Conference Session

Women in Engineering Division Technical Session 7

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Beth McGinnis-Cavanaugh, Springfield Technical Community College; Isabel Huff, Springfield Technical Community College

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

measured whether the event affected their STEM self-efficacy, sense of belonging, andcareer goals, among other things. Another event funded by this partnership with SWE isscheduled to take place in Fall 2021, which will lead to additional data collection and analysis.Challenges and Lessons LearnedPVWIS is a promising approach to improving access for community college women in STEM.By showcasing the stories of women “like them”; connecting them directly to employers,mentors, and other students; and giving them a space in which to be recognized and elevated inthe STEM community, PVWIS addresses often ignored obstacles for community college womenin STEM.PVWIS is likely to positively impact other students, too. It is a common belief in the world

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Zahraa Krayem Stuart, Stony Brook University; Monica Bugallo, Stony Brook University; Kathleen Dinota, Stony Brook University; Hechuan Wang, Stony Brook University; Amanda Esposito, Stony Brook University

Tagged Topics

NSF Grantees Poster Session

and qualitative data were collected throughout the sessions (N=90) to measure impact.Participants were administered pre- and post-questionnaires at every session. The set of pre- and post-questionswere exactly the same and used to assess participants’ engineering knowledge and interest. At the end of theAcademy, participants were sent via an email a post-experience survey to evaluate their engineering self-efficacy related to their interest in engineering majors and careers and their comprehension of engineeringconcepts explained during the Academy. The survey was created and validated by engineering faculty.Pre and post multiple-choice questions administered throughout the Academy included: 1. What does the term ‘dimensions’ mean when

Conference Session

First-year Programs Division Postcard Session 2: Identity and Sense of Belonging

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peter Golding, University of Texas, El Paso; Celena Arreola, University of Texas, El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Crystal Fernandez-Pena, University of Texas, El Paso; Helen Elizabeth Geller, University of Texas, El Paso; Giselle Andrade, STEMGrow; Diane Elisa Golding, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Herminia Hemmitt, University of Texas, El Paso; Melissa Stearns

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

Motivation, Self-Efficacy, Self-Determination, Grade Motivation, and CareerMotivation. Glynn and his associates define student motivation to learn science as the “internalstate that arouses, directs, and sustains student behaviors associated with the learning of science[8].Table 1. Student Scores on the SMQ II-Pre & Post TestsTest Students/Scores Intrinsic Self- Self- Grade Career Overall/Raw Motivation Efficacy Determination Motivation Motivation AggregatePre Total # 114 114 114 114 114 Average Score 14.25 14.23 13.64 16.92 15.35 74.39 (n=114) STEMGrow(n=86) 14.63

Conference Session

Bridge Programs Connecting to First-Year Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rezvan Nazempour; Houshang Darabi, University of Illinois, Chicago; Peter C. Nelson, University of Illinois, Chicago; Renata A. Revelo, University of Illinois, Chicago; Yeow Siow, University of Illinois, Chicago; Jeremiah Abiade

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs, Pre-College Engineering Education

]found that college students who were high-achieving usually had access to a summer bridgeprogram prior to entering their first year.In the second area, increasing interest in the major [13], [14], improving student sense of belonging[15], [16], [17], increasing student sense of preparedness [17], [18], increasing student self-efficacy [17], [19], and networking with students [20], [21], [22], and faculty [15], [23] can beconsidered as sub-goals. Finally, recruiting students to the majors [13], [14] and enhancingdiversity in the major [15], [24] are considered sub-goals for the third category.This paper presents a detailed report of a Summer Bridge Program (SBP) as a part of an ongoingNational Science Foundation (NSF)-supported project, which

Conference Session

Design in Engineering Education Division (DEED) - DEI and Design Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sebastian Dziallas, University of the Pacific; David Mueller, University of the Pacific; Shelly Gulati, University of the Pacific; Mary Kay Camarillo, University of the Pacific; Abel A. Fernandez P.E., University of the Pacific; Chi-Wook Lee, University of the Pacific; Vivek Pallipuram, University of the Pacific

