scale was employed to measure students' