Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Arizona State University, Polytechnic Campus; Seline Szkupinski Quiroga

hypothesis were tinkering self-efficacy (three items, Cronbach alpha value0.89), engineering recognition (3 items, Table 1 Out-of-school STEM exposureCronbach alpha value 0.85), and engineering Categories listed on Survey Yes Noagency beliefs (seven items, Cronbach alpha Science fair 6 12value 0.87; [50]–[53] and one item to examine Robotics competition 1 17 Engineering competition 1 17understanding, i.e., I know what engineering After school STEM 4 14is. All survey questions were measured using program/cluba Likert scale of 0

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Katrina Donovan, South Dakota School of Mines and Technology; Jon Kellar, South Dakota School of Mines and Technology; Paula Jensen, Texas Tech University; Michael West, South Dakota School of Mines and Technology; Stuart Kellogg, South Dakota School of Mines and Technology

relational. Conversely, graduatingengineers tend to be primarily analytical despite industry demand for greater diversity. This aspectis spurred by research indicating diverse teams produce better results. Therefore, new elementswere integrated into selected C&A courses to better engage and retain students in all HBDIquadrants, such as:  Experiential workshops  Service-learning  Kinesthetic "hands-on" activities  Group discussion and cooperative learning  Brainstorming and visualization  Industrial site visits  Engineering design case studies  Teaming  Engineering synthesis and historical perspectivesResults of student typology and self-efficacy assessment about student professional developmentand curricular

Conference Session

Minorities in Engineering Division Technical Session 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Carmen Lilley, The University of Illinois at Chicago; Gregory Larnell

self-efficacy,sense of belonging and increased self-care. In general, having a strong sense of belonging andself-efficacy within STEM is strongly linked to academic success [8] and increases motivation topursue STEM education [9]. The researchers adapted measures form the Prematriculation Inventory (PMI) developedat and for the University of Illinois at Chicago. The PMI measures noncognitive assets that havebeen found to correlate to academic success for first year undergraduate students [10]. The PMIis administered at UIC to first year students prior to starting their first semester (i.e. pre-matriculation). The PMI includes a battery of items focused on what it terms noncognitive assets.Noncognitive assets include skills, strategies

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Tracy Hammond, Texas A&M University; Matthew Runyon, Texas A&M University; Julie Linsey, Georgia Institute of Technology; Kimberly Talley, Texas State University; Kristi Shryock, Texas A&M University; Vimal Viswanathan, San Jose State University; Benjamin Caldwell, LeTourneau University

intelligent web interface for automatic grading of sketched free-body diagrams,”presented at the 2021 ASEE Virtual Annual Conference, 2021.[11] P. S. Steif and J. A. Dantzler, “A statics concept inventory: Development andpsychometric analysis,” Journal of Engineering Education, vol. 94, no. 4, pp. 363–371, 2005,doi: https://doi.org/10.1002/j.2168-9830.2005.tb00864.x.[12] D. Hestenes, M. Wells, and G. Swackhamer, “Force concept inventory,” The physicsteacher, vol. 30, no. 3, pp. 141–158, 1992.[13] A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring engineering design self-efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010, doi:https://doi.org/10.1002/j.2168-9830.2010.tb01043.x.[14] N. Stites et al., “Analyzing an

Conference Session

Biomedical Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

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

Knowledgeable Biomedical Workforce,” CBE Life Sci. Educ., vol. 13, no. 4, pp. 636–640, 2014, doi: 10.1187/cbe.14- 06-0101.[15] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” J. of Eng. Educ., vol. 105, no. 2, pp. 366–395, 2016, doi: 10.1002/jee.20121.[16] S.L. Ash and P.H. Clayton, “The Articulated Learning: An Approach to Guided Reflection and Assessment,” Innovative Higher Educ., vol. 29, no. 2, pp. 137-154, 2004, doi:10.1023/B:IHIE.0000048795.84634.4a

