Conference Session

Undergraduate Recruitment

Collection

2012 ASEE Annual Conference & Exposition

Authors

Susan Shapcott, Arizona State University; Katherine G. Nelson, Arizona State University; Jenefer Husman, Arizona State University

Tagged Divisions

Women in Engineering

-efficacy (i.e., thinks she can succeed).19 Knowing the relation of self-efficacy with motivation, engineering educators havefocused intensely on it. Researchers have devised ways to measure self-efficacy in engineeringstudents14 and have successfully conducted interventions that have increased self-efficacy levelsof female engineering students.15 These interventions have increased self-efficacy by engagingfemale engineering students in mastery-orientated classes15 and curriculum design.20 A mastery-orientated classroom emphasizes learning new skills by focusing on the processes they involve.For example, Baker and colleagues, 2007, developed a course that embedded “tinkering”activities and applied technical skills. Class content that

Collection

2023 ASEE Annual Conference & Exposition

Authors

Robert Petrulis; Sona Gholizadeh, University of South Carolina; Ed P Gatzke, University of South Carolina

Tagged Topics

Diversity

belonging and self-efficacy items were adapted from a study on the self-efficacy of women engineering students and a dissertation (Marra et al., 2009; Jordan, 2014). Identity, teamwork self-efficacy, and community involvement items were adapted from a study that investigated how underrepresented students’ self-efficacy and identity impact their science career commitment (Chemers et al, 2011). Items about college life experience were adapted from the National Survey of Student Engagement (Kuh et al., 2011). The six factors we measured are as follows: ● Self-efficacy: Confidence in the participant’s own ability to complete a degree and succeed in an engineering or computing career. ● Sense of belonging: Feeling part of the engineering or

Conference Session

Best In DEED

Collection

2019 ASEE Annual Conference & Exposition

Authors

Eric Reynolds Brubaker, Stanford University; Vikas Rammohan Maturi, Stanford University; Barbara A. Karanian, Stanford University; Sheri Sheppard, Stanford University; David Beach, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

in making—in tinkering, infiguring things out, in playing with materials and tools” [8, p.528]. Recent studies found thatstudents involved in hand-on design and making exhibited increased motivation, self-efficacy,expectations of success, and interdisciplinary awareness [9-12]. Further work is underway todevelop scales that measure belonging in makerspaces [13] and maker identity [14]. Finally,research has begun to uncover barriers to equity in makerspaces, including ways in which theyare gendered [15-17] and the learning strategies employed by women who make [18]. This study aims to better understand how much and under what conditions students aretransformed through hands-on experience designing and making`. We examine a

Conference Session

Undergraduate Track - Technical Session VII

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Kasi Kiehlbaugh, University of Arizona; Paul Blowers, University of Arizona

Tagged Topics

Diversity, Undergraduate Education

interventions and scale up across the College of Engineering. Page 1 of 8The ApproachAlthough we arrived at a set of scalable and cost-effective interventions through iterativeexperimentation in the classroom, each of the interventions are grounded in three well-understoodaffective learning categories—belongingness, self-efficacy, and metacognition.Extensive measurements show a correlation between student persistence and feeling connected toothers—their sense of belongingness [19] – [21]. Students who feel disconnected from their peers,major, or institution will often leave; this is particularly true for women, transfer students, andunderrepresented minorities [22], [23]. While many studies measure

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel E. Durham, Notre Dame of Maryland University; Michael L. Falk, The Johns Hopkins University; Alexis Daniels, The Johns Hopkins University; Allison Reigel, The Johns Hopkins University; Alisha Nicole Sparks, The Johns Hopkins University; Margo K. Williams, The Johns Hopkins University; Emily J Yanisko, American University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

design was used where schools were assignedto either treatment or control conditions. Students in treatment schools accessed algebra-for-engineering modules, STEM-professional role model videos, and field trips, while students incontrol schools accessed role model videos and field trips only. Surveys measuring math self-efficacy, and STEM interest, outcome expectations, and choice goals were completed byparticipants in both conditions at the beginning and end of two separate program years, 2021-22and 2022-23. Across both years, quantitative results suggest some positive effects of BOASTparticipation, particularly for STEM choice goals, but benefits depend upon student participationlevels. Qualitative data offer student voice around prior

