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Displaying results 241 - 270 of 1360 in total
Conference Session
Concurrent Paper Tracks - Session I
Collection
2015 ASEE International Forum
Authors
Monica Gray P.E., The Lincoln University - College of Science & Technology; Constance Loretta Lundy
Tagged Topics
Diversity, International Forum
in a real situation or problem that needs tobe addressed and solved,…”.Mourtos8 offered the following link between the learning framework and Student Outcome 3(i)"a recognition of the need for (affective - organization), and an ability to engage in lifelonglearning (cognitive - analysis)". Thus, the potential lifelong learner must at some point in theiracademic career develop value for information that pertains his or her discipline and has a strongenough sense of self-efficacy to be intrinsically motivation to independently learn.Concomitantly, in exploring his or her discipline, the student will face new, ill-defined andchallenging tasks which require concerted, systematic and extended efforts in order to succeedand subsequently graduate
Conference Session
Faculty Development Division (FDD) Poster Session
Collection
2023 ASEE Annual Conference & Exposition
Authors
Rachel Ziminski, University of Massachusetts Lowell; Yanfen Li, University of Massachusetts Lowell
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division (FDD)
barriers facultyexperience in providing encouragement to students. Additionally, the creation and validation of atool to measure faculty perceptions of providing encouragement can be used by institutions toidentify critical areas to strengthen how we teach in engineering.Guiding FrameworkAn extensive literature review showed the Academic Encouragement Scale (AES) and theFaculty Encouragement Scale (FES) as the best instruments to guide this research [20, 21]. Bothmeasure students’ perceptions of receiving encouragement in academic settings. Findings fromboth studies indicate that receiving encouragement increases students’ self-efficacy and outcomeexpectations.The Social Cognitive Career Theory (SCCT) guided the development of the survey
Conference Session
Women in Engineering Division Technical Session 5
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jennifer A Gatz, Stony Brook University ; Angela M Kelly, Stony Brook University; Monica Bugallo, Stony Brook University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
be measured in terms of gradeperformance and intellectual development during the college years [22]. While ability has beenpositively associated with college persistence, commitment to the goal of completion is the mostinfluential factor in determining persistence [22]. A feeling of success and congruence in theacademic environment may lead to increased motivation to study, which may lead to betterperformance, increased academic self-efficacy, and institutional commitment [23]. Learningcommunities are a way to combine academic and social aspects of an institution to help increaseacademic performance and retention, particularly in the transition from high school to college[24]. Learning communities that include mentoring encourage personal
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Melanie B Butler, Mount St. Mary's University; Rosina Bolen; DINA YAGODICH, Frederick Community College; Aubrey Allen Smith, Montgomery College; Christine McCauslin; Isaac N Mills, Mount Saint Mary College; Jeffrey Simmons; Kraig E Sheetz
Tagged Topics
Diversity, NSF Grantees Poster Session
Asian Black White Agree Agree Agree Agree Self-Efficacy I am confident that I will be 4.7 ± 0.7 4.7 ± 0.6 4.6 ± 0.7 4.5 ± 0.9 4.7 ± 0.6 4.8 ± 0.6 4.7 ± 0.5 4.7 ± 0.7 able to transfer to a 4-year institution. Self-Efficacy I am aware of the 3.9 ± 1.1 3.9 ± 1.1 3.9 ± 1.2 3.7 ± 1.2 3.9 ± 1.1 4.0 ± 1.0 4.1 ± 1.0 3.5 ± 1.3 procedures involved in transferring to a 4-year institution. Self-Efficacy I know how I can get more 4.2 ± 1.0 4.2 ± 1.0 4.2 ± 1.0 4.1
Conference Session
CoNECD Session : Day 2 Slot 6 Technical Session 2
Collection
2021 CoNECD
Authors
Ekundayo Shittu, George Washington University; Jennifer Dashiell-Shoffner, North Carolina A&T State University; Hyung Nam Kim, North Carolina A&T State University
Tagged Topics
CoNECD Paper Submissions, Diversity
constructs in the population. The constructs are all positively correlated, withmagnitude of correlation corresponding to the size of the bubble. This is shown by the checkedbubbles intersecting any two pairs of measures in Figure 2. It is evident that Anticipatory Cognitionis correlated and significant to several of the measures, but lacks significance against stereotypethreat, isolation, extant knowledge and future anticipation. For example, the weaker theparticipants infer the stereotype threat, the higher is their attention and focus to solving theirresearch problem. It is also evident from this Figure that Academic Self Efficacy is predominantlycorrelated