Conference Session

LEAD Technical Session 1: Fostering Leadership Identity Development and DEI in Engineering Students and Professionals

Collection

2022 ASEE Annual Conference & Exposition

Authors

John Park, Pennsylvania State University; Dena Lang, Pennsylvania State University; Meg Handley, Pennsylvania State University; Mihee Park, Pennsylvania State University

the program improved on their leadership self-efficacy and belief that womencan be successful in leadership positions. In addition, the Women in Engineering LeadershipInstitute (WELI) has also held workshops to support the formation of a network of womencolleagues and mentors that help participants evaluate future leadership opportunities to succeedin academia. Participants reported that the program helped them to prepare for complexleadership roles by developing critical leadership knowledge and skills [5].Purpose of studyThis “work in progress” paper highlights how women engineering students acquire leadershipknowledge and skills to develop their leadership identity in a project-based engineeringleadership course with teams composed

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Patricia Maloney, Texas Tech University; Bingbing Li, California State University, Northridge; Meng Zhang, Kansas State University; Weilong Cong, Texas Tech University

manufacturing course at three large state universities:Texas Tech University, Kansas State University, and California State University – Northridge.The research questions addressed are: (1) What are the changes in skill and knowledge concerning additive manufacturingexperienced by undergraduate students? (2) What is the effect of this course on attitudes towards engineering and self-efficacy inengineering for enrolled undergraduate students?The sample consists of four years of data from the undergraduate students enrolled in the courseat all three universities (combined N = 196). Our method for data collection was matched-pairsurveys that contained both (i) an assessment for content knowledge and (ii) an attitudinalassessment previously

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Kay Cutler, South Dakota State University; Craig Silvernagel, South Dakota State University; Todd Letcher, South Dakota State University

teams were reminded to complete their bi-weekly logs and their weekly mindmaps. During the final week, undergraduates completed the post-test survey during class to limitattrition.MeasuresStudents completed both quantitative measures and qualitative measures. The self-report surveysof the soft skills measures included a problem-solving inventory, and an interpersonalcompetence scale. The multiple perspectives measures included an interpersonal competencyquestionnaire, and an interpersonal reactivity index. The openness to failure measures included ageneral self-efficacy scale, a theory of intelligences survey, and a curiosity and explorationinventory.A. Problem-Solving (Heppner & Petersen [12] Problem-Solving Inventory) consisted of 32

Conference Session

WIED: Partnering with and Supporting the WIED Community

Collection

2022 ASEE Annual Conference & Exposition

Authors

Christine Delahanty, Bucks County Community College; Jason Silverman, Drexel University

success in the major is evident. In 2017, women comprisedapproximately 20% of engineering graduates, up from 18% in 1997, and 15% never entered theengineering workforce. In 2019, women comprised 48% of the workforce, 34% of the STEMworkforce, and only 16% of practicing engineers, a 3% increase from 2009. In an effort to betterunderstand these disparities, this mixed methods research investigated the creative self-efficacy(CSE) of women engineering majors and their beliefs about creativity in relation to livedexperiences and explores the research question: In what ways do undergraduate womenengineering students describe their creativity and how their lived experiences influenced theirdecision to major in engineering? The researchers investigated

Conference Session

PCEE Technical Session 6: Engineering Design in High School

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sherri Youssef, The Ohio State University; J. Hylton, Ohio Northern University; Todd France, Ohio Northern University; Patrick Herak, The Ohio State University; Bruce Wellman, Olathe Northwest High School

the EDVES, the VESAS, Carberry’sEngineering Design Self-Efficacy Scale, and the STEM-CIS were the primary contributors to itemcontent and wording in the EDVES while Eccles’ Expectancy-Value Theory grounded the attitude-focused items [3-6] [9-10]. Note that the three scales exhibited their own validity and reliabilityby their creators, and subsequently allowed us to ensure EDVES items were created withestablished, high-quality practices in mind. Upon assembling and finalizing all items, theinstrument was reviewed by two engineering faculty members and a psychometrician. Additionalrevision of the instrument was conducted upon receiving their feedback and gave rise to the currentform of the EDVES (see Appendix 1) where items measure expectancy

