Conference Session

Career Decisions and Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Trevion S. Henderson, University of Michigan; Katie A. Shoemaker, University of Michigan; Lisa R. Lattuca, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

social pressure tosucceed in engineering. Students were asked to respond on a 5-point Likert scale (1=StronglyDisagree and 5=to Strongly Agree)to the survey item that read, “I would be embarrassed if Ifound out that my work in my science or engineering major was inferior to that of my peers.”Finally, since Ajzen argued that perceived behavioral control is highly compatible withBandura’s concept of perceived self-efficacy, we measured perceived behavioral control using asubscale of our engineering self-efficacy measure. Items in the subscale of Engineering MajorConfidence were measured on a five-point Likert scale (i.e., Strongly Disagree to StronglyAgree). Example items included, “I can succeed in an engineering major” and “Someone like mecan

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Indira Chatterjee, University of Nevada, Reno; Kelsey Scalaro, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Jeffrey C. LaCombe, University of Nevada, Reno; Julia M. Williams, Rose-Hulman Institute of Technology; Adam Kirn, University of Nevada, Reno

Tagged Topics

Diversity, NSF Grantees Poster Session

students to enter graduate school. Quantitative measurableoutcomes will include increased student retention; increased cohort self-efficacy and identitystatistics; higher-than-average graduation rate for the cohorts through evidence-based programs;and successful placement in industry or graduate school. CREATE will have a broad impact onlow-income, academically talented students in two key ways (1) Support of 32 students withscholarships; and (2) Implementation and assessment of academic and professional developmentsupport mechanisms that are tuned to the needs of these students. Both impacts achievestate/federal strategic workforce diversification goals. Qualitative measurable outcomes willinclude attaining academic and personal goals; increased

Conference Session

Teaching Analog and Digital Communication: Novel Ideas for Lecture Courses, Laboratories, and Projects

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ratchaneekorn Thamvichai, Saint Cloud State University; Tonya Lynette Smith-Jackson, Virginia Tech; Carl B Dietrich P.E., Virginia Tech; Tamal Bose, Virginia Tech

Tagged Divisions

Electrical and Computer

these results, the self-efficacycriterion was met. Figure 1 illustrates the means of the total CASE values from pre- to post-test. To explore cultural differences, a Friedman Test was conducted using the minority andmajority group membership as a two-level predictor and the pre-test CASE and post-testCASE as repeated measures criterion variables. A significant interaction (time x group) wasidentified, F (1, 8) = 6.41, p < .05. Students in the underrepresented (minority and women)group changed significantly from pre-test to post-test19. Table 1: Modified College Academic Self-Efficacy Scale Items Understanding the knowledge base of cognitive communications. Working on teams in an effective manner. Thinking in a way that

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nathan W. Klingbeil, Wright State University; Anthony Bourne, Wright State University

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

performance in calculus, studentperformance in core engineering courses, and ultimate graduation rates. The current paper willprovide a longitudinal analysis of student perception data, as measured by end-of-course surveys.In particular, the extent to which reported increases in student motivation and self-efficacy havecontributed to the previously reported increases in ultimate graduation rates will be investigated.The Wright State ModelIt is well known that student success in engineering is highly dependent on student success inmath, and perhaps more importantly, on the ability to connect the math to the engineering1-6.However, first-year students typically arrive at the university with virtually no understanding ofhow their pre-college math

Conference Session

Retention

Collection

2017 ASEE Annual Conference & Exposition

Authors

Stephanie Laggini Fiore, Temple University; Shawn Patrick Fagan, Temple University; David Brookstein, Temple University

Tagged Divisions

Educational Research and Methods

(Meyer & Marx, 2014).Although the traditional response in addressing student preparedness is the strengthening of mathand science education at the K-12 level, additional individual factors have been found to play akey role in retention. In addition to aptitude factors, Big Five personality traits(Conscientiousness, Openness, etc.) and affective factors (attitudes, self-esteem, self-efficacy,etc.) have been proven to contribute to retention in engineering programs. According to Hall etal. (2015), “studies have shown internal locus of control, academic self-esteem, self-efficacy, andthe [Big Five] personality trait of Conscientiousness have contributed to retention inengineering” (p. 170). In other words, students that have exhibited higher

