engineering courses, and the applicability of course content to real-worldchallenges. However, students did not report substantial gains in learning outcomes specificallyrelated to data science. Encouragingly, students also reported increased self-efficacy, includinggreater enthusiasm for engineering and a stronger willingness to seek academic support frompeers and instructors.RQ2: To what extent did students find the learning activities helpful to their learning?All respondents (100%) indicated that the laboratory experiments provided either “much” or“great” help to their learning. Feedback on their work was also rated highly, with two-thirds ofstudents ranking it as a major contributor to their understanding. Among all instructionalmethods
pilot study will ultimately culminate in two surveys and one interview protocolintended for use in future EMPOWERS work to measure changes in graduate students'perceptions of personal well-being, self-efficacy, and inclusion. Additionally, the long-lastingeffects of this program and study aim to provide practical and holistic mentoring training forboth faculty and graduate students broadly throughout STEM.IntroductionResearch indicates that graduate student attrition rates are a rapidly growing concern [1], [2].Moreover, current calls for systematic change in graduate studies are widespread [3]. Severalreasons are given for this phenomenon, including increased mental health challenges, lack ofcareer planning and development, and ineffective
, Economics and Ethics, Engineering Thermodynamics,Electrical Circuits, Fluid Mechanics, and Material and Energy Balances. Students are madeaware of SI sessions by the class instructor. SIs often attend classes and make an effort to bevisible. The SI program has contributed to the increased 4-year graduation rate of 22% andincreased 6-year graduation rates of 17% over the past 10 years. The persistence from first yearto second year in the College has increased 11% over the past 12 years. Upon further studies,there were increased concerns in correlating students' academic performance to SI sessionattendance. Research links students’ success to their science identity and self-efficacy [10].Science identity pertains to a dynamic perspective of oneself
prototyping, designthinking, and peer-to-peer mentorship [17], [18]. Studies show that regular engagement inmakerspaces can increase students’ self-efficacy, technical proficiency, and motivation acrossvarious engineering and non-engineering domains [5]– [9].One emerging model is the student-run workshop, wherein trained student instructors delivertopic-specific sessions on tools (e.g., laser cutting, electronics) or processes (e.g., designthinking, prototyping). Such workshops potentially reduce faculty load, encourage agencyamong student leaders, and introduce newcomers to a wide range of technologies [7]. Althoughprior research has linked makerspace use to skill growth and confidence-building, relatively fewstudies have examined how these
LearningStrategies Scales.Within the MSLQ, intrinsic motivation, extrinsic motivation, self-efficacy for learning andperformance, time and study management, peer collaboration with academic help seeking wasadapted to measure student’s engagement and participation.Data Collection and AnalysesA mixed methods research approach (both quantitative and qualitative data) were used, surveyresults from 33 International Graduate Engineering Students at an HBCU show a generallypositive response regarding diversity, inclusiveness, and engagement, the open ended questionsand qualitative interview also helps to highlight some of the existing strategies in place andsuggests notable areas for improvement.Quantitative Data CollectionBy utilizing these validated instruments
instrument was used inthis study to measure students’ perception of flow in the VADER experience.III. Research QuestionsOverall, flow, which entails absorption and fluency, is being used as an indicator of students’engagement in VADER-1. Engagement in VADER-1, as per the MDL, may lead to greater self-efficacy and situational interest which may aid in students’ transition from acclimation to earlycompetence. Further, an increase in self-efficacy and interest, according to MDL, may lead tochoices to pursue or be retained in AE/C. This study focuses on students’ self-reported flow inVADER-1 and an exploration of specific variables that might explain patterns in students’ flow.The primary research questions were: 1. What are the patterns in students
modest, implying that encountering and overcoming real-data challengesreinforces students’ self-efficacy. In our course, even when some project results were imperfect,students gained assurance that they could approach complex, messy problems – an outcome alsoemphasized by educators advocating for realism in data science education. Addressing real-worldcomplexity (e.g. missing data, noisy measurements) in a supportive classroom setting helpsvalidate students’ abilities; acknowledging and working through data challenges can help renew astudent’s confidence in applying their knowledge 23 . By the end of the term, open-ended feedbackfrom our participants frequently mentioned confidence –“I feel more prepared to analyze realdatasets on my own
