Conference Session

Mentoring Minorities: Effective Programs, Practices, and Perspectives

Collection

2014 ASEE Annual Conference & Exposition

Authors

Joi-Lynn Mondisa, Purdue University, West Lafayette

Tagged Divisions

Minorities in Engineering

. & Yeo, T. P. Measuring the effectiveness of faculty mentoring relationships. Academic Medicine 80, 66 (2005).18 Hayes, E. F. Mentoring and nurse practitioner student self-efficacy. Western Journal of Nursing Research 20, 521 (1998).19 Yost, R. “I think I can”: Mentoring as a means of enhancing teacher efficacy. The Clearing House 75, 195- 197 (2002).20 Blake Beard, S., Bayne, M. L., Crosby, F. J. & Muller, C. B. Matching by race and gender in mentoring relationships: Keeping our eyes on the prize. Journal of Social issues 67, 622-643 (2011).21 Blake-Beard, S. D. Taking a hard look at formal mentoring programs: A consideration of potential challenges facing women. Journal of Management Development 20

Conference Session

Thermodynamics

Collection

2013 ASEE Annual Conference & Exposition

Authors

Nihad Dukhan, University of Detroit Mercy; Mark Schumack, University of Detroit Mercy

Tagged Divisions

Mechanical Engineering

extent onstudents’ self-efficacy and the degree of collaboration among peers. In problem-basedenvironments, learners practice higher order cognitive skills (analysis, synthesis and evaluation),and constantly engage in reflective thinking.49 Students using problem-based learning can havea varied level of guidance form their instructors ranging from no to moderate guidance. If theguidance level is too low in problem-based learning, heavy cognitive loads may result during thelearning process. Lape10 presented tiered scaffolding techniques to bridge the gaps in high-cognitive-load problem-based learning in thermodynamics.Alvarado44 described a problem-based activity in which students were asked to design anexperiment based on a thermodynamics device

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nivedita Kumar, Florida International University; Bailey Bond-Trittipo, Florida International University; Maimuna Begum Kali, Florida International University; Stephen Secules, Florida International University; Angela Estacion, WestEd; Mark Allen Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University; Jacqueline Faith Sullivan, University of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

pursue a professional computing industry careerpathway [11]. Factors hindering computing students from pursuing internships are studentinterest in internships include, lower self-efficacy, the challenging application process forinternships, and other priorities such as family, focusing on their GPA, etc. [12]. Less frequently,students may consider going into business for themselves as an entrepreneurship pathway. Jobmarket conditions and socioeconomic status are primary factors influencing the students’decision to pursue entrepreneurship [4], [13]. Finally, though perhaps not exhaustively, studentscan consider attending graduate school and conducting research through a master’s or Ph.D.degree. Students’ interest and actual enrollment in graduate

Conference Session

Design in Engineering Education Division (DEED) Technical Session 8

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary Lynn Realff, Georgia Institute of Technology; Sydney Mae Ayers; Julianne Latimer; Lily Sullivan; Clara Blue Templin

Tagged Divisions

Design in Engineering Education Division (DEED)

et al. observed to students involved in group work. Lin andYou [14] developed the Predicting Teamwork Performance system to identify functional rolesautomatically. In their work, students agreed (60%) that the strengths and role assignment systemhelped them cooperate with team members effectively and distribute the workload appropriately.Deemer et al. [12] studied how an energy science intervention caused an increase in leadershipand teamwork, increasing the self-efficacy of students. Martin et al. [16] showed the importanceof understanding justice through the teaching materials that they developed. They studied theimpact of teaching students how to work effectively in teams for the problem-based learningintensive BS Biomedical Engineering

Conference Session

Student Engagement, Socioemotional Needs, and Social Support During Pandemic

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matilde Luz Sanchez-Pena, University at Buffalo; Chloe Otis, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

affects students in these majors negatively.Instructor characteristics such warmth and encouragement are associated with a strong sense ofbelonging [30] and these are typically absent in the traditional teaching methods employed inengineering [7]. Additionally, sense of belonging is directly related to a student's self-efficacy tosucceed and their value of their coursework [30]. In return this lack of value in their curriculumcan support the perception of a poor campus climate as they feel as they are not supported tosucceed.In terms of the elements related to diversity and inclusion, engineering students showed a higherknowledge of campus programs, policies, and efforts than the other two groups; however, theyhad a significantly lower levels of