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiao Ge, Stanford University; Mark Schar, Stanford University; Helen L. Chen, Stanford University; George Toye; Sheri D. Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods Division (ERM)

’ workplace behaviors. The same Likert scale was used.Job roles: A few variables were included to measure job roles, including: working for a medium-or large-size business (relative to all the alternatives, coded as a 0-1 dummy variable), andmultiple choice questions about specific work functions (e.g., working in R&D, Design,Manufacturing, or Management roles) and career choices (e.g., Startup career).Self-efficacy measures: Self-efficacy measures people’s perceived confidence in their ability tosuccessfully perform tasks and activities in certain domains, and have shown to be importantpredictors of their work outcomes [74]. We use pre-established scales as detailed in [61] tocapture participants’ beliefs about their personal efficacies in four

Conference Session

Mechanical Engineering Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nolan Tsuchiya P.E., California State Polytechnic University, Pomona; Zhaoshuo Jiang P.E., San Francisco State University; Alec William Maxwell, San Francisco State University; Zahira H. Merchant

Tagged Divisions

Mechanical Engineering

students’ self-efficacy on critical engineering concepts using a five-point Likert-type scale from strongly agree to strongly disagree [15]. In this context, self-efficacyis defined as the ability of students to learn concepts and perform tasks efficiently [16]. Summer2017Results:Self-efficacy,FrequencyResponse Measures Mean Pre/Post T-test p value Q1 1.94/1.50 3.259 0.03 Q2 2.19/1.75 3.458 0.02 Q3 2.47/1.81 4.116 0.000 Q4 2.13/1.66 3.695

Conference Session

Women in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Shaundra Bryant Daily, Duke University; Jessica Sperling, Duke University; Megan Gray, Duke University; Medha Gupta, Thomas Jefferson High School for Science and Technology; Amy Arnold, Duke University; Kelly Perri, Duke University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

internships (this occurred between July and August 2018). All surveys wereadministered electronically through Qualtrics, and participants completed the surveys on theirown time. In total, 52 Scholars completed the pre-survey, 49 completed the post-survey, and 44completed both (68% response rate both pre and post assessments, based on n=64 summerprogram completers).Outcome measures were based upon the program theory of change and included multi-itemscales for general self-efficacy/perseverance; computer science/engineering self-efficacy in anapplied setting; teamwork, leadership, and communication skills (in both academic and appliedsettings); and mentoring and peer relationships. In addition, the post-program questions alsoaddressed confidence and

Conference Session

Perspectives on Service Learning: Challenges, Successes, and Opportunities

Collection

2019 ASEE Annual Conference & Exposition

Authors

Michael Foster, George Fox University; Gary E. Spivey, George Fox University

Tagged Divisions

Community Engagement Division

her contribution to the statistical analyses completedfor this paper.References[1] M. Foster and G. Spivey, "Preparing Engineers for Service," in 2012 ASEE Annual Conference and Exposition, San Antonio, TX, 2012.[2] E. Coyle, L. Jamieson and W. Oakes, "EPICS: Engineering Projects in Community Service," International Journal of Engineering Education, vol. 21, no. 1, pp. 139-150, 2005.[3] E. Coyle, L. Jamieson and W. Oakes, "Integrating Engineering Education in Community Service: Themes for the Future of Engineering Education," Journal of Engineering Education, vol. 95, no. 1, pp. 7-11, 2006.[4] A. Carberry, H. Lee and M. Ohland, "Measuring Engineering Design Self-Efficacy," Journal of Engineering Education, vol. 99, no. 1, pp