Conference Session
Minorities in Engineering Division Technical Session 4
Collection
2019 ASEE Annual Conference & Exposition
Authors
Nicole M. Colston, Oklahoma State University; Sherri L. Turner, University of Minnesota, Twin Cities; Gale Mason Chagil, Culture Inquiry Consulting, LLC; Sue C. Jacobs Ph.D., Oklahoma State University; Sarah Johnson, Oklahoma State University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
activities” (CareerExploration Skills).The SCDI has been used in studies of adolescent, college student, and post-high school youngadult career development [e.g., 27, 28, 29], including studies of the career development of NativeAmerican young people. Career exploration, as measured by the SCDI, has been positivelyrelated to interests and efficacy among Native American young people [30].The Career-Related Parent Support Scale [31] is a 27-item instrument that was used to measurestudents’ self-reports of their parents’ support in the four areas of self-efficacy information(Instrumental Assistance (IA), Career-Related Role Modeling (CM), Emotional Support (ES),and Verbal Encouragement (VE)) identified by Bandura [32]. IA is the tangible help provided
Conference Session
NSF Grantees’ Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Ashley Guy, University of Texas at Arlington; Alan Bowling, University of Texas at Arlington; Panayiotis S. Shiakolas, University of Texas, Arlington
Tagged Topics
Diversity, NSF Grantees Poster Session
large gains over pre-vious curricula 39 . Jara found that students in Automatics and Robotics at the Universityof Alicante significantly improved their efficacy and performance following a “learning bydoing” approach using a remote robotic laboratory called RobUALab 42 . Cannon positivelyreviewed a University of Minnesota robotics day camp for middle school youth designed toinspire minorities and women to pursue careers in STEM through hands-on learning 24 . Thiswork aims to provide additional support for these findings. This work is based on the hypothesis that in addition to engagement, the proposed ap-proach will also positively affect students’ academic success by boosting self-efficacy, theperceived ability to complete a task and reach
Conference Session
Outreach and Beyond in the Chemical Engineering Classroom
Collection
2019 ASEE Annual Conference & Exposition
Authors
Byron Hempel, University of Arizona; Paul Blowers, University of Arizona; Kasi M. Kiehlbaugh, University of Arizona
Tagged Topics
Diversity
Tagged Divisions
Chemical Engineering
co-teaching, classroom technologies, active learning in the classroom, and various classroom-based affective inter- ventions targeted at fostering self-efficacy, belongingness, metacognitive learning strategies, and growth mindset affect outcomes such as student retention and success, particularly during the freshman and sophomore year. Her field of research is undergraduate engineering education. Dr. Kiehlbaugh com- pleted her BS and MS at the University of Arizona and her PhD at UC Berkeley. She is now a Research Assistant Professor in the College of Engineering at her undergraduate alma mater. c American Society for Engineering Education, 2019 1 Scalable and Practical
Conference Session
Engineering Economy Division Technical Session 1
Collection
2016 ASEE Annual Conference & Exposition
Authors
K. Jo Min, Iowa State University; John Jackman, Iowa State University; Michelle Zugg, Iowa State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Economy
, 1995, Generalized Self-Efficacy Scale. In J. Weinman, S. Wright, and M.Johnston, Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35-37). Windsor, UK:NFER-NELSON.10 Cohen J., 1988, Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Lawrence Earlbaum Associates,New Jersey.11 Shi, W. and K. J. Min, 2014, “Product Remanufacturing: A Real Options Approach,” IEEE Transactions onEngineering Management, Vol. 61, pp. 237-250, 2014.12 Shi, W. and K. J. Min, 2014, “Product Remanufacturing and Replacement Decisions Under Operations andMaintenance Cost Uncertainties,” The Engineering Economist – Special Issue on Engineering Economics inReliability, Replacement and Maintenance, Part 1, Vol. 59
Conference Session
Women in Engineering Division Technical Session - Understanding and Changing Engineering Culture
Collection
