Conference Session

Engineering Physics and Physics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Calvin S. Kalman, Concordia University; Franco La Braca, Concordia University; Mandana Sobhanzadeh, Mount Royal University

Tagged Divisions

Engineering Physics and Physics

following research question and sub-questions: How does the experience of learning differ between labatorials and traditional labs? a. How do social interactions in the lab impact the student learning experience? b. What elements of labs play a role in providing a satisfying learning experience? c. In what ways do labatorials affect student perspectives on physics? d. In what ways does students’ self-efficacy evolve through physics labs? e. In what ways do labatorials and traditional labs differ in promoting the development of conceptual understanding? The mixed methods design involves concurrent qualitative and quantitative datacollection, which was integrated at the data interpretation phase of the research

Conference Session

Biomedical Engineering Curriculum and Design - June 24th

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Steven Higbee, Indiana University Purdue University, Indianapolis; Sharon Miller, Indiana University Purdue University, Indianapolis

Tagged Divisions

Biomedical Engineering

ourprogram. Moving forward, we aim to develop instruments or adapt published instruments thatmore objectively measure student self-efficacy toward design [19] for use in our program and,more generally, in the context of biomedical engineering education. Bandura proposes four mainsources of efficacy information: performance accomplishments, vicarious experience, verbalpersuasion, and physiological states [20]. We aim to contribute to an understanding of howstudent design confidence relates to such described mechanisms for changes in self-efficacy.AcknowledgmentsThe authors would like to thank the IUPUI Center for Teaching and Learning for their supportvia the Curriculum Enhancement Grant (CEG) and for moderating focus groups.References[1] J.E. Froyd

Conference Session

Experimentation and Laboratory-oriented Studies Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ahmet Can Sabuncu, Worcester Polytechnic Institute; John M. Sullivan Jr., Worcester Polytechnic Institute

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

have introduced a new course:Online Project-Based Engineering Experimentation. The course is project-based and designed tooperate in both a blended format, online with classroom labs, and fully online.Recently the topic of project-based learning for first-year college experiences delineated how toincorporate project-based learning (PBL) into the classroom and curriculum [2]. Limiting thefield to engineering still involves numerous investigators. The work of Fini et. al. has quantifiedmuch of the PBL assessments in terms of self-efficacy, teamwork, and communication skills inthe civil engineering environment [3]. The work of Han et. al. on Hispanic students showed thatPBL had a significant impact on students who were not at risk, albeit the

Conference Session

Minorities in Engineering Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Claire Duggan, Northeastern University; Rachelle Reisberg, Northeastern University; Richard R. Harris, Northeastern University; Brad Lehman; Russell Faux; Luis Rafael Frias II

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

are beginning to identify success outside of traditional academic metrics. A holistic integrated approach to the recruitment, selection, and support of transfer students into engineering is essential to ensure academic and career success. The theoretical framework of Bandura’s Self-Efficacy model, along with the implementation of Chickering’s Student Development Theory [2] have shown to be meaningful and impactful theoretical touchpoints throughout this process. Introduction The model utilized at Northeastern University prior to and during the invited student’s undergraduate experience includes but is not limited to the following: • Pre-enrollment: pre-transfer identification, two-way institutional visits, cross-institutional peer-to-peer

Conference Session

Experimentation and Laboratory-oriented Studies Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jing Zhang, Indiana University Purdue University, Indianapolis; Glorio Singui, Indiana University - Purdue University Indianapolis; Shambhuraj Hansraj Wadghule; Chauncey Eugene Frend; Tejesh Charles Dube, Indiana University Purdue University, Indianapolis; Michael Golub, Indiana University Purdue University, Indianapolis

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

keyobjectives throughout the primary module content. The pre-survey includes technical questionsand basic demographic questions including GPA and number of Internet courses taken andquestions designed to better understand student self-efficacy toward computer and VR use. Theassessment and evaluation methods based on the objectives are summarized in Table 1 below. Table 1: Summary of assessment & evaluation methods and of their effectiveness Objectives Assessment and evaluation Indication of effectiveness of methods the assessment/evaluation 1. Development of a series of Monthly collaborative Functioning VR modules; VR modules for AM process

