Conference Session

WIED: Strategies Beyond the Classroom

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cate Samuelson, University of Washington; Elizabeth Litzler, University of Washington; Candice L. Staples, University of Maryland; Paige E. Smith, University of Maryland, College Park; Catherine T. Amelink, Virginia Tech

Tagged Divisions

Women in Engineering

contends thatmost departures are voluntary and reflect the degree to which an individual’s experiences serveto integrate him/her into the social and intellectual life of the institution.12, 13 While academicintegration is the extent to which a student exhibits a commitment to and engagement inacademic activities, social integration refers to the extent to which a student engages in socialactivities.13, 14 Generally speaking, the more satisfying a student finds his/her social andacademic experiences, the more likely he/she is to integrate into both social and academicaspects of campus life and persist to degree completion.12 When an absence of integration exists,this is likely due to incongruence (lack of institutional fit) and/or isolation

Conference Session

Liberal Education/Engineering & Society Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jay Patrick McCormack, Rose-Hulman Institute of Technology; Steven W. Beyerlein, University of Idaho, Moscow; Ashley Ater Kranov, Washington State University; Patrick D. Pedrow P.E., Washington State University; Edwin R. Schmeckpeper, Norwich University

Tagged Divisions

Liberal Education/Engineering & Society

necessarily reflect those of the National Science Foundation.References 1. Assessing Performance: Designing, Scoring, and Validating Performance Tasks, Robert Johnson, James Penny, and Belita Gordon, The Guilford Press, New York, NY, 2009. 2. Zhang M., Ater Kranov A., Pedrow P., Beyerlein S., McCormack J., and Schmeckpeper E. “A Direct Method for Teaching and Measuring Engineering Professional Skills: A Validity Study for the National Science Foundation’s Research in Evaluation of Engineering and Science Education”, Proceedings of the 2011 American Society for Engineering Education Conference, Vancouver, BC, June 26-29, 2011. 3. McCormack, J., Ater Kranov, A., Beyerlein, S., Pedrow, P., Schmeckpeper, E., “Methods

Conference Session

Methodological & Theoretical Contributions to Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Corey T. Schimpf, Purdue University, West Lafayette; Joyce B. Main, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

each case to begrouped or clustered. The techniques then use one of the methods above, as reflected in differentsorting algorithms, to generate one or more clusters of related cases. It is used across many fieldsincluding education, engineering, and life, social, and physical sciences12,13,35,36 for manypurposes including verifying underlying group structures or as exploratory and data-miningmethods. This study applies a k-means cluster analysis, a well-established technique previouslyused in engineering education research, to identify clusters of institutions with different profilesthat have a greater or fewer number of family-related benefits. Past studies in engineeringeducation research have used k-means to develop skill and ability

Conference Session

Best of DEED

Collection

2014 ASEE Annual Conference & Exposition

Authors

R. Keith Stanfill, University of Florida; Amy Rigby, www.amywriting.com; Maureen Milch, University of Florida

Tagged Divisions

Design in Engineering Education

for improving the overall effectiveness ofthe IPPD Program in meeting educational goals and for maintaining long-lasting relationshipswith sponsoring companies. Students have always been a central stakeholder, yet no professionalpractice guide had ever been provided as a reference for effective interactions with IPPD. A Page 24.1240.4guide was needed to span the IPPD interactions inside and outside the classroom, such as Louinotes in student reflections, a student “would be a professional “both on and off the clock”because being a professional is integral to a person’s identity”11.Streamline procedural, professional, and legal information into

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Youyi Bi, School of Mechanical Engineering, Purdue University; Tahira N. Reid, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

researchers arestarting to apply eye tracking technology in studying people’s problem solving process; e.g.,Madsen’s study of visual attention in physics problem solving [52].Madsen showed that when solving physics problems, both top-down and bottom-up processesare involved. The top-down processes are internal and determined by one’s prior knowledge andgoals. The bottom-up processes are external and determined by features of the visual stimulisuch as color and luminance contrast. Madsen’s study assumed that eye movements reflect aperson’s moment-to-moment cognitive processes, providing a window into one’s thinking. In aprevious study, the way correct and incorrect solvers viewed relevant and novice-like elements ina physics problem diagram were

Conference Session

Laboratory Experiences in Electronics and Circuits

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kenneth A Connor, Rensselaer Polytechnic Institute; Bonnie H. Ferri, Georgia Institute of Technology; Kathleen Meehan, Virginia Tech

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Exit Surveys: The goal of the survey is to determine the impact of hands-on learning asstudents reflect on their academic experiences. Student input also reveals the expected value ofthese experiences in their professional careers as they have, typically, completed their job searchand have an understanding of the knowledge and skill sets that will employ in the near future.4.0 ComparisonThe three models of implementation of the hands-on activities can be compared against severalcriteria as shown in the table below. The model described in Section 2.1, Small In-ClassActivities in Lecture-Based Courses, is abbreviated as “Small In-Class Labs.” The modeldescribed in Section 2.2, Student-Owned Equipment in Lab Courses, is abbreviated as“Ubiquitous

Conference Session

Undergraduate Student Issues: Persistence

Collection

2013 ASEE Annual Conference & Exposition

Authors

Christine Valle, Georgia Institute of Technology; John D. Leonard II, Georgia Institute of Technology; Ann Marie Blasick, Georgia Institute of Technology

Tagged Divisions

Women in Engineering

together. There may be a severe lack of consistency inhow the data is measured from one institution to the next. For example, each institution maydefine what constitutes appropriate AP (Advanced Placement) or transfer credit differently thananother.Also, it has long been known that the selectivity of an institution influences its retention statisticsin a positive way. For example, Astin’s work20 shows conclusively that an institution’sgraduation rate is primarily a reflection of its entering student characteristics. That is, selectiveinstitutions tend to have higher than average retention rates because they tend to have superiorresources and because of the motivating effect, for students, of a peer group with high aspirationsand superior academic

Conference Session

Mathematics Division Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ravi T. Shankar, Florida Atlantic University; Don Ploger, Florida Atlantic University; Agnes Nemeth, Florida Atlantic University; Steven Alan Hecht Ph.D., Nova Southeastern University

Tagged Divisions

Mathematics

,clear understanding of what students are expected to learn, so teachers and parents know whatthey need to do to help them. The standards are designed to be robust and relevant to the realworld, reflecting the knowledge and skills that our young people need for success in college andcareers. With American students fully prepared for the future, our communities will be bestpositioned to compete successfully in the global economy.” 32In contrast to the Common Core Initiative’s Mission, our students like straightforward mathassignments. Most of them would be able to solve problems that are in the forms ofmathematical expressions or equations. When students encounter a problem of the sort (simplifythe expressions or solve for x for example) they

Conference Session

Undergraduate Student Issues: Persistence

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cate Samuelson, University of Washington; Elizabeth Litzler, University of Washington

Tagged Divisions

Women in Engineering

of work they would be doing post-graduation, as well as the kind ofwork they would not be expected to do, and how the work related to and reflected what theywere currently learning in coursework. Further, they appreciated having the opportunity to applywhat they were learning in classes to real-life situations and problems. This provided them withgenuine problem-solving experiences that allowed them to develop additional skills that wouldbe useful in the professional realm, such as communication and collaboration skills.Stayers, in particular, described internships and/or co-ops as providing them with variousnetworking opportunities. In some cases, these relationships took the form of mentorships, wherethe engineering professionals advised

Conference Session

Innovations in Teaching and Research in Physics or Engineering Physics I

Collection

2013 ASEE Annual Conference & Exposition

Authors

Teresa L. Larkin, American University; Jessica Uscinski, American University

Tagged Divisions

Engineering Physics & Physics

Physics 100 is:  Strong  Moderate  Minimal  Not ApplicableGE-1 Critical reflections on the nature and history of beauty and MinimalAesthetic sensibilities artGE-2 Interchanging ideas and information through writing, ModerateCommunication skills speech, and visual and digital mediaGE-3 Systematic