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

academic climate, grades and conceptual understanding, self-efficacy and self-confidence, high school preparation, interest and career goals, and race and gender.” [5]There have been repeated calls to reimagine engineering education to better prepare students forthe 21st century (e.g. [6]). Institutions across the country have redesigned their introductorycourse experiences in engineering in recent years. This includes, for instance, Oregon StateUniversity [7], James Madison University [8], Norwich University [9], Portland State University[10], Temple University [11], Clarkson University [12], and University of California, Irvine [13],among others. However, this is not a US-specific phenomenon, with institutions in othercountries reporting similar

Conference Session

International Educational Experiences (1)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alistair Cook, Colorado State University

Tagged Topics

Diversity

Tagged Divisions

International

Citizens  Engineering Students preparedness for working globally  Evaluation of learning programsIt should be noted that developing assessment and evaluation methods in this area is inherently complex,given the list of areas to be investigated, including ethics, social norms, global difference along withstudents own biases based on culture, racial and ethnic position, socio-economic status etc. [12] Thereare also research philosophy and methodological issues to consider, most qualitative measures of globalpreparedness or awareness are by nature, self-efficacy which may call into question the level of ability ofstudents to self-assess given their respective levels of experience. As an example, a recent study into theEWB-USA chapter at

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Barry M. Lunt, Brigham Young University; Mudasser Fraz Wyne, National University; David A Wood, Brigham Young University

Tagged Divisions

Computing and Information Technology Division (CIT)

Sensor Networks in Health Care 72 2013 System STEM Outreach: Assessing Computational Thinking and 49 2017 Problem Solving Cloud Computing in Computer Science and Engineering 30 2012 Education Survey of Cybersecurity Education through Gamification 24 2016 The Impact of STEM Experiences on Student Self-Efficacy 22 2016 in Computational Thinking Gamification-Based Cyber-Enabled Learning Environment 20 2016 of Software Testing Exploring Computing Identity and Persistence Across 18 2019 Multiple Groups Using Structural Equation

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Maria-Isabel Carnasciali, University of New Haven; Shannon Ciston, University of California, Berkeley; Tressa Kay Mikel, University of California, Berkeley; Aida Marie Morales; Sanya Sehgal; Melissa L. Whitson, University of New Haven

Tagged Topics

Diversity, NSF Grantees Poster Session

faculty and administrators will require a cognizant understanding ofwho these students are, -- the challenges they face, how they handle stress, their levels of self-efficacy, and their development of an engineering identity, -- if they are to successfully designand implement programs specifically targeted at this demographic.The semistructure interview and design protocols have resulted in large amounts of datacollected. Work continues to explore the intricacies of who these students are. The aim is to havelarge enough numbers that results can be generalized and broadly applied. Future work willdwell into adult learners’ level of preparedness and their student-faculty relationship.AcknowledgementsThis material is based upon work supported by the

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jeanette Chipps, Montana State University ; Suzanne G Taylor, Montana State University; Nicholas Lux Lux, Montana State University; Elizabeth Nelson, Montana State University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

report, we hope to include various measures of success forthis project that will aid in better understanding how short summer camps can be leveraged toincrease student knowledge of STEM integration and student interest in future STEM careers.The project team will conduct both a process and outcome evaluation. We will evaluateattendance at the camp and the community educator training as a measure of process evaluationto measure dose delivered and received. We will also measure fidelity of implementation of thecurriculum. For the outcome evaluation, we will measure community educator geospatialtechnological content knowledge and self-efficacy. We also aim to incorporate communityeducator definitions of success in their own camps as an evaluative

Conference Session

NEE Technical Session 3 - Courses: development, logistics, and impact

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sanaz Motamedi, University of Florida; Viktoria Medvedeva Marcus, University of Florida

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators Division (NEE)

the effects of learningstyle and personality on online learning system use and outcomes. In Baherimoghadam et al.,2021 [20], authors examined the effect of learning style and self-efficacy on satisfaction of e-learning in Generation Z dental students. The study defined learning style as “a combination ofcognitive, emotional, and physiological characteristics [which] might indicate how a student canlearn,” and used the Solomon and Felder learning styles index to measure different learningstyles which has four characteristics, including processing, perception, input, and understanding.Using SPSS to analyze their results, the authors found that active processing and globalunderstanding learning style characteristics had significant relationships

