Displaying results 1 - 30 of 203 in total
- Conference Session
- Graduate Studies Division (GSD) Technical Session 3: Mentorship and Communication in Engineering Graduate Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Abimelec Mercado Rivera, Arizona State University; Mayra S. Artiles, Arizona State University; Samantha Ruth Brunhaver, Arizona State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Graduate Studies Division (GSD)
consistently shapes their persistence and success is their advisingrelationship. The way students perceive the support they receive from this relationship caninfluence their self-efficacy concerning the competences needed to finish their dissertation, thesisor applied project report. Understanding the relationship between the student’s self-efficacytowards their culminating tasks and their perception of their advisor’s support is essential, asfrom a motivational standpoint, it can serve as a closer proxy for degree completion.This research paper presents the development and validation of the Advisor Support and Self-efficacy for Thesis completion (ASSET) survey, which measures two constructs: Thesis Self-efficacy and Advisor Support. The former
- Conference Session
- Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Robin Lynn Nelson, University of Texas at San Antonio; Karina Ivette Vielma, The University of Texas at San Antonio; JoAnn Browning, The University of Texas at San Antonio
- Tagged Topics
- Diversity
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
Paper ID #39297Building Research Self-efficacy in Undergraduate Students throughAuthentic Research ExperiencesDr. Robin Lynn Nelson, University of Texas at San Antonio College of Engineering and Integrated Design at the University of Texas at San Antonio. With a Ph.D. in Interdisciplinary Learning and Teaching with a cognate in Instructional Technology and MA in Education with a concentration in Instructional Technology, her research interests lie in the intersection of active learning, broadening participation, and supporting pre-service teachers, instructors, and mentors in their classrooms and educational programming
Board 140: Work in Progress: Exploring Innovation Self-Efficacy in Neurodiverse Engineering Students
- Conference Session
- Minorities in Engineering Division(MIND) Poster Session
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Azadeh Bolhari P.E., University of Colorado Boulder; Angela R. Bielefeldt, University of Colorado Boulder
- Tagged Topics
- Diversity
- Tagged Divisions
- Minorities in Engineering Division(MIND)
. Identification of our neurodivergent studentassets can then motivate the degree to which that engineering program requires adaptation tosupport these students, such as cohorts, space/dorms, etc. Beyond this, it also gives insights tohow interactions with others may affect the confidence and self-efficacy of neurodiverse studentsin the major, particularly as interventions are designed and deployed. Low self-efficacy has beenlinked to low retention rates in programs, particularly for Students of Color, so a measurement ofsocial capital, as an example, is a way for a program to address issues in retention and alignopportunities for students of color with goals of improving relations and confidence.LimitationsIt is uncertain how students self-defined
- Conference Session
- Pre-College Engineering Education Division (PCEE) Technical Session 10: Broadening Participation in P12
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Edward Collins, National Society of Black Engineers; Rochelle L Williams, Northeastern University
- Tagged Topics
- Diversity
- Tagged Divisions
- Pre-College Engineering Education Division (PCEE)
ways that make their success more likely [4].In engineering, there are different ways in which self-efficacy is measured. Three categories ofself-efficacy measures used are: 1) general academic self-efficacy, 2) domain-general self-efficacy, and 3) self-efficacy measures for specific engineering tasks or skills [5]. Generalacademic self-efficacy scales broadly assess engineering students’ beliefs in their capabilities toperform academically or perception of their competence to do the work [5]. The second, adaptedfrom general academic self-efficacy, domain-general self-efficacy asks students to rate theirgeneral confidence within a particular subject area of engineering [5]. Third, task- or skill-specific self-efficacy asks students to evaluate
- Conference Session
- Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Sophia Vicente, Virginia Tech Department of Engineering Education; Holly M. Matusovich, Virginia Polytechnic Institute and State University; Wayne Gersie
- Tagged Topics
- Diversity
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
dormitory and for thefirst four weeks of the summer students were required to take their meals “to-go” in the diningcommons. Beginning in July the mask mandates and in-person dining restrictions were lifted.In this assessment report, SOAR’s history as a diversity-focused cohort program and COVID-19both contributed to the context which shaped the data collection. Consequently, the findings andresults are also situated in this context.3. MethodsThroughout the course of the internship program, assessment was conducted through quantitativeand qualitative measures. The data collection methods were guided by ethnographic case studymethodology. Informed by ethnographic data collection approaches, the qualitative datacollection methods included interviews
- Conference Session
- Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Daniel A. Tillman, University of Texas at El Paso; Thomas Joseph Soto, University of Texas at El Paso; Song An, University of Texas at El Paso; Carlos Paez, Navajo Technical University; Alice Carron, Blue Marble Institute of Space Science
- Tagged Topics
- Diversity
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
]. Learning mathematics andscience in engaging contexts, as in this project, through inquiry-based modeling and simulationof their individual and family’s health biometrics, supported by familial collaboration, has thepotential to reduce students’ math anxiety and impact their self-efficacy toward STEM careers. The underlying motivation for this project is to boost the decision-making processes thatinfluence middle school Hispanic students’ confidence in pursuing technology rich STEM careerchoices through positive interaction with user-friendly math and sciences technologies andassociated data collection, analysis, and modeling. Equity and inclusivity in education requiresincreasing diverse minority students’ access to technology rich educational
- Conference Session
- Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Sydney Donohue Jobe, University of New Mexico; Kamryn G. Zachek; Alex Webster, University of New Mexico; Timothy L. Schroeder; Anjali Mulchandani, University of New Mexico
- Tagged Topics
- Diversity
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
Progress: Fellowship Year 2 The GC WSC Fellowship Program is currently in its second year with a new cohort ofstudents. The organizers aimed to create a more formalized method to evaluate the program’simpact on student participants. A survey was created to measure students’ research identity andself-efficacy pre- and post- program involvement. (Appendix I) This assessment tool wasdeveloped from the University’s Expanding Course-Based Undergraduate Research Experiences(ECURE) Impact Assessment and adapted to fit the needs of this program. [21] Questions aim toexplore 1) participants’ previous research and research communication experiences, 2) theiridentity as a researcher, 3) their research self-efficacy, 4) their perception of water
- Conference Session
- Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Charmane Caldwell, Florida A&M University - Florida State University; Reginald J. Perry, Florida A&M University - Florida State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
-college/[4] C.V Caldwell and R. Hughes, “Engineering Living Learning Community Experience: A Model for Improving First-Year Retention and Academic Performance of Black Students” ASEE Conference, Virtual, July 2021.[5] K. Inkelas, M. Soldner, S. Longerbeam, and J. Leonard, “Differences in Student Outcomes by Types of Living–Learning Programs: The Development of an Empirical Typology,” Journal of Research in Higher Education, vol. 49, pp. 495-512, 2008.[6] C. Caldwell and R. Hughes, "An Engineering Summer Bridge Program Utilizing a Safe Space to Increase Math Self-Efficacy" First Year Engineering Experience (FYEE) Conference, Virtual, August 2021[7] C.A. Bodnar, R.M. Clark, M. Besterfield-Sacre, Development and Assessment of an
- Conference Session
- Equity, Culture & Social Justice Technical Session
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Heather Beem, Ashesi University; Charity Obaa Afi Ampomah, Ashesi University; Jeremiah Paul Konadu Takyi; Gordon Adomdza
- Tagged Topics
- Diversity
- Tagged Divisions
- Culture & Social Justice in Education Division (EQUITY), Equity
