Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Juebei Chen, Aalborg University; Anette Kolmos, Aalborg University; Xiangyun Du, Qatar University

Tagged Divisions

Educational Research and Methods

professional competences [13]. By exposing students tocomplex, real-world and ill-structured problems in collaborative learning environment, PBL enablesstudents not only to learn professional knowledge and engineering skills, but also to gain themembership in an engineering community and develop their sense of belongings as future engineers[2][13][14]. With positive peer perspectives on the values of professional competences provided byteam members, students could reach higher levels of engineering identity and better learningoutcomes in PBL environment [15]. Compared with traditional learning methods, PBL significantlyincreased engineering students’ self-efficacy and enable students to create engineering identity viaworking in engineering project

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hindolo Michael Kamanda, University of Georgia; Davis George Anderson Wilson, University of Georgia; Joachim Walther, University of Georgia; Nicola W. Sochacka, University of Georgia; Stephen Secules, Florida International University; James L. Huff, Harding University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

students,Bottesi, et al. [25] found that anxiety and intolerance of uncertainty can lead to negative beliefsand outcomes expectations that can affect student performance [see also: 26]. A study ofengineering students [20] found that low stress levels and positive outcome expectationsincreased students’ self-efficacy, a factor that, in turn, significantly predicted academicachievement. Related studies identified stress as a key predictor for low student engagement andpersistence [27] as even students with high ability in science often leave STEM majors due tosignificant accompanying pressure and accompanying physical and psychological distress [28,29].Minority students can be disproportionately impacted by such emotional experiences due to

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Louis Nadelson, University of Central Arkansas; Idalis Villanueva, Utah State University; Jana Bouwma-Gearhart, Oregon State University; Estefany Soto, University of Central Arkansas ; Cindy Ann Lenhart, Oregon State University; Kate Youmans, Utah State University; Yoon Ha Choi, Oregon State University

Tagged Divisions

Educational Research and Methods

the responses from anyparticipant who had not completed at least 90% of the survey items. We then imported the datainto SPSS for further conditioning, including replacing missing values with the series mean andreverse coding the responses to any items that were negatively stated. Once our data set wascomplete, we calculated the composite scores for our subscale measures of growth mindset, goalorientation, knowledge of engineering as a profession, motivation, and belongingness. Wecalculated the subscale composite scores by averaging the participant responses to the associateditems. Once completed, we used a combination of responses to single items and compositescores for analysis.ResultsOur first research question asked: what are students

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brittany C. Bradford, Rice University; Margaret E. Beier, Rice University; Megan McSpedon, Rice University; Michael Wolf, Rice University

Tagged Divisions

Educational Research and Methods

course gradesbeyond standardized test scores [15]; further details on exam content are outlined in a relatedscale development study [16]. This measure is discussed further in the Method section.Interpretations of Past EventsStudents’ self-efficacy is their belief in their ability to perform tasks as well as desired [10]. Self-efficacy informs students about desirable courses of action and increases the likelihood that theywill act [17]. People tend to form goals and engage in tasks aligned with those activities in whichthey feel the most efficacious [18]. Academic self-efficacy beliefs may be the result ofperceptions of past performance in academic domains [19].Reflecting the predictions of the expectancy-value model, high school STEM

Collection

2020 Gulf Southwest Section Conference

Authors

Andrea Turcatti; Terrell Bennett

their abilities have higher academic performance and will consider a larger array ofcareer options. Improving self-efficacy is therefore very important to the academic and futuresuccess of students.Understanding the design process and the application of technical skills is important for students.Outside of some labs and capstone courses, these concepts are not often put into practice inacademic settings. Since students do not have many opportunities to work on real-world problemsthroughout their college career, the UTDesign EPICS team wanted to measure the impact ofworking on real-world projects on learning the design process and motivation to complete work.We surveyed the students after the semester on these topics. We also wanted to measure