Conference Session

Empathy and Human-centered Design 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Xiao Ge, Stanford University; Daigo Misaki, Kogakuin University; Nanami Furue, Tokyo University of Science; Chunchen Xu

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

biomedicalengineering. After cleaning up with attention checks, we have in total 158 Japanese engineeringstudents (7 female, 149 male, mean age = 19.96) and 209 American engineering students (80female, 128 male, 1 other, mean age = 24.3) who have completed the survey. Amongst theAmerican participants were White American: 56%, African American: 10%, Latino American:14% , Asian American: 27%, Native Americans: 2 and Pacific Islander: 1. Based on a singlesubjective socioeconomic status measure (0 - worst off to 10 - best off), we retrieved the subjectivesocioeconomic status, which was comparable between Japanese participants (mean = 6.39, SD =1.94) and American participants (mean = 6.35, SD = 1.72). The participants took the survey in2020 after the COVID-19

Conference Session

NSF Grantees Poster Session II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jacqueline Fleming Ph.D., National Action Council for Minorities in Engineering

Tagged Topics

Diversity, NSF Grantees Poster Session

engineering; what it takes to be successful inthe engineering program; and their advice to incoming minority students. A fourth questionasked for their assessment of the effectiveness of seven academic support program components.Major student responses were coded for thematic content or tabulated and then entered intoregression equations against four measures of achievement, including students’ GPA, longevityin the program, average SAT/ACT scores of minority students in the school of matriculation, andtheir school's effectiveness in graduating minority students as assessed by 6-year graduationrates. Responses positively associated with achievement indices were then factor analyzed toisolate common clusters associated with success in engineering

Conference Session

Advances in Assessment of Communication and Interdisciplinary Competence

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tristan T. Utschig, Georgia Institute of Technology; Judith Shaul Norback, Georgia Institute of Technology; Jeffrey S. Bryan, Georgia Institute of Technology

Tagged Divisions

Liberal Education/Engineering & Society

, International Journal of Engineering Education, Vol. 27, No. 6, pp. 1-12, 2011.4. T.T. Utschig and J. Norback, Refinement and Initial Testing of an Engineering Student Presentation Scoring System, American Society for Engineering Education Conference, Louisville, KY, June 20-23, 2010.5. Eccles, J.S. 2005. Subjective task value and the Eccles et al. model of achievement-related choices. In Handbook of competence and motivation, eds. A. J. Elliot and C. S. Dweck, 105-21. New York: Guilford Press.6. Velez, J. 2008. Instructor communication behaviors and classroom climate: Exploring relationships with student self-efficacy and task value motivation. http://etd.ohiolink.edu/send- pdf.cgi/Velez%20Jonathan%20J.pdf?acc_num=osu1211151901 (last

Conference Session

Architectural Engineering Division (ARCHE) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Samuel Underwood, University of Nebraska - Lincoln; Markeya S. Peteranetz, University of Nebraska - Lincoln; Clarence Waters, University of Nebraska - Lincoln

Tagged Divisions

Architectural Engineering Division (ARCHE)

programs, conceptual difficulties with core courses, a lack of self-efficacy or self-confidence, inadequate high school preparation, insufficient interest in or commitment to thefield of engineering or a change in career goals, and racism and/or sexism” [2]. Retentionprograms that directly address these attritional factors may be more successful.Common interventions have included faculty development, support programs,remedial/developmental course work, learning communities, and intervention programs tailoredto individual students [3]. Of a survey of twenty-five studies that related to improving studentretention, many potential actions with evidence of success were identified—among whichlearning communities, support groups or networks, and student

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Virginia Davis, Auburn University; Joni Lakin, The University of Alabama; Daniela Marghitu, Auburn University; Edward Davis, Auburn University

transformative experience as the altruism-focusedinterventions. This research has shown that framing engineering as an altruistic career path canlead to meaningful changes in students’ definitions of engineering and their connection ofengineering to their career interests.IntroductionThe Goal Congruity Framework (GCF)[1, 2] predicts that students will experience greatercommitment to a career when there is alignment of their career values and their perceptions of thefield in terms of what values it can align with. Similarly, Social Cognitive Career Theory (SCCT)explains how students’ learning experiences can inform their career identity development throughtheir self-efficacy, outcomes expectations (perceptions in GCF), and values for their career.[3