Conference Session

Promoting Social Sustainability, Cultural Assets, and Assessing Equity and Diversity Index

Collection

2023 ASEE Annual Conference & Exposition

Authors

Collette Patricia Higgins; Emily Joanna Kamp; Kenneth Stewart; Azadeh Bolhari, P.E., University of Colorado, Boulder; Daniel Ivan Castaneda, James Madison University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

engineering drew on familial capital to navigate unwelcomingengineering environments [Smith, 2022]. Mexican-American and Latinx learners, in otherstudies, regularly drew on their strengths in cultivating familismo and other cultural assets intheir progression through engineering programs [Rodriguez et al., 2023; Rincón & Rodriguez,2021; Wilson-Lopez et al., 2016]. While many of these studies employ qualitative and mixedmethods, several have used quantitative methods [Denton et al., 2020]. In a systematic review ofCCW in STEM education research, Denton et al. (2020) identified two studies that utilize asolely quantitative approach. The first quantitative study explored the relationship between thecapitals of CCW and the self-efficacy of

Conference Session

Student Success I: Interventions and Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joanna Perry Weaver, University of Louisville; Marci S. Decaro, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville; Patricia A. Ralston, University of Louisville

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

encouraging collaboration andreducing competition may increase achievement. Cooperative learning is one such instructionalstrategy that has been shown to improve affective outcomes, such as self-efficacy in students.12Cooperative Learning Group learning can take a variety of forms, and many of the terms to describe these formsare used interchangeably (e.g., cooperative, collaborative and problem-based learning13). Thesegroup learning varieties have been found to increase student motivation and achievement, butdiffer in terms of level of task structure, the assignment of roles to group members, use of sharedmaterials, involvement of instructors, and built-in reflection on the process. One particular grouplearning structure used in the current

Conference Session

Accountability and Stewardship

Collection

2024 ASEE Annual Conference & Exposition

Authors

Helen Newton; Lisa Romkey, University of Toronto

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

variables that SCCT is built upon. The first is self-efficacy beliefs. That is,how a person perceives their ability to do something. These beliefs are dynamic and can changefrom activity to activity as well as over time. The next variable is outcome expectations. Aperson is more likely to do something if they believe the outcome will be positive (for them, forsociety, or in whatever sense they choose). The last one is personal goals, and it relates to bothself-efficacy and outcome expectations. Personal goals are often what drives people to pursue acertain academic path and are usually grounded in what they believe they can do (self-efficacybelief) and the intention of a positive outcome (outcome expectations).Research of the application of SCCT to

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mitchell Gerhardt, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Emily Dringenberg, The Ohio State University; Benjamin Ahn, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

.” Ultimately,perceived norms are shaped by an individual’s perception of other’s attitudes toward thebehavior and social expectations about the consequences of the behavior – critical components ofintention.The third component, perceived behavior control, encompasses individuals’ perceptions of theircapacity or control over executing a specific behavior. This concept aligns with the notion ofself-efficacy [36], where actions are contingent upon one’s belief in their capability to performthem, as acknowledged the authors: “It can be seen that our definition of perceived behavioralcontrol…is very similar to Bandura’s conception of self-efficacy” [4, p. 155]. In this manner, theRAA connects to behavioral theories commonly employed in engineering

Conference Session

Professional Development for Pre-Service and In-Service Teachers

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jerome P. Lavelle, North Carolina State University; Laura Bottomley, North Carolina State University; Amber L. M. Kendall, North Carolina State University; Matthew T. Stimpson, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

the teachers and theuniversity students related to engineering habits of mind, awareness of engineering as aprofessional field, and development of self-efficacy related to engineering topics.Data Collected: Consistent with a mixed methods approach [28], we collected multiple sources ofdata to evaluate our RET program, including a STEM teaching efficacy instrument, video andobservation of classroom lessons, engineering-based lesson plans, laboratory notebooks, and anend-of-summer reflection survey.STEM teaching and learning outcomes were measured by the MISO T-STEM instrument, whichwas intended to characterize participant attitudes on entering the program and identify areas ofgrowth due to program participation. The T-STEM (Teacher Efficacy

Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, University of Georgia; Daniel Bayah, University of Georgia; Nathan Mentzer, Purdue University ; Scott R Bartholomew, Brigham Young University; Scott Thorne, Purdue University ; Wonki Lee, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

, "Design thinking as an approach for innovation in healthcare: Systematic review and research avenues," (in English), BMJ Innovations, vol. 7, no. 2, pp. 491-498, 2021, https://doi.org/10.1136/bmjinnov-2020-000428.[11] R. F. DeVellis, Scale development: Theory and applications, 3rd ed. Thousand Oaks, CA: Sage Publications, 2003.[12] A. Jackson, "Validity evidence for the general engineering self-efficacy and engineering skills self-efficacy scales with secondary students," in Proceedings of the 2018 ASEE Illinois-Indiana Section Conference, West Lafayette, IN, 2018, https://doi.org/10.5703/1288284316863.[13] K. A. Douglas and Ş. Purzer, "Validity: Meaning and relevancy in assessment for engineering

Conference Session

Equity, Culture & Social Justice in Education Division (EQUITY) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rachel Figard, Arizona State University; Sabina Anne Schill, Florida International University ; Medha Dalal, Arizona State University; Adam R Carberry, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

) [7]. SCCT explains students’development of vocational and academic interests, career-relevant choices and decisions, andpersistence in professional, educational and occupational fields [8]. It specifically suggests thatenvironmental contextual elements combined with learning experiences impact self-efficacy andoutcome expectations to advance an individual’s interests and commitment decisions. The surveyitems were adopted from a previously tested model and study by Lent et al. [9] that examined theinterplay between interest, satisfaction and students' intentions regarding engineering majors.The pre-survey was given to students within their first month of taking the course and thepost-survey was given to students during their last month in the

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

K. Jo Min, Iowa State University of Science and Technology; John Jackman, Iowa State University of Science and Technology; Zhuoyi Zhao, Iowa State University of Science and Technology

elements based on animated videosdeveloped for engineering drawing subjects. They found that the multimedia element foranimation videos could increase students’ imagination and visualization [5]. Furthermore,Berney and Bétrancourt investigated whether animation is beneficial overall for learningcompared to static graphics and found a positive effect of animation over static graphics [6]. Wenote that visualization aids themselves are not new (e.g., [7] where the emphasis is on the 2-dimensional static figures and self-efficacy).Work in ProgressWe will conduct our experiment on students in online and on-campus sections. The workflow isshown in Figure 1. Specifically, 1. Students learn the (Q, r) model (i.e., the abstract conceptual, analytical

Conference Session

Cooperative and Experiential Education Division (CEED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

P.K. Imbrie, University of Cincinnati; Fazel Ranjbar, University of Cincinnati; Jutshi Agarwal, University of Cincinnati

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

, G. (2005, June). A Qualitative Investigation Of A First Year Engineering Service Learning Program. In 2005 Annual Conference (pp. 10-77). 12. Main, J. B., Johnson, B. N., Ramirez, N. M., Ebrahiminejad, H., Ohland, M. W., & Groll, E. A. (2020). A case for disaggregating engineering majors in engineering education research: The relationship between co- op participation and student academic outcomes. International Journal of Engineering Education, 36(1), 170-185. 13. Raelin, J. A., Bailey, M., Hamann, J., Pendleton, L., Raelin, J., Reisberg, R., & Whitman, D. (2011). The effect of cooperative education on change in self-efficacy among undergraduate students: Introducing work self-efficacy

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lorelie Imperial, University of Florida; Corey Payne; Kent J. Crippen, University of Florida; Maria Korolev, University of Florida; Philip J. Brucat, University of Florida; Chang-Yu Wu, University of Florida

Tagged Topics

Diversity, NSF Grantees Poster Session

additional courses [18], [19]. Interest and success build self-efficacy, an expectancy belief, that is defined as “beliefs in one’s capabilities to organize andexecute the courses of action required to produce given attainments'' [20]. Self-efficacy has beenshown to be one of the strongest predictors of academic achievement for undergraduates [21]. MethodologyThis study employed a causal-comparative, single group research design. A purposeful sample of281 participants taking the first semester general chemistry laboratory course for engineers wereconsented as participants. Demographics were determined based upon an initial survey whereparticipants indicated their major, gender identity and ethnicity. URM