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

K-12 & Pre-College Engineering Division: Fundamental; K-12 Students & Engineering Division: Fundamental; K-12 Students & Engineering Design Practices: Best Paper Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ninger Zhou, Purdue University; Tarun Thomas George, Purdue University; Joran W. Booth, Purdue University; Jeffrey Alperovich, Purdue University; Senthil Chandrasegaran, Purdue University; Nielsen L. Pereira, Purdue University; Jeffrey David Tew Ph.D.; Devaatta Nadgukar Kulkaerni; Karthik Ramani

Tagged Divisions

Pre-College Engineering Education Division

develop self-efficacy beliefs in design, modeland scaffold engineering design mindsets, and apply design concepts in engineering design. Theresearch questions we intend to address include: 1. What is the influence of the toy design workshop on students' self-efficacy? 2. What is the influence of the toy design workshop on students' application of engineering design concepts during design?Theoretical frameworkSelf-efficacy in Engineering DesignEngineering design self-efficacy is the degree to which students believe they can excel at tasksrelated to design and making3. Social cognitive theory and previous research has suggested thatstudents’ self-efficacy beliefs are under the influence of mastery experiences

Conference Session

Assessment of Learning in ECE Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

Laura K. Alford, University of Michigan; Andrew Deorio, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

success of our program is to use entry and exit surveys to gauge thechange in students’ perceptions of their abilities and learning environment. In particular, we areinterested in the difference between URM students’ and non-URM students’ perceptions of theirabilities and the learning environments in these courses.In the present study, our overarching research question is: Do underrepresented students andnon-underrepresented students show a statistically significant difference in their perceptions oftheir abilities and learning environment as measured by self-efficacy, intimidation byprogramming, and feelings of inclusion?This paper presents entry and exit survey results from three semesters (Fall 2017, Winter 2018,and Fall 2018) of two

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Lisa Schneider, Cornell University; Maria Terrell, Cornell University

Tagged Topics

NSF Grantees

-item online survey adapted from the Longitudinal Assessmentof Engineering Self-Efficacy (LAESE) instrument developed as part of the NSF-fundedAssessing Women in Engineering (AWE) project (Assessing Women in Engineering (AWE)Project, 2007).The LAESE was designed to measure undergraduate students’ self-efficacy related to succeedingin the engineering curriculum, as well as feelings of inclusion in the academic environment,ability to cope with setbacks or challenges related to the college environment, and expectationsabout engineering career success and math outcomes. The original use of the instrument wasfocused on self-efficacy among undergraduate women engineering students, and specifically onthe relationship of self-efficacy and the other

Conference Session

Multidisciplinary Technical Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Barbara A Masi, Massachusetts Institute of Technology

Tagged Divisions

Multidisciplinary Engineering

in which undergraduates can participate. The question is how might such initiativeshelp create an integrative learning experience for undergraduate education? What constitutes anintegrative learning experience? And how might impact on students be measured?BackgroundPerceived self-efficacy is defined as a person’s belief in his or her abilities to successfullycomplete a task or reach a goal. The choices that people make are directly governed by theirperception of their self-efficacy – people will gravitate towards activities and situations that theyare confident they will succeed in and avoid situations that require skills and abilities that theymight lack.According to Bandura, students who have the opportunity to successfully complete a real

Conference Session

Engineering Student Experiences

Collection

2014 ASEE Annual Conference & Exposition

Authors

Denise Wilson, University of Washington; James J. Pembridge, Embry-Riddle Aeronautical Univ., Daytona Beach; Caitlin H. Wasilewski, Seattle Pacific University