2016 ASEE Annual Conference & Exposition
Authors
Mary E Fitzpatrick, University of Wisconsin Madison College of Engineering; Manuela Romero, University of Wisconsin, Madison; Jennifer Sheridan, University of Wisconsin, Madison
Tagged Topics
ASEE Diversity Committee, Diversity
Tagged Divisions
Women in Engineering
, 2016Changes in Undergraduate Engineering College Climate and Predictorsof Major Commitment: Results from Climate Studies in 2008 and 2015Abstract This paper presents results of two cross-sectional investigations of educational andinterpersonal climate in a college of engineering at a large mid-western university. In 2008 andin 2015 we deployed a survey ("Project to Assess Climate in Engineering”) to undergraduateengineering students. In each survey year, just over 1000 eligible students participated andresponded to items contributing to scales rating their professors, teaching assistants, collegeresources, confidence (self-efficacy) in engineering, student interactions, perceptions ofengineering, and commitment to an engineering major
Conference Session
Engineering Design Graphics Division Technical Session 4: A Potpourri of Ideas
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Daniel P. Kelly, Texas Tech University; Jeremy V. Ernst, Embry-Riddle Aeronautical University; Aaron C. Clark, North Carolina State University at Raleigh; Erik Schettig, North Carolina State University at Raleigh
Tagged Topics
Diversity
Tagged Divisions
Engineering Design Graphics
, including student scoreon the pretest three-dimensional modeling self-efficacy (3DSE) assessment, gender, age, andwhether or not the student had a parent with professional engineering backgrounds. The three-dimensional self-efficacy instrument consisted of nine questions, each being a 7-point Likerttype item, designed to measure students’ self-efficacy related to modeling three-dimensionalobjects [11]. Logistic regression could not identify for which subgroups of students the variableswere most significant. For these reasons, machine learning analytics software was used toexamine the predictors, and their interactions, that led to persistence in engineering degreeprograms. Machine learning has gained popularity over recent years due to its ability
Conference Session
Developing Teaching and Mentoring Skills
Collection
2018 ASEE Annual Conference & Exposition
Authors
Hyun Hannah Choi, University of Illinois, Urbana-Champaign; Yuting W. Chen, University of Illinois at Urbana-Champaign; A. Mattox Beckman Jr., University of Illinois, Urbana-Champaign; Lucas Anderson, University of Illinois at Urbana-Champaign; Blake Everett Johnson, University of Illinois, Urbana-Champaign; Matthew D. Goodman, University of Illinois, Urbana-Champaign; Chris Migotsky, University of Illinois; Nicole Johnson-Glauch
Tagged Topics
Diversity
Tagged Divisions
Graduate Studies
join our GTA training.Program EvaluationAligned with the goals of the program to improve teaching ability and based on the assumptionthat students may not see the connection between teaching and transferable professional skills,this program evaluation was designed to: 1) measure changes in students’ perceptions of theirconfidence in teaching and 2) estimate changes in students’ viewpoints toward teaching as anopportunity to enhance transferable professional skills. To these ends, we administered twosurveys before and after the course: the STEM GTA Teaching Self-Efficacy Scale 5 and a modifiedskills perception inventory. 6 This section discusses the demographics of the students whoparticipated in this evaluation and their responses to the
Conference Session
STEM Issues
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Laura Kasson Fiss, Michigan Technological University; John L. Irwin, Michigan Technological University; Sarah Tan, Michigan Technological University
Tagged Topics
Diversity
Tagged Divisions
Engineering Technology
, extrinsic goal orientation, task value, control of learning beliefs, self-efficacy forlearning and performance, critical thinking, and metacognitive self-regulation; 2) the Change-Readiness Assessment [10] which assess 7 subscales, including adventurousness, confidence,adaptability, drive, optimism, resourcefulness, and tolerance for ambiguity; 3) PersistenceMeasures [11] which measures 3 responses including graduate study, career, and intent to changemajor; and 4) the Longitudinal Assessment in Engineering Self-Efficacy [12] which providesresults in six subscales, including self-efficacy, sense of belonging, and career expectations. Allof the questions are related to the course and/or learning environment. These questionnairesemploy 7-point Likert
