Collection

2015 ASEE Workshop on K-12 Engineering Education

Authors

Mohamad Musavi, University of Maine; Cary Edward James, Bangor High School; Ali Abedi, University of Maine

Conference Session

Concurrent Paper Tracks - Session I

Collection

2015 ASEE International Forum

Authors

Maria Claudia Alves, Texas A&M University; Meghan M. Alexander, Texas A&M University; Victor Manuel Camara-Poot, Yucatan Government Ministry of Education; Martha Elena Ortega, CANIETI

Tagged Topics

Diversity, International Forum

Conference Session

Engaging Upper Level Classes

Collection

2005 Annual Conference

Authors

Ronald Welch

lesson objectives must be assessed at theconclusion of each lesson.II.B. Board Notes Page 10.1217.4Armed with learning objectives, the teacher develops board notes detailing the activities andmaterial to be presented on the chalkboard (or other medium) always with an eye on what is the Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationirreducible minimum needed. Our classroom (board) notes are not just a stream of consciousnessas some professor classroom notes seem to reflect, but bite-size chunks of

Conference Session

Multidisciplinary Design

Collection

2005 Annual Conference

Authors

Richard Schultz; Arnold Johnson

corresponding torque rod activation. The STARSHINE project has an overall mission of introducing K-12 students to space technology, and they are involved in polishing the high-quality mirrors attached to the surface of the sphere. The spin controller will enable the orbiting satellite to be viewed with the naked eye, as sunlight reflects off the mirrors.Launch Vehicle: NASA Space ShuttlePersonnel: ~ 4 EE capstone design students, ~ 5 EE master’s-level graduate studentsBudget: ~ $25K in equipment, provided by Broad Reach Engineering.Sustainability: Not sustainable; one-time development project.Remarks

Conference Session

Mechanics, Machine Design & Mechanisms

Collection

2005 Annual Conference

Authors

Bongsu Kang

excitation. Page 10.832.12Irregular Motion: Chaos There is a class of nonlinear dynamic behavior that is referred to as chaos or chaotic motion Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationin mechanical dynamic systems4. Linear and nonlinear oscillatory motions are in generalcharacterized by periodicity. Periodicity reflects a high degree of regularity and order. Dynamicbehavior that is not stationary, periodic, or quasi-periodic is called aperiodic or irregular. Achaotic motion differs from

Conference Session

Track 8: Technical Session 3: Exploring Engineering Faculty Views on their Role in Broadening Participation in Engineering

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Gerica Brown, University of Dayton

Tagged Topics

CoNECD Paper Sessions, Diversity

overview ofeach faculty participant, of which six were female and the remaining 10 were male. Engineeringfaculty participants represented each of the core engineering disciplines, with ChemicalEngineering, and Mechanical Engineering each having three faculty participants, twoparticipants representing Civil Engineering and Electrical and Computer Engineering, and theremaining six being from Engineering Technology and Systems related disciplines. Thisinformation coupled with the information in Table 1 demonstrates the diverse facultyperspectives reflected in this study with regards to gender, discipline, and years of teaching. Thelack of institutional diversity is identified as a limitation of this study.Table 1: Participant Information

Conference Session

Track 8: Technical Session 2: Adapting the Gender Based Analysis Plus (GBA+) to Engineering: A Digital Tool to Aid Inclusive Design

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Audrey Anne Blanchet, Université de Sherbrooke; Nathalie Roy, Université de Sherbrooke

Tagged Topics

CoNECD Paper Sessions, Diversity

interaction influences howwe may experience government policies and initiatives” [2]. GBA+ thus aligns with a context ofevolving social norms, the fight against inequalities, and the adoption of measures that reflect thediversity of experiences and the values of EDI. This intersectional lens acknowledges thatindividuals have different identities that influence their experiences differently [3].Intersectionality being at its core, this tool provides a broader understanding of specific needsand allows decision-makers to address them through adapted solutions.Therefore, GBA+ enables the development of more rigorous community-centred solutions toaddress EDI. Accordingly, this analytical tool can be applied in other contexts such asengineering design