Conference Session

NSF Grantees: S-STEM 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel; Timothy Aaron Wood, The Citadel; William J. Davis P.E., The Citadel; Kevin C. Bower, The Citadel; Tara Hornor, The Citadel; Ronald W. Welch P.E., The Citadel

Tagged Topics

NSF Grantees Poster Session

Community and Self-Efficacy Building of Civil Engineering StudentsIntroductionThe Citadel, a regional, residential military college, is currently engaged in a multi-year NSF S-STEMproject to encourage persistence of academically-talented, low-income civil engineering students. OurExcellence in Civil Engineering Leadership (ExCEL) scholarship program builds on a prior program (ofthe same name) that included 34 scholarship recipients, of which 85% graduated with a STEM degree and65% met the academic requirements to graduate as an ExCEL scholar [1]. The current ExCEL programseeks to retain several community-building and support services that were highly valued by our formerstudents, including: (1) funding to attend the

Conference Session

NSF Grantees: RED 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Uzoma M. Monye, North Carolina Agricultural and Technical State University; Tobin N. Walton, North Carolina Agricultural and Technical State University; Stephen B. Knisley PhD, North Carolina Agricultural and Technical State University

Tagged Topics

NSF Grantees Poster Session

importance in relation to other identities in the self-concept), suggest that the design Fellows are unclear regarding the extent to which their identityas an engineer is one of the more important identities they have. The five items at the bottom ofthe table which measure identity salience (or the likelihood that the identity is activated acrosscontexts) however reflect somewhat higher scores. This suggests the Fellows’ identities asengineers are relevant within their social interactions across multiple contexts. As can be seen in Table 4, the Design Fellows on average reported a moderately highlevel of engineering self-efficacy with an overall mean of 5.44 across all scale items. Thissuggests that the fellows on average “Somewhat Agreed” or

Conference Session

Mechanical Engineering Technical Session: Dynamics I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Daeyeoul Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Divisions

Mechanical Engineering

items from the MSLQ [5] wereused. They have been widely used to measure self-efficacy and test anxiety in college settings[26], [33]. They used a 7-point Likert scale ranging from “not at all true of me” to “very true ofme.” The academic self-efficacy items were slightly modified to better fit the dynamics course.Specifically, the phrase of ‘the course’ in the self-efficacy items was changed to ‘ME 274’ toreflect the specific dynamic course number. For example, ‘I am certain I can understand the mostdifficult material presented in this course’ was changed to ‘I am certain I can understand themost difficult material presented in ME 274.’ The reliability of the self-efficacy and test anxietyitems were checked by Cronbach’s α values, which were

Conference Session

Pre-college Engineering Education Division Technical Session 15

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

J. Jill Rogers, University of Arizona; Amy Annette Rogers; James C. Baygents, University of Arizona

Tagged Divisions

Pre-College Engineering Education

Paper ID #29565Effects of High School Dual Credit Introduction to Engineering Course onFirst-Year Engineering Student Self-Efficacy and the Freshman Experience(Evaluation)Ms. J. Jill Rogers, University of Arizona J. Jill Rogers is the assistant director for ENGR 102 HS at the University of Arizona. ENGR 102 HS is an AP-type, dual credit college level, introductory engineering course offered to high school students. In 2014, the ENGR 102 HS program won the ASEE best practices in K-12 and University partnerships award. Over the years Rogers has developed K-12 science summer camps, conducted K-12 educational re- search

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Vanessa Svihla, University of New Mexico; Amber Gallup, University of New Mexico; Sung "Pil" Kang, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

the content against bothprior analysis and relevant literature. Content validity through expert review We drafted materials for expert review, including a 1-page definition of framing agency and its sub-constructs, a version of the survey, and a scoring sheet. Given the relatively novel nature of the construct (e.g., as compared to developing a scale for self-efficacy in a new domain), we were concerned about the possibility of inclusion bias (i.e., in not having true expertise due to the newness of the construct, would experts tend to rate every question as relevant?). We developed 17 distractors to evaluate experts’ tendency to include constructs that may be interesting but not included as

