Conference Session

Workforce Preparation at the Two-year College

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Alicia Boudreaux Kiremire, FlowStream Management LLC; Gerry Caskey, Louisiana Delta Community College; Marvin Nelson Jr., Bossier Parish School for Technology & Innovative Learning; Sidney Taylor Thomas, Applied Research for Organizational Settings (AROS); Michael K. Swanbom PE, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

Two-Year College

, while 97 millionnew roles may emerge that are more adapted to the new division of labour between humans,machines and algorithms” [1].This situation presents a large opportunity, and dire need, for a prepared skilled technicalworkforce (STW). Project COMPLETE aligns with the National Science Board’srecommendations to create more STW opportunities for Americans by a) promoting the messagethat skilled technical work can lead to many educational and career pathways, and b) addressinglocal workforce needs through partnerships among a two-year college, university, K-12 schools,and industry partners [2].To build the STW in Louisiana, Career and Technical Education (CTE) plays an important rolein K-12 education. During the 2017-2018 school year

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tiago R. Forin, Rowan University; Stephanie Farrell, Rowan University; Harriet Hartman, Rowan University; Sarah K. Bauer, Rowan University; Stephanie Lezotte, Rowan University

Tagged Topics

Diversity, NSF Grantees Poster Session

Foundation.References 1. T.S. Popkewitz and L. Fendler, Critical Theories in Education: Changing Terrains of Knowledge and Politics. Psychology Press, 1999. 2. P. Layne, “Diversity by Numbers,” Leadership and Management in Engineering, vol 1 ed. (4), pp. 65-71. Oct, 2001. 3. D. Riley, A. Slaton, and A. L. Pawley, “Inclusion and Social Justice: Women and Minorities in Engineering.” in Cambridge Handbook of Engineering Education Research, A. Johri and B. Olds, Ed., Cambridge University Press 2014. 4. B.M. Ferdman, “The practice of inclusion in diverse organizations,” in Diversity at work: The practice of inclusion, B. Ferdman and B. R. Deane, Ed. New York: Wiley 2014, pp 3-54. 5. R. Jost, Benchmarks for Cultural Change in

Conference Session

Career Advancement Through Engineering Leadership Development

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Michael B. O'Connor, New York University; Elizabeth Zofia Bialek PE, American Society of Civil Engineers; East Bay Municipal Utility District; Susan Davis, American Society of Civil Engineers

Tagged Divisions

Engineering Leadership Development

Paper ID #34617An Integrated Vision of Management and Leadership for Delivering21st-century Civil InfrastructureMr. Michael B. O’Connor, New York University Michael O’Connor, Retired Professional Civil Engineer (Maryland and California), M.ASCE, is a mem- ber of the ASCE Committee on Developing Leaders, History and Heritage, Civil Engineering Body of Knowledge (CEBoK), and Engineering Grades. Michael has been a practicing Civil Engineer with over 50 years of engineering, construction, and project management experience split equally between the pub- lic and private sectors. Programs ranged from the San Francisco Bay Area

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Stephanie Claussen, San Francisco State University; Brent K. Jesiek, Purdue University at West Lafayette (COE); Carla B. Zoltowski, Purdue University at West Lafayette (COE); Shiloh James Howland, Brigham Young University

Tagged Topics

Diversity, NSF Grantees Poster Session

Technology Studies (STS) from Virginia Tech. Dr. Jesiek draws on expertise from engineering, computing, and the social sciences to advance under- standing of geographic, disciplinary, and historical variations in engineering education and practice.Dr. Carla B. Zoltowski, Purdue University at West Lafayette (COE) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. Prior to her appointment in ECE, Dr. Zoltowski was Co-Director of the EPICS Program. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering

Conference Session

Making in Design Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew Wettergreen, Rice University; Joshua Brandel

Tagged Divisions

Design in Engineering Education

much force to apply when using a tool, or identifying defects on a piece of materialto a great level of detail. Appendix B is included to provide an example of a workshop duringwhich students receive expert demonstration and supervised practice with feedback. Thisputting-things-together workshop is conducted on the first day of class and serves the purposeof introducing students to the apprenticeship style of learning including components of lecture,expert demonstration, practice, and feedback. Through this apprenticeship model, students receive a cycle of information,demonstration, practice, and feedback on their quality of work. This cycle is displayed in Figure1. The hope is that this cycle of improvement allows students to approach a