Conference Session
NSF Grantees Poster Session I
Collection
2016 ASEE Annual Conference & Exposition
Authors
Kimberly Grau Talley P.E., Texas State University, San Marcos; Araceli Martinez Ortiz, Texas State University, San Marcos; Clara Novoa, Texas State University, San Marcos; Vedaraman Sriraman, Texas State University, San Marcos
Tagged Topics
Diversity, NSF Grantees Poster Session
. Instead, the researchers are customizing a University Seminar (US 1100) section, whichis an introduction to the university freshman seminar course, specifically for engineering andengineering technology majors while exploring research questions related to the development ofstudent design self-efficacy. This paper presents this work in progress including preliminaryresults from pre- and post-project engineering design self-efficacy measures of the initial cohort,lessons learned, and plans for future work.BackgroundThe Texas State STEM Rising Stars project is using a three-sided organizing framework, asshown in Figure 1, to guide the interventions and its associated research plan. This framework isbased upon Swail’s geometric model for student
Conference Session
Women in Engineering Division: Curricular Programs
Collection
2015 ASEE Annual Conference & Exposition
Authors
Jenahvive K. Morgan, Rowan University; Mario J. Leone, Rowan University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
sensing.” Journal of NeuroEngineering and Rehabilitation. 2(4), 1-7.8. Berzowska J. (2005). “Electronic Textiles: Wearable Computers, Reactive Fashion, and Soft Computation.” Textile. 3(1), 2-19.9. Lam Po Tang, S. (2007). “Recent developments in flexible wearable electronics for monitoring applications.” Transactions of the Institute of Measurement and Control, 29 (3-4), 283-300.10. Raelin, J. A., Bailey, M. B., Hamann, J., Pendleton, L. K., Raelin, J. D., Reisberg, R., and Whitman, D. (2011). “The Effect of Cooperative Education on Change in Self-Efficacy among Undergraduate Students: Introducing Work Self-Efficacy.” Journal of Cooperative Education and Internships. 45(2), 17-35.11. Chubin, D. E., May, G. S., and
Conference Session
ENT Division Technical Session: Creativity and Innovation
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Sunni Haag Newton, Georgia Institute of Technology; Roxanne A. Moore, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Timothy Cone, Center for Education Integrating Science, Mathematics and Computing
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
associated with a variety of student outcomes. Additionally, modified versionsof previously validated instruments were used to measure teachers’ motivation for participatingin the K12 InVenture Prize program [15] and teachers’ self-efficacy for teaching engineering andentrepreneurship [16]. Participants A total of six teachers from our focal region began the survey. Of these, two discontinuedthe survey during the demographics and teaching background sections; a total of fourrespondents completed the survey. All four teachers who completed the survey are women, andall four teachers are White. For all four teachers, the 2018-2019 school year was their first yearimplementing the K12 InVenture Prize program. Two teachers implemented in a
Conference Session
Motivation, Identity, and Belongingness
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jonathan D. Stolk, Franklin W. Olin College of Engineering; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Michael D. Gross, Wake Forest University
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
/perceived confidenceand interest/values in STEM has progressed over the past two decades, studies of students’motivational orientations (intrinsic versus extrinsic) in STEM are quite limited.Perceived confidence and self-efficacy strongly influence academic motivations [44] and serveas mediators of learning engagement and persistence [8]. As such, STEM educators areconcerned with how learners cultivate a strong sense of efficacy and expectations of success.Indeed, measurement of self-efficacy and perceived competence represents an area of notableprogress in STEM education research. Gendered patterns in learners’ perceived competence andself-efficacy within gender-role stereotyped domains such as mathematics and engineering arewidely reported [45
Conference Session
Project-Based and Experiential Learning in Manufacturing
Collection
2024 ASEE Annual Conference & Exposition
Authors
Akbar M. Eslami, Elizabeth City State University; Kuldeep S Rawat, Elizabeth City State University; Chandra Bhushan Asthana P.E., Elizabeth City State University; Scott Bradshaw, Elizabeth City State University