Tagged Divisions

Educational Research and Methods

Significant Differences in Student Affective ExperienceAbstractThis study looks at differences in non-intellective measures expressed by two engineeringstudent populations, one at a large public university in the pacific northwest and the other a smallprivate aerospace institution in the southeast. Both student populations are in their first year ofstudy in their respective engineering majors. Previously validated, Likert scale items were usedto measure self-efficacy, task value, peer support, two forms of faculty support, and two forms ofbelonging using a survey instrument. Students at the small private university reported that theirinstitution was friendlier and had a greater sense of togetherness than the public institution.However, no significant

Conference Session

Student Engagement, Socioemotional Needs, and Social Support During Pandemic

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sarah E. Zappe, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Sam Spiegel, Colorado School of Mines; Deb Jordan, Colorado School of Mines; Ariana C. Vasquez, Colorado School of Mines

Tagged Divisions

Educational Research and Methods

Theories of Engineering Abilityscale, which is an 8-item Likert-type scale measuring the degree that engineering ability is moreof an innate, fixed trait, or consisting of skills that can be improved with training and practice. Wealso created a measure, which we call the Implicit Theories of Advanced ManufacturingCompetencies scale, that is intended to measure learners’ beliefs about the malleability of thecompetencies associated with advanced manufacturing.Self-efficacy within the course modules will be measured by the self-efficacy scale on Pintrichand colleagues’ (1991) Motivated Strategies for Learning Questionnaire (MSLQ). An additionalscale that was developed by the authors of this paper includes a domain-specific measure of self-efficacy

Conference Session

Emerging Computing and Information Technologies II

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sushma Sanga, Bosch Inc; Ali Eydgahi, Eastern Michigan University

Tagged Divisions

Computing & Information Technology

-theft anxiety level in college students. This study performed several analyses ona developed questionnaire to ensure validity and reliability. After examining all proposedhypotheses, it was found that electronic devices self-efficacy and electronic devices usage havesignificant impact on identity-theft anxiety level of the students. The data also support arelationship between information security awareness of the students and their identity-theftanxiety level. This research also showed that gender, employment status, race, and age havemoderating effects on all hypotheses. The outcome of this study indicated that moreinformation should be provided to students regarding how to take proactive measures inusing their electronic devices in order to

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

NSF Grantees Poster Session II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jane Gage Stout, Computing Research Association; Neslihan Burcin Tamer, Computing Research Association

Tagged Topics

Diversity, NSF Grantees Poster Session

women, and how those stereotypic beliefs are related to engagement in computingacross time. Our research took place over the course of a year, and involved two time points of datacollection. During the first time point, we measured women’s stereotypic beliefs about gender aptitudein computing, as well as their self-conceptions in computing (i.e. self-efficacy, belonging, andidentification with computing). One year later, we measured women’s self-conceptions again, as well aswhether women had participated in collaborative learning activities during the past year. We thengauged the link between stereotype endorsement and self-conceptions, and whether that link wassevered among women who had participated in collaborative learning. We expected that

Conference Session

Entrepreneurship & Engineering Innovation Research Technical Session 7

Collection

2014 ASEE Annual Conference & Exposition

Authors

Philip M. Reeves, The Pennsylvania State University; Sarah E. Zappe, Pennsylvania State University, University Park; Elizabeth C. Kisenwether, Pennsylvania State University, University Park; D. Jake Follmer, The Pennsylvania State University; Jessica Menold, Pennsylvania State University, University Park

Tagged Divisions

Entrepreneurship & Engineering Innovation

multiple entrepreneurial situations including idea generation, problemsolving, and opportunity recognition. While educators are still working on the best method ofdeveloping and measuring creativity, it is possible to gauge an individual’s creative self-efficacy,which Tierney and Farmer defined as ‘the belief that one has the ability to produce creativeoutcomes’ (p . 1138)7. For this study, permission was granted to use Tierney & Farmer’s Creative Self-EfficacyMeasure7. The measure contains three items (with a Cronbach’s alpha, internal consistencyreliability, coefficient of α=.574) on a 7 point Likert scale (1= very strongly disagree through 7=very strongly agree). The scale has been used in numerous research studies and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ioana A. Badara, Post University; Buket D. Barkana, The University of Akron; Deana A. DiLuggo, University of Bridgeport