Conference Session

Engineering Technology Curriculum and Programs

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Riem Rostom, Indiana State University; Sheikh Fahad Ferdous, Indiana State University; A. Mehran Shahhosseini, Indiana State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

attendance and participation (Att&P), assignmentsand quizzes (A&Q), two term exams & a comprehensive final exam (E), group project (P). Forfall 2019 online: Att&P 10%, A&Q 30%, E 45%, and P 15%.b. Challenges encountered by the instructors:The three instructors individually detailed the challenges they encountered in developing theircourses and teaching them. These are listed in Table 1 under the detailed list in the secondcolumn. Then these challenges were analyzed, organized, and grouped to form the first columnwith combined topics on identified challenges that were used to develop the rubric for allcomparisons. For example, the first row has many challenges that could all be combined underthe challenges on the left. And the

Conference Session

Environmental Engineering Division Technical Session 3: Teaching Environmental Engineering in the COVID-19 Era

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

David V.P. Sanchez, University of Pittsburgh; Tony Lee Kerzmann, University of Pittsburgh; Claire P. Chouinard, University of Pittsburgh; Gregg P. Kotchey, University of Pittsburgh

Tagged Topics

Diversity

Tagged Divisions

Environmental Engineering

in-personexperiences that were inadequately reproduced virtually. Among the student comments, therewas a strong correlation to the lack of personal engagement, increased distractions, decreasedmotivation, hesitancy to engage in class discussions and the lesser ability to develop rapport withpeers and professors.References[1] Z. Mseleku, “A Literature Review of E-Learning and E-Teaching in the Era of Covid-19Pandemic,” International Journal of Innovative Science and Research Technology. 2020. 5, 10:588-597.[2] E. Dorn, B. Hancock, and J. Sarakatsannis. "COVID-19 and student learning in the UnitedStates: The hurt could last a lifetime." 2020. McKinsey & Company.[3] T. Chen, L. Peng, and X. Yin, "Analysis of user satisfaction with online

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Zhaohong Wang, California State University, Chico; Jing Guo, California State University, Chico

Tagged Divisions

Computing and Information Technology

review,” Electronics, vol. 9, no. 2, p. 272, 2020.[15] M. Prakash and A. Abdrabou, “On the fidelity of ns-3 simulations of wireless multipath tcp connections,” Sensors, vol. 20, no. 24, p. 7289, 2020.[16] N. Kuse and B. Jaeger, “Network simulation with ns-3,” Network, vol. 67, 2020.[17] N. Jovanovi´c and A. Zaki´c, “Network simulation tools and spectral graph theory in teaching computer network,” Computer Applications in Engineering Education, vol. 26, no. 6, pp. 2084–2091, 2018.[18] Q. Gu, Y. Zhang, and H. Yang, “Application of “computer network teaching platform+ flipped teaching model” in online education-taking “information technology teaching method” as an example,” in International Conference on Machine Learning and Big

Conference Session

Women in Engineering Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Diane Nicole Abdullah, Florida International University; Trina L. Fletcher, Florida International University; Ronald Quintero, Florida International University; Jade R. Moten, Florida International University; Brittany Nicole Boyd, Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

aspects American society and institutions, including educational experiences [14]. By examining the impacts of racialized society on educational outcomes and disparities, CRT offers a framework to understanding overt and covert manifestations of inequity through interrogating the values, policies, and results of the institution of note. Within education policy and structures, race-based solutions must be present to expand counternarratives and center equity. Intersectionality and Social Cognitive Career theory are applied with the context of CRT to unpack the experiences ofWomen in a College of Engineering and Computing at a southeast based minority serving institution. B. Intersectionality Further research on sociological impacts and factors on

Conference Session

Design Pedagogy

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tania K. Morimoto, University of California, San Diego; He Liu; Cristian H. Tharin; Carolyn L. Sandoval, University of California, San Diego; Christopher John Cassidy, University of California, San Diego; Huihui Qi, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

for structural componentsof the robots. These tools and materials were used to create a number of functional components– including gears, pulleys, basic drivetrains, and linkages – that are typically made by students inthe course. These fabricated components (see Fig. 1) were then tested and evaluated based on theireffectiveness, ease of fabrication, and durability, and other notable features or difficulties weretracked as well.Figure 1. Examples of prototypes created during kit development phase. Candidate materials and toolswere used to fabricate (a) gears using foamcore and popsicle sticks, (b) a 1-degree-of-freedom arm drivenby belt and pulley system, and (c) a simple car using a friction-drive mechanism. Throughout the testing process