use.References[1] B. J. Laugelli et al., “Work in Progress: A Novel Two-Semester Course Sequence that Integrates Engineering Design, Sociotechnical Skills, Career Development, and Academic Advising,” presented at the 2024 ASEE Annual Conference & Exposition, Jun. 2024. Accessed: Jan. 13, 2025. [Online]. Available: https://peer.asee.org/work-in-progress-a-novel-two-semester-course-sequence-that-integrates-engineering- design-sociotechnical-skills-career-development-and-academic-advising[2] W. H. Guilford, “A Skills-focused Approach to Teaching Design Fundamentals to Large Numbers of Students and Its Effect on Engineering Design Self-efficacy,” in Proceedings of the 2017 ASEE Annual Conference and Exposition, Jun. 2017. Accessed: Mar
self-efficacy (confidence in their adaptability and needed know-how), interpersonalcommunication, and leadership skills [7]. Somewhat counterintuitively, receiving information 2and cognitive support from peers was not as effective as the social support that students receivefrom peers [5].Impacts on retention appear to occur primarily through the social benefits of voluntary actions,such as peer mentoring. For example, one study found that student mentors described threecategories of benefits - relational knowledge, greater self-awareness, and development towardcareer goals [8]. Peer mentored students feel a greater sense of connection with their university,and interconnectedness among
, 2011, doi: 10.5703/ 1288284314639.[13]M. Perkins Coppola, “Preparing preservice elementary teachers to teach engineering: Impact on self‐efficacy and outcome expectancy,” Sch. Sci. Math., vol. 119, no. 3, pp. 161–170, Mar. 2019, doi: 10.1111/ssm.12327.[14]J. Radloff and B. M. Capobianco, “Investigating Elementary Teachers’ Tensions and Mitigating Strategies Related to Integrating Engineering Design-Based Science Instruction,” Res. Sci. Educ., vol. 51, no. S1, pp. 213–232, Sep. 2021, doi: 10.1007/s11165-019-9844-x.[15]B. M. Capobianco, J. Radloff, and J. D. Lehman, “Elementary Science Teachers’ Sense-Making with Learning to Implement Engineering Design and Its Impact on Students’ Science Achievement,” J. Sci. Teach. Educ
groups in STEM fields, particularly engineering,presents persistent challenges in education and the workforce. HMG students often face uniquebarriers that hinder their learning experience, such as unwelcoming classroom environments,limited mentorship opportunities, and a lack of belonging and community. These disparitiescontribute to lower retention rates and confidence levels compared to NHMG students.This study evaluates the impact of our junior-level clinical immersion course on HMG andNHMG students. Surveys were conducted pre- and post-course to gather students' perspectives,focusing on skill development, self-efficacy, and perspectives on healthcare disparities.Quantitative results indicated significant gains in confidence and skill
andGirls: A Study of Algorithm Design and Debugging (Work-In-Progress)IntroductionComputational thinking (CT) is widely recognized as a core skill for 21st-century learners,essential for success in STEM fields. Despite efforts to promote STEM education, genderdisparities persist, with women underrepresented in these fields. Scholars recommend earlyexposure to CT concepts in K-12 education to foster equity and inclusion [1]-[4]. Factorsinfluencing the gender gap include cultural stereotypes, limited computing experience, andunequal treatment, leading to negative self-efficacy [5]-[8]. Positive engagement in STEMduring early childhood can significantly influence long-term interest and participation. Whileseveral studies have examined girls
. 2022, doi: 10.1080/08923647.2022.2029090.[7] K. Malanson, B. Jacque, R. Faux, and K. F. Meiri, “Modeling for Fidelity: Virtual Mentorship by Scientists Fosters Teache r Self-Efficacy and Promotes Implementation of Novel High School Biome dical Curricula,” PLoS ONE, vol. 9, no. 12, p. e114929, Dec. 2014, doi: 10.1371/journal.pone.0114929.[8] V. Minces, A. Khalil, and A. Booker, “Listening to Waves: Engaging Underrepresented Students Through the Science of Sound and Music,” Connect. Sci. Learn., vol. 3, no. 4, Jul. 2021.[9] E. Chow, L. Li, N. Akshay, A. Barron, S. Yonezawa, and V. H. Minces, “Improving Teachers’ Attitudes Toward Sound and Waves Through the Connections with Music,” in 2024 ASEE Annual Conference &
/10.1080/17439760.2019.1651889Tang, H., Gumina, S., & Wang, S. (2021). Building design thinking into an authentic Internet of Things instruction. 2021 Tenth International Conference of Educational Innovation through Technology (EITT), 24–27. https://doi.org/10.1109/EITT53287.2021.00014Tsai, M.-J., & Wang, C.-Y. (2021). Assessing young students’ design thinking disposition and its relationship with computer programming self-efficacy. Journal of Educational Computing Research, 59(3), 410–428.Wang, B., Zheng, P., Yin, Y., Shih, A., & Wang, L. (2022). Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective. Journal of Manufacturing Systems, 63, 471–490
; the first-year retention rate inthe College of Engineering went up from 62.5% in 2007 to 76.7% in 2023. While supporting thecollege, students are the center of FEP’s mission. We regularly reassess our program’s missions,student outcomes, content, and delivery methods to meet the evolving needs of the first-yearengineering students. Implementation of project-based learning in the introductory engineeringcourses support several of our essential student outcomes such as demonstrate critical thinkingand problem solving, develop self-efficacy, work effectively with others, and decide engineeringmajor with confidence.Research on project-based learning in engineering courses has indicated gains in studentmotivation, engagement, and interest in