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob Bishop, Utah State University; Matthew A Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

indicate that the effect of PBL on skills is positive, whileits effect on knowledge is negative. Combined results indicate an overall negative effect for problem-based learning. Gijbels et al. [30] recommend careful consideration of assessment methods inmeasuring problem-based learning outcomes.4.5 Active LearningPrince [61] defines active learning broadly as, “any instructional method that engages students inthe learning process.” This definition is itself broad enough to include many traditional classroomactivities such as lectures (provided students are reflecting, taking notes, or asking questions).However, in an effort to maintain contrast with traditional teacher-centered3 approaches, thesemethods are systematically dismissed by explicit

Conference Session

Design Pedagogy and Curriculum 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

William A Kline, Rose-Hulman Institute of Technology; Cory A. Hixson, Virginia Tech; Thomas W. Mason, Rose-Hulman Institute of Technology; Patricia Brackin, Rose-Hulman Institute of Technology; Robert M. Bunch, Rose-Hulman Institute of Technology; Kay C Dee, Rose-Hulman Institute of Technology; Glen A. Livesay, Rose-Hulman Institute of Technology

Tagged Divisions

Design in Engineering Education

in design orentrepreneurship fields. Specifically, it provides a means to help both novice and expertdesigners and entrepreneurs organize, communicate, refine, and reflect on their ideas. Thecanvas also provides a means of design-thinking documentation in which comparisons betweeninitial, mid, and final versions of the canvas could be used to assess student learning.The prototype version of the innovation canvas is shown in Figure 2 below and is availableonline for educators and practitioners to test, evaluate, and provide feedback36. In addition to thedetails presented in the remainder of this paper, a brief description of the canvas’s themes can befound in the appendix of this paper. The canvas is shared under a Creative Commons (CC

Conference Session

ABET Accreditation, Assessment and Program Improvement in ECE.

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ahmed S. Khan, DeVry University, Addison, IL; Aminul Karim, DeVry University, Downers Grove, IL; Jennifer A McClain, IEEE

Tagged Divisions

Electrical and Computer

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Catherine L. Cohan, Pennsylvania State University, University Park; Alexander Yin, Pennsylvania State University, University Park; Amy Freeman, Pennsylvania State University, University Park; Javier Gomez-Calderon, Penn State NK; Janice M. Margle P.E., Pennsylvania State University, Abington; Jill L Lane, Clayton State University; Dhushy Sathianathan, California State University, Long Beach; Renata S. Engel P.E., Pennsylvania State University, University Park

Tagged Topics

NSF Grantees Poster Session

emphasis on increasing the proportion of engineering majors, theToys’n MORE project seeks to increase the number of students in STEM majors at thePennsylvania State University by as much as 10 percent. Please note that any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation.This project is being conducted by the College of Engineering at Penn State through an NSF-sponsored Science, Technology, Engineering, and Mathematics Talent Expansion Program grant(STEP grant, DUE #0756992). The project involves the College of Engineering and 13 regionalcampuses in the Penn State system. These campuses offer 2-year degrees, 4-year

Conference Session

FPD 4: First-Year Engineering Courses, Part I: Multimedia, Large Classes, and TAs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kimberly C. Huett, University of West Georgia; Barbara B. Kawulich, University of West Georgia; P.K. Raju, Mechanical Engineering Dept, Auburn University,Al; Chetan S Sankar, Auburn University

Tagged Divisions

First-Year Programs

pedagogical changes made throughout the study and facilitatedsharing of feedback to make course improvements. Qualitative data were collected through aseries of open-ended surveys and focus groups to determine the effectiveness of the instructionalmethods. Data were collected after each semester, and results were disseminated to the team toguide course modifications for the next semester.Qualitative research, known for its flexibility in theoretical frameworks and methodologies,emphasizes the importance of context, researcher/participant engagement, perceptions ofparticipants, inductive data analysis, and reflection by researchers and participants.13 Quality ofresearch findings in qualitative research is established through the “high standards of