Conference Session

Women in Engineering Division Technical Session 10

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Katherine L Walters, University of Georgia ; John M Mativo, University of Georgia; Uduak Zenas George, San Diego State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

efficacy in mathematics higher than women [17]. Itis also important to look at SES as a factor as higher SES students tend to have higher gradeswhich may lead to higher reports of self-efficacy across disciplines. By identifying the influences and interests of the undergraduate women enrolled inengineering majors, the ultimate goal of this study was to identify possible avenues to invest oureffort towards enhancing the recruitment and retention of female engineering students. The studywas guided by the following research questions. 1. What do women identify as influences for enrolling in an engineering major? 2. What role does their educational and family backgrounds play in their success, as measured by GPA? To answer the research

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hannah Huvard, New Mexico State University; Hengameh Bayat, New Mexico State University; Sandra M. Way, New Mexico State University; Catherine Brewer, New Mexico State University; Addison Miller; Antonio Garcia, New Mexico State University

59.4% 62.6% Low Income 50% 44.4% First Generation 32% 34.3%Survey Instrument and Measures The survey included demographic questions (age, gender, socioeconomic status, andfirst-generation status), as well as three scales related to students’ self-reported levels ofengineering identity, self-efficacy, and SDL. The engineering identity scale was adapted fromGodwin’s [7] Measure of Engineering Identity, which includes questions related to students’interest in engineering, recognition for contributions to their field by self and others, andperceptions of competence and performance in engineering. General engineering self-efficacywas

Conference Session

Pre-college Engineering Education Division Technical Session 18

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Chadia A. Aji, Tuskegee University; M. Javed Khan, Tuskegee University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

using the Math and Science Teaching Efficacy Beliefs instruments forteachers, and a validated 65-item STEM attitude survey for students. A content knowledgeassessment was also conducted for the students. Analyses of data from the professionaldevelopment workshop and the summer camp indicated a positive impact of the teaching andlearning technique. The teachers reported high self-efficacy in their ability to implement theapproach in their classrooms. Assessment of students’ content knowledge showed increasedunderstanding of the concepts taught with the approach. A positive attitude towards STEM wasalso reported by the student participants. This research is supported by NSF Grant# 1614249.IntroductionThe science, technology, engineering and

Conference Session

Women in Engineering Poster Session

Collection

2005 Annual Conference

Authors

Ji Yeon Hong; Charla Triplett; Jenefer Husman

the middle of trying to balance personal needsor goals with professional ones. This study suggests that role conflict may create moreproblems for women who enter a non-traditional field such as engineering.SummaryAlthough many factors influence career goals, recent research in women’s career developmenthave focused on issues such as gender role attitudes, family issues, multiple role conflict, and theeffects of support and barriers (Hackett 1997). Social cognitive career development theoriesfocus heavily on self-efficacy beliefs. Hackett and Betz (1981) have suggested that women’sgender role socialization process does not provide them many opportunities to develop self-efficacy in tasks that are necessary for traditionally male

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Bimal Nepal, Texas A&M University; Michael Johnson, Texas A&M University; Amarnath Banerjee, Texas A&M University; Glen Miller

school STEM teachers. Working with universityfaculty and graduate students, these teachers will develop learning modules on ethical issuesrelated to their courses. The snapshot will also identify gaps and guide the creation of targetedinterventions that will be used in second-, third-, and fourth-year engineering courses.This data-driven project uses a mixed-methods approach to generate a better understanding of theimpact of ethics interventions at various points in a student's academic development by developingand using a set of instruments to measure cognitive, affective, and behavioral aspects of ethicalcompetency and self-efficacy. To that end, a second snapshot will be taken by testing andsurveying engineering students in their capstone

Conference Session

Reviewing Emergent Topics and Theory in Engineering Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alexander V. Struck Jannini, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods Division (ERM)

year. Another important finding was that expectancy beliefs werepositive predictors of academic achievement in the form of higher GPAs, while value beliefswere predictors of more concrete career plans. Another study that found differences based on sexwas looking into intelligence beliefs and social comparisons [50]. The results of this papershowed that strong self-efficacy, which relates to expectancy measures, was more beneficial tofemales than males regarding final course grades. Another interesting, and concerning, findingwas that intelligence growth mindsets had no correlational effect on self-efficacy for women andthat students concerned with social comparisons were just as detrimental to self-efficacy for bothmales and females. Social