Conference Session

Approaches to Assessment and Student Reflection

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabrine Griffith, Harvey Mudd College; Spencer Rosen, Harvey Mudd College; Eleanor Byrnes, Harvey Mudd College; Laura Palucki Blake, Harvey Mudd College; Matthew Spencer, Harvey Mudd College

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

moving fromconcrete experiences into reflective observation is essential for learning.This learning was assessed by direct assessment of students’ performance on an in-lab exam thatassessed both theoretical and experimental skills, surveys of self-efficacy administered beforeand after the treatment, coding student answers to reflection questions in the lab manuals, andcounting the number of answers to interactive questions to determine compliance.Significant results from the experiment indicated that students in the treatment group took longerto complete the lab, felt greater time pressure, performed more poorly on the in-class evaluation,and had fewer metacognitive gains than the control group. The treatment appears to haveincreased the

Conference Session

ECCD Technical Session 4: Energy and Analysis

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Arash Kialashaki, California State University, Chico

Tagged Divisions

Energy Conversion and Conservation

studentsevaluation of teaching (SET) survey was conducted by CSU Chico Department of InstitutionalResearch which captured students’ attitude regarding self-efficacy using a Likert-type scale from1 to 5. This paper discusses the outcomes of this survey.Tags: Energy Conservation Measure, Engineering Thermodynamics, Energy Efficiency, EnergySavings, Central Utility Plant, Field Trip I. IntroductionPublic policy is a key driver of energy efficiency investment in the United States. State policiesthat support ratepayer-funded energy efficiency programs, federal and state low-incomeweatherization efforts, energy efficiency programs administered by state energy offices, andbuilding codes and standards have been major contributors to the increase in energy

Conference Session

ENT Division Technical Session: Creativity and Innovation

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Karl D. Schubert, University of Arkansas; Kristie Neff Moergen, University of Arkansas; Carol S. Gattis, University of Arkansas; Wen-Juo Lo, University of Arkansas

Tagged Divisions

Entrepreneurship & Engineering Innovation

, almost never), thisscale reflects participants’ awareness of their mindfulness with higher scores indicated they areless mindfulness in the daily life events.Core Self-EvaluationsJudge, Erez, Bono & Thoresen stated, “core self-evaluations is a basic, fundamental appraisal ofone’s worthiness, effectiveness, and capability as a person.” [7] There are four traits that make upthe core self-evaluations: self-esteem, generalized self-efficacy, neuroticism, and locus of control.[16] These traits can be measured to predict people’s satisfaction with their job, job performanceand life situation. [17] In addition, this inventory was validated [7] using both corporate employeesand university students. It asks participants how strongly they agree or

Conference Session

Introduction to the Field of Biomedical Engineering - June 25th

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Heidi A. Diefes-Dux, University of Nebraska, Lincoln; Nicole M. Iverson, University of Nebraska, Lincoln

Tagged Divisions

Biomedical Engineering

by self-efficacy andoutcome expectations derived from learning experiences. Limited exposure to biomedicalengineering topics and engagement in exploration could lead to students not having a well-developed individual interest [9] or finding interests that endure into a career choice, resulting inattrition from the field. To put this more concretely, if students’ exposure to biomedicalengineering is only focused on prosthetics, that might be initially interesting to them; but if thatinterest is lost, then interest in biomedical engineering as a whole is compromised. Withoutexposure to the many areas associated with biomedical engineering, students cannot proceedfrom triggered situational interest to maintained situational interest; meaning

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay

Tagged Divisions

Computers in Education

utilizingseveral validated questionnaire instruments. The total number of questions for the instrumentwas 20, 8 for self-efficacy, 3 for task attraction, 4 for perceived usefulness, 3 for user-experience,and 2 for effort regulation. The instrument was administered at the end of the differenttreatments. In addition to the following questions, the research team asked the participants fordemographic information such as age, grade point average, gender, and current year of study. The questions that measured the students’ self-efficacy, perceived usefulness, and effortregulation were based on the instrument developed by Boekaerts ​[26]​ titled the OnLineMotivation Questionnaires. These instruments included questions such as: “​How do you feel justafter