Conference Session

Classes in Entrepreneurship

Collection

2013 ASEE Annual Conference & Exposition

Authors

Daniel Raviv, Florida Atlantic University

Tagged Divisions

Entrepreneurship & Engineering Innovation

compare to topics in same sections Using puzzles to solve math problems; Self-explanatory or useless tipsActivity: Explain what is wrong with speed limit signs:From the user’s point of view: What’s wrong with speed limit sign/driving/enforcement (forexample, we don’t feel “guilty” by driving above it). Suggest ideas to solve the problem.Students’ responses:Right: Max speed limit required by law Higher speed limits in Highways Safe way not to get a speeding ticket People can agree that the octagonal shape of a stop sign is an unmistakable symbol Reflective properties of signs and reflectors make it easier to drive during the nightWrong: People do not follow the speed limit Speed limit signs are

Conference Session

Software and Web-based Learning in ECE

Collection

2013 ASEE Annual Conference & Exposition

Authors

Radian G Belu, Drexel University (Tech.); Irina Nicoleta Ciobanescu Husanu, Drexel University (Tech.)

Tagged Divisions

Electrical and Computer

activelyinvolved in the learning process (based on the results of each survey feedback), which is inagreement with its decision to register in the course. The students feel very comfortable learningat its own pace but not so much deciding in what order to learn. It is very plausible that, whilethe course materials and virtual lab are available at any time, the sequential presentation of someof the scientific content of the modules limit in what order the modules could be completed. Thetasks to complete each module are clearly stated and the perceived interactivity of the course andexperiments reflects that the choices that students make are meaningful and not just not for thesake of making choices. However, in general, the responses amongst the surveyed

Conference Session

Collaborative Projects in Architectural Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob Nathan Dunn, University of Idaho Integrated Design Lab; Kevin Van Den Wymelenberg; Sherry McKibben, IURDC, University of Idaho

Tagged Divisions

Architectural

amount of change (AE #3, AE #6) deal with the perceptions ofthe students own discipline as collaborative and their understanding of the integrateddesign process. The small percentage difference does not necessarily reflect a lowlevel of comprehension of that particular question, but that it started with a high overalllevel of understanding.The questions that showed medium to high levels of change more directly addressdesign issues and performance metrics about daylight and energy. These questionsreveal whether or not the students were beginning to understand the complexrelationship between design and performance. Figure 4 shows the results fromimportant individual questions that relate to this particular learning objective organizedfrom most

Conference Session

Outreach Along the K-12 Pathways to Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kelly Doyle P.E., University of Nevada, Reno; Lelli Van Den Einde, University of California, San Diego; Catherine W. French, University of Minnesota, Twin Cities; Heidi A Tremayne P.E., Pacific Earthquake Engineering Research Center; Sean P Brophy, Purdue University, West Lafayette

Tagged Divisions

K-12 & Pre-College Engineering

education research focused on young learners raises questions such as howengineering experiences can be integrated into existing school curricula, and which engineeringframeworks are significant, engaging, and inspiring to students 7,8. There are many differenttheories of how to engage students in what they are learning. One of these is ExperientialLearning Theory (ELT), which was developed by educational theorist David Kolb and hiscolleagues. In ELT, “knowledge is created through the transformation of experience” 9, andultimately provides students with the opportunity to directly involve themselves in a learningexperience, reflect on their experiences using analytic skills, and eventually gain a betterunderstanding of the new knowledge and retain

Conference Session

Mathematics Division Technical Session 4

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hassan Moore, University of Alabama, Birmingham

Tagged Divisions

Mathematics

the fall of 2008, there was one section with 50students completing the course. Last fall, there were 69 students completing the course in onesection and 49 in the other. Even the spring section has grown to the initial fall 2008 levels asthere are currently 54 students in the course, up from the 29 students completing the course in thefirst spring offering of 2009. I would like to reiterate that these numbers reflect only thosestudents who have completed the course, since there are a handful of students who drop thecourse every semester.For direct student comments, all of the IDEA Survey comments have been gathered, beginningwith the initial offering of the course in fall 2008. Below are all of the comments with thekeyword project. When asked

Conference Session

Graduate Studies Division (GSD) Technical Session 8: Professional Development for Graduate Students

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rachel Elisabeth Gehr, Purdue University; Emily Garcia, Purdue University; Stephen McBride, Purdue University; Joseph Vincent Rispoli, Purdue University ; Christopher Greg Brinton; Suzanne Swaine