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Loay Al-Zube, University of Mount Union; Sara Dorris, University of Mount Union

Tagged Divisions

Biomedical Engineering Division (BED)

Experience: A large design oriented clinical immersion course based in emergency departments. 2016.13. Carberry, A. R. and Lee, H., Measuring Engineering Design Self-Efficacy. Journal of Engineering Education, 2010. 99(1) :71-79.14. Aultman Website “Student Experiences” [Online]. Available:https://aultman.org/education/students-at-aultman-hospital/#/ [Accessed April 14, 2023].15. Aultman Website “Healthcare Observations” [Online].Available:https://aultman.org/education/students-at-aultman-hospital/ah-job-observation-2/#/[Accessed April 14, 2023].16. Infobase Website [Online]. Available https://infobase.com/ [Accessed April 14, 2023].Appendix I: Career Aspiration QuestionnaireSurvey/Questionnaire No

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tamecia R. Jones, North Carolina State University at Raleigh; Leah Bug, North Carolina State University at Raleigh

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

identities, epistemologies and values. Volume 2 : engineering education and practice in context. Cham, Switzerland ; Heidelberg, Germany : Springer International Publishing, 2015.[29] Y.-h. Liu, S.-j. Lou, and R.-c. Shih, "The investigation of STEM self-efficacy and professional commitment to engineering among female high school students," South African Journal of Education, vol. 34, no. 2, pp. 1-15, 2014.[30] D. Kiran and S. Sungur, "Middle School Students' Science Self-Efficacy and Its Sources: Examination of Gender Difference," Journal of Science Education and Technology, vol. 21, no. 5, pp. 619-630, 2012, doi: 10.1007/s.[31] T. P. Robinson, "THE DEVELOPMENT OF AN INSTRUMENT TO MEASURE THE SELF

Conference Session

Women in Engineering Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jennifer Blue, Miami University; Amy Summerville, Miami University; Brian P. Kirkmeyer, Miami University; Brielle Nikole Johnson

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

mindset, self-efficacy,and on the regrets that they may feel after they take their first exam. These measures of self-perception often have enough of an effect on students that they affect student performance andpersistence in a major and, sometimes, in a career.A. Mindset People can have either fixed or growth mindsets. Someone with a fixed mindset believesthat intelligence is both stable and uncontrollable, while someone with a growth mindsetbelieves that intelligence can improve [3]. Students with fixed mindsets may interpret one lowexam grade as evidence that they are not smart enough to learn the material in a course, whilethose with growth mindsets are more likely to keep trying to learn. Consequently, people with1 Miami

Collection

2014 ASEE Zone 1 Conference

Authors

Mohammadjafar Esmaeili; Ali Eydgahi

. In order to test this satisfaction of students in project-based classes, there is notrelationship this study utilizes TAM as a core model to assess the enough evidence to show any attitude changes toward STEMeffect of active learning based classes on students’ intention and course.attitude toward STEM course. Moreover, this study hasexamined the effects of external factors such as social influences,and internal factors such as anxiety and self-efficacy toward This study is attempting to examine the relationship betweenSTEM courses. active learning methodology that has been introduced in one of

Conference Session

NSF Grantees Poster Session

Collection

2005 Annual Conference

Authors

John Dantzler; James Richardson; Tan-Yu Lee; Robert Leland

mouse and determining its resolution (smallest detectablemotion), determining the weight of the bar on a see-saw using only measurements of distanceand peoples’ weights, determining the surface area of a soda can. Students also solved extendedproblems for a floppy disk drive and robot arm for which they saw the actual hardware involved.Despite the focus on pre-calculus mathematics, the course was not remedial, and the problemsaddressed were more difficult than those in a standard pre-calculus math class. Uri Treisman atBerkeley pioneered this approach of using hard problems, with good results20. A survey of MITgraduates listed one of the three main things they learned as undergraduates was to not be afraidof hard problems (self-efficacy