Conference Session

Mathematics Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luke A. Duncan, Clemson University; Karen A. High, Clemson University; D. Matthew Boyer, Clemson University; Liz McKinley, Clemson University

Tagged Divisions

Mathematics

only so much you can do with these circumstances. And I guess I [sic]giving office hours is the best they can do.” In retrospect, the majority of students indicated thatthey would have spent more time preparing and organizing resources if they had known such atransition would take place. This fact highlights how underprepared many of the students were inthe skills needed to be successful in online learning. Students have spent years developinglearning and study skills in mostly in-person environments. When forced to transition to onlinelearning, students may have lacked the confidence or self-efficacy to take charge of their ownlearning and seek out resources to better their learning either through office hours, friend orstudy groups, or

Conference Session

Biomedical Engineering Postcard Session (Best of Works in Progress)

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nicole L. Ramo, Shantou University; Aileen Huang-Saad, Northeastern University

Tagged Divisions

Biomedical Engineering

interdisciplinarityand medical school plans (p = 0.078).Potential Theoretical Frameworks and Relevancy to Work-in-Progress Two frameworks are being considered for the proposed multi-institutional study. We areseeking feedback from the ASEE community on the utility of these frameworks and constructs inexploring the relationships between BME student motivation, expectations, perceptions, andcareer beliefs/goals. Social Cognitive Career Theory (SCCT) [7]–[9] is a popular theoretical framework usedwhen studying engineering students’ choice of major [10]–[12], career goals [4], [12], [13], andeven perception of the engineering profession [14]. The SCCT model of choice explores therelationships between self-efficacy, outcome expectations, and interest

Conference Session

First-Year Programs: Focusing on Student Success

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Youngstown State University; Aditya Johri, George Mason University; Nazanin Naderi, Youngstown State University

Tagged Divisions

First-Year Programs

Barriers to LearningAnalytics Adoption in Higher Education. Lester, J., Klein, C., Rangwala, H. & Johri, A. (Eds.).Learning Analytics in Higher Education: Current Innovations, Future Potential, and PracticalApplications. Routledge, NY, pp. 1-19.Karim, S., & Kandy, M. (2011). Time management skills impact on self-efficacy and academicperformance. Journal of American Science, 7(12), 720-726.Kearns, H., & Gardiner, M. (2007). Is it time well spent? The relationship between timemanagement behaviours, perceived effectiveness and work-related morale and distress in auniversity context. Higher Education Research & Development, 26(2), 235-247.Khatib, A. (2014). Time management and its relation to students' stress, gender and

Conference Session

Materials Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ethan Sclarsky, Rensselaer Polytechnic Institute ; Tyler Marquis Cooper, Rowan University; Johannes Strobel, Texas A&M University; Jennifer Kadlowec, Rowan University; Andrea Jennifer Vernengo, Rowan University

Tagged Divisions

Materials

Foundation,Division of Research and Learning in Formal and Informal Settings, 2010.37. Carberry A, Ohland M, Lee HS. Measuring engineering design self-efficacy. Journal ofEngineering Education. 2010;99(1):71-9. Page 26.670.8

Conference Session

First-year Programs: Core Skills

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wujie Zhang, Milwaukee School of Engineering; Gina Elizabeth Mazzone, Milwaukee School of Engineering; Anne Alexander, Milwaukee School of Engineering; Jill Meyer, Milwaukee School of Engineering

Tagged Divisions

First-Year Programs

an understanding of students' chemistry education backgroundas well as their intent of study to be able to analyze the results based on their majors (majors willbe clustered and included in the drop-down list). The questions related to motivation assessmentare selected from the attached reference to mainly focus on the three factors of motivation: self-efficacy (Q4 and 5), active learning strategies (Q6-8), and science learning value (Q9-11). Q11looks particularly at whether the response is major-dependent. The questions with the highestloading of these three factors have been chosen. Moreover, to ensure the survey quality, a reversequestion has also been included (Q5).Voluntary Qualtrics surveys containing an informed consent statement were