Conference Session

Learnin' Lessons about Faculty Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Daniel Galvan, California State University, Los Angeles; Jianyu Jane Dong, California State University, Los Angeles; Lizabeth L Thompson P.E., California Polytechnic State University, San Luis Obispo; Emily L. Allen, California State University, Los Angeles

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

encountermultiple barriers that prevent them from achieving their academic goals. Although they oftenhave good intentions to help students succeed, faculty often attribute the academic barriers to thestudents’ lack of preparation, motivation, or effort to learn. Research studies [1] showed that thisdeficit mindset of instructors negatively impacts the students’ self-efficacy and hinders theiracademic growth. A recent report from the National Academies [2] highlighted the need to createa learner-centered culture that “meets students where they are.” This raises an important yetchallenging question for faculty development: “What can be done to help transform facultyperception to achieve such cultural change?”As a Very High-enrolled Hispanic Serving

Conference Session

Relationships Between Skills and Knowledge Domains

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ryan H. Koontz, South Dakota School of Mines and Technology; Daniel F. Dolan, South Dakota School of Mines and Technology; Kimberly Karen Osberg, South Dakota School of Mines and Technology

Tagged Divisions

Liberal Education/Engineering & Society

to obtain a measure of EI, an example being the Emotional Knowledge Test [8] and theMayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) [9], [10].The mixed model approach is coined because the assessment includes non-ability measures andintelligent behaviors [6], [11], [12], [13]. These types of mixed approaches work to evaluateconcepts such as emotional perception but then add in scales such as happiness and stresstolerance [6].Pérez [14] defines the difference in emotional intelligence not by the approach of the model butby the distinction of concept. This concept leads to trait EI, also known as emotional self-efficacy and ability EI, also known as cognitive-emotional ability. Pérez argues that thedifference between mixed and

Conference Session

EMD 2: Issues in Engineering Management Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elizabeth Hart, University of Dayton; Andrea Mott, University of Dayton; Sandra L. Furterer, University of Dayton

Tagged Topics

Diversity

Tagged Divisions

Engineering Management

men, and their opinionshould matter for products and services developed by engineers, scientists, mathematicians, etc.Women make up about 50% of university students across the United States and only 13 to 33%of those students hold a bachelor’s or master’s degree in STEM, with the lowest percentage inengineering degrees [2].Lack of Confidence of Women in STEM Academic Programs:Since many female students struggle with lack of confidence in STEM, studies have beencompleted analyzing female’s perspectives on their courses and experiences compared to theirmale counterparts. A study revealed that women showed lower perceived ability, self-efficacy,performance approach, and mastery approach than men, along with a higher performanceavoidance and

Conference Session

ENT Division Technical Session: Creativity and Innovation

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mona Eskandari, University of California, Riverside; Ville Mikael Taajamaa, City of Espoo; Barbara A. Karanian, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

Transitions: Students Draw Their Futures. In Proceedings of the Frontiers in Education Conference. October, Tempe, Arizona, October, 1999.[18] McClelland, D. C., & Boyatzis, R. E. Leadership motive pattern and long-term success in management, Journal of Applied Psychology, 67, 1982, pp 737-743.[19] McClelland, D., Power: the inner experience. Van Nostrand: New York, 1964.[20] Schar, M. Chen, H., Sheppard, S. Innovation Self-Efficacy: A Very Brief Measure for Engineering Students. ASEE Proceedings and Conference, Indianapolis, Indiana. June. 2017.[21] Smith, K. et al. Connecting and expanding the engineering education research and innovation special session. FIE, Oct. 2011.[22] Taylor, S. & Karanian, B. Working Connection