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Memoria Matters, Purdue University at West Lafayette (COE); Andrew O. Brightman, Purdue University at West Lafayette (COE); Patrice Marie Buzzanell, University of South Florida; Carla B. Zoltowski, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity, NSF Grantees Poster Session

development. Although faculty framed these as productive and necessary skills forstudents, students perceived that faculty prioritized research and that they were ‘on their own’ in:(a) developing a specialty in a BME subfield to be marketable upon graduation, (b) learningcourse content by teaching themselves, and (c) finding and pursuing professional developmentopportunities. As a result, students drew on resources outside of the program such as family andpeer social networks, high school training in STEM subjects, and other forms of social andcultural capital. As under-represented minority (URM) students and first-generation college(FGC) students are less likely to possess these forms of capital, this finding suggests that BMEcultures may raise

Conference Session

Research on Diversity, Equity, and Inclusion

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dina Verdin, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, played into the meritocratic game to prove that she could solve difficult equationseasily and thus was a “good engineer.” Yet, her approach was common, as Seron et al. [19] hasdocumented that the culture of engineering reproduces a particular way of being, in that itsocializes women into believing that raising concerns about marginalization is “tangential … towhat counts as the “real” practical and objective work of engineers” [p. 4]. At the end of the fourthinterview, Kitatoi’s reflection of what constituted a “good engineer” was filled with resentment,while she received a B in her statics class, the image of who belonged in engineering left anunpleasant feeling, stating, I think it’s really messed up. I think a lot of the times tambien

Conference Session

Electrical and Computer Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Steven M. Beyer, United States Air Force Academy; Brian James Neff, United States Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

-shelf motor driverboard (TB6612FNG Dual Motor Driver Carrier). The complete circuit diagram for the PCB isavailable in Appendix A. Figure 5: 3D Model of the motor controller and power distribution board. Next, students use additive manufacturing and modeling to design the robot body andbuild the robot. The body is fully customizable, but templates are provided as a starting point.Several off-the-shelf components (motors, nuts, bolts, switches, etc.) are integrated to the body tocreate the robot. The students must wire their PCB to the different systems before completing therobot per the robot circuit diagram provided in Figure 6. A picture of a student’s µSAFABOTmid-build is provided in Figure 7. Appendix B provides models for

Conference Session

Mathematics Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Patricia A. Ralston, University of Louisville; Campbell R. Bego, University of Louisville

Tagged Topics

Diversity

Tagged Divisions

Mathematics

and stored in the longitudinal database. (a) (b)Figure 1: A representative question used for formative assessment at the beginning of class in Calculus Ifor engineering students as seen by (a) the instructor, and (b) the student.Data analysisWe first used descriptive statistics to evaluate learner perceptions of usability, engagement, and learningusing responses to the CRiSP questionnaire. We then compared perceptions across genders and socio-economic status using statistical analyses of variance (ANOVAs). Although it is possible to test meandifferences with t-tests, ANOVAs are more robust to normality violations such as kurtosis and skew. ResultsDescriptive

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joseph Maloba Makokha, Stanford University

Tagged Divisions

Computers in Education

America's AUGMENT D. B. Neill[47] healthcare system - from disease detection to building predictive models for treatment - thereby improving the quality and lowering the cost of patient care. The broad use of machine learning makes it important to understand REPLACE Sharif, M., the extent to which machine-learning algorithms are subject to Bhagavatula, S., attack, particularly when used in applications where physical Bauer, L., & security or safety is at risk. We investigate a novel class of attacks on Reiter, M. K.[48] facial biometric systems: attacks that are physically realizable and inconspicuous, that allow an attacker to evade recognition or

Conference Session

First-Year Programs Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Aamir Fidai, Texas A&M University; Samiha Momin; Asma Salim Maredia, Texas A&M University; Insha Ashirali Umatiya