this transformation, there is cause towarrant a broader exploration of relevant constructs. First, there is concern that self-efficacy canbe considered as a deficit-based construct. Second, its creation in the American context may nottranslate directly to the African context. [4] compared results on the General Self-Efficacy Scaleacross 25 countries and found some variation in the internal consistency across countries, basedon the range of Cronbach’s alpha values, a reliability measure, seen. Most of these countrieswere located in the Global North, and no single African country was included in the study. It istherefore possible that the self-efficacy construct may not be as relevant to our students as thosein other contexts. Third, some
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 1
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Ashish Aggarwal, University of Florida; Griffin Pitts, University of Florida; Sage Bachus, University of Florida; Sarah Rajkumari Jayasekaran, University of Florida; Saira Anwar, Texas A&M University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
their own predic-tion about their final course grade at the beginning of the semester. In particular, we study students’learning self-efficacy, that is, their confidence in themselves to learn in a CS1 course and outcomeexpectancy, that is their expected final grade in the course. We use the term learning self-efficacybecause it refers to students’ confidence measured at the beginning of the course. It’s a proxyfor their perceived ability to solve problems and learn to program. By taking factors like gender,prior programming experience, and GPA, we are interested in analyzing which factors influence astudent’s outcome expectancy and their learning self-efficacy at the beginning of a CS1 course.2 Background and Related WorkVarious instruments
- Conference Session
- Student Experiences and Development – Session 2
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Tejas Gupta, Nanyang Technological University ; Ibrahim H. Yeter, Nanyang Technological University; Michael Jin Khoo, Singapore University of Technology and Design
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
scores for all eight items were averaged to calculate the mean self-efficacystrength scores. Lower scores were indicative of weaker self-efficacy percepts, while higherscores were indicative of stronger self-efficacy percepts. The computed Cronbach’s α was.89, reflecting adequate internal consistency.Outcome Expectation (OE). Ten measures were used to determine participants’ OE, inspiredby Lent et al. (2003). Participants were required to answer their level of understanding withstatements that contained positive outcomes resulting from obtaining a Bachelor of Sciencedegree in engineering (e.g., “graduating with a BS degree in engineering will likely allow meto earn an attractive salary”). Their answers were ranked from 1 (strongly disagree) to 5
- Conference Session
- Multidisciplinary Engineering Division (MULTI) Poster Session
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Cristiane Maria Barra Da Matta, Instituto Mauá de Tecnologia; Daniel Kashiwamura Scheffer, Instituto Mauá de Tecnologia; Susana Marraccini Giampietri Lebrão; Maria do Carmo Fernandes-Martins, Universidade Metodista de São Paulo; Fernando Silveira Madani, Instituto Mauá de Tecnologia
- Tagged Topics
- Diversity
- Tagged Divisions
- Multidisciplinary Engineering Division (MULTI)
Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
- Conference Session
- Cohort-Based Postdoctoral Scholars Program, Transforming the National Engineering Education, Defining Accountability, and Evaluating the Low-Stakes Assessment Performance
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Xiuhao Ding, University of Illinois, Urbana-Champaign; Kang Sun; Zhiyuan Xiao, University of Illinois, Urbana-Champaign; Sujit Varadhan, University of Illinois, Urbana-Champaign; Jiaxi Li, University of Illinois, Urbana-Champaign; Noah Gersich; Ananya Agarwal; Meghana Gopannagari; Alan Tao, University of Illinois, Urbana-Champaign; Chrysafis Vogiatzis, University of Illinois, Urbana-Champaign; David Dalpiaz, University of Illinois, Urbana-Champaign; Jennifer R Amos, University of Illinois, Urbana-Champaign; Lawrence Angrave, University of Illinois, Urbana-Champaign; Hongye Liu, University of Illinois, Urbana-Champaign
- Tagged Topics
- Diversity
- Tagged Divisions
- Minorities in Engineering Division(MIND)
needs. We not only investigated the low-stakesassessments, students’ perceived learning, but also their social learning metrics includingbelongingness and self-efficacy because belonging and self-efficacy in learning are knownimportant factors that positively influence students academic performance [7], and students’success should not be limited to only performance based measurements. Furthermore, we studieda new instrument (PAIM) based on the POUR model [8] that measured students’ perceivedaccessibility. PAIM was found to be predictive of SWD perceived learning [8].Background Perceivable Users can use their available senses, such as sight, hearing, and touch, to fully process information in their electronic