Collection

2024 ASEE North Central Section Conference

Authors

Mohammed Ferdjallah, Marshall University; Asad Salem; Yousef Sardahi, Marshall University

Tagged Topics

Diversity

be guided in a manner reflecting the present challenges of technologies witnessed in the industry.• Plan for a set of interactive sessions which would include the conduct of industry-led workshops, guest lectures, and virtual reality tours of energy facilities. All these engagements will bring the students and faculty up to speed with the current industry as well as develop practical understanding of renewable energy systems.• Create internships and co-op programs in partnership with industry Structures that will allow

Conference Session

K-12 Engineering Resources: Best Practices in Curriculum Design, Part 2 of 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kristin M Brevik, The University of North Dakota; Bradley Bowen, North Dakota State University; Frank M. Bowman, University of North Dakota; Kristi Jean, North Dakota State College of Science

Tagged Divisions

K-12 & Pre-College Engineering

which enhance overall student learning byaffirming that students’ contributions and ideas have value.‘You’re Hired!’ is designed to be a series of short term interventions that give students authenticexperiences that can later be built on in the classroom. During the activity teachers are availablefor student support, but also have the opportunity to stand back and observe student learning.This allows teachers to see gaps within students’ ability to utilize educational material and takenotes. In the following days in the classroom, teachers now have a personal experience forstudents to reflect on while revisiting key material. For example, an English teacher at oneschool realized that while students had learned about citations, many of the

Conference Session

Design in Engineering Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ala A. Qattawi, Automotive Engineering Department at Clemson University –International Center for Automotive Research (CU-ICAR); Paul J. Venhovens, Clemson University; Johnell Brooks, Clemson University

Tagged Divisions

Design in Engineering Education

Conference Session

Student Beliefs, Motivation and Self Efficacy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Micah Stickel, University of Toronto; Siddarth Hari, University of Toronto; Qin Liu, University of Toronto

Tagged Divisions

Educational Research and Methods

study.Table 3. Descriptive Statistics of Indicators for Cohort Comparisons Traditional Cohort Inverted Cohort % or % or n Mean (SD) n Mean (SD) Learning Style - Active/Reflective: Reflective 266 53% 285 58% Learning Style - Sensing/Intuitive: Sensing 266 61% 285 63% Learning Style - Visual/Verbal: Visual 266 79% 285 81% Learning Style - Sequential/Global: Sequential 266 60% 285 62% Prior academic

Conference Session

Cooperative & Experiential Education Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mary Yvonne Lanzerotti, Air Force Institute of Technology; Maggie Varga, SOCHE; Sean J. Creighton, SOCHE; Derrick Langley, Air Force Institute of Technology; Diana Lynn Cahill, Air Force Institute of Technology; Richard K. Martin, The Air Force Institute of Technology

Tagged Divisions

Cooperative & Experiential Education

Program will bediscussed, and the results and findings will be compared with results from the 2012 Program.The views expressed in this document are those of the authors and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government. Page 24.1279.4IntroductionTo meet the technology needs of our increasingly complex global society, engineers in the 21stcentury are now expected to exhibit key attributes to ensure their success and the success of theengineering profession, according to the National Academy of Sciences in their groundbreaking2004 report entitled The Engineer of 2020

Conference Session

CIP Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Samantha Ruth Brunhaver, Stanford University; Shannon Katherine Gilmartin, Stanford University; Michelle Marie Grau, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

College Industry Partnerships

Conference Session

Research Initiatives

Collection

2013 ASEE Annual Conference & Exposition

Authors

Helena Isabel Scutt, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University; Samantha Ruth Brunhaver, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

-educated women have increased their share ofthe overall workforce”1. The gender gap in STEM employment is not an anomaly; it reflects thedisparity in the relative numbers of men and women pursuing STEM education, of which the K-12 years, particularly high school, are this paper’s focus.Female high-school students are more likely to aspire to attend college than are their malecounterparts, and young women enroll in college, persist, and graduate from it at higher rates aswell2. So why does this STEM-specific gap exist? This paper employs the tools of “genderanalysis” to address this question.Gender analysis provides a framework for thorough analysis of the differences between women’sand men’s “gender roles, activities, needs, and opportunities in a

