University; Samira Pouyanfar, Microsoft; Monique S. Ross, Florida International University; Matthew W. Ohland, Purdue University, West Lafayette

Tagged Divisions

Computing and Information Technology

institution, which may affect how well thesefindings can be generalized [12].When exploring which factors from high school are most predictive of college graduation,between standardized test scores (SAT and ACT) and students’ high school GPA, GPA isconsistently considered the winner, in terms of which variable has the greatest impact [13–15].The hypothesized rationale for this observation is that although standardized tests considerintellectual abilities in certain domains, the overall GPA considers different intrapersonal qualitiesas well that were useful for positive outcomes in college [15]. More specifically, although gradescertainly do reflect skill levels on specific content, it may also include individual factors such asstudents’ attitudes

Conference Session

Faculty and Student Perspective on Instructional Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Roxana Maria Carbonell, University of Texas at Austin; Audrey Boklage, University of Texas at Austin; Patricia Clayton, University of Texas at Austin; Maura J. Borrego, University of Texas at Austin

Tagged Divisions

Educational Research and Methods

often a necessity for professors toexplore the space and expose their students to the opportunity for projects that deviate fromstandard pencil to paper design projects that dominate engineering coursework by including thedevelopment of some physical final prototype.ParticipantA recipient of the makerspace grant, Dr. Cook is an assistant professor in the department of civilengineering. Her expertise is in structural engineering and her research interests are the designprocess and testing the behavior of largescale steel structures. Observations of her class reflect akeen interest in students’ growth, empathy for the student experience, and awareness surroundingthe potential pitfalls that accompany the many types of projects engineering

Conference Session

Women in Engineering Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jocelyn LaChelle Jackson, University of Michigan; Jeremi S London, Virginia Polytechnic Institute and State University; Joi-lynn Mondisa, University of Michigan; Stephanie G. Adams, University of Texas at Dallas

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

faculty. In 2017, ASEE surveyed 338 universities nationwide that have four-year degreegranting engineering programs and found that of the 27,412 tenured/tenure-track engineering facultymembers, only .52% were African American women [1]. Although this number depicts a dismalrepresentation, this number actually reflects an increase in the number of African American womenfaculty members in engineering over time [1].There are a variety of reasons why diversifying the engineering ranks adds value. Diversity has the abilityto either hinder or drive innovation [5,11]. Additionally, given the importance of role models inrecruiting and retaining underrepresented minorities, the lack of diversity in the academy influences therepresentation of

Conference Session

ECCD - Technical Session 2 - Solar Energy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bennet Thomas Krull, Illinois State University; Matthew Aldeman, Illinois State University; Jin Ho Jo, Illinois State University

Tagged Divisions

Energy Conversion and Conservation

solar energy productionitself – for example, a possible fault in the data reporting and monitoring system. Furthermore,because the sample size was only eleven systems, if the data set included zero power output forone system for an extended time period then it would have an unreasonably large effect on theaggregated power output. For all of these reasons, when the power output was equal to zero andthe reason for the zero power output was not related to environmental conditions, the data wasdiscarded from the data set.Analysis and Results The data gathered from the SolarEdge website reflected the power output from eachindividual solar system. Each system was normalized to 10 kW maximum power output usingthe following equation

Conference Session

Women in Engineering Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Andrea Nana Ofori-Boadu, North Carolina A&T State University; Victor Ofori-Boadu, Penuel Consult Inc.; Jacob Randall Vanderpool, North Carolina Agricultural and Technical State University; Dongyang Deng, North Carolina Agricultural and Technical State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

thatincorporates personal, private, public and professional identities (Cruess et al., 2015; Piaget &Inhelder, 1969; Kohlberg, 1984; & Kegan, 1982). The complex identity formed as individualsprogress from infancy into adulthood is represented by individual, relational, and collectivedomains (Vignoles, Schwartz, & Luyckx, 2011). The individual domain focuses on personalcharacteristics and beliefs, the relational refers to influence from significant individuals likefamily and friends, and the collective domain reflects on the impact of social groups to which anindividual belongs (Cruess et al., 2015).Drawing from these theoretical foundations, it can be inferred that some undergraduate AECwomen may begin their nascent AEC-PID process even before

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

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