Conference Session

Mental Health of Graduate Students

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Jane Bork, University of Michigan; Joi-lynn Mondisa, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

literature points to aspects of the student’s social environment, such as feelings ofconnectedness, a sense of belonging, social self-efficacy, and social support, influencingstudents’ reported mental health measures in addition to lasting academic impacts. It is stillunclear, however, to the extent which of these concepts are present in current surveys used toassess graduate student mental health. The research question guiding this study is, Whatunderlying factors are important when looking at the mental health of science, engineering, andmathematics graduate students?This study will look specifically at the Healthy Minds Study (HMS), conducted by the HealthyMinds Network (HMN): Research on Adolescent and Young Adult Mental Health group, to tryand

Conference Session

NSF Grantees: S-STEM 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robin A.M. Hensel, West Virginia University; Joseph Dygert, West Virginia University; Melissa Lynn Morris, University of Nevada - Las Vegas

Tagged Topics

Diversity, NSF Grantees Poster Session

surveys provide a quantitative measure of students’ GRIT, general self-efficacy,engineering self-efficacy, test anxiety, math outcome efficacy, intrinsic value of learning,inclusion, career expectations, and coping efficacy. Qualitative data from the focus group andindividual interview responses are used to provide insight into the quantitative survey results.Surprisingly, a previous analysis of the 2017 cohort survey responses revealed that students wholeft engineering had higher baseline values of GRIT, career expectations, engineering self-efficacy, and math outcome efficacy than those students who retained. Hence, the 2018 cohortsurvey responses were analyzed in relation to retention and are presented along with qualitativeresults to provide

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Harrison Douglas Lawson, Michigan State University; Amalia Krystal Lira, Michigan State University ; Alexandra A. Lee, Michigan State University; Minhye Lee, Daegu National University of Education; Lisa Linnenbrink-Garcia, Michigan State University; S. Patrick Walton, Michigan State University; Daina Briedis, Michigan State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

(7.5%), Latinx (4.8%), Asian (20.9%), Multiracial (2.2%), Alaska Native (0.2%), andNative Hawaiian or Other-Pacific Islander (0.1%). The surveyed students included both studentsenrolled in engineering majors and students who, at one point, were engineering majors but wereno longer enrolled in engineering.Measures: Academic Self-efficacy. Five questions measured engineering self-efficacy [19]. Theresponses were recorded using a 5-point Likert-type scale. These measures were collectedannually over four years (T1 ⍺ = .87, T2 ⍺ = .90, T3 ⍺ =.91, and T4 ⍺ =.90). A sample item forengineering self-efficacy is “I’m certain I can master the content in the engineering-relatedcourses I am taking this semester.” Prior Achievement. Prior

Conference Session

Materials Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nicole Johnson-Glauch, California Polytechnic State University; Lauren Anne Cooper, California Polytechnic State University, San Luis Obispo; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Materials

methods.Quantitative methods consisted of pre- and post- course surveys to measure changes in students’levels of self-efficacy beliefs. Self-efficacy was measured with a 17-item validated instrumentcommonly used to measure general self-efficacy [22]. We used the Shapiro-Wilks test to verifythe normality of the data before conducting a paired t-test to determine the effect of the actionplan assignment on students’ self-efficacy. We used a p value of 0.05 as our basis for statisticalsignificance for both tests. In our survey, we also included six demographics questions such asethnicity, gender, socio-economic status, transfer student status, and employment status.Qualitative methods consisted of a content analysis of the students’ finalized “Action Plan

