Self-Efficacy and Demographics of Makerspace Participants Across Three Universities,” Journal of Mechanical Design, vol. 142, no. 10, Oct. 2020, doi: 10.1115/1.4046649.[6] J. A. Marin, J. E. Armstrong, and J. L. Kays, “Elements of an Optimal Capstone Design Experience,” Journal of Engineering Education, vol. 88, no. 1, pp. 19–22, Jan. 1999, doi: 10.1002/j.2168-9830.1999.tb00405.x.[7] A. R. Carberry, H. S. Lee, and M. W. Ohland, “Measuring engineering design self-efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010, doi: 10.1002/j.2168- 9830.2010.tb01043.x.[8] E. Kames, D. Shah, M. Clark, and B. Morkos, “A Mixed Methods Analysis of Motivation Factors in Senior
in their capabilities of using CAD software. Therefore, there iscurrently a lack of research investigating how students develop self-efficacy in relation to CADprior to their undergraduate degree.As there currently does not exist a validated scale to measure CAD self-efficacy, in this paper,we explore the related concepts of undergraduate engineering students’ initial 3D Modeling andEngineering Design self-efficacy before formal CAD instruction at the university level.Bandura’s Theory of Self-Efficacy suggests there are four main sources of self-efficacy: masteryexperiences, social persuasion, vicarious experiences and physiological states [1]. Therefore, weaim to answer the question: “What prior CAD learning experiences influence
. ©American Society for Engineering Education, 2025 Design Curriculum in Introductory Circuits Laboratory Assignments and the Influence on Innovation Self-EfficacyAbstractThis paper examines the impact of integrated design elements in a second-year introductorycircuits course on students’ innovation self-efficacy (ISE). Building upon a pilot study fromSpring 2024, this research focuses on the implementation of updated laboratory assignments inone section of the course while maintaining the original curriculum in a parallel section. Theupdated curriculum emphasizes experiential learning through active learning engagement,simulation exercises, open-ended design challenges, and reflection. This allows students tonavigate the full
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
their engineering workplace. DEIconcepts can be incorporated in first-year engineering curriculum to enhance student design andexposure to diverse cultures during this unique design for additive manufacturing (DfAM)teaching module. This paper describes the development of a DfAM workshop that incorporateshistorical and cultural themes. Students’ perception of the design experience will be measuredusing an engineering self-efficacy validated tool, pre- and post-workshop survey, and measureddesign outcomes (CAD model) after engaging in a DfAM workshop. The workshop uses activitiesguided by the Kern Engineering Entrepreneurial Network (KEEN) framework which includescuriosity, connections, and creating value. The workshop introduces the
. Three research questions are asked:RQ1: How does student STEM SC relate to their design performance in parametricbuilding design? In this study, “design performance” refers to the ability of students to generatesolutions that have good performance in quantitative metrics such as low energy usage. Previousresearch shows that student self-efficacy and performance are positively related both outside ofSTEM [11] and in STEM [12]. However, this study evaluates performance specifically in abuilding design exercise with quantitative goals that are simulated within a parametric designtool. This relationship can reflect potential student effectiveness in technical building design, butit does not fully reflect student behavior. The extent of their
And Technology Freshmen. In 2003 Annual Conference (pp. 8-186).[7] Knight, D. W., Carlson, L. E., & Sullivan, J. F. (2007, June). Improving engineering student retention through hands-on, team based, first-year design projects. In Proceedings of the International Conference on Research in Engineering Education.[8] Michael, J., Booth, J., & Doyle, T. E. (2012). Importance of first-year engineering design projects to self-efficacy: Do first-year students feel like engineers?. Proceedings of the Canadian Engineering Education Association (CEEA).[9] Seth, D., Tangorra, J., & Ibrahim, A. (2015, October). Measuring undergraduate students' self-efficacy in engineering design in a project-based
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
Structure How peer mentors Fostering Learning, Supporting Self-Efficacy, Familiarity of the Space/Tools, helped develop Supportive, Encouraging, Creating Common Identity, They did not, Limited to confidence in ability No Interaction, Building Self-Reliance, Growth Mindset, N/A, no conflicts, to do engineering. Offered Explanations, Predictable What peer mentors Positive Statements of Current PM Support, No improvement, N/A, Limited/No could have helped interaction, More information about clubs/activities/resources, Share more with to make others Experience, Promptness/Availability/Accessibility, Had no impact More feel more a part of interactions, More conversations unrelated to project/task -deeper
such influence can be the major a student is pursuing[19]. Along with varying by year of study, another study showed that the motivation of studentsis not stagnant but evolves throughout their time studying, with some motivation factorsbecoming more important than others [3]. There are multiple questionnaires that investigate themotivation of students, for this study the MSLQ is utilized.The MSLQ is a self-assessment questionnaire utilizing a Likert scale, rating a list of questions ona scale of “not true to me” to “very true to me.” This study specifically views five motivationfactors, which are gathered using this questionnaire: cognitive value, self-regulation, anxiety,intrinsic value, and self-efficacy. Cognitive value describes the
understanding thatmay be necessary for success in senior design without more prior exposure. Finally, it has beenreported that involvement in makerspaces, whether in a voluntary or class required settingsignificantly helped students' motivation and confidence (engineering design self-efficacyscores) [7]. This course was therefore intended to provide increased exposure to a variety ofmaker skills with an anticipated boost in self-efficacy leading to greater success in theirformation as engineers.Additional pedagogical foundation for this approach is to be found. There is experience with thepositive results from robotics competitions across many ages and formats. For example, theTrinity College Fire-Fighting Home Robot Contest promotes skills of design