Conference Session

ERM: Design!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Nusaybah Abu-Mulaweh; William Oakes, Purdue University at West Lafayette (COE); Justin Hess, Purdue University at West Lafayette (COE)

post empathy surveys atthe beginning and at the end of the semester. The pre/post-tests consisted of three empathysubscales that served as proxies to assess the cognitive, affective, and behavioral components ofempathy. Two subscales (perspective taking and empathic concern) were taken from theInterpersonal Reactivity Index (IRI) [15] and one subscale (interpersonal self-efficacy) was takenfrom Hess et al. [16]. The full survey instrument is included as an appendix.The IRI is a tool that measures empathy using a multi-dimensional approach [15] and waschosen because it is the standardized tool that is widely used and accepted among scholars whomeasure empathy. Empathic concern assesses "other-oriented" feelings of sympathy and concernfor others

Conference Session

CIT Division Technical Session #7

Collection

2022 ASEE Annual Conference & Exposition

Authors

Wei Zhang, University of Louisville

-efficacy. 6Although finding statistically significant improvement in self-efficacy is difficult to measure with such asmall n (n = 10), the analysis nevertheless shows participant growth in a number of categories. Thegraph below shows growth across topics. Because of the small n, growth at both the 0.1 and 0.05 levelsare reported. Growth statistically significant at the 0.1 level is somewhat likely to gain statisticalsignificance at the 0.05 level when combined with future cohorts to expand the sample size. Differencesstatistically significant at the 0.1 level are indicated with a plus sign (+) following the question, whiledifferences

Conference Session

Professional Skills and Community Building in Chemical Engineering Education

Collection

2022 ASEE Annual Conference & Exposition

Authors

Betul Bilgin, The University of Illinois at Chicago; James Pellegrino, The University of Illinois at Chicago; Cody Mischel, The University of Illinois at Chicago; Lewis Wedgewood, The University of Illinois at Chicago; Vikas Berry, The University of Illinois at Chicago

Processing Immunoglobulin (IG) 500Instrument Development and EmploymentTwo survey instruments to measure self-efficacy and engineering identity were chosen based onthe literature. Both instruments were piloted in two different courses at the end of the Fall 2020semester. Upon analyzing the results of the surveys, self-efficacy survey instruments wereslightly modified, including changing the Likert scale. On the other hand, the engineeringidentity survey instrument was found to be outdated, and another up-to-date engineering identityinstrument was chosen based on the literature. Both surveys were implemented at the beginningand end of the Spring 2021 and Fall 2021 semesters.The graduate research assistant

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Rick Hill, University of Detroit Mercy; Jocelyn Bennett Garraway, University of Detroit Mercy

, though the program might not have had a positive impact on student self-efficacy inSTEM.Keywordsbroadening participation, engineering education, high schoolIntroductionIt is well established that the domestic need for a qualified, technical workforce is increasinglyimportant, and increasingly unmet. This need is especially acute in the greater Detroit area withits historical reliance on the automotive and manufacturing industries. Such need provides animperative to improve pathways for our nation’s youth to enter STEM fields. This is true, inparticular, for students from groups historically underrepresented in STEM professions. As of2017, only 4.1% of engineering bachelor’s degree in the U.S. were awarded to Black studentsand only 11.1% to

Conference Session

ERM: Mental Health and Wellness

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sarah Wilson, University of Kentucky; Katie Wilder, University of Kentucky; Whitney Blackburn-Lynch, University of Kentucky; Joseph Hammer; Daniel Dailey, University of Kentucky