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

relationships or be used throughout a mentorshipexperience.DevelopmentThe first decision was to set the topics for the Mentorship Seminar Series. The College ofEngineering Mentoring Fellows reflected on the gradSERU data findings, unmet needs post-developing the IDP, and personal mentorship experiences during the brainstorming phase, withthe final topics being elected on a majority-vote basis. Topics elected to be pursued through theMentorship Seminar Series included: (1) creation, implementation, and other vital resources forgraduate student success under the title “Creating Individual Development Plans,” (2)“Navigating Toxic Environments, (3) “Building Healthy Mentorship Relationships, and (4)“Mentoring, Managing and Diversifying Graduate Student

Conference Session

Materials Division (MATS) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Olubiyi Obada, Ahmadu Bello University, Nigeria; Simeon Akindele Abolade, Atlantic Technological University, Ireland; Shittu Babatunde Akinpelu, Atlantic Technological University, Ireland; Ayodeji Nathaniel Oyedeji, Ahmadu Bello University, Nigeria; Emmanuel Okafor, King Fahd University of Petroleum and Minerals, Saudi Arabia; Cynthia Ujuh Odili, Ahmadu Bello University, Nigeria; Vanessa Faustina Ogenyi; Sokoga Victor Ategbe, Ahmadu Bello University, Nigeria; Adrian Oshioname Eberemu, Ahmadu Bello University, Nigeria; Fatai Olukayode Anafi, Ahmadu Bello University, Nigeria; Abdulkarim Salawu Ahmed, Ahmadu Bello University, Nigeria; Akinlolu Akande, Atlantic Technological University. Ireland; Raymond Bacsmond Bako

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

scholarly pursuits, Ayodeji demonstrates a keen interest in engineering education. He has made significant contributions to his field through a prolific publication record and active participation in academic conferences. Possessing a diverse skill set, including strong communication abilities and analytical proficiency, Ayodeji is also an avid reader and enjoys nature. His trajectory reflects a commitment to continuous growth and making a meaningful impact within engineering and beyond.Dr. Emmanuel Okafor, King Fahd University of Petroleum and Minerals, Saudi Arabia Emmanuel Okafor holds a Ph.D. in Artificial Intelligence from the University of Groningen, Netherlands, specializing in computer vision, machine learning, and

Conference Session

Principal Skinner's Secrets: Cultivating STEM in Remote Locations, Steamed Hams!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Marcelo Caplan, Columbia College

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

) • Connectivity Problems (17 Voices) • Challenges and Obstacles of Virtuality (15 Voices) • Difficulties with Specific Content (9 Voices) • Personal Factors (6 Voices)Student statements about obstacles to learning during the course reflect an uneven adaptation tovirtual teaching. Challenges are associated with connectivity and understanding specific topics such asmathematics and circuit laws.3) What changes to the course could improve your learning? When analyzing the answers to thisquestion, the following emerging constructs can be seen (71 student voices) • Suggestions to Improve interaction (43 voices) • Request for More Practices and Activities (37 Voices) • Recommendations to Improve Communication (20 Voices)Below is a

Conference Session

Reimagining Pathways: Nurturing Diversity and Identity in STEM Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Meghan Williams, Elizabethtown College; Mark Brinton, Elizabethtown College; Kurt M Degoede, Elizabethtown College; Elizabeth Dolin Dalton

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

questionnaire refers to emotions you may experience as part of this class (EGR 210 - Electric Circuits). It is divided into three sections: (a) your emotions related specifically to testing in this course, (b) your emotions related to Circuits class in general, and (c) your experience as part of the larger Engineering program. Please reflect on your experiences during this semester as you answer the questions below.* Required Unique Identifier 1. Copy and paste the unique identifier you received in your email: *Emotions during Electric Circuits testing and examsAttending college classes can create different feelings. This part of the questionnaire refers specifically to emotionsyou may experience during exams in EGR 210 - Electric Circuits. Before