Tagged Topics
Diversity
Tagged Divisions
Manufacturing Division (MFG)
preparedness10. Workshop(s) on product commerciali- 1 2 - 2 3 4 2zation Table1: Ratings of the overall summer bridge experienceStudent self-efficacy was assessed using the Engineering Skills Self-Efficacy Scale [6]. The scalewas developed to assess the different dimensions of self-efficacy for undergraduate studentsacross various engineering-related disciplines. The measure reports three sub-scales:Experimental Skills, Tinkering Skills, and Design Skills. To assess the effectiveness of theadditive manufacturing project-based experiences, the project evaluator wrote four itemsmodeled on the existing items on the Engineering Skills Self-Efficacy Sub-Scales
Collection
ASEE Middle Atlantic 2022 Fall Conference
Authors
Stephanie Zegers, Elizabethtown College ; Sara A. Atwood, Elizabethtown College
Tagged Topics
Diversity
environment as an intern/co-op”(Atwood et.al, 2021). However, only 41.5% of historically marginalized populations completedan internship (Atwood et.al, 2021) by graduation. Similarly, only 47.6% of first-generationstudents completed an internship (Atwood et.al, 2021). Lack of internship or co-op can lead tounderemployment and significantly less lifetime earnings. Lack of internship also could beattributed to the student’s lack of social capital. According to NACE, first-generation studentsreceive lower salary offers compared to their continuing-generation counterparts (Eismann,2016). Additionally, self-efficacy is crucial for the individual’s ability to complete a task(Huang, 2003).MethodsHaving explicit instruction around communication skills
Conference Session
CoNECD Session : Day 2 Slot 3 Technical Session 3
Collection
2021 CoNECD
Authors
Mary E. Fitzpatrick, University of Wisconsin - Madison; Manuela Romero, University of Wisconsin - Madison; James A. Yonker
Tagged Topics
CoNECD Paper Submissions, Diversity
specified). In addition, we assessed social cognitive variables related to educationaland career decision making, including engineering self-efficacy, expectations for the field ofengineering, commitment to major and degree completion. In 2019, students were asked if theyidentified as a member of the LGBTQ+ community, allowing for a better understanding of thesestudents’ experiences. Data from all three survey years were combined to investigate trends oncritical measures related to persistence in engineering. We found that students’ assessment of theeducational environment (professors and student interactions) were relatively stable, while otheraspects of the environment (experiences of stereotyping and harassment) significantly increasedacross the
Conference Session
DEED Postcard Session 2 and Presentation of Student Essay Competition Winners
Collection
2017 ASEE Annual Conference & Exposition
Authors
Austin Talley P.E., Texas State University, San Marcos; Kimberly Grau Talley P.E., Texas State University
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
other courses includingvideo content and be less resistant to this form of instruction.To get insight into the effects of the courses focus on learning and applying design theory, aninstrument was used to measure participant engineering design self-efficacy. The instrumentwas designed and validated by Carberry et al [20]. The tool measures individual’s self-efficacytowards engineering design tasks. Self-efficacy is an individual’s belief in their ability tocomplete a specific task [21]. This instrument examines four aspects of an individual’s self-efficacy: 1) Confidence, 2) Motivation, 3) Expectation of Success and 4) Anxiety towardscompleting engineering design [20]. The instrument was administered at the beginning and endof the Hybrid2
Conference Session
Women in Engineering Division Technical Session 4
Collection
2018 ASEE Annual Conference & Exposition
Authors
Angela M Kelly, Stony Brook University; Doreen Aveni, Stony Brook University; Monica Bugallo, Stony Brook University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
uniqueresearch experiences must be identified for 100 students in laboratories across campus.Furthermore, the arrangement of internships depends upon strengthening and expanding thenetwork of regional industries, companies, and health services organizations. This requiresconsiderable work, however, our extensive faculty network and alumni have been supportive inproviding resources and opportunities for current WISE students.Preliminary FindingsTo measure the effectiveness of the new WISE curriculum in meeting its goals, incomingfreshmen (N = 58) were surveyed at the end of the fall semester in 2017. Baseline data werecollected to explore the following research question: How does participation in the WISEcurriculum impact students’ self-efficacy, career