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Margaret Ellis, Virginia Tech; Catherine T. Amelink, Virginia Tech; Stephen H. Edwards, Virginia Tech; Clifford A. Shaffer, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

movesFigure 1: List of common problem-solving heuristics referenced in Problem Solving in ComputerScience courseStudents reported feeling intimidated, needing to teach themselves material required for courses,and that there was distance between students who had computing as a hobby and those who didnot 2 . Students identified tinkering and previous experience as an important part of feelingsuccessful in computer science. We are motivated to build students’ confidence and help thempersist in the field. We are inspired by previous work demonstrating that students’ sense of CSidentity, belonging, and self-efficacy is correlated with success 39,23,24 , and that tinkering andskill-building can improve these feelings 38 . We consider students’ comfort in a

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

, “ProfessionalIdentity Formation and Development in HBCU Construction,” Proceedings of the 2019American Society for Engineering Education (ASEE) conference, Tampa, Florida, USA, June 16– 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, D. Deng, C. Stevens, K. Gore, and I. Borders-Taylor, “Learning Experiencesand Self-efficacy of Minority Middle-School Girls during a ‘Bio-char Modified Cement Paste’Research Program at an HBCU,” Proceedings of the 2019 American Society for EngineeringEducation (ASEE) conference, Tampa, Florida, USA, June 16 – 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, R. B. Pyle, I. Borders-Taylor, C. Bock-Hyeng, and T. Graham, “AdvancingHBCU Students’ Interests in Residential Construction Careers through an NAHB program: AnIndustry-University

Conference Session

Student Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jeong Hin Chin, University of Michigan; Yuan Gao, University of Michigan; Herbert Li, University of Michigan; Magel P. Su, California Institute of Technology; Robin Fowler, University of Michigan

Tagged Divisions

Student

be a powerful tool for increasing self-efficacy and experience by allowingstudents to define their own roles on teams. However, despite the literature supportingteam-based learning, it is not a universally positive experience for all students, particularly incases where team difficulties may intensify pre-existing inequities in the classroom. Becausestudents composing a team can come from vastly different academic backgrounds with differentlevels of experience with engineering, a team’s overall performance may be linked to theperformance of students on individual assignments.In this paper, we investigate how individual student performance is related to overall studentteam performance in a first-year engineering design-build-test-communicate

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Divisions

Computers in Education

- and post-self-efficacy surveys by Weese and Feldhausen [18], containing10 CT concepts (ALG, CON, DEC, IAI, USE, TAD, DAT, ABS, PAR, QUE). Instrument 3observed engagement and body language of the instructors and how concepts were deliveredthrough each session. Using a rubric based on Dr. Edward Desmarais’s presentationassessment rubric, using evaluation methods and the nine principles of good practice forassessing student learning [25]Storyboard-treeA storyboard tree is a technique to construct a MM by associate information based on amemorable story, promoting retrieval within the flow of a story. The idea of chaining theinformation as a story adopted from chain association method [2].Figure 1 presents a high-level overview of the primary

Conference Session

Systems Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Morteza Nagahi, Mississippi State University; Raed Jaradat, Mississippi State University; Samaneh Davarzani, Mississippi State University; Mohammad Nagahisarchoghaei, University of North Carolina at Charlotte; Simon R. Goerger, U.S. Army Engineer Research and Development Center

Tagged Divisions

Systems Engineering

, and demographic characteristics, in conjunction with ST skills and PP, might influence the academic performance of engineering students. All the mentioned measures and scales, including the Big five personality instrument, motivation, self-efficacy, time management, and demographic characteristics, as well as the current study variables, which are part of the comprehensive theoretical model of a bigger study, will be used for future data collection and analysis. Moreover, it would be beneficial to compare the predictive validity of ST skills and PP to other well-known predictors of academic performance. Future studies would also include the type of training needed to enhance students' level of systems skills based on

Conference Session

Approaches to Encouraging Student Engagement

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brantly Edward McCord, Purdue University, West Lafayette; Ronald Erdei, University of South Carolina; David M. Whittinghill, Purdue University, West Lafayette; Marisa Exter, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