- Conference Session
- Instrument Design and Development
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Alicia Nicki Washington Ph.D., Duke University; Anna Romanova, Winthrop University; Philip Nelson; Siobahn Day Grady, North Carolina Central University; Legand Burge, Howard University
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
. Thisforces students to (re-)enter the same harmful environments with the expectation of developingenough “grit” to “persist” [13]. These efforts place the responsibility on the most minoritized,with no focus on those from dominant identities who create/enable these environments. Creatingand sustaining more equitable and inclusive environments requires improving everyone’scultural competence (not just increasing sense of belonging and self-efficacy in those who aremost harmed).As more computing departments develop interventions to increase diversity, equity, andinclusion that target all students [2], [14], an instrument for measuring their impact beyondenrollment, retention, and graduation rates is needed. This work details the development andtesting
- Conference Session
- Reviewing Methods for Educational Research
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Xiaoye Yang, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell; Giovanni Bautista, University of Massachusetts, Lowell; Yanfen Li, University of Massachusetts, Lowell
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
STEM education for future researchers. He is currently participating in an NSF-funded grant (#1923452) to spearhead research into middle school students’ digital literacies and assessment. Recently, Dr. Hsu has received a seed grant at UML to investigate how undergradu- ate engineering students’ digital inequalities and self-directed learning characteristics (e.g., self-efficacy) affect their learning outcomes in a virtual laboratory environment during the COVID-19 pandemic. Dr. Hsu’s research interests include advanced quantitative design and analysis and their applications in STEM education, large-scale assessment data (e.g., PISA), and engineering students’ perception of faculty en- couragement and
- Conference Session
- First-Year Programs Division (FYP) - Technical Session 4: Supporting Success 1
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Jahnavi Dirisina, University of Oklahoma; Randa L. Shehab, University of Oklahoma
- Tagged Topics
- Diversity
- Tagged Divisions
- First-Year Programs Division (FYP)
factors or sub-constructs commingle to form the self-concept of a student inengineering undergraduate education is the crux of this study. To accomplish that, a systematicreview was performed over recent studies, related to engineering education, that assessed self-concept as part of their methodology.This paper first introduces self-concept and self-efficacy, the two constructs that are often usedinterchangeably in literature, followed by a database search for recent studies measuring self-concept. Based on the results this study enlists the variables assessing either of the constructs thatwere introduced. Then a detailed analysis of the differences between the two constructs isprovided. Extensions to the current structure of self-concept and
- Conference Session
- Entrepreneurship and Inventive Thinking & Student Beliefs
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Joanna K. Garner, Old Dominion University; Melissa G. Kuhn, Old Dominion University; Jayme M. Cellitioci; Matthew Carter
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
and a possible solution,(Conradty, Sotiriou & Bogner, 2020). Self-report measures of design self-efficacy also tend toreflect subject domains such as science (self-efficacy for designing experiments; Hushman &Marley, 2015) and the arts (designing in a visual arts environment; Catterall & Peppler, 2007).Notably, we did not find a self-report measure for problem-finding, ingenuity, or inventivenessthat could be used in elementary and middle school settings.1 Models of the invention process are analogous to the pedagogical guidance provided in models of the engineeringdesign process or the scientific method.Rationale for the Study Using Inventive Mindset measure data from 252 elementary and middle school agedchildren, Garner
- Conference Session
- Experimentation and Laboratory-Oriented Studies Division (DELOS) Technical Session 5: Lab Design