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Malinda Faber, The Friday Institute for Educational Innovation at North Carolina State University; Alana Unfried, North Carolina State University; Eric N. Wiebe, North Carolina State University; Jeni Corn, Friday Institute for Educational Innovation, NC State University; Latricia Walker Townsend; Tracey Louise Collins, North Carolina State University

Tagged Divisions

Educational Research and Methods

example, an original pilot item read, “I would like to learn how tomake safer cosmetics.” The engineering education experts and researchers did not find this itemto be gender neutral and removed it from the construct. They also aimed to make the engineeringattitudes section a more comprehensive measure by including items relevant to engineeringcareers requiring a Bachelor’s degree as well as those not requiring a Bachelor’s degree, liketechnologists. The team developed new questions to include words like “design,” “create,” and“imagine” as well as words like “build” and “fix.” They renamed the engineering section“Engineering and Technology” to reflect the new focus on the work of not only engineers butalso of technologists and other skilled

Conference Session

Electrical and Computer Engineering (ECE) Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alexander Ganago, University of Michigan; Hongwei Liao

Tagged Divisions

Electrical and Computer

entireclass, we award every participant of each survey with 0.1% extra credit on the 100%scale for the course. The maximal number of points that a student can earn viaparticipation in surveys was 1.6% in the Fall 2012; for comparison, the reward for earlysubmission of homework was ~3-fold higher. We believe that extra credit forparticipation is justified, because thoughtful feedback requires reflection on learning andteaching, which in turn stimulates meta-communication and comprehension of the coursematerial. The average amount of extra credit for participation in surveys earned bystudents in the Fall 2012 was 0.86%, while the width of each letter grade bin was 4%(straight scale, no “curve”); thus extra credit points only slightly influenced the

Conference Session

Software Engineering Pedagogical Approaches

Collection

2013 ASEE Annual Conference & Exposition

Authors

John C. Georgas, Northern Arizona University

Tagged Divisions

Software Engineering Constituent Committee

architectural styles is that they go beyond simple narratives of designexperiences, and capture design expertise that has been refined through careful reflection in aneffort to codify important lessons. By providing students with a solid foundation inunderstanding the applicability, key characteristics, advantages, and disadvantages ofarchitectural styles, educators can provide learners with valuable starting points for their owndesign activities as well as build expertise in identifying critical design trade-offs.The instruction of architectural styles, however, remains challenging, primarily due to afundamental disconnect between the dynamic nature of the software compositions thatarchitectural styles model and the static artifacts most commonly used

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Brian R. King, Bucknell University; Ashwin Satyanarayana, New York City College of Technology

Tagged Divisions

Computing & Information Technology

quite pleased to work on an interesting, relevant large-scaledataset of their choice, and see how the methods taught would work in practice; their enthusiasmwas reflected in the results obtained.6.2 Reflection and DiscussionOne of the biggest challenges we faced with the design of the course was from the unexpectedinterest from non-CS majors. While this was a pleasing observation, it did require us toreconsider the depth of some material, and perhaps consider some different techniques in thefuture, as the interest is continuing to expand. We are strongly considering offering two variantsof the course: one course would be the existing data mining course as an elective for thecomputer science major, with a prerequisite of taking a course on data

Conference Session

Thermal Sciences

Collection

2013 ASEE Annual Conference & Exposition

Authors

Georg Pingen, Union University

Tagged Divisions

Mechanical Engineering

be fair with one student taking particularissue with the fact that their grade depended in part on peer evaluations. There was alsoexpressed concern regarding the fact that not all group members could be assigned a 10/10 on thepeer evaluations (see Appendix 1). Finally, while not asked as part of the EGR 450questionnaire, the same student group indicated unanimous support for the online screencasts inthe EGR 250 course questionnaire during the previous semester. The primary student request Page 23.1158.13was the addition of extra screencasts with example problems. The student support for the TBLformat is further reflected in the