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

specific questions and aspects of the engineering design process,brainstorming ideas, and actively engaging in research as a team. Observations have revealedstrong student engagement in course activities and evidence of faculty following the ARG model.4.3 EDSE InstrumentThe EDSE instrument is a 36-item questionnaire designed to measure students' self-conceptstoward engineering design tasks. It assesses four areas related to engineering identity developmentusing a scale of 0 to 100 (0 = low level; 50 = moderate level; 100 = high level). The areas assessedinclude: self-efficacy, motivation, expectancy, and anxiety. In each area the following engineeringdesign tasks were assessed: conducting engineering design, identifying a design need, researchinga

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Diana Arboleda, University of Miami; James Giancaspro P.E., University of Miami; Aaron Heller, University of Miami

Tagged Topics

NSF Grantees Poster Session

of course content, andpsychological stressors.3. Research MethodologyThe research approach is to conduct an Ecological Momentary Assessment (EMA) study, whichinvolves frequent self-reporting of participants' behaviors and affect in real-time at periodicintervals [9]. Also known as "experience sampling", this approach utilizes electronic polling (viatext message) to collect students' affect and self-efficacy in real-time on a recurring schedule andaround examination times. Polling can improve student participation and serve as an effectivefeedback loop [10-12].Validated psychometric test instruments were utilized to measure affect, self-efficacy,motivation, and engineering identity. Since changes in affect may serve as the earliest

Conference Session

Goal Specific First-Year Courses

Collection

2009 Annual Conference & Exposition

Authors

Lesley Strawderman, Mississippi State University; Bill Elmore, Mississippi State University; Arash Salehi, Mississippi State University

Tagged Divisions

First-Year Programs

did not present any significantcorrelations with efficacy. However, the number of high school preparatory courses (e.g.calculus, physics) was significantly correlated with the third measurement of academic self-efficacy (0.476, p = 0.006). The positive correlation signifies that students who took morepreparatory courses achieved higher levels of academic self-efficacy by the end of the semester.Additional significant correlations are found in Table 6.Students who experienced an increase in academic self-efficacy throughout the semester reportedsignificantly higher results for two outcome variables: perceived quality (p = 0.017) andsatisfaction (p = 0.034). Additionally, students who reported an increase in academic self-efficacy throughout

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

K-12 Teacher Pre-Service and Undergraduate Instructor Training

Collection

2014 ASEE Annual Conference & Exposition

Authors

Howard L. Greene, The Ohio State University; Xi Zhan, Department of Educational Studies, The Ohio State University; Anika Anthony, The Ohio State University; Paul E. Post, The Ohio State University; Andrew James Parkhurst, Ohio state university

Tagged Divisions

K-12 & Pre-College Engineering

in engineering and preparing practicing teachers and engineering students tointroduce middle school students to the engineering design process. This paper describes theTEK8 university-school partnership and presents results from a preliminary study conducted toexamine the partnership’s effectiveness for preparing teachers and engineering students tointerest middle school students in engineering. Data were collected using interviews,observations, and a teacher self-efficacy survey. The survey was appropriated to focus onteachers’ and engineering students’ self-efficacy to interest middle school students inengineering. Methods of analysis included discourse analysis, the constant comparative method,and the nonparametric 1-tailed Wilcoxon