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Nick A. Stites, University of Colorado Boulder; Micaela Valentina Bara, University of Colorado Boulder
- Tagged Topics
- Diversity
- Tagged Divisions
- Experimentation and Laboratory-Oriented Studies Division (DELOS)
] concluded that a fully-flipped statistics course for engineers enabled more personalizedlearning and instruction than a partially-flipped classroom. A study led by Motamedi [19]indicated that a flipped and “modified instructor-guided” pedagogy for a data analysis coursefor engineers yielded higher computational understanding and theoretical and statistical self-efficacy than a problem-based learning approach. However, problem-based learning tended toresult in higher self-efficacy for using data analysis software. Similarly, Huang et al. [20]found that students in a project-based learning intervention were more likely than those in anonline course to talk about the connection between statistics and their disciplines but notthemselves. They posited
- Conference Session
- Women in Engineering Division (WIED) Technical Session 8
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Tagged Topics
- Diversity
- Tagged Divisions
- Women in Engineering Division (WIED)
and co-moderated a Birds of a Feather session at SIGSCE 2022 virtually entitled: Mentoring a Women in Computing Club: The Good, The Bad and The Ugly. Dr. Villani presented a paper at ASEE 2022 in Minneapolis, MN entitled: Designed A (Re)Orientation Program for Women Computing Students at a Commuter College and Measuring its Effectiveness. Fall 2023 a paper entitled: An Early Measure of Women-Focused Initiatives in Gender-Imbalanced Computing programs were presented at CCSC Eastern Conference. Dr. Villani has been a Grace Hopper Scholarship reviewer, Dr. Villani was awarded the Chancellor’s Award for Teaching Excellence in 2013. Prior to joining FSC, Dr. Villani had a fifteen-year Computer Consulting Career in the
- Conference Session
- Analysis of Feedback Loops, Understanding the Impact of a LSAMP Scholar Program, Sustainable and Equitable Infrastructure, and Indigenous Innovators
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Martha Lucia Cano-Morales, Rowan University; Michael Corey Weinberg; Eduardo Rodriguez Mejia; Juan M. Cruz, Rowan University; Gwen Lee-Thomas, Quality Measures, LLC; Holly M. Matusovich, Virginia Tech; Mayra S. Artiles, Arizona State University; Abimelec Mercado Rivera, Arizona State University; Stephanie G. Adams, University of Texas at Dallas
- Tagged Topics
- Diversity
- Tagged Divisions
- Minorities in Engineering Division(MIND)
of the relationship between the student and the student’s advisor andthe support received from this advisor. Some of these factors are productivity, self-efficacy, andcommitment. The second category, Student experience, grouped the factors related to theExpectancy Value Theory [8], such as the perceived cost, the intrinsic and extrinsic motivation,and the sense of belonging. The Faculty-Student interaction refers to factors that come from thefaculty professors, besides the advisor. The latter category includes factors such as receivingadvice, mentorship, or special attention from a professor. Finally, the academic support categoryincluded factors that are related to the institution, for example, participation in research projectspreviously
- Conference Session
- First-Year Programs Division (FYP) - WIPS 2: Advising & Mentoring
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Sophia T. Santillan, Duke University; Linda P. Franzoni, Duke University; Stacy L. Tantum, Duke University
- Tagged Topics
- Diversity
- Tagged Divisions
- First-Year Programs Division (FYP)
.” American Educational Research Journal, vol. 29, no. 3, pp. 663–676, 1992.[7] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016.[8] B. W. Smith, J. Dalen, K. Wiggens, E. Tooley, P. Christopher, and J. Bernard, “The Brief Resilience Scale: Assessing the Ability to Bounce Back.” International Journal of Behavioral Medicine, vol. 15, no. 3, pp. 194—200, 2008.Appendix A: Survey InstrumentPart 1: Please read the following 12 statements regarding advising functions and select the mostrelevant response option from the 6-point scale in the drop-down box to indicate
- Conference Session
- Engineering Design Graphics Division (EDGD) Technical Session 2
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Aaron C. Clark, North Carolina State University at Raleigh; Erik Schettig, North Carolina State University at Raleigh; Jeremy V. Ernst, Embry-Riddle Aeronautical University - Worldwide; Daniel P. Kelly, Texas Tech University
- Tagged Topics
- Diversity
- Tagged Divisions
- Engineering Design Graphics Division (EDGD)