. A graduate of Purdue University (PhD 2016), his research focuses primarily on reducing barriers to the learning process in college students. Topics of interest include computer science pedagogy, collabo- rative learning in college students, and human-centered design. Of particular interest are the development and application of instructional practices that provide benefits secondary to learning (i.e., in addition to learning), such as those that facilitate in learners increased self-efficacy, increased retention/graduation rate, increased matriculation into the workforce, and/or development of professional identity.Dr. David M Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr

Conference Session

First-year Programs: Teams and Teamwork

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Emma Tevaarwerk DeCosta, Northwestern University; Kathleen Carmichael, Northwestern University; Lisa M. Davidson, Northwestern University; Ordel Brown, Northwestern University; Elise Gruneisen, Northwestern University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

concept guided thedevelopment of survey questions that measured students’ perceived abilities, in alignment withliterature on project-based teams in engineering educational contexts [24]. The inclusive team-based learning items used the same response scale as the General Self-efficacy Scale, given theevidence of high reliability and cross-cultural validity [25]. Additionally, the survey askedstudents to rate how easy or difficult the 16 inclusive team-based learning activities felt, giventhat team-based activities can involve intercultural exchange. This strategy was informed by theconcept of intercultural effort [19], which explains that measuring students’ intergroupengagement without also measuring the effort required to engage across such

Conference Session

Perspectives and Evaluation of Engineering Design Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Isabella Stuopis, Tufts University; Kristen B. Wendell, Tufts University; Melissa R. Mazan, Tufts University

Tagged Divisions

Educational Research and Methods

of knowledge development, identification with thediscipline, and navigation through benchmarks. Each of these three dimensions becomes morecomplex over the course of an undergraduate career, as the knowledge to which engineeringstudents are held accountable becomes more aligned with ill-structured workplace problems [10]and identity formation becomes a “double-sided” process requiring both self-efficacy and beingrecognized by others as belonging to the engineering community [9]. Grounded in this multi-dimensional perspective on the undergraduate engineering trajectory, we examined the influenceof the capstone project not only on traditional engineering expertise but also on the waysstudents were identifying with the discipline and navigating

Conference Session

Mathematics Division Technical Session 2: Poster Presentations

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

MiKyla Jean Harjamaki, Playful Learning Lab; Annmarie Thomas, University of St. Thomas; Krista Schumacher, University of St. Thomas; Abby Bensen, University of St. Thomas; Emma Michelle Monson, University of St. Thomas

Tagged Divisions

Mathematics

emphasizes are the time the band wants something to occur and the speed thecamera must be recording at. This spreadsheet is included in the guides paired with “The OneMoment” music video in order to connect real-world use of mathematics to the classroom. Thisshows students that math is applicable in different careers, including the music industry. Byallowing students to approach math in this way, self-efficacy for students who feel less confidentin their mathematical capabilities can increase [2]. The OK Go Sandbox educator and student guides that pair with “The One Moment”music video explore the topics of spreadsheets, analytical and theoretical data, frame rate, andslow motion. This guide is designed for students in grades 9-12 and covers

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dylan Keifer Finch, Virginia Tech; Stephen H. Edwards, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. R. Lee, "Effects of an examiner’s positive and negative feedback on self- assessment of skill performance, emotional response, and self-efficacy in Korea: a quasi- experimental study," BMC medical education, vol. 19, no. 1, p. 142, 2019.[9] Wikipedia contributors, "Pedagogical agent," Wikipedia, The Free Encyclopedia, 21 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Pedagogical_agent. [Accessed 2 January 2020].[10] Wikipedia contributors, "Chatbot," Wikipedia, The Free Encyclopedia, 26 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Chatbot. [Accessed 2 January 2020].[11] J. Weizenbaum and others, "ELIZA---a computer program for the study of natural language communication between