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Nathaniel David Martin, Miami University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

limitation is mostlikely due to the FPGA’s ability to connect two ALMs during the routing process, where a wirewith a width larger than 1120 cannot be connected between two ALMs. The data we report onlygoes up to a maximum bit-width of 1024, so this limitation is not reflected in our graphs. Also,the Goldschmidt divider has a smaller range than the other dividers because it was not able tosynthesize above a width of 244. This is due to the limited number of DSP blocks.4.1 AreaThe FPGA used in these tests is the 5CGXFC9E7F35C8 from the Cyclone V line. This FPGA ischosen due to its large amount of available ALMs and DSP blocks. The maximum ALMs that ourFPGA has in this study is 113,560. Very few dividers in this study approached this maximumnumber of

Conference Session

Graduate Studies Division (GSD) Technical Session 3: Advising in Graduate Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hayden Ross Asbill, Campbell University; Mitchell Ann Letchworth, Campbell University; Anastasia Marie Rynearson, Campbell University; Christina A. Pantoja, Campbell University

Tagged Divisions

Graduate Studies Division (GSD)

Conference Session

ELOS Technical Session 5 - Remote, Virtual, and Digital Realities

Collection

2024 ASEE Annual Conference & Exposition

Authors

Fernando Merida, University of Florida; Sindia M. Rivera-Jiménez, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

standard deviation and the number of participants for each semester. The Likert-scale used in the surveyconcepts across various ranged from "Excellent" (5) to "Poor" (1), enabling participants to rateinstructional delivery formats. The their perceptions regarding the effectiveness of the take-home kits ormodules' effectiveness is widely desk-scale modules in aiding their understanding of theoretical concepts underlying physicochemical phenomena and unit operations.acknowledged among students,reflected in small standarddeviations. Emphasizing the importance of face-to-face components in blended learning, thesemodules received high

Conference Session

Frameworks and Comparative Analyses in ECE Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Iman Shayegani, University of Cincinnati; Ibrahim Nihad Awartani, University of Cincinnati; David Allen Evenhouse, University of Cincinnati; So Yoon Yoon, University of Cincinnati; Gregory Warren Bucks, University of Cincinnati

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

to improve student teamwork experience and academic performance in circuits analysis course Proceedings of the 129th American Society for Engineering Education (ASEE) Annual Conference and Exposition, 2022 https://peer.asee.org/40873[34] *S. Claussen, V. Dave. “Reflection and metacognition in an introductory circuits course,” Proceedings of the 124th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Columbus, Ohio, 2017. https://peer.asee.org/28788[35] *B. H. Ferri, D. M. Majerich, N. V. Parrish, A. A. Ferri. “Use of a MOOC platform to blend a linear circuits course for non-majors,” Proceedings of the 121st American Society for Engineering Education (ASEE) Annual Conference and

Conference Session

Community Building and Student Engagement

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tridib Kumar Saha, Purdue University ; Jason Morphew, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

results from the preceding analysis,including further interpretation of the results, and propose some possible explanations.Beginning with demographic variables, Asian students reported stronger beliefs in the value ofcollaborative learning compared to white students. This may reflect cultural differences inlearning styles, or the value placed on group harmony and collective effort. Additionally,Mechanical Engineering (ME) and Industrial Engineering (IE) students showed lowercollaborative learning beliefs compared to their counterparts in Electrical and ComputerEngineering (ECE). These findings suggest that there may be disciplinary differences in thevalue and integration of collaborative learning in different degree programs.Turning to other

Conference Session

Women in Engineering Division (WIED) Technical Session 5 - Careers and Professional Identity

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kristin L Schaefer P.E., University of Houston; Jerrod A Henderson, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

gender choice of “Other”was excluded due to the limited number of degrees awarded, reported only for 2019. Our“Native” category reflects combining the racial reporting options of “American Indian/AlaskaNative” and “Native Hawaiian/Other Pacific Islander.” Similarly, our “Multi” category reflectscombining “Foreign,” “Multiracial,” and “Unknown.” Other racial categories are used asreported by ASEE (e.g., “Asian,” “Black,” “Hispanic,” and “White”). Procedurally, the data was first downloaded into a CSV file. A self-generated Jupyter filewas created to clean the data and create the tidy format [21] XLSX files needed by Tableau forcreating the infographics [11]. Once the charts were styled with shapes, colors, and categorieschosen for visual