Conference Session

PCEE Session 2: Teacher Learning Experiences

Collection

2022 ASEE Annual Conference & Exposition

Authors

Rebekah Hammack, Montana State University - Bozeman; Ibrahim H. Yeter, Nanyang Technological University

self-efficacy: Substantive implications and measurement dilemmas. Presented at the annual meeting of the Educational Research Exchange, Texas A & M University.Hyde, J. S. (2007). Women in science: Gender similarities in abilities and sociocultural forces. Why Aren't More Women in Science?: Top Researchers Debate the Evidence., 131–145. https://doi.org/10.1037/11546-011Kurup, P. M., Li, X., Powell, G., & Brown, M. (2019). Building future primary teachers' capacity in STEM: Based on a platform of beliefs, understandings and intentions. International Journal of STEM Education, 6(1), 1–14. https://doi.org/10.1186/s40594019-0164-5Lee, M.-H., Hsu, C.-Y., & Chang, C.-Y. (2018). Identifying

Conference Session

Knowing Our Students III

Collection

2006 Annual Conference & Exposition

Authors

Brad Kinsey, University of New Hampshire; Erick Towle, University of New Hampshire; Grace Hwang, University of New Hampshire; Edward J. O'Brien, University of New Hampshire; Christopher F. Bauer, University of New Hampshire

Tagged Divisions

Educational Research and Methods

engineering has been disputed in the literature. To provide furtherdata to answer this question, portions of the Purdue Spatial Visualization Test (PSVT)were administered to freshman engineering and undeclared students from a College ofEngineering and Physical Science (CEPS). In addition, a self efficacy test, which wasdeveloped to assess the self confidence of students related to spatial tasks, was alsoadministered. The data analysis showed that those students who remained in CEPS fromtheir freshman to sophomore year (either change majors within CEPS or stayed in thesame major) performed better on the PSVT than those students who changed colleges orwithdrew from the university. For the self efficacy measure, a similar effect was found;however, this

Conference Session

Design Mental Frameworks

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Devanshi Shah, University of Georgia; Elisabeth Kames, Florida Polytechnic University; Beshoy Morkos, University of Georgia

Tagged Divisions

Design in Engineering Education

The MSLQ survey used in the previous study was an adapted version of Pintrich’s MSLQconsisting of only five factors of motivation; cognition, intrinsic value, self-regulation,presentation anxiety, and self-efficacy. This is abbreviated compared to the original MSLQdesigned by Pintrich and his team which measured a total of fifteen factors of motivation. Whilethis approach is designed to target factors that are illustrated by Pintrich to influence the successof students in STEM fields, it is also important to understand and identify possibleinterdependency of the five factors in the adapted version. In this paper, we seek to study the dependency of earlier listed motivation factors to establishunderstanding at a finer resolution –to the

Conference Session

Knowing Students: Diversity & Retention

Collection

2003 Annual Conference

Authors

Janet Schmidt; Greg Wilkins; Clay Gloster; Robert Lent; Linda Schmidt

) completed measures of SCCT’scentral person (e.g., self-efficacy) and contextual (e.g., social support) variables. Findingsindicated that the set of SCCT variables accounted for a large proportion of the variancein academic goals, regardless of student sex or university type. Implications for futureresearch and for practical efforts to attract and retain women and students of color withinengineering are discussed.IntroductionSocial cognitive career theory4 (SCCT) is aimed at explaining the processes throughwhich people develop basic academic and career-related interests, translate their interestsinto choices, and achieve performances of varying quality in their educational andoccupational pursuits. Among its predictions, SCCT maintains that people

Conference Session

Faculty Development II: Building Community Among STEM Educators

Collection

2016 ASEE Annual Conference & Exposition

Authors

Toni Ivey, Oklahoma State University; Nicole M. Colston, Oklahoma State University; Julie Thomas, University of Nebraska, Lincoln; Juliana Utley, Oklahoma State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

and perceptions regarding engineering.Additionally, changes in teachers’ self-efficacy of teaching engineering and students’ attitudesabout science and engineering were measured. This article discusses the value of elementaryengineering education in rural communities.Keywords: Engineering education; professional development; elementary; rural schoolsIntroduction Science education in elementary (K-6) curriculum is often lacking and leads towidespread lack of preparation and misconceptions about fundamental science ideas in middleand high school students.1 Researchers have documented that elementary classroom scienceinstruction is typically limited and of low quality.2,3,4,5 Further, results from a 2013 nationalsurvey indicated that