. Students access the active learning modules through an online learning managementsystem. Modules consist of ten units that engage students through relatable examples andpractices of foundational principles and applications of engineering graphics. The team took self-efficacy and academic success measurements, which were then analyzed using paired t-tests. Results support previous findings that there are significant differences in self-efficacyand academic success, including students' mental rotation abilities, when instructors providesupplemental materials. The data also supports that students at risk of non-matriculation benefitfrom the combination of active learning modules and additional video tutorials in the realms ofself-efficacy
- Conference Session
- First-Year Programs Division (FYP) - Technical Session 10: Identity & Belonging 2
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Syahrul Amin, Texas A&M University; Miriam Marie Sanders, Texas A&M University; Aaron E. Kidd, Texas A&M University; Karen E. Rambo-Hernandez, Texas A&M University
- Tagged Topics
- Diversity
- Tagged Divisions
- First-Year Programs Division (FYP)
within thefirst two weeks of class and the post-survey was administered two weeks before final exams.MeasuresThere were three items measuring outcome expectations for engineering adapted from Lent et al.[13], six items measuring intentions to stay in engineering adapted from Lent at al. [13], threeitems measuring self-efficacy adapted from Lent et al. [13], and five items measuringengineering identity adapted from Chemers et al. [33] & Estrada et al. [34]. Table 1 provides thesample survey items for all four surveys used in this study. Table 2 provides the summary ofdescriptive statistics of continuous predictors and categorical variables. The Cronbach’s alphacoefficients across all subscales were also estimated with values ranging from 0.85
- Conference Session
- Student Experiences and Development – Session 1
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Maham A Godil, Purdue University West Lafayette; Jennifer Deboer, Purdue University at West Lafayette (COE); Dhinesh Balaji Radhakrishnan, Purdue University at West Lafayette (COE)
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
in our courses to see students' attitudes towardengineering and analyze the engineering course progress.As the assessment team (authors), we develop new learning models and assessment methodsspecifically tailored to the LED program. These methods allow us to measure the effectivenessof the program in promoting engineering understanding and attitudes among students. Byanalyzing the results of our assessments, we provide instructors and researchers with valuableinsights into how the LED program can be improved and how it compares to other engineeringeducation programs. We are particularly interested in examining the influence of the LEDprogram on students' self-determination, motivation, and self-efficacy, as these factors haveshown to be
- Conference Session
- Women in Engineering Division (WIED) Technical Session 7
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Macarena Becerra-Cid; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile
- Tagged Topics
- Diversity
- Tagged Divisions
- Women in Engineering Division (WIED)
29 8.8 Total 328 100.0B. SurveyThe measurement instrument was built out of other investigations having a similar purpose tothat of this work [6, 22-26]. This version of the instrument included more statements thatenabled further probing on student sense of belonging, in its various aspects, such as social,academic and general interactions within the institution; given that the other investigationsplaced their emphasis on items more related to other factors, such as self-efficacy, identity,attitudes, behavior, among others, and secondly, with fewer probing on items relating to asense of belonging. During the survey validation process, a Cronbach's Alpha of 0.878 wasattained
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Robert Petrulis; Sona Gholizadeh, University of South Carolina; Ed P Gatzke, University of South Carolina
- Tagged Topics
- Diversity
belonging and self-efficacy items were adapted from a study on the self-efficacy of women engineering students and a dissertation (Marra et al., 2009; Jordan, 2014). Identity, teamwork self-efficacy, and community involvement items were adapted from a study that investigated how underrepresented students’ self-efficacy and identity impact their science career commitment (Chemers et al, 2011). Items about college life experience were adapted from the National Survey of Student Engagement (Kuh et al., 2011). The six factors we measured are as follows: ● Self-efficacy: Confidence in the participant’s own ability to complete a degree and succeed in an engineering or computing career. ● Sense of belonging: Feeling part of the engineering or