Conference Session

Mathematics Division Technical Session 4: Assessing Success in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rebecca Ann George, University of Houston; Weihua Fan, University of Houston; Daijiazi Tang, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Mathematics

during which the surveys were administered.MeasuresThe survey consists of (a) section of demographic information and (b) section of questions onself-beliefs in success (academic self-efficacy and subjective values), academic engagement(efforts and persistence), learning climate, and achievement emotions (enjoyment, anxiety,hopeless, shame, and anger before, during, and after class). In (a) section, the demographicitems measure students’ gender (male= 0, female =1), age, race, major, academic year, andself-reported GPA. The (b) section includes 98 Likert-scaled items from 1 (strongly disagree)to 5 (strongly agree) and from 1 (not at all true of me) to 7 (very true of me). All Likert-scaled items were adapted from existing research [9]. Some

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joseph A. Lyon, Purdue University, West Lafayette; Aparajita Jaiswal, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

-survey measurements tounderstand how self-efficacy changed in terms of students modeling and simulation skills.Likewise, post-survey data was collected to understand how students experienced the MATLABLive environment. This has led the research to two research questions: (1) How did suchtechnology-supported scaffolded (MATLAB Live) modeling activity experiences impact studentself-efficacy regarding programming and computational modeling? (2) Based on student comfortlevel with programming (self-efficacy), how did students vary in their reported experiences ofMATLAB Live?BackgroundThe use of modeling is not new to engineering education, having been studied extensively withall levels and disciplines of engineering [3], [9], [10]. For this study

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Divisions

Educational Research and Methods

constructs on 120 first-year engineeringstudents' academic performance in a required engineering course while accounting for their priorsuccess. The motivational constructs include students' self-reported achievement goals (masterygoals, performance goals, and mastery avoidance), self-efficacy beliefs, and task value. Wecollected the data by administering surveys at the beginning of the course. We used AGQ-R forachievement goals and subscales of the MSLQ survey for students' course-related beliefs aboutself-efficacy and task value. Also, SAT scores and prior GPA determined students' prior success.We used students' scores in three exams as a measure of their academic performance in thecourse. We used stepwise hierarchical regression to identify the

Conference Session

Active and Cooperative Learning in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University

Tagged Divisions

Electrical and Computer

, therefore, needs to includehands-on PBL activities for students that provide solid grounding in engineering fundamentals.Going through the curriculum, students also gain experience of working collaboratively as ateam to undertake and solve complex engineering problems.To measure the effectiveness of engineering modeling and design curriculum, it is important todetermine the self-efficacy of students. The aim is to enable students to go through hands-onPBL activities during the curriculum to develop self-belief and optimism in their competence toaccomplish tasks and produce expected results. In an earlier work on this subject, authors haveproposed an instrument to measure student's perception of self-efficacy in engineering modelingand design

Conference Session

Minorities in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa Y. Flores, University of Missouri; Rachel L. Navarro, University of North Dakota; Heather Hunt, University of Missouri; Hang-Shim Lee, Konkuk University ; Patton O. Garriott, University of Denver

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

, and White men and women engineering majors enrolled at 11 partnerinstitutions (6 HSIs and 5 PWIs). All Latinx and White engineering majors enrolled at thepartner institutions in the 2014-2015 academic year were invited to participate in an onlinesurvey, which included measures (see Table 1 for a list of all measures with citations, totalnumber of items, and internal consistency reliabilities) to assess demographic data, engineeringlearning experiences, engineering perceived supports, engineering perceived barriers,engineering self-efficacy, engineering positive outcome expectations, engineering negativeoutcome expectations, engineering interests, engineering academic satisfaction, engineeringacademic engagement, engineering persistence

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wonki Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

their learning [1], [2]. TheMSLQ is one of the most extensively used scales designed to assess self-regulated learning [3].Pintrich and colleagues developed the MSLQ [2] to measure three components (motivation,metacognition, and behavior) of self-regulated learning [2]. It has been widely validated anddeployed in university engineering education settings. The MSLQ has two parts: Motivation and Learning Strategies. Motivation scales arecomposed of three dimensions (value, expectancy, and affective) with 31 items subdivided intosix subscales: intrinsic goal orientation, extrinsic goal motivation, task value, control beliefs,self-efficacy for learning and performance, and test anxiety. The learning strategies scalemeasures two dimensions