Conference Session

First Year Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Xingyu Chen, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Russell Andrew Long, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

effect is reflected in the coefficientb1 of the interaction between Ri and Mi. Additionally, we run multiple regression analyses forfirst-time engineering students using almost the same models except that Ei is deleted.Logistic regression models are applied to study dichotomous outcome variables that measurefirst-time student course-taking behaviors. The form of logistic models differs from multipleregression models (1) and (2) only in the outcome variables: Y01FRA = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (3) Y01W = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (4) Y01S = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (5)Y01FRA in (3) is an indicator of full course load

Conference Session

Engineering in K-12 Science and Mathematics Standards

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tamara J Moore, University of Minnesota, Twin Cities; Kristina Maruyama Tank, University of Minnesota, Twin Cities; Aran W Glancy, University of Minnesota, Twin Cities; Jennifer Anna Kersten, University of Minnesota, Twin Cities; Forster D Ntow, University of Minnesota, Twin Cities

Tagged Divisions

K-12 & Pre-College Engineering

. In the K-12 setting, engineering can help students learn to use informed judgment to make decisions, which can lead to informed citizenry. Students must be empowered to believe they can seek out and troubleshoot solutions to problems and develop new knowledge on their own. Engineering requires students to be independent, reflective, and metacognitive thinkers who understand that prior experience and learning Engineering from failure can ultimately lead to better solutions. Students must also learn to manageThinking (EThink) uncertainty, risk, safety factors, and product reliability. There are additional ways of

Conference Session

FPD 8: Engineering Math Issues

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tanya D Ennis, University of Colorado Boulder; Jacquelyn F. Sullivan, University of Colorado, Boulder; Beverly Louie, University of Colorado, Boulder; Daniel Knight, University of Colorado, Boulder

Tagged Divisions

First-Year Programs

whole, Figures 11 and 12 show ALEKS performancefor the course. Figure 11. Initial ALEKS assessment pie chart for overall class performance. Figure 12. Final ALEKS assessment pie chart for overall class performanceTable 5 reflects the initial and post assessment results and percent increase for each topic. Theseresults reflect significant growth for the class as a whole for all topics. Table 5. Class performance—mastery of ALEKS topics: initial and final assessment. Class Initial Class Final ALEKS Objectives/Topics % Increase Assessment Assessment

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trina L. Fletcher, Florida International University; Simone Nicholson, Florida International University; Christopher Alexander Carr, George Mason University; Tina Fletcher; Brittany Boyd

Tagged Topics

Diversity

Tagged Divisions

Engineering and Public Policy Division (EPP)

institution’s goal of reaching R1 status (Ford, 2023; Weissman, 2023).The Carnegie Classification® is the leading framework for recognizing and describinginstitutional diversity in U.S. higher education. The Carnegie Commission on Higher Educationdeveloped the system in 1973 to support its research and policy analysis program. Derived fromempirical data on colleges and universities, the Carnegie Classification® was updated in 1976,1987, 1994, 2000, 2005, 2010, 2015, 2018, and 2021 to reflect changes among colleges anduniversities. The system includes any institution of higher education that conferred at least onedegree during 2019-20, as reported through the National Center for Education Statistics (NCES)Integrated Postsecondary Education Data System

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan, Dearborn; Larnell Moore, University of Michigan, Dearborn; Summit Shrestha, University of Michigan, Dearborn; Zheng Song, University of Michigan, Dearborn; Jin Lu, University of Georgia; Qiang Zhu, University of Michigan, Dearborn