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Marcia Mardis, Florida A&M University - Florida State University; Faye Jones, Florida A&M University - Florida State University

]. Available: http://ies.ed.gov/pdf/CommonGuidelines.pdf.[16] U.S Department of Labor [DOL]. (2010, February 2). Advanced manufacturing competency model [Online]. Available: http://careeronestop.org/Advanced- Manufacturing.pdf.[17] U.S Department of Labor [DOL]. (2020). Advanced Manufacturing competency model [Online]. Available: https://www.careeronestop.org/competencymodel/competency- models/advanced-manufacturing.aspx.[18] C. C. Chen, P. G. Greene, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing, vol. 13, pp. 295-316, 1998.[19] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of

Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joanna Mirecki Millunchick, University of Michigan; Yixian Zhou

Tagged Divisions

Educational Research and Methods

scorestend to increase with increasing frequency of participation. Nevertheless, we see no statisticallysignificant differences between the regular, super, and selective groups for most of the outcomes,suggesting that the highly active or officer level involvement isn’t related to gains in outcomescompared to more moderate (regular, non-officer). The only outcome for which this is not true isGPA, which is doesn’t change significantly between different clusters of participants.IntroductionIt is well established that participation in co-curricular experiences in college has significantimpact on student outcomes.[1], [2] It has been shown that co-curricular activities that are relatedto the academic endeavor are positively related to self-efficacy in

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

Prateek Shekhar, University of Michigan; Aileen Huang-Saad, University of Michigan

Tagged Divisions

Entrepreneurship & Engineering Innovation

process. This collection offactors was related to a wide array of areas such as interpersonal skills, need forachievement, and self-efficacy. In another study, Boulanger & Tranquillo [24] focused ondeveloping EM in students by engaging them in a learning environment that blendsdesign and entrepreneurship. To foster the development of EM, the authors placedemphasis on engaging students in entrepreneurial processes such as opportunityrecognition, examination of customer needs, and field observations. Similarly, otherresearchers centered their conceptualizations of EM on a variety of entrepreneurialprocesses including, but not limited to, opportunity orientation, value proposition,proactive decision-making, risk-taking, dealing with uncertainty

Conference Session

Mechanical Engineering Division Technical Session 7

Collection

2019 ASEE Annual Conference & Exposition

Authors

Louis J. Everett, University of Texas, El Paso; Norman Love, University of Texas, El Paso; Md Moinuddin Shuvo, University of Texas at El Paso; Vishal Bhimrao Zade, University of Texas, El Paso

Tagged Divisions

Mechanical Engineering

-13, August 2004.[4] Williams, J., and Jacobs, J., “Exploring the Use of Blogs as Learning Spaces in the HigherEducation Sector,” Australian Journal of Educational Technology, vol. 20, no. 2, pp. 232-247,2004.[5] Davies, J., and Graff, M., “Performance in e-Learning: Online Participation and StudentGrades,” British Journal of Educational Technology, vol. 36, no. 4, pp. 657-663, 2005.[6] Shea, P., and Bidjerano, T., “Learning Presence: Towards a Theory of Self-Efficacy Self-Regulation and the Development of a Communities of Inquiry in Online and Blended LeanringEnvironments,” Computers and Education, vol. 55, pp. 1721-1731, 2010.[7] Sadera, W., Robertson, J., Song, L., and Midon, N., “The Role of Community in OnlineSuccess,” Journal of Online

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Madeleine Jennings, Arizona State University; Kimberly Grau Talley P.E., Texas State University

Tagged Topics

Diversity, NSF Grantees Poster Session

% 55.0% 50.0% No Intervention Design Intervention Early Career Intervention Non First Gen Retained First Gen Retained Figure 4: First Generation vs. Non-First Generation Retention Rates by Intervention TypeFirst generational students are at a higher risk of not being retained in any college major, let alonein engineering, citing their lack of preparedness, lack of integration into postsecondary education,and lower self-efficacy than their non-first generational peers [19-20]. While the original purposeof this study was not to increase first-generational retention rates, the prospective results ofintervention were enticing enough to warrant further