Tagged Divisions

First-Year Programs

. To achievethis goal we conducted a meta-analysis [16] [17] of quantitative studies that were publishedbetween 2000 and 2020. In this work-in-progress meta-analysis we present the preliminaryfinding from the analysis of the studies that were published between 2017 and 2020.Research Question This work-in-progress meta-analysis was guided by the following research question: DoArduino-enabled interventions improve student’s academic achievement in first-year engineeringcourses?Inclusion Criteria We only included those studies in this meta-analysis that a) were published between 2000and 2020; b) were in English language; c) were set in first-year engineering coursework; d)focused on the use of Arduino as an intervention to improve

Conference Session

CoNECD Session : Day 2 Slot 7 Technical Session 2

Collection

2021 CoNECD

Authors

Tanya D. Ennis, University of Colorado Boulder

Tagged Topics

CoNECD Paper Submissions, Diversity

Paper ID #28386”She’s Walking into Like Systems Dynamics. What Is She Doing Here?” ANarrative Analysis of a Latina EngineerMrs. Tanya D Ennis, University of Colorado Boulder TANYA D. ENNIS is the current BOLD Center Director at the University of Colorado Boulder’s College of Engineering and Applied Science. She received her M.S. in Computer Engineering from the University of Southern California in Los Angeles and her B.S. in Electrical Engineering from Southern University in Baton Rouge, Louisiana. Her career in the telecommunications industry included positions in software and systems engineering and technical project

Conference Session

Pre-College Engineering Education Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Elena Nicolescu Veety, North Carolina State University at Raleigh; James Edward Lamberth III, Enloe High School; Evelyn L. Baldwin, Wake STEM Early College High School

Tagged Divisions

Pre-College Engineering Education

virtual poster, a 3 to 5-minutevideo demonstration of their working device, present their project live on Zoom, and engage inan interactive Q&A session with program faculty. A few examples of student work are shown inFigure 1.(a) (b) (c) (d)Figure 1: Examples of student wearable device prototypes: (a) Sleep quality monitoring pillow, (b) Safety garmentfor bikers with turn and stop signals, (c) Heat exhaustion monitoring wristband with pulse, body temperature, andambient temperature, and (d) COVID-19 safety device including 6-foot distance alert as well as temperature andpulse monitoring.Challenges and Lessons Learned – Transitioning from in-person to virtual

Conference Session

First-Year Programs: Virtual Instruction in the First Year III

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Chao Wang, Arizona State University

Tagged Divisions

First-Year Programs

significantdifference in satisfying student’s psychological need of relatedness between the 2019 and 2020course formats, students overwhelmingly prefer in-person labs over virtual labs due to the socialinteraction and readily available tools and supplies, and they feel they could have gained morefrom in-person labs. This is consistent with the findings in [7]. Although one would expectcourses go back to the normal face-to-face mode after the pandemic, nonetheless, there is still aneed to find ways to improve student’s virtual project learning experience to benefit future onlinestudents.References[1] R. M. Marra, B. Palmer, and T. A. Litzinger, “The effects of a first‐year engineering design courseon student intellectual development as measured by the Perry

Conference Session

Faculty Development 4: COVID-19's Impact on Students

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sreyoshi Bhaduri, McGraw Hill ; Lilianny Virguez, University of Florida; Debarati Basu, University of North Carolina at Charlotte; Michelle Soledad, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

Through University web pages: Implications for a more inclusive communityAbstractThis qualitative study investigates web pages documenting COVID-19 responses from 28universities across the United States. Using grounded theory methodology, we inductivelydeveloped a model of universities' response to the pandemic. Four types of strategies wereidentified from the data and a theoretical model was developed describing (a) causal conditionsthat underlie the strategies for response to the pandemic, (b) the context that influenced thestrategies adopted by the universities, (c) intervening conditions due to the pandemic thatinfluenced strategy development, and (d) potential recommendations to make

Conference Session

CoNECD Session : Day 2 Slot 8 Technical Session 2

Collection

2021 CoNECD

Authors

Kimberly Young-McLear, U.S. Coast Guard Academy; Sharon Zelmanowitz P.E., U.S. Coast Guard Academy; Royce Warner James Ph.D., United States Coast Guard Academy/Air Force Institute of Technology; Dani Brunswick, U.S. Coast Guard; Thomas W. DeNucci, U.S. Coast Guard Academy