Tagged Divisions

Computing and Information Technology Division (CIT)

the GPCG and AC methods asshown in the histograms 11a, 11b, 11c, 11d, exhibit distinct trends. Both Q1-GPCG and Q1-AChave approximately symmetrical feedback distributions with skewness values of 0.11, thoughQ1-AC has a slight bias towards higher ratings, and Q1-GPCG shows a neutral pattern. Incontrast, Q2-AC shows a skewness of -0.96, reflecting a strong preference for higher ratings,while Q2-GPCG, with a skewness of 0.96, tends towards lower ratings. Observation 1 The Additional Context(AC) method, providing course-relevant information, is better for generating feedback on project proposals as it not only offers feedback but also responds to questions regarding proposal rubrics related to the course, which cannot be answered by

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kamryn G. Zachek, University of New Mexico; Anjali Mulchandani, University of New Mexico; Sydney Donohue Jobe, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

low values correspond to ‘veryweak/unimportant/little’ and high values correspond to ‘very strong/important/much.’ Most ofthe participating students had no previous experience with research before the Fellowship, whichoffers an explanation for the increase in response for students’ general perception of themselvesas a researcher. Of the three blocks of interest, the lowest numerical responses (Likert responseoption 1-4) from students in the pre survey consistently came from questions in the “identity”section related to their identity as a researcher. Generally, in the post results the mean value ofresponses increased, but only about half of the respondents reflected a somewhat strong or better(Likert response options 5-7) relationship to the

Conference Session

Civil Engineering Division (CIVIL) Technical Session - Effective Teaching 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Julie Anne Wildschut, Calvin University

Tagged Divisions

Civil Engineering Division (CIVIL)

practice with testing. Studentsparticipating in blocked practice had better practice performance, but those participating ininterleaved practice had better test performance in both trials. Interleaved practice helps studentsdiscriminate between various kinds of problems and learn the appropriate method for each one. Itrequires that students organize tasks and solution methods. Therefore, during interleaved practicestudents are practicing two things: the skill being taught as well as the skill of identifying whichsolution method should be used [5]. Interleaved practice naturally covaries with distributedpractice. Therefore, some of the benefits of interleaved practice may reflect the benefits ofdistributed practice, such as practice pulling from

Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

Justin Charles Major, Rowan University; Richard Tyler Cimino, New Jersey Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Mindfulness Uniqueness MindfulnessIndicate how frequently or infrequently you currently have each experience. Pleaseanswer according to what really reflects your experience rather than what you thinkyour experience should be. Please treat each item separately from every

Conference Session

DSA Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amirreza Mehrabi, Purdue Engineering Education; Jason Morphew, Purdue University, West Lafayette

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

,possibly reflecting the multifaceted nature of educational environments, research designs, andmethods of inducing CF. This study aims to build on the foundation laid by previous research,offering new insights into the nuances of CF's effects in educational settings and its implicationsfor both theory and practice. The variability of results from studies of CF can be partially attributed to differences inresearch paradigms and how CF is induced. In the first paradigm, CF is induced through therepetition of different tasks. The impact of CF is then measured by comparing performance on thefirst task to later tasks. For example, Ackerman and Kanfer [12] examined the effects of CF bycomparing final scores on the SAT for groups who took the exam

Conference Session

Equity and Belonging

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aubrey Wigner, Colorado School of Mines; Dean Nieusma, Colorado School of Mines; Catherine Chase Corry, Colorado School of Mines; Julianne Stevens, Colorado School of Mines

Tagged Topics

Diversity

Tagged Divisions

Equity, Culture & Social Justice in Education Division (EQUITY), Liberal Education/Engineering & Society Division (LEES)

, like, that’s exactlywhat we’re focusing on… but the numbers are kind of how we define it in our heads which canlead to assumptions.” (Female, white)“…then they tokenize you. So, it’s like they don’t actually stand in your corner, but they’ll useyour photo to be like we’re so cool and diverse.” (Female, Chinese Asian)The university culture towards failure further exacerbates the often-hidden inequities and stressesthat can lead to feeling left out at a technical university. Despite over 30 years of scholarshipexploring how failure can lead to supporting learning outcomes given chances for reflection,iteration, and post-failure educational support [9], students at Mines largely see themselves asfacing an institution that does not support failure