440 first-year engineering students during thefirst month of the Fall 2021 semester, including psychometrically sound measures of mental healthhelp-seeking attitudes, perceived norms, personal agency, and intention developed in accordancewith the Integrated Behavioral Model. Results show 12% of students self-report symptoms ofmoderate or higher depression and 14% moderate or higher anxiety. While these statistics arelower than the national averages for college students, breakdowns by gender showed that femalestudents showed a higher prevalence of anxiety and depression compared to the correspondingnational average. In general, students had positive attitudes, control, and self-efficacy related toseeking help for a mental health concern. Mean

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ursula Nguyen, University of Texas at Austin; Catherine Riegle-Crumb

], [17]. Young people’sconsideration of entry into an engineering major has been studied extensively and linked tostudent sociodemographic and academic factors [18], [19], [20]. In one study, researchers foundthat advanced science course-taking positively predicted students’ likelihood of deciding tomajor in STEM fields [21]. Moreover, researchers have linked students’ attitudes and beliefs totheir intentions to major in engineering [15], [21], [22]. To illustrate, one longitudinal study onundergraduate students found that their self-efficacy was positively related to their decision tomajor in engineering [23]. In another longitudinal study, the researchers noted a significantassociation between adolescent girls’ counter-stereotypic beliefs

Conference Session

WIED: Analysis, Challenges, Success, and Impacts

Collection

2022 ASEE Annual Conference & Exposition

Authors

Heather Orser; Ella Swanson-Hysell, University of St. Thomas

engineering disciplines each academic year.This analysis found that the number of female faculty may account for some of the increase inenrolled female students; however, the data available is insufficient to prove it.Understanding the causes of higher-than-expected enrollment requires continued assessment ofthe composition of the student body and an approach to assessing the less tangible reasonsbehind our success to date. From prior work [9, 10], factors such as self-efficacy and recognitionof capability are important for those women who persist in engineering. Future work todetermine the cause of higher-than-expected enrollment include assessing self-efficacy andrecognition. These assessments could help shed more light on the reason for higher

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Esther Tian; Daniel Showalter; Tara Kishbaugh; Scott Barge

international consulting projects. While at MIT, his dissertation research and collaborative research with institute colleagues focused on domain-specific self-efficacy in engineering entrepreneurship, and on the impact of project-based pedagogies on persistence in engineering among undergraduate students. He served as Director of Institutional Research at Goshen College for five years before coming to EMU in 2016. © American Society for Engineering Education, 2022 Powered by www.slayte.com STEM Scholars Engaging in Local ProblemsAbstract Eastern Mennonite University received a 5-year S-STEM award for their STEM ScholarsEngaging in Local

Conference Session

WIED: Analysis, Challenges, Success, and Impacts

Collection

2022 ASEE Annual Conference & Exposition

Authors

Roberta Rincon, Society of Women Engineers; Erin Carll; Emily Knaphus-Soran, University of Washington

career pathways in thesefields, stronger relationships with engineering professionals, and greater self-confidence in mathand science.The Phase III pilot program included six virtual networking events, three in spring 2021 andthree in fall 2021. The aim of the networking program was to (1) provide more information aboutcareer pathways, (2) strengthen interpersonal relationships, networking, and mentorship, and (3)boost confidence through connections with same-gender STEM experts to counteractstereotypes.Research QuestionsThe questions guiding the evaluation of the intervention were: 1. Does the STEM networking intervention increase community college women’s motivation, self-efficacy, and confidence in engineering and computer science? 2

Conference Session

First-Year Programs Division Technical Session 11: Program Descriptions and Learning Analytics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Joan Tisdale, University of Colorado Boulder; Angela Bielefeldt, University of Colorado Boulder; Laura MacDonald, University of Colorado Boulder; Carlo Salvinelli, University of Colorado Boulder

evaluate student interest and motivationtoward sustainability and 11-point rating items on confidence/self-efficacy. Student perceptionon sustainability was found to differ by: course, discipline, gender, major, student previousknowledge, and student general interests. Within each course, impactful factors include thelearning objectives, quantity of sustainability inclusion and method of delivery. A given courseis not the sole determining factor of students’ awareness of sustainability, but it can have aneffect. Sustainability can look different across engineering disciplines, and each area and methodof incorporating sustainability has its own place, value, and impact.Introduction and Background “Development can be considered sustainable if it