Conference Session

Pre-college Engineering Education Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kayla R. Maxey, Purdue University, West Lafayette; Morgan M. Hynes, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

Society for Engineering Education, 2020 Connecting Middle School Students’ Personal Interests, Self-efficacy, andPerceptions of Engineering to Develop a Desire to Pursue Engineering Career Pathways (Work in Progress)AbstractWith the increased exposure to science, technology, engineering, and mathematics (STEM)through activities in-school and out-of-school K-12 learning environments and representation inmedia outlets, students who attend our summer engineering intervention tend to articulate a moreholistic understanding of the role of engineers within society. However, despite this increasedexposure and a diverse understanding, students from diverse backgrounds (e.g.,racially/ethnically diverse and women) still pursue

Conference Session

NSF Grantees: Entrepreneurship

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Magdalini Z. Lagoudas, Texas A&M University; So Yoon Yoon, University of Cincinnati; Rodney Boehm, Texas A&M University; Samantha Asbell, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

college. This study presented assessment data from a NSFI-Corps site program at a Southwestern university to understand the impact of the program onundergraduate and graduate engineering students’ knowledge, perceptions, and practice ofentrepreneurship. In the four-cohort assessment data, participants indicated significantlyincreased confidence in value proposition, self-efficacy in entrepreneurship, and customerdiscovery, while maintaining high interest in entrepreneurship. Furthermore, the data indicatedthat participants with a GO decision (to continue pursuing their technology) had significantlyhigher perception on the current status of technology and business model than did participantswith a no-GO/unsure decision. In addition, this study

Conference Session

STEM Issues in ET

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lei Xie, Texas State University; Malini Natarajarathinam, Texas A&M University; Bugrahan Yalvac, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

engineering technology for elementary students Abstract Mentoring is being prevalently used in higher education. Traditionally, these programsare unidirectional that includes forward knowledge transfer. The internal mechanism of howto form an effective mentoring relationship between mentors and mentees is unclear. This pilotstudy focused on Person-Environment (P-E) fit perspective and zeroed in on how the mentor-mentee relationship affect mentees’ self-efficacy. We conducted semi-structured interviews withthree mentees to explore how P-E fit affected their self-efficacy. This qualitative study is a pilotstudy, future data collection and analysis will continue

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bradley Cicciarelli, Louisiana Tech University; Eric A. Sherer, Louisiana Tech University; Baker A. Martin, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Chemical Engineering

. Thequalitative similarity between Figure 5c and Figure 3 is logical since the reported number ofpotential study partners is a single-item measure of social integration. The administration ofsurveys in Spring 2020 will help determine whether these rating increases experienced bycampers are sustained throughout the sophomore year. The data in Figures 2-4 suggest that thereis some lasting effect. Figure 5. Average student survey ratings of (a) chemical engineering self-efficacy, (b) coping self-efficacy, and (c)social integration and academic integration. Error bars indicate the 95% confidence interval.Future Work We will continue to collect student data using the improved surveys with responsestracked to individual students. Once the data set is

Collection

2017 Gulf Southwest Section Conference

Authors

Tariq Khraishi; Kristine Denman

institution academically and socially are more likely to dropout, and that both the individual and the institution play a role (Meyer and Marx, 2014). Further,early and strong integration into the institution has been associated with increased retention(Walden and Foor, 2008). In the sections that follow, we discuss the roles of self-efficacy,institutional integration, and career development in student retention.Self efficacySelf-efficacy refers to perceived self-confidence or level or competence (Raelin et al., 2014). Theliterature has identified a variety of types of self-efficacy, which have been measured in a variety ofways, and have found self-efficacy is strongly associated with both retention in academicinstitutions and careers in engineering