Tagged Topics

CoNECD Paper Submissions, Diversity

: Dilemmas and Approaches.[3] https://rework.withgoogle.com/blog/five-keys-to-a-successful-google-team/[4] https://www.workplacestrategiesformentalhealth.com/job-specific-strategies/inclusivity-and-discrimination[5] Sekerka, McCarthy, and Bagozzi (2011), in Moral Courage in Organizations: Doing theRight Thing at Work, ed. Debra R. Comer and Gina Vega (Armonk, NY: M.E. Sharpe, 2011)[6] Edmondson, Amy; Lei, Zhike. (2014) Psychological Safety: The History, Renaissance, andFuture of an Interpersonal Construct[7] https://hbr.org/2016/01/creating-a-culture-where-employees-speak-up[8] Cross, T., Bazron, B., Dennis, K., & Isaacs, M., (1989). Towards A Culturally CompetentSystem of Care, Volume I. Washington, DC: Georgetown University Child Development

Conference Session

Working Together: Approaches to Inclusivity and Interdisciplinarity

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pedro E. Arce, Tennessee Technological University; Andrea Arce-Trigatti, Tallahassee Community College; Stephanie Jorgensen; Robby Sanders, Tennessee Technological University

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

-by-step procedure is completed but not exclusionaryof the iterative and cyclical nature of problem solving and prototype development), and thedevelopment of a prototype of innovative technology (PIT) [1]. Specifically, as an innovation-driven learning platform, the Foundry provides an iterative framework through whichresearcher/user teams identify a societal challenge for innovation (Figure 3, element 1). Engagingin this platform, researchers will progress leveraging the two pistons – i.e., in Figure 3, KnowledgeAcquisition (A) and Knowledge Transfer (B) – to develop a PIT (Figure 3, element 6) thataddresses the identified challenge. To note, this model has been elaborated upon in variousscholarship related to engineering education and is

Collection

2008 GSW

Authors

Farrokh Attarzadeh; Enrique Barbieri; Miguel Ramos

Session 6-1 The Evolution of a Senior Capstone Course in the Context of a Research-Based University Quality Enhancement Plan Farrokh Attarzadeh, Enrique Barbieri, Miguel Ramos Engineering Technology Department College of Technology University of Houston AbstractThe process of reaffirming accreditation at the University of Houston has identifiedresearch-based instruction as a critical component of the campus learning environmentfor the foreseeable future. This assertion is consistent with broader trends in

Conference Session

Graduate Studies Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Thomas L. Acker, Northern Arizona University; Nena E. Bloom, Northern Arizona University

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

Paper ID #33173The Rapid Model: Initial Results From Testing a Model to Set Up aCourse-Sharing Consortia for STEM Programs at the Graduate LevelDr. Thomas L. Acker, Northern Arizona University Dr. Tom Acker is a Professor of Mechanical Engineering at Northern Arizona University, where he has been since 1996. He holds a Ph.D. in Mechanical Engineering from Colorado State University. His duties include teaching and performing research related to energy systems, power system modeling, renewable energy, thermodynamics, and fluid mechanics. His research in wind energy relates to and wind flow modeling for distributed wind

Conference Session

Student Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pearl Elizabeth Ortega-Darwin, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Student

calculus and physics subjects as we make changes according to the material that isavailable on the software. Currently, the platform we are using does not offer adaptive testing forthe higher level maths that the department and students are requesting, so next steps are to workwith a team that can accommodate the necessary changes. We also intend to distribute a pre andpost survey to the participants to gather feedback regarding the usefulness of the assessment.REFERENCESBowen, B., Wilkins, J., & Ernst, J. (2019). How calculus eligibility and at-risk status relate tograduation rate in engineering degree programs. Journal of STEM Education, 19(5).Geisinger, B. N., & Raman, D. R. (2013). Why they leave: Understanding student attrition

Conference Session

Mechanical Engineering Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ma Muktadir, North Carolina A&T State University; Sun Yi, North Carolina A&T State University