Conference Session

First-year Programs: Focus on Students

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ahmed Ashraf Butt, Purdue University, West Lafayette; Saira Anwar, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

theirrelationship with academic performance. Second, longitudinal studies to identify the relationshipand impact of employed study strategies on the students' academic performance over the courseof their engineering degree should be conducted. Finally, the researchers may includemotivational factors to discuss the relationship between the students' study strategies and theiracademic performance.AcknowledgmentThe authors would like to thank Dr. Heidi Diefes-Dux and Dr. Morgan Hynes for access tostudent data.References[1] M. C. W. Yip, “Learning strategies and self-efficacy as predictors of academic performance: a preliminary study,” Qual. High. Educ., vol. 18, no. 1, pp. 23–34, 2012, doi: 10.1080/13538322.2012.667263.[2] N. Rosenberg and R. R. Nelson

Conference Session

Cooperative and Experiential Education Division Technical Session 2 - Development, Assessment, and Impact of Experiential Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Beata Johnson, Purdue University at West Lafayette; Joyce B. Main, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education

, orSES. In the third and final pass, we focused on reading for details related to themes identified inthe initial analysis, including discussion of the conceptual framework and patterns in types of out-of-class involvement.Findings and DiscussionProfessional Development Outcomes Associated with Student Organization Involvement.Researchers have defined and examined student outcomes impacted by out-of-class experiencesin a variety of ways. In the realm of professional development, these outcomes range fromintellectual and competency development to value constructs (e.g., ethics, professionalresponsibility, sustainability affect) and constructs of self-efficacy and professional identity(including sense of belonging, work self-efficacy, and

Conference Session

NSF Grantees: First Year Programming (1)

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brett Tallman P.E., Montana State University; Tessa Sybesma, Montana State University; William J. Schell IV P.E., Montana State University; Bryce E. Hughes, Montana State University; Monika Kwapisz, Montana State University; Emma Annand, Montana State University; Shannon Ranch, Montana State University

Tagged Topics

NSF Grantees Poster Session

confidence intechnical expertise was a prerequisite to any engineering leadership engagement. For engineers,this often meant problem-solving skills or expertise in particular content matter. Students whostepped into engineering leadership roles often reported self-efficacy in their ability to navigatethe technical challenges due to either previous experience or extensive previous classwork.Moreover, the relative expertise of these students seemed to be recognized by their peers. Whatwas striking however, was the frequency with which participants reported feeling inadequate tostep into roles of increased responsibility, when technical skills were essential. Given thiscommon hesitation, it is not surprising that so many engineering students did not

Conference Session

NSF Grantees: Student Learning 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Denise Wilson, University of Washington

Tagged Topics

NSF Grantees Poster Session

Paper ID #31756The Role of Teaching Assistants and Faculty in Student EngagementDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence and on effective methods for teaching global issues such as those pertaining to sustainability. American c Society for Engineering Education, 2020

Conference Session

The Best of First-year Programs Division

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Chao Wang, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

punishment avoidance.SDT also postulates that individuals will adopt more internalized/autonomous forms ofmotivations, resulting in more optimal learning outcomes, when three basic psychological needsare satisfied: autonomy, a sense of choice and control; relatedness, a sense of positive andsupportive connections to others; and competence, a sense of mastery and self-efficacy [18].In a real-world setting, individuals express multiple forms of motivation to varying degrees inany given activity, instead of appearing as either autonomous/internalized orcontrolled/externalized. Examining the learner’s motivation across the whole continuum ofamotivation, external regulation, identified regulation and intrinsic motivation, i.e.,characterizing it into a

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brianna Benedict McIntyre, Purdue University, West Lafayette; Kayla R. Maxey, Purdue University, West Lafayette; Dina Verdin, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

: ConflictingFeminisms and Self-determination, and The Nature of Engineering: Authoring DisciplinaryNarratives. Within the “Vulnerability and Strength Regarding Math” narrative, the Emiliaexercised her agency by pursuing engineering as a career choice, despite her low mathematics self-efficacy, discouraging conversations with family members, and rigor culture that suggested thatstudents must excel in mathematics to be a good engineer. In addition to rejecting the “culturalmotif” associated with engineering, the student also made a conscious effort to network withprofessional engineers to understand what aspects of engineering required math. The studentdemonstrated their agency by asking questions and taking action to resist the dominant narrativeof what it