Conference Session

Fundamental: Metrics & Assessment for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cathy P. Lachapelle, Museum of Science; Yoonkyung Oh, Pennsylvania State University; Muhammad Faiz Shams, Museum of Science; Jonathan D Hertel, EiE/Museum of Science; Christine M Cunningham, Museum of Science

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

realistic Page 26.848.2problems. Engaging in PBL is challenging for both teachers and students, but when compared totraditional learning methods, has been shown to lead to improved attitudes, self-efficacy, andlearning gains on both traditional subject matter and problem-solving skills11. Underrepresentedminorities specifically have also been found to benefit in these ways from PBL curricula andtraining for their teachers12.Efficacy StudyThe intent of an efficacy study is to test whether an educational innovation, implemented underideal conditions, has a causal effect on student outcomes13. Resources should be ample andfidelity carefully monitored

Conference Session

First-Year Programs Division Technical Session 7: The Transition from High School to College

Collection

2015 ASEE Annual Conference & Exposition

Authors

Julie M. Hasenwinkel, Syracuse University; Kathryn R Pynn, Syracuse University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

enhancing collaboration between peers andpotentially easing the difficulty of the engineering curriculum for some students. Strategies thathave been found to be effective for learning in engineering classrooms and promoting community-building amongst students include cooperative learning activities, model-eliciting activities,problem-based learning, inquiry-based laboratories, and learning communities.3 The use of studentself-assessment tools can help students to increase self-efficacy and confidence in theirengineering-related abilities.11 Many universities are currently utilizing multi-pronged approachesthat include improvements to mentoring and academic advising, the development of a communityof belonging, and improvements to teaching in the

Conference Session

Dynamics

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jeremiah J. Neubert, University of North Dakota; Joel Kevin Ness, University of North Dakota

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

number of students that fail to complete the coursewith a C or better, a requirement to avoid retaking the course. The impact of the supervisionswas measured through the use of final course grades, student performance on summativeassessments, and surveys. The results show that supervisions positively impacted student successand persistence, but there is some concern with its effects on student self-efficacy. In addition, itwas found that supervisions did not affect student use of crutches.SupervisionsCambridge and Oxford Universities both assign problems to students that become the focus ofsmall group discussions called supervisions. The discussions are facilitated by a supervisor.Typically, the supervisor a graduate student, post-doctoral

Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

John R. Haughery, Iowa State University

Tagged Divisions

Engineering Technology

level of academic engagement a student exhibits[1]. This engagement is contextual and can be strongly impacted by a students’ motivationwithin the given context [2], [3]. In this study, we defined academic success as a combination ofacademic achievement (e.g., grades and GPAs), attainment of learning outcomes (e.g., studentengagement and proficiency profile), and acquisition of skills and competencies (e.g., criticalthinking and problem solving) [4]. We defined student motivation to include expectancy beliefs(i.e., self-efficacy, attributions, and control beliefs), value choices (i.e., goal orientation, interest,and importance), and meta-cognition (i.e., self-regulated learning) [5]. This motivation-cognition-learning model takes the

Conference Session

Literature and Research Perspectives on Engineering Leadership Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

William J. Schell IV P.E., Montana State University; Bryce E. Hughes, Montana State University; Brett Tallman P.E., Montana State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development

college andstudent demographic characteristics, as well as aspects of the college environment and otherexperiences during college that also affect development. The review of the literature on factorsthat affect leadership development, presented next, is organized according to this framework.Demographics and leadershipStudents arrive to college with a variety of characteristics and experiences shown to influence theirleadership development before college. Gender in particular has been shown to affect leadershipattributes in a number of ways and is a source of extensive research [32], even if findings in thisareas are not entirely uniform [33]. For example, male leaders report greater self-efficacy, whilefemale leaders demonstrate higher competency

Conference Session

Evaluation and Assessment of IE Programs

Collection

2006 Annual Conference & Exposition

Authors

Shantha Daniel, Iowa State University; Devna Popejoy-Sheriff, Iowa State University; K. Jo Min, Iowa State University; Leslie Potter, Iowa State University