Conference Session

Teaching and Assessment in Chemical Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Matthew Cooper, North Carolina State University; Lisa G. Bullard, North Carolina State University; Christopher C. Willis, North Carolina State University - DELTA; Dan Spencer, North Carolina State University

Tagged Divisions

Chemical Engineering

refers to interest developed during a course that with maintained engagement in a task, endures beyond the particular situation (e.g., increased self-efficacy and self- lecture or module). regulation [12]. Measurement Description: Two scales from Inclusion in Study: We felt it necessary Harackiewicz et al. [11] were used to measure to see if the course develops (and initial interest and maintained interest. The maintains) interest in the subject area. measure of initial interest included seven items adapted to specifically refer to the chemical engineering prior to students engaging in

Conference Session

Assessment of Entrepreneurship Programs

Collection

2003 Annual Conference

Authors

Sarah Rzasa; John Wise; Elizabeth Kisenwether

: Tendencies orattributes possessed by the individual entrepreneur and knowledge or skills consideredimportant to entrepreneurial success. Page 8.238.1 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationIn order to begin to answer the assessment questions, we developed a list of attributesand knowledge that would be measurable and support the original goals of theprogram. The student outcomes, both cognitive and affective, are listed in Table 1.Attribute/TendencyEntrepreneurship Self-Efficacy

Collection

2020 First-Year Engineering Experience

Authors

Joie Marhefka, Penn State New Kensington; Dalynn D Park, Penn State New Kensington; Laura E Cruz, Penn State

, connection,integration, literacy, and recommendation. It should be noted that not all outcomes applied to allassignments. Formative assessment questions were offered periodically across the semester.Following each problem-based assignment, students were asked to answer two questions thatpertained to knowledge of the topic, their understanding of the topic in relation to future career,and their ability to assess themselves. These qualitative data were coded using a structuredcoding method based on the five desired learning outcomes (listed above).IV. FindingsWe chose the widely-used career decision self-efficacy scale to measure gains in career literacy,motivation, awareness, and (perceived) skills [27], [28]. Based on the learner self

Conference Session

Action on Diversity - Disability Experiences & Empathy

Collection

2017 ASEE Annual Conference & Exposition

Authors

Yvette Pearson Weatherton, Rice University; Renae Danielle Mayes, Ball State University; Carol Villanueva-Perez, Ball State University

Tagged Topics

ASEE Diversity Committee, Diversity

mathematics (STEM) disciplines, and engineering inparticular. These include systemic as well as personal barriers.An institution’s culture and climate are among several systemic barriers that exist to impedesuccessful matriculation of students with disabilities, particularly in engineering. Researchershave found engineering and law faculty members “were significantly less willing to provideaccommodations” than their counterparts in other academic units. Reluctance and negativeattitudes serve to foster environments that are counter to diversity and inclusion.Studies have shown that incorrect estimates of self-efficacy are among personal barriers thathinder student success. Some students with disabilities tend to have lower academic self-efficacy than

Conference Session

Design Methodologies 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jenn Campbell, University of Virginia; Leidy Klotz, University of Virginia

Tagged Divisions

Design in Engineering Education

that expectations of success will be impacted mainly by factors contributing to astudent’s self-efficacy and outcome expectations. Sense of belonging will most directly impactexpectations of success, but the tenets of improv and psychological safety are also expected toindirectly influence a student’s expectations of success.Expectations of success will be measured using two questions about success beliefs [56]. Sincethis outcome is more distal, we anticipate smaller effect sizes than those for the more proximaloutcomes of psychological safety and sense of belonging. However, we still expect to seesomewhat higher expectations of success for students on teams in the improv training conditionthan in the other two conditions.3.3.4 Intent to