Conference Session

Energy Conversion and Conservation Technical Session 2: Enhancing Energy-Related Education with Student Design Projects

Collection

2022 ASEE Annual Conference & Exposition

Authors

Leon Liebenberg, University of Illinois at Urbana - Champaign; Taylor Tucker, University of Illinois at Urbana - Champaign

]. However, self-regulation is strongly influenced by external factors such as the learningenvironment, instructor and instruction, modeling, and peer interaction [9]. Effective self-regulation requires not only the provision of clear instruction and explicitmodeling of possible solutions and problem-solving strategies, but also designing a learningenvironment conducive to such learning [10]. The level of self-regulation depends on the extentof the learner’s knowledge within the subject domain [9]. A key facet of self-regulation is self-efficacy, which requires the knowledge and use ofspecific learning strategies and performance self-monitoring [11]. Thus, self-efficacy indicateslearners’ belief in their innate ability to achieve

Conference Session

Faculty Development Division Technical Session 7

Collection

2022 ASEE Annual Conference & Exposition

Authors

Tina Zecher, Northern Arizona University; Fethiye Ozis, Carnegie Mellon University

behaviors communicate agenuine investment in students’ personal and academic well-being, and they demonstrate awillingness to connect and work with their students [10],[11]. The second dimension includes aprofessor’s encouragement of questions and discussions as well as a student’s general feelingsabout the class.Rapport between professors and students is identified as promoting engagement [12]; motivationand satisfaction [8]; grades [13]; self-efficacy, i.e. a belief in one’s capabilities [14],[15];student success [16]; and, performance, persistence and retention in engineering [17],[18]. Onthe other hand, lack of such connection has been observed to contribute to loss of motivation andengagement [19], hence negatively impacting self-efficacy [20

Conference Session

Software Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Britton Wolfe, Grove City College; Eli Lowry, Grove City College

entire class.Bergin and Reilly [12] examined 15 possible predictors, finding that student’s comfort level withprogramming and perception of their programming performance were the strongest individualpredictors. However, the perception of programming performance was surveyed in the secondsemester of the course, which would not permit early detection of high-risk students. Thecombination of students’ perception of programming performance, comfort level, high schoolmath score, and gender accounted for 79% of the variance in programming performance.Quille and Bergin [6] revisited that earlier work, confirming that high school math scores andstudent’s programming self-efficacy are significant predictors of success. They explored severalcombinations

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Manuel Rossetti, University of Arkansas; Edward Pohl, University of Arkansas; Bryan Hill, University of Arkansas; Xintao Wu, University of Arkansas; Ronna Turner, University of Arkansas; Wenjuo Lo, University of Arkansas; Jeffrey Offord, University of Arkansas

self-efficacy scale labeled from 1 = Not at all confidence to 5 = Extremely confidence.This entrance survey for the MDaS student takes 10-15 minutes to complete.In Table 2, we provide a brief definition for each construct, the number of items associated withthe construct, and citations. Table 2 Entrance Survey Measure Definitions Construct Definition # of Item Intrinsic Value Intrinsic value often results from the enjoyment that a student obtains from 5 an activity [17], [18], [19]. Attainment Attainment

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Holly Golecki, University of Illinois at Urbana - Champaign; Tashia Lewis

/15428052.2012.677610.[21] A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring Engineering Design Self- Efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, Jan. 2010, doi: 10.1002/j.2168-9830.2010.tb01043.x.[22] E. Cevik et al., “Assessing the Effects of Authentic Experiential Learning Activities on Teacher Confidence with Engineering Concepts,” in 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, Utah, Jun. 2018, p. 29827. doi: 10.18260/1-2-- 29827.