Tagged Divisions

Industrial Engineering

the students for use as thebasis for a section of their final project reports subtitled “Constraint Considerations andRamifications.” Along with this, the grading rubric distributed in the syllabus wasmodified to evaluate how well this is accomplished by each project team. During Fallsemester 2005, Dr. Min was invited to read students’ impact statements regarding socialconstraints, and to offer opinion about their ability to synthesize global enterpriseconcepts with their company-specific projects.Assessment improvements have been made in several ways in IE 441. A pre- and post-test was designed and administered to IE 441 students the first and last days of the Fall2005 semester. The test indicates their current knowledge and self-efficacy

Conference Session

Gender and Minority Issues in K-12 Engineering

Collection

2010 Annual Conference & Exposition

Authors

Laura Winn, Virginia Military Institute; Gary Winn, West Virginia University; Robin Hensel, West Virginia University; Reagan Curtis, West Virginia University

Tagged Divisions

K-12 & Pre-College Engineering

Academies Press.Washington, DC. 346 pages.3. McLaughlin, D.K., Lichter, D.T. and Matthews, S.A. (1999). "Demographic Diversity and Economic Change inAppalachia". Population Research Institute, Pennsylvania State University. p. 18.4. ibid., p. 123.5. ibid., p. 1266. ibid., p. 147. ibid., p. 468. ibid., p. 329. ibid., p. 16010. ibid., p. 21011. ibid., p. 21512. ibid, p. 22213. American Association of University Women (AAUW). (1998). "Gender gaps: Where schools still failour children." Washington, DC: AAUW Educational Foundation.14. Lupart, J. L., & Odishaw, J. (2003). "Canadian Children and Youth At-Risk." Exceptionality EducationCanada, 2 & 3(13), 9-28.15. Post-Kammer, P., & Smith, P. L. (1985). "Sex differences in Career Self-Efficacy

Conference Session

Track 5: Technical Session 3: Enhancing Diversity and Inclusion for First-Generation Students: A First Year Seminar Course Approach

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Alandra Kahl, Pennsylvania State University, Greater Allegheny

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

' distinct needs (Pascarella et al., 2004). Engineering education, in particular, should consider these challenges because the field demands not only academic rigor but also the development of a strong professional identity and self-efficacy—areas where first-generation students may experience additional hurdles (Strayhorn, 2012).Research shows that first-generation students are less likely to persist in STEM fields, includingengineering, compared to their continuing-generation peers (Chen, 2013). This disparity is oftenattributed to lower levels of social and academic integration, fewer support systems, and a lackof role models in STEM (Terenzini et al., 1996). These factors highlight the need for targetedsupport programming

Conference Session

The Role of Peers in Promoting Learning and Persistence

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Neha Kardam, University of Washington; Shruti Misra, University of Washington; Morgan Anderson, University of Washington; Ziyan Bai, University of Washington; Denise Wilson, University of Washington

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

for analysis. All results were cross-sectional.InstrumentsThe instrument used to collect data for this study was a survey which asked students to reporttheir perceptions of various items related to peer support, engagement, belonging, peerharassment, task value, self-efficacy, TA and faculty support, and TA and faculty interactions aswell as multiple demographic items. The survey also included five short answer questions whichasked students to identify their primary expectations for faculty support (one question), TAsupport (one question), and peer support (three questions). Two of these short answer questionswere included in this analysis.The four Likert scale items used to measure peer support (Table 2) included elements ofinformational

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mia Minnes, University of California, San Diego; Sheena Ghanbari Serslev, University of California, San Diego ; Madison Edwards

Tagged Divisions

Computing and Information Technology

[school anonymized for publication] change as a result of your internship? How will yourexperiences this summer shape your approach to next quarter and beyond?” at the end of their internship.This mixed-methods approach helps us track students’ motivations, perspectives, and plans for action andsituates their internship as an integral part of their CSE undergraduate education.B. Background 1) The role of motivation in learning: Motivation is critical to learning and leads one to pursueand continue to pursue an objective [1, Part II]. Importantly, motivation is believed to be an emergentphenomenon, meaning it can develop over time and be updated based on new experiences. As described in[2], self-efficacy theory [3] and situational interest

Conference Session

Best of DEED

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jessica Menold, Pennsylvania State University, University Park; Kathryn W. Jablokow, Pennsylvania State University; Timothy W. Simpson, Pennsylvania State University, University Park; Emily A. Waterman, Pennsylvania State University