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary E. Lockhart, Texas A&M University; Noor Hakim; Vainavi Chilukuri, Texas A&M University; Jason Champagne; Karen E. Rambo-Hernandez, Texas A&M University; Robin A.M. Hensel, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

investigated. Demographic information for thetotal analytic sample is as follows: 76% self-identified as men, 95% White, 50% were onEngineering Track 1, 30% were on Engineering Track 2, and 20% were on Engineering Track 3.Measures Engineering Self-Efficacy. Students’ confidence in their ability to complete necessarysteps for obtaining their engineering degree was measured using a three-item instrumentdeveloped by Lent and colleagues [45]. The items were rated on a 5-point Likert scale (1-noconfidence to 5-complete confidence) where participants indicated their level of confidence intheir ability to complete each step necessary to obtain their engineering degree. Engineeringself-efficacy scale scores were derived as the average of all items

Conference Session

Research Initiatives

Collection

2013 ASEE Annual Conference & Exposition

Authors

Helena Isabel Scutt, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University; Samantha Ruth Brunhaver, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

underrepresentation problem in STEM. In total, this paper cites 21 journalarticles or books from 10 different journals. For each journal article cited, approximately four Page 23.1042.4  others were reviewed but not cited. Those were excluded because they were not immediatelyrelevant to the seven key practices or they were not published within the last twelve years.Table 1 summarizes three core constructs that this body of work focuses on: identity, self-concept, and self-efficacy. These constructs are measures of a sense of belonging, enjoyment,and/or competency, and have been found to play a highly influential role in men’s and women’sachievement and

Conference Session

Electrical and Computer Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Wesley G. Lawson, University of Maryland College Park; Jennifer L. Kouo, Towson University

Tagged Divisions

Electrical and Computer

trouble-shooting circuits and answering procedural questions. Table VIII. Survey Prompts regarding the students’ self-efficacy Fall Fall Summer Onsite Online Online 1 I feel that I know how to use the test and measurement equipment competently. 0.93 0.54 0.88 2 I am good at designing electric circuits. 0.47 0.23 0.63 3 I am good at simulating electric circuits. 0.07 0.46 0.88 4 I am good at building and testing electric circuits. 0.73 0.54 0.63 5 I am good at debugging

Conference Session

Information and Network Security

Collection

2014 ASEE Annual Conference & Exposition

Authors

Richard Scott Bell, Kansas State University; Eugene Y. Vasserman, Kansas State University; Eleanor C. Sayre, Kansas State University

Tagged Divisions

Computing & Information Technology

studentcharacteristics that have been shown to lead towards success in the classroom and influencestudent career selection. These characteristics include self-efficacy in relation to cybersecurity,student interest in further coursework, and research or jobs that involve cybersecurityconcepts 3,12 . By interviewing students enrolled in a cybersecurity course, at multiple pointsduring the semester, we are able to identify student interests and perceptions of cybersecurity anddocument changes in student self-efficacy and interest that occur as the semester progresses.Furthermore, we identify pedagogical practices which students found most useful through thissemester-long investigation. The results from this study will be used to construct a Likert-typescale survey

Conference Session

The Influence of Cooperative Education

Collection

2010 Annual Conference & Exposition

Authors

Alexander Yin, Pennsylvania State University

Tagged Divisions

Cooperative & Experiential Education

manipulation of information isgoal-directed. The ease of this process is dependent on the engineer’s level of expertise incontent knowledge (declarative knowledge) and procedural knowledge (i.e., she knows when touse a particular algorithm, formula or process) (d and e). Evaluation of the process andjudgments of alternative outcomes (i) may be influenced by the engineer’s personal skills andbias on whether the project is a success or not (i.e., maybe the bridge met the functionalspecifications but failed from an aesthetic perspective).Self-Perception of Problem-Solving Skills Bandura's self-efficacy theory postulates that an individual’s confidence rises when hehas mastered a skill through experiencexx. Self-efficacy studies in STEM fields