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Arif Mohaimin Sadri, Florida International University

Tagged Divisions

Educational Research and Methods

through formation of student learning communities," in AIP Conference Proceedings, 2010, pp. 85-88. 5[20] J. Bruun and E. Brewe, "Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores," Physical Review Special Topics-Physics Education Research, vol. 9, p. 020109, 2013.[21] R. Dou, E. Brewe, G. Potvin, J. P. Zwolak, and Z. Hazari, "Understanding the development of interest and self-efficacy in active-learning undergraduate physics courses," International Journal of Science Education, vol. 40, pp. 1587-1605, 2018.[22] J. P. Zwolak, R. Dou, E. A. Williams, and E. Brewe, "Students’ network integration as

Conference Session

Women in Engineering Division Technical Session 8

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Astrid K Northrup P.E., Northwest College, Powell WY; Andrea Carneal Burrows Borowczak, University of Wyoming

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

aspirations. Many of these factors can betraced to family origin and early childhood, not just to experiences in school. To this end, theliterature review in this paper explores gender-related factors relevant to females’ college majorchoices, including family influences, self-image and self-efficacy, perception of gender roles,students’ value systems, and outcome expectancies for attaining a college degree. Although several of these factors have been widely studied, and family of originconfiguration in relationship to college major has been studied in other countries (specificallyItaly), there is a gap in the literature for this relationship as concerns US students

Conference Session

FPD5 -- Placement & Early Success

Collection

2006 Annual Conference & Exposition

Authors

Mwarumba Mwavita, Oklahoma State University

Tagged Divisions

First-Year Programs

. There are many activities in collegebesides academics such as sports, parties, and social life in general. These extracurricular(social) activities may come in the way of students’ academic work and jeopardize theirperformance. However, according to research on self-regulated learning, students who exerciseself-regulated learning strategies in the midst of all distractions are more likely to succeed intheir academic endeavors. 13Four items in the instrument assessed classroom engagement. These items dealt with doinghomework, assignment completion prior to class, studying, and taking notes in class.Self-regulated learning was assessed with self-regulated learning subscale from Bandura’sMultidimensional Scales of Perceived Self-Efficacy developed

Conference Session

The D/M/A of CE

Collection

2013 ASEE Annual Conference & Exposition

Authors

Linda Barrington, University of Massachusetts, Lowell; Emmanuelle Reynaud, University of Massachusetts, Lowell; Ella Willard-Schmoe, University of Massachusetts Lowell

Tagged Divisions

Community Engagement Division

had significant positive effects on 11 outcome measures: academic performance (GPA,writing skills, critical thinking skills), values (commitment to activism and to promoting racialunderstanding), self-efficacy, leadership (leadership activities, self-rated leadership ability,interpersonal skills), choice of a service career, and plans to participate in service after college.In all measures except self-efficacy, leadership, and interpersonal skills, service-learning wasfound to be significantly more effective than service alone.12,13 This longitudinal study isongoing.Since the 2004 inception of the UMass Lowell Francis College of Engineering college-wideservice-learning effort (assisted by an NSF grant), 58 faculty members have taught at least

Conference Session

Retention and Persistence in Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Geoff Potvin, Clemson University; Zahra Hazari, Florida International University; Leidy Klotz, Clemson University; Allison Godwin, Clemson University; Robynne M. Lock, Department of Engineering and Science Education, Clemson University; Jennifer Dawn Cribbs, Western Kentucky University; Nicole Barclay, Clemson University

Tagged Divisions

Educational Research and Methods

carrying out the tasks as part ofthe role, and their beliefs in their ability to perform in the role. In fact, previous work14,16 hasshown that the performance and competence domains are not statistically independent and,instead, load together in factor analyses. Thus, there are three statistically distinct aspects ofone's identity in a subject: interest, recognition, and performance/competence.Another framework with a long and venerated history of use in understanding engineeringstudent career choice is the social cognitive career theory17,18. This framework, implementing thesocial cognitive theories of Bandura19 in the domain of career choice, uses two affectiveconstructs in particular: self-efficacy beliefs (which has some overlap with the