Tagged Divisions

Design in Engineering Education

theimpact of PFX on students’ prototyping awareness.    In this study, students at a large Mid-Atlantic university were taught three prototyping lensesbased on the PFX methodology: (1) Prototyping for Viability, (2) Prototyping for Feasibility, and(3) Prototyping for Desirability. This paper presents preliminary findings on the relationshipbetween these three prototyping lenses and students’ prototyping awareness, which we define asstudents’ ability to identify their mental models during the prototyping process. We useprototyping awareness as a proxy to measure adoption and implementation of PFX methods. ThePrototyping AWareness Scale, or PAWS was created for this study, and we discuss its internalconsistency and future iterations. Data were

Conference Session

Advances in Assessment of Communication and Interdisciplinary Competence

Collection

2012 ASEE Annual Conference & Exposition

Authors

Patricia Carlson, Rose-Hulman Institute of Technology; Arlene Ann Russell; Warren N. Waggenspack Jr., Louisiana State University; Chester G. Wilmot, Louisiana State University; Boz Bowles, Louisiana State University; David R. Voltmer, Rose-Hulman Institute of Technology; W. Todd Monroe, Louisiana State University; Warren R Hull Sr. P.E., Louisiana State University; Dianne Raubenheimer, Meredith College

Tagged Divisions

Liberal Education/Engineering & Society

explains the nature of these six measurements, how they are represented, andwhy they are useful as formative feedback, both for instructors and for students. Table 1: Data Collected In Situ by CPR Workspace Data Use Measurement Text/Submission Quality of the Expressed as a number from 1 (low) to 10 (high); Rating Artifact this score is the weighted average of the holistic (TextRate) evaluations made by three peer reviewers. Calibration % Correct The percent of correct answers to the rubric questions for three benchmark examples

Conference Session

First-Year Programs Division (FYP) - WIPS 4: Projects

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gisele Ragusa, University of Southern California; Erik A. Johnson, University of Southern California

Tagged Divisions

First-Year Programs Division (FYP)

Companion to Science and Engineering Indicators 2014. Alexandria, VA: National Science Board.20. Association of College Research Libraries (2007). The First-Year Experience and Academic Libraries: A Select, Annotated Bibliography.21. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students (Vol. 2): A third decade of research, Jossey-Bates San Francisco.22. Schreiner, L. A., Louis, M. C. & Nelson, D. D. (2018) Thriving in Transitions: A Research-Based Approach to College Student Success. 2nd Ed. Stylus, Sterling ,VA 27-4623. Eileen McBride, E., Vashlishan Murray, A. & Duggan, M.. (2021). Academic Self-Efficacy, Student Performance, and Well-Being in a First-Year Seminar. Journal of The First-Year

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ashita Bawankule, University of Illinois at Urbana - Champaign; Lara Hebert, University of Illinois at Urbana - Champaign; Rafael Tinoco, University of Illinois at Urbana - Champaign; Tracy Dace, University of Illinois at Urbana - Champaign; Alexandria Cervantes

, particularly family, on the interests and careersthat students choose. Students develop higher self-efficacy and STEM outcome expectancieswhen parents stress the importance and value of these subjects and support STEM experiencesboth in- and out-of-school [7]. Parental encouragement including toy selection, access totechnology, and high-quality community resources and formal schooling can provide childrensubstantial advantages during elementary and secondary schooling [8]. The STEM community’sgoal should be to create culturally responsive partnerships with diverse families. Thesepartnerships should be authentic and equal, empowering the families to become activeparticipants, allowing them to show who they really are and celebrating the strengths

Conference Session

Civil Engineering Division - Integration of Engineering and/or Technical Rigor with Diversity, Equity, Inclusion and Justice (DEIJ)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Gerald Wang, Carnegie Mellon University

, we find increased perceptionsof self-efficacy, increased belief that the subject matter of the course is related to future careeraspirations, increased belief that it is possible to improve computing skills within the timespan ofone semester, a sharp reduction in feelings of anxiety associated with coding, and an increasedbelief that computing is a collaborative activity. Perhaps most intriguingly, the data also showthat students have a decreased belief that computing skill is an innate talent possessed by otherpeople (in other words, investment of effort can yield improvements even if one does not startout strong in this area) with a simultaneously increased belief that they themselves possess innatetalent!Beyond these measures of changed