makerspacescan be found in the news as the source of the next manufacturing revolution [6].Makerspaces as a locus for design learning is a topic that has received extensive attention. Thetheory of maker education relates to many educational frameworks, including Piaget’sconstructivism theory [7], the Situated Learning Model [8], and Community of Practice [9], allof which have been applied to understand learning in a makerspace [10]. The style of learningand appropriate frameworks depend highly on the type, location, and use of a makerspace.Experience working in a makerspace improves creativity [11], collaboration in diverse teams[12], design self-efficacy [13], and technical skills used in industry [12]. Agency is an importantcomponent of a makerspace
beginning and end of the semester. The initial reflection assessed theirbaseline engineering self-efficacy, prior experience in global health, and motivation for enrollingin the course. The final reflection examined how their views on global health, engineering, and thedesign process have changed over the course of the semester (see Appendix 1 for details).We have deductively analyzed these reflections through direct content analysis with predeterminedcodes aligned with the course objectives and research objectives. Namely, we looked to identifykey shifts in students' understanding of their roles as engineers, their approaches to global healthchallenges, and their engineering self-efficacy. Coding and analysis were completed in NVivo v14
rural children includes recognizing the importance ofconnecting the students’ experiential habitats in their engineering learning and for their sense ofself-development [24]. Similarly, in the LED program, a priority in the curriculum is to supportstudents’ engineering identities and their self-efficacy related to science and engineering.In Practice: Our Work Thus Far for 2D/3D Modeling Curricula DevelopmentDeBoer Lab and partners are collaborating in designing an assessment to recognize the priorskills of the students in their ability to communicate ideas for 2D/3D modeling and prototyping.This assessment would support future work in designing a curriculum with activities for studentsto aid their engineering problem-solving process with 2D/3D
2023,shortly after they completed their respective interventions.SurveysTo understand the interventions’ impact on sense of belonging and engineering identity, programparticipants responded to a retrospective pre- and post-questionnaire that combined two validatedsurvey instruments: Godwin’s [9] engineering identity scale and Hanauer et al.’s [11] measure ofpersistence in the sciences (PITS). The PITS combines five other validated instruments thatmeasure project ownership-emotion, project ownership-content, science identity, self-efficacy,scientific community values, and networking on a five-factor scale. These variables have beenshown to predict psychological factors that influence students’ intent to stay in science andengineering
for student reflection and have achieved some level ofintegration and/or embedding into a program [15]. These open-ended events were intended tobuild intrinsic motivation in students through the three mechanisms identified in self-determination theory (viz. satisfying the needs for competence, relatedness, and autonomy) [9]by developing student self-efficacy in engineering design, introducing them to their discipline,classmates, and instructors, and connecting their classroom learning to real-world problems.The event described in this paper is similar to the concept of “designettes” but was of longerduration at 12-16 hours of student contact time [18], and focussed on the latter implementationphases of design, with correspondingly less
Paper ID #42725Board 68: Integration of Learning by Evaluating (LbE) within the 5E InstructionalModel in Engineering-Design EducationDr. Wonki Lee, Purdue University Wonki Lee received a Ph.D. in Education, Curriculum Instruction, Language and Literacy at Purdue University. She received her bachelor’s and master’s, specializing in Korean language education as a second/foreign language, from Seoul National University, South Korea. Her research interests are self-efficacy, culturally responsive teaching, and machine learning in a diverse educational setting.Prof. Nathan Mentzer, Purdue University Nathan Mentzer is a
, while later modules build in complexity to focus on integrating these newfoundskills and knowledge. Within each week’s module, learning also builds towards articulatedlearning goals made known to learners via a Canvas Overview and Wrap-up, agendas during in-class activities, and (light) assignment rubrics. The repeated weekly structure creates a familiartempo that fosters both learner and student-teacher self-efficacy, guiding learners while theybuild up their engineering project portfolios. We provide examples of the Canvas LearningManagement System artifacts in the figures below. Figure 1: Canvas depiction of the full course module structure of two First Year Design offerings, as designed by student- teachers: Intro to Cybersecurity (Left
developed by the research team to assess the effect of the course on self-efficacy as well as their interests in STEM, design, and robotics; while the university-administered evaluation is the standardized course evaluation that are conducted for all coursesacross campus. The objective of the university-administered evaluation is to gather feedbackfrom students regarding their learning experiences, the effectiveness of the instructor, and theoverall quality of the course. The evaluation serves as a valuable tool for the instructor andadministrators to assess teaching methods, identify areas for improvement, and make informeddecisions about curriculum development and faculty performance. The anonymous university-administered course evaluation was
suspect. Eliminating them from consideration does not alter the generalfindings. Finally, effect sizes were calculated (r values in Tables A3 to A8). These“measure…the closeness of association of the points in a scatter plot to a linear regression line”[27] and are associated with a scale categorizing the closeness of association (e.g., noassociation, very weak, weak, etc.) [27, 28]. While findings are discussed using p values, acommon practice in presentation of pre- and post-instruction measures of educationalinterventions, it is the r values that were used to interpret the patterns and arrive at the study’sconclusions.Persistence and graduation rates of native students and those who transferred to the institutionwho had completed one of the
]. Moreover,students with mental and physical disabilities are more likely to report incidents of socialmarginalization and devaluation of professional capabilities [10]. Lezotte et al. explored the“otherness” experienced by students with disabilities and its impact on their sense of self-efficacy, belonging, and engagement in engineering [7].In comparison to the growing bodies of research reporting the experiences of other minoritygroups in engineering, such as gender and race minorities, research pertaining to the experiencesof people with disabilities remains relatively limited [10], [11]. Spingola reported a persistinggap in exploring the intersection of disability experiences and engineering education in ASEEproceedings [12]. Over the past