Conference Session

Capstone Pedgagogy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Stephen Andrew Gadsden, University of Guelph; Elyse Hill

Tagged Divisions

Design in Engineering Education

capstone design. In themeantime PBO has proven beneficial for this particular capstone design project. Students willbegin delivering data to the farmers for consideration this season.References[1] Zimmerman, Barry J. "Self-regulated learning and academic achievement: Anoverview." Educational psychologist 25.1 (1990): 3-17.[2] Pintrich, Paul R., and Elisabeth V. De Groot. "Motivational and self-regulated learningcomponents of classroom academic performance." Journal of educational psychology 82.1(1990): 33.[3] Schunk, Dale H. "Goal setting and self-efficacy during self-regulated learning." Educationalpsychologist 25.1 (1990): 71-86.[4] Wilkerson, S. A., A. D. Gadsden, and S. A. Gadsden. "An unmanned aerial system for thedetection of crops with

Conference Session

Pre-college Engineering Education Division Technical Session 10

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Diane L. Nelson, Carnegie Mellon University; Ilhem F. Hakem, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

learning was takingplace, or at the end of the lecture/lab session, students were prompted to reflect on each lecture oractivity they were exposed to. Their feedback helped us to revise our scheduling and plan for thenext lecture/hands-on activity and make changes as necessary. To get a better understanding onthe students’ expectations and their learning goals, we asked the students about their favoritesubject areas and academic as well as career goals.Program’s Assessment (provided by the program’s Administration)All faculty submit an assessment (self-efficacy, self-reflection, creativity and innovation,collaboration/teamwork, problem solving/critical thinking, etc.) on every student on their roster.Students complete a faculty evaluation and

Conference Session

Mechanical Engineering Technical Session: Pedagogy I - Best Teaching Practices

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Autar Kaw, University of South Florida; Renee M. Clark, University of Pittsburgh

Tagged Divisions

Mechanical Engineering

learningexercises such as peer-to-peer learning, solving procedural problems, outlining solutions to open-ended problems that are ill-defined, may need assumptions and additional data from reliablesources. Because of the displacement of class time due to active learning, some content on atopic is pushed to out-of-class time to foster self-efficacy and life-long learning skills. Thegraded assessment includes weekly automatically graded online quizzes, two main projects,special assignments such as open-ended problems, four tests, and a final examination. Non-graded assignments include multiple-choice questions and selected problems from the textbook.The experimental group MBLG is a modified version of the BLG. The MBLG is different onlyin the following three

Conference Session

Perceptions, Reflections, Collaborations, and Student Support in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sheima J. Khatib, Texas Tech University; Roman Taraban, Texas Tech University; William D Lawson P.E., Ph.D., Texas Tech University

Tagged Divisions

Chemical Engineering

associated with metacognitive reflection. Confidence relates tothe “I Can” factor in Wankat and Oreovicz’s [6] problem-solving model. Woods et al. [7] [8] alsoinclude being positive, motivated, and confident among the characteristics of successful problemsolvers, as do other educators with an interest in improving the confidence (or self-efficacy) ofengineering problem solvers [9] [10]. Lester et al. [11] suggested that “students’ success or failure insolving a problem often is as much a matter of self-confidence, motivation, perseverance, and manyother noncognitive traits, as the mathematical knowledge they possess” (p. 75).We incorporated the metacognitive and affective factors of reflection and confidence into a requiredchemical engineering

Conference Session

Women in Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robyn Paul, University of Calgary; Laleh Behjat P.Eng., University of Calgary; Bob Brennan P.Eng., University of Calgary

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

., & Leifer, L. J. A1 (2005). Engineering design thinking, teaching, and 1613 learning. Journal of engineering education, 94(1), 103-120. Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison A2 433 of students and expert practitioners. Journal of engineering education, 96(4), 359-379. Carberry, A. R., Lee, H. S., & Ohland, M. W. (2010). Measuring A3 engineering design self‐efficacy. Journal of Engineering 192 Education, 99(1), 71-79