Conference Session
NSF Grantees Poster Session
Collection
2017 ASEE Annual Conference & Exposition
Authors
Xia Wang, Oakland University; Anica Gwenell Bowe, Oakland University; Brian K Dean, Oakland University; Chris J Kobus, Oakland University; Mark R. Olson, Oakland University
Tagged Topics
Diversity, NSF Grantees Poster Session
). After the completion of the summer program, teachers completed a post-survey (n =7-8 ) ontheir self-efficacy for teaching engineering during the Fall to measure any perceived changes inbeliefs as a result of the summer program. The results of the pre-post survey are found in Table3.Table 3: Teachers reported self-efficacies in teaching engineering pre-post summerprogram. Strongly Moderately Slightly Slightly Moderately Strongly   Disagree Disagree Disagree Agree Agree Agree  1. I can discuss PRE  how given 20% 10% 20% 0% 40% 10% N=10
Conference Session
Entrepreneurship and Innovation: Beyond the University
Collection
2017 ASEE Annual Conference & Exposition
Authors
Jidong Huang, California State University, Fullerton; John B Jackson, California State University, Fullerton; Pradeep Nair, California State University, Fullerton; Amy Cox-Petersen, California State University, Fullerton
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
evaluation instruments were built from psychometrically sound instrumentsand scales that include the Career Interest Questionnaire and Modified STEM Semantics Survey(Tyler-Wood et al., 2010), Entrepreneurial Self-Efficacy and Intention (Wilson et al., 2007),Student Attitudes toward STEM Survey (Mahoney, 2010); STEM Semantics Survey (Tyler-Wood et al., 2010), Sources of Self-Efficacy Scale (Britner & Pajares, 2006), and a 21st CenturySkills Assessment/Rubric. Specifically, the process evaluation was designed to measure both quality and intensity ofSTEM-Inc activities in order to monitor the short-term and formative results of activities andservices, validate program components, and determine whether activities were of sufficientquality and
Conference Session
Evidence-based Practices in Faculty Development
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Sarah Ilkhanipour Rooney, University of Delaware; Joshua A. Enszer, University of Delaware; Julia A. Maresca, University of Delaware; S. Ismat Shah, University of Delaware; Sheldon Allister Hewlett, University of Delaware; Jenni M. Buckley, University of Delaware
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division
no effect on faculty members’ self-efficacy related toculturally responsive classroom management (CRCMSE) and engineering pedagogy (TESS).Faculty reported moderately high self-confidence on all CRCMSE measures (range: 2.06-2.50 on0-3 pt Likert), and there were no statistically significant gains in these measures from pre- topost-workshop. Similarly, faculty also had moderately high self-confidence on TESS measures(range: 3.33-4.72 on 0-5 pt Likert); and pre- vs. post-workshop gains were reported for two of 15survey items. Specifically, faculty reported gains in confidence related to their ability to guidestudents in the engineering design process or scientific method (d=1.15, p=0.009, n=18) and self-confidence in encouraging critical
Conference Session
Engineering and Engineering Technology Transfer and the Two-Year College Student Part 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Doris J. Espiritu, City Colleges of Chicago-Wilbur Wright College; Ruzica Todorovic, City Colleges of Chicago-Wilbur Wright College; Bridget O'Connell, City Colleges of Chicago-Wilbur Wright College
Tagged Topics
Diversity
Tagged Divisions
Two-Year College Division (TYCD)
attended the Bridge remotely, still found the experiencetransformational. In a case study interview conducted by Ruxton Consulting, one student attributedtheir success to the Bridge saying, “I really think I wouldn't be here. I wouldn't be studyingengineering without the creation of the Bridge program.” (Ruxton Consulting Evaluation Reportpresented to the PI, 2022).Students also reflected on how their effort, within the structure of the Bridge, contributed to theirimproved self-efficacy in math. As one student shared, “It's not a test of your finances, or yourbrains. It's a test of how hard you can work, and I think that's a great factor to measure someoneby.” Another student acknowledged how much work was ultimately needed in order to be readyfor
Conference Session