Tagged Divisions

Mechanical Engineering

. ML Output (new data Input (Data) (algorithm) prediction) Figure 1: Flowchart of ML.The main difference between supervised and unsupervised ML is input date. In supervisedlearning, input data are labeled before the algorithm works, for example, for a set of imageslabeled as rough surface and smooth surface. In contrast, an unsupervised learning algorithmdoes the jobs, which means input data remain unlabeled. In this study, supervised ML has beenused with the PointNet Neural Network [12].b. Defect detection with pointnet neural network [12]Researchers are transforming the 3D images into the Point

Conference Session

Mathematics Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luke A. Duncan, Clemson University; Karen A. High, Clemson University; D. Matthew Boyer, Clemson University; Liz McKinley, Clemson University

Tagged Divisions

Mathematics

. [5] D. E. Lee, G. Parker, M. E. Ward, R. A. Styron, and K. Shelley, “Katrina and the Schools of Mississippi: An Examination of Emergency and Disaster Preparedness,” J. Educ. Students Placed Risk​, vol. 13, no. 2–3, pp. 318–334, 2008. [6] W. C. Chen, A. S. Huang, J. H. Chuang, C. C. Chiu, and H. S. Kuo, “Social and economic impact of school closure resulting from pandemic influenza A/H1N1,” ​J. Infect.,​ vol. 62, no. 3, pp. 200–203, 2011. [7] D. J. D. Earn, D. He, M. B. Loeb, K. Fonseca, B. E. Lee, and J. Dushoff, “Effects of school closure on incidence of pandemic influenza in Alberta, Canada,” ​Ann. Intern. Med.,​ vol. 156, no. 3, pp. 173–181, 2012

Collection

2021 First-Year Engineering Experience

Authors

Shelley A. Lorimer P. Eng., Grant MacEwan University; Jeffrey A Davis P.Eng., Grant MacEwan University

, 2018.11 S. Usón, B. Peña, I. Zabalza, E. Llera, L. Romeo, “Combining Flipped Classroom Model and Edu- cational Videos for Improving Teaching-Learning Process in Thermodynamics and Thermal Engi- neering,” Proceedings, vol 2, no 21, 1329, 2018, https://doi.org/10.3390/proceedings221132912 T. Hattingh, W. van Niekerk, H. Marais and Y. Geldenhuys, “Engineering student experiences of a remotely accessed, online learning environment,” 2020 IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), pp 1-6, 2020, doi: 10.1109/WEEF- GEDC49885.2020.9293652.13 S. Habib and T. Parthornratt, “Anticipated and Actual Challenges Pertaining to Online Delivery of University Courses During COVID-19 Pandemic

Conference Session

Faculty Development Lighting Talk Session 1: COVID-19 Focus

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lance Leon Allen White, Texas A&M University; Donna Jaison, Texas A&M University; Samantha Ray, Texas A&M University; Kelly Brumbelow, Texas A&M University; Sherecce Fields, Texas A&M University; Luciana R. Barroso, Texas A&M University; Karan Watson P.E., Texas A&M University; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Faculty Development Division

Distant Education Resources, 2020. [2] T. Hammond, K. Watson, K. Brumbelow, S. Fields, K. Shryock, J.-F. Chamberland, L. Barosso, M. de Miranda, M. Johnson, G. Alexander, M. D. Childs, S. Ray, L. White, J. Cherian, A. Dunn, and B. Herbert, “A survey to measure the effects of forced transition to 100% online learning on community sharing, feelings of social isolation, equity, resilience, and learning content during the covid-19 pandemic,” Texas A&M University, Tech. Rep., 2020. [Online]. Available: http://hdl.handle.net/1969.1/187835 [3] J. M. Corbin and A. Strauss, “Grounded theory research: Procedures, canons, and evaluative criteria,” Qualitative sociology, vol. 13, no. 1, pp. 3–21, 1990. [4] B. G. Glaser, Basics of

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Educational Research and Methods

artsand communication university students towards science literacy activities and applications. Sahen-dra linked mathematical self-efficacy with representation during mathematics problem-solving andfound that high self-efficacy students were more likely to use strategies requiring multiple repre-sentations, and reference those representation when verifying their solutions [17]. In engineering,Lent et al. [14] measured self-efficacy of succeeding in engineering courses as (a) completing basicscience and math requirements with good grades, (b) excelling in upcoming semesters and years,and (c) completing required upper-level courses for the degree. Carberry et al. [18] developedan instrument for measuring engineering design self-efficacy. It asked