- Conference Session
- Design in Engineering Education Division (DEED) Technical Session 14
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Texas A&M University; Lance Leon Allen White, Texas A&M University; Kerrie A. Douglas, Cornell University; Karan Watson P.E., Texas A&M University; Tracy Anne Hammond, Texas A&M University
- Tagged Topics
- Diversity
- Tagged Divisions
- Design in Engineering Education Division (DEED)
SketchTivity?A Drawing Self-Efficacy Instrument was used to measure the pre and post self-efficacy of studentswho practiced using SketchTivity[25]. The instrument consisted of 13 items and the average ofdrawing self-efficacy score was calculated for each student.B. ParticipantsThe participants in this study consisted of undergraduate and graduate students enrolled in fourcourses at three different institutions. Out of a total of 138 students enrolled in three courses atthree institutions, 137 students responded to Q1 and Q2; 109, 88, and 65 participants respondedTable 1: Demographics of the participants Participant demographcis Percentage Men 76.09% Women 18.84% First-generation 10.14
- Conference Session
- Experimentation and Laboratory-Oriented Studies Division (DELOS) Technical Session 5: Lab Design
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- David L Simpson, Wentworth Institute of Technology
- Tagged Topics
- Diversity
- Tagged Divisions
- Experimentation and Laboratory-Oriented Studies Division (DELOS)
) framework to provide undergraduate students with morepractice in tissue characterization. The framework involves structuring a multi-week lab thatintegrates theoretical foundations, bioinstrumentation background, experimental design, and dataanalysis. The goal of the framework is to enhance lab-based learning by providing opportunitiesfor students to incorporate multiple levels of Blooms Taxonomy. By consolidating theseopportunities into a multi-week module, we hypothesized that students would experience morereinforcement and thus self-efficacy with these experimental methods. For this study, we focusedon the development of a TDA module to measure apoptosis in tissue constructs using real-time,reverse transcription polymerase chain reaction (RT-PCR
- Collection
- ASEE Zone 1 Conference - Spring 2023
- Authors
- Buket D Barkana, University of Bridgeport; Ioana A. Badara, University of Bridgeport; Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ausit Mahmood, University of Bridgeport
- Tagged Topics
- Diversity
theiracademic growth and development in science-related fields and a transformation of identity from student toprofessional, thereby promoting field-specific self-efficacy [9,10]. To date, undergraduate students were invited tocomplete the engineering design self-efficacy (EDSE) instrument to evaluate their engineering self-efficacy levels.The EDSE instrument will be used again at the end of the academic year to monitor students' engineering self-efficacychanges during their course participation. This 36-item questionnaire has been designed to measure students' self-concepts toward engineering design tasks [20]. It assesses four areas related to engineering identity development: self-efficacy, motivation, expectancy, and anxiety. Our students showed
- Conference Session
- Student Division (STDT) Technical Session 5: Motivation and Support for Success
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- D'Andre Jermaine Wilson-Ihejirika, University of Toronto, Canada; Qin Liu, University of Toronto, Canada; Joanna Meihui Li, University of Toronto, Canada; Mustafa Nisar, University of Toronto, Canada; Jiawen Lin, University of Toronto, Canada
- Tagged Topics
- Diversity
- Tagged Divisions
- Student Division (STDT)
SystemsTheory recognizes that variation in individuals’ development “exists across time within contexts,and across contexts within time;” as a result, “differences in time and place constitute vitalcontributors to plasticity across the life span” [13]. Given the variations by time and place, weexpect a diverse range of pathways of individuals who are on their way to the engineeringprofession.The Social Cognitive Career Theory (SCCT) [14] posits that one’s learning experiences caninfluence their self-efficacy and outcome expectations, which in turn influences their interests,goals and, ultimately, career choice actions; these learning experiences are affected by personinputs (such as predispositions, gender and race) and contextual affordances (such as