Engineering Cultures and Identity
Collection
2016 ASEE Annual Conference & Exposition
Authors
Anita Patrick, University of Texas, Austin; Maura Borrego, University of Texas, Austin
Tagged Topics
ASEE Diversity Committee, Diversity
Tagged Divisions
Educational Research and Methods
isevident and supported by Table 2. Despite this lack of coherence, these studies have beenimportant first steps in exploring specific aspects of identity development in engineering. Closely related to identity but not explicitly stated, others have provided a review andanalysis of existing research on the measurement of the characteristics of engineering students inorder to illuminate factors that affect college enrollment and retention.12 The authors, Li,Swaminathan, and Tang, found that many researchers are specifically looking at the factors thathelp or hinder the matriculation of underrepresented groups into engineering. Marra, Rodgers,Shen, and Bogue conducted a multi-institution study on self-efficacy and women engineeringstudents.36
Conference Session
Pre-College: Perceptions and Attitudes on the Pathway to Engineering (3)
Collection
2017 ASEE Annual Conference & Exposition
Authors
Araceli Martinez Ortiz, Texas State University, San Marcos; Laura Rodriguez Amaya, Texas State University; Hiroko Kawaguchi Warshauer, Texas State University; Sara Garcia Torres M.Ed., Texas State University, San Marcos; Erin Scanlon, Texas State University; Michelle Pruett, Texas State University
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education Division
engineering careers and on developing theircontent knowledge in select grade-appropriate science and mathematics content areas. Pre-posttesting was conducted with sixty-five students of diverse backgrounds in grades six through eightto measure their self-reported engineering-related self-efficacy, knowledge of engineering careers,and motivation to pursue future engineering classes and careers. In addition, interviews wereconducted to examine any changes in middle school camp participants’ affective characteristics ofmotivation, self-efficacy, and self-determination.Introduction The attraction and retention of students in science, technology, engineering, andmathematics (STEM) disciplines along the full length of their education is a national
Conference Session
Graduate Studies Division Technical Session 3
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Chi-Ning Chang, The University of Kansas; Guan Kung Saw, Claremont Graduate University; Uriel Lomelí-Carrillo, The University of Texas at San Antonio; Mingxia Zhi, Northside Independent School District; Kahlí Romano, Claremont Graduate University ; Ryan Culbertson, The University of Texas at San Antonio
Tagged Topics
Diversity
Tagged Divisions
Graduate Studies
, to estimate the expected total numberof delayed months, including: 1-3 months, 4-6 months, 7-9 months, 10-12 months, and morethan one year. In terms of the career outcome, we evaluated students’ job search self-efficacy byasking three questions [25]: “Since the COVID-19 outbreak occurred, how confident have youbecome in finding (1) the job for which you are qualified? (2) a job in a company/institution thatyou prefer? (3) the job for which you are prepared?” The 5-point Likert scale was from -2 (muchless confident) to 2 (much more confident). The Cronbach’s alpha for these three job search self-efficacy items is .906. The measure for mental health outcome, which focused on symptoms ofdepression and anxiety, asked students if in the last 7
Conference Session
Entrepreneurship and Innovation: Beyond the University
Collection
2017 ASEE Annual Conference & Exposition
Authors
Roxanne Moore, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Sunni Haag Newton, Georgia Institute of Technology; Anna Newsome Holcomb, Georgia Institute of Technology, CEISMC
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
state finals in Spring, 2016. Allteachers were invited to participate. Components of this survey relevant for the current workinclude demographics, information about teachers’ backgrounds, and also several constructs:self-efficacy for teaching engineering, self-efficacy for teaching entrepreneurship, and teacherperceptions of the program’s effects on students. Some of these constructs were assessed throughvalidated instruments, while others were measured with internally developed items. Teaching Engineering Self-Efficacy Scale Self-efficacy for teaching engineering was measured with the Teaching Engineering Self-Efficacy Scale (TESS), which was developed and validated by Yoon Yoon et al., 201411. Theseauthors “define teaching