Conference Session

Minorities in Engineering Division Technical Session 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jacqueline McDermott, Purdue University at West Lafayette (COE); Janet Beagle

. Details of the GradTrack structure arediscussed in the next section.GradTrack Program StructureFormatGradTrack is an academic-year-long program with monthly online meetings, four meetings eachin fall and spring semesters. Structuring the program to be fully online and incorporating virtualmentoring is a unique and strategic aspect of the GradTrack Program. While the practice ofonline mentoring – or e-mentoring – has existed for over 20 years [8], [9], [10], the COVID-19pandemic has led to the transition of on-campus student success and URM-focused programsinto a virtual setting [5]. Virtual mentoring has also been shown to increase STEM achievement,self-efficacy, and drive to persist in mentors and mentees in a recent study performed at

Conference Session

First-Year Programs Division Technical Session 14: Introductory Programming Assessment, Plagiarism, Motivation, Engagement, and Textbooks

Collection

2022 ASEE Annual Conference & Exposition

Authors

Breejha Quezada, Purdue Engineering Education; Tamara Moore, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE); Amanda Johnston, California Polytechnic State University, San Luis Obispo; Emily Haluschak, Purdue University at West Lafayette (COE); Gavin Bidna, Purdue University at West Lafayette (COE)

interventions for undergraduate level coursework with the goal ofincreasing student exposure in microelectronics. Fig. 1. Social Cognitive Career Theory Interest Model Flow Chart. Adapted from [3]Students having an idea about what they as individuals can contribute to a field (self-efficacy),and developing outcome expectations for their schooling and career can trigger the followingstages in the flowchart. The program that is being developed aims to be a source of activityselection and practice, eventually certifying performance outcomes for the students. SCCT wasused in the planning and development of this program, and Figure 1 outlines many of the aims ofthe program. Although the project as a whole aims to target all aspects of the SCCT model

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sarah Wilson, University of Kentucky; Joseph Hammer; Melanie Miller; Courtney Wright, University of Kentucky; Lucy Hargis; Ellen Usher

well as their beliefs about others’ behavior (i.e., do they believe that their friendsor family would seek help for themselves?). Finally, personal agency is a person’s evaluation ofwhether they will be able to seek help, given their beliefs about barriers and facilitators to seekinghelp and their self-efficacy beliefs (i.e., confidence in their ability to seek help). These sixcategories of beliefs are influenced by background variables such as demographic characteristics,culture, socioeconomic status, environment, and personality. A strength of the IBM is that it allowsfor identification of the beliefs that drive behavior. Identifying the specific beliefs that drive mentalhealth related help-seeking behavior in undergraduate engineering

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Julie Fogarty, California State University, Sacramento; Robin Altman, California State University, Sacramento; Jennifer Lundmark

38% 3.02 2.13 114 Figure 2: Comparison of URM and Non-URM studentsThe Hornet Leadership Program (HLP) address S1, S2, S3, and all the long-term outcomes.Outcome S2 is initially captured by the baseline data from the student survey which shows thatany formal leadership training or experience at Sacramento State are linked to increases in thefollowing: self-efficacy, sense of belonging, GPA, and intentions to persist in a STEM career.Future work will focus on the specific impact of the HLP activities on these measures in thestudent survey.Outcome S3 is addressed from data related to the HLP Scholars. Student participants in the HLPScholars leadership experience during Summer 2021 were asked to reflect on

Conference Session

ERM: New Research Methods and Tools

Collection

2022 ASEE Annual Conference & Exposition

Authors

Qin Liu, University of Toronto; Joanna Li, University of Toronto; Jenifer Hossain, University of Toronto

Examples of Student Outcomes development Cognitive and intellectual Academic performance, conceptual understandings, problem-solving development skills, design thinking, research skills, and other cognitive skills Psychosocial and identity Gender and racial identity, professional identity, self-efficacy development Affective changes Empathy, ethical reasoning, awareness of human-oriented dimension of engineering (such as social responsibility and social justice), academic emotional engagement, environmental awareness, and changes in