Conference Session

Design in Engineering Education Division (DEED) Technical Session 14

Collection

2023 ASEE Annual Conference & Exposition

Authors

Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Texas A&M University; Lance Leon Allen White, Texas A&M University; Kerrie A. Douglas, Cornell University; Karan Watson P.E., Texas A&M University; Tracy Anne Hammond, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

SketchTivity?A Drawing Self-Efficacy Instrument was used to measure the pre and post self-efficacy of studentswho practiced using SketchTivity[25]. The instrument consisted of 13 items and the average ofdrawing self-efficacy score was calculated for each student.B. ParticipantsThe participants in this study consisted of undergraduate and graduate students enrolled in fourcourses at three different institutions. Out of a total of 138 students enrolled in three courses atthree institutions, 137 students responded to Q1 and Q2; 109, 88, and 65 participants respondedTable 1: Demographics of the participants Participant demographcis Percentage Men 76.09% Women 18.84% First-generation 10.14

Conference Session

Student Division (STDT) Technical Session 1: Student Success and Mentoring

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kathryn Christopher, Grand Valley State University and Western Michigan University; C.J. Witherell, Grand Valley State University; Aziz Gram Sarhan

Tagged Divisions

Student Division (STDT)

1980s.THE SMART goal framework, published by George Doren, states that goals should be Specific,Measurable, Attainable, Realistic, and Timely [17]. This overlaps with Latham and Locke’s goal-setting theory but is much more detailed and seems to diverge from their suggestion that goals bedifficult, rather than stating that goals should be both attainable and realistic instead of lofty ordifficult. If we are to follow Bandura’s self-efficacy model, students need “mastery experiences,”which should be somewhat challenging but attainable. The ideal degree of difficulty is likelyindividualistic, but the experience itself can be small or large.Several papers have noted the effect of goal setting on students and engineers [16-22]. However,only two papers

Conference Session

NEE 2 - Strategies to Improve Teaching Effectiveness

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joanna Wright, University of Washington; Lauren N. Summers, University of Washington; Denise Wilson, University of Washington

Tagged Divisions

New Engineering Educators

one’s capacity to organize and execute the courses of action required to produce givenattainments” (p. 3) [22]. Bandura identified four primary sources of self-efficacy: masteryexperiences, vicarious experience, verbal persuasion and physiological states [23]. Self-efficacybeliefs have been understood to be strong predictors of behavior [24].Self-efficacy beliefs are not inherent or global traits of an individual; rather, they are “active andlearned systems of belief held in context” (p. 754) [25]. Thus, an instructor may feel high levelsof teacher self-efficacy in particular teaching tasks or domains and lower levels of teacher self-efficacy in others. Scales used for measuring teacher self-efficacy ask teachers to rate their levelof

Conference Session

First-Year Programs Division Technical Session 13: Work-in-Progress Postcard Session #2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sophia Santillan, Duke University; Lupita TeMiquel-McMillian, Duke University; Jennifer Ganley; Stacy Tantum, Duke University

. M. Allen, “Essential Functions of Academic Advising: What Students Want and What Students Get,” NACADA Journal, vol. 26, no. 1, pp. 56-66, 2006.[5] B. J. Zimmerman, A. Bandura and M. Martinez-Pons, “Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting,” American Educational Research Journal, vol. 29, no. 3, pp. 663-676, 1992.[6] 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,” Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 2016.[7] B. W. Smith, J. Dalen, K. Wiggens, E. Tooley, P. Christopher, and J. Bernard, “The Brief Resilience Scale: Assessing the