strong EM as recognizedthroughout the literature [41], [42], and a crucial element of translational research [6], [15]. Allstudents were able to reflect on this, but it is possible that the eREU students were more focusedon experiences they deemed directly beneficial to their future career goals. Research indicatesthat students with higher entrepreneurial self-efficacy tend to feel more inclined toentrepreneurial-focused careers [43], [44]. Since students in the eREU program were exposeddirectly to entrepreneurship interventions during the summer, including customer interaction andinteraction with mentors who were practicing entrepreneurs, it is possible they were influencedtoward a higher entrepreneurial self-efficacy [45], thus focusing their
greater sense of belonging in an active classroom environment. Finally, in the context of quantum engineering, a field where women and certain minoritygroups are often underrepresented, experiential learning opportunities may be particularlyimpactful. Hands-on projects and labs can boost students’ confidence and identity as emergingscientists or engineers. Research on undergraduate research programs (which are a form ofexperiential learning) supports this: studies have found that when students from underrepresentedbackgrounds participate in authentic research or lab experiences, their self-efficacy in STEMincreases and their aspirations for STEM careers grow. For instance, a program documented byCarpi et al. showed significant gains in
around the test 3. After gaining IRBapproval, students could choose to complete the survey for 1-point of extra credit. If students didnot want to complete the survey, they could choose an alternative assignment that is equivalent tothe same amount of time and effort. In doing so, we were able to include responses of those whochose to respond to the survey (Table 1). Questions regarding perceptions of multiple attemptswere created by the professor on a scale from 1-5 (strongly disagree to strongly agree) to furtherdevelop best practices and identify the perceived efficacy of MAT in a course providing PBH(Table 1). Self-reported motivation was investigated through the lens of self-efficacy, or the beliefthat a student is able to accomplish the
challenges and hinder their path to persistence anddegree completion.Despite these obstacles, FGS who persist in engineering and STEM fields do so through personalagency [9], motivation [9], self-efficacy [10], [11], and both familial [9], [12], [13] andinstitutional support [9], [13], [14]. The importance of support networks is evident, as parentalsupport has been shown to predict student engagement, and strong familial relationshipscontribute to the willingness to seek mentors and other forms of support in college [12]. A senseof belonging is also crucial for persistence. Smith and Lucena [15] found that first-generationand low-income students often experience a lack of belonging in engineering, compounded byawareness of perceived differences from
alignment with the Michigan Teacher Leader Preparation Standards [9]. Theproject also seeks to align Fellows’ teaching practices with the Next Generation ScienceStandards [10]. Evaluation data sources will include annual leadership knowledge/self-efficacy[11]; NGSS teaching practice surveys [12]; and annual interviews focused on leadershipopportunities, program experiences, program strengths, and areas for improvement. Additionally,micro-teaching observations will be conducted and Fellows’ participatory action researchprojects and classroom artifacts will be collected and assessed using rubrics. These data will helptriangulate the survey data to determine the extent that Fellows are growing in teacher leadershipand NGSS aligned teaching. Project
Paper ID #48016PEER HELPER (Peer Engagement for Effective Reflection, Holistic EngineeringLearning, Planning, and Encouraging Reflection) Automated Discourse AnalysisFrameworkyilin zhang, University of FloridaDr. Bruce F. Carroll, University of Florida Dr. Carroll is an Associate Professor of Mechanical and Aerospace Engineering at the University of Florida. He holds an affiliate appointment in Engineering Education. His research interests include engineering identity, self-efficacy, and matriculation of Latine/x/a/o students to graduate school. He works with survey methods and overlaps with machine learning using
and 17 identified as male.There were 5 Asian students, 14 Hispanic, 1 African American, 1 that selected two or moreraces, 1 International, 17 White, and 3 students that did not select a race. Twenty-four of thestudents requested a scholarship to pay for the cost of the program.Badger Engineering Start (BEST) Program DesignFor students to persist in engineering they need to have a sense of self-efficacy and belonging[20]. To address these needs, as well as fill in gaps in students’ mathematics knowledge, theBEST Program was created as a multi-faceted approach to a bridge program with the goals ofmath and study skills review, facilitating a sense of belonging, preparing students for universityacademics, and increasing persistence and graduation
Paper ID #47703The Influence of Elementary School Teachers’ Social Capital on First-YearEngineering Students’ Major Selection: A Comprehensive Analysis of K-12Educator ImpactMrs. Holly Trisch, Mississippi State University Holly Trisch is a Ph.D. candidate in the Department of Engineering Education at Mississippi State University and a professional civil engineer with over six years of industry experience in various engineering disciplines, including transportation engineering. As she transitions into academia and engineering education research, her work focuses on understanding the self-efficacy of K-12 educators, including
collaborative groups provides cognitivebenefits and deepens conceptual understanding given opportunities to explain, question, justify,and negotiate, with benefits for learning and achievement outcomes” [4]. These activities enhancestudent engagement and interest to pursue STEM, helping students envision themselves in STEMcareers and increase their self-efficacy [5]. Successful projects depend on the interest andenthusiasm of team members and on effective team building [6]. Understanding how minoritizedstudents participate in groups reveals team dynamics, interactions, and any challenges thatminoritized students face in collaborative group activities.We lean on a conceptual framework to categorize types of discourse actions withing collaborategroup
used a mixed methods research or design-based research approach,and two papers were literature reviews. Furthermore, research frameworks utilized by researchpapers focused on coops or cooperative education included: 1. Engineering identity 2. Motivation theory 3. Self-efficacy 4. Mental HealthFinding 2: Learning and Skill Development The second major finding from our review is that there were many descriptive andresearch papers focused on learning, most of which focused on students’ learning and skilldevelopment of professional skills. The most common professional skills discussed included:communication, leadership, engineering ethics, time management, and general workplaceknowledge. In contrast, there was only one
educationalsettings," Journal of Applied Psychology, vol. 28, no. 3, pp. 211-224, 2022.[13] B. Cook-Chennault and V. Villanueva, "Student anxiety in competitive educational games,"Educational Psychology Review, vol. 42, no. 1, pp. 83-95, 2020.[14] A. Cook-Chennault and V. Villanueva, "Inclusive game design in engineering education,"Journal of Diversity in Higher Education, vol. 19, no. 2, pp. 105-118, 2020.[15] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, “Women Engineering Students and Self‐Efficacy: A Multi‐Year, Multi‐Institution Study of Women Engineering Student Self‐Efficacy,” J.of Engineering Edu., vol. 98, no. 1, pp. 27–38, Jan. 2009, doi: 10.1002/j.2168-9830.2009.tb01003.x.[16] M. A. Hutchison, D. K. Follman, M. Sumpter, and G. M. Bodner
elevate their self- awareness, confidence, and self-efficacy (Self) SELF-REPORT Fellows Pre-Survey Fellows Post-Survey IFellows Post-Survey II OBSERVATIONAL Coaches Pre-SurveyCoaches Post-Survey I Strongly Disagree Disagree Neither Agree or Disagree Agree Strongly Agree LO4: Fellows use a variety of tools and approaches to foster positive relationships (Relational) SELF-REPORT Fellows Pre-Survey Fellows Post-Survey IFellows Post-Survey II OBSERVATIONAL Coaches Pre-SurveyCoaches Post-Survey I Strongly Disagree Disagree Neither Agree or Disagree Agree Strongly Agree LO5: Fellows collaborate with others to
service-learning design experiences significantly impact theidentity and self-efficacy of women and minority students when compared to Caucasian males.In addition to these educational benefits, CEL is also effective in developing the interculturalcompetence of the participants (Campus Compact, 2017 Palpacuer-Lee & Curtis, 2017, Walters&Nwagwu, 2019).Creating Equitable and Inclusive STEM ClassroomsIt is well established that a strong and diverse Science, Technology, Engineering andMathematics (STEM) workforce is critical to the United States (US) economy, national securityand the health and well-being of our nation and world. STEM professionals drive innovation andtechnological advancements that fuel economic growth and global
. 27–41. [6] Dastyni Loksa, Amy J. Ko, Will Jernigan, Alannah Oleson, Christopher J. Mendez, and Margaret M. Burnett. 2016. Programming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 1449–1461. https://doi.org/10.1145/ 2858036.2858252 [7] Wan Nor Afiqah Wan Othman and Aziman Abdullah. 2018. Assessing self-efficacy and college readiness level among new undergraduate students in computer science using metacognitive awareness inventory (MAI). IOP Conference Series: Materials Science and Engineering 342, 1 (apr 2018
greatest impact on students’ achievement [17], [18]. Astudent’s motivation plays a strong role in their academic success by serving as the impetus for theirengagement in learning activities [19]. According to Driscoll, a student’s motivation is comprised oftheir curiosity, interest, goals, and self-efficacy beliefs when making choices to engage in a learningactivity [20]. Motivated students tend to engage with class content for extended periods of time,demonstrate more persistence, and achieve higher levels of learning than students who are lessmotivated [21], [22]. Furthermore, Fong et al. suggest that students with higher motivation moreactively engage in the learning process and are more likely to achieve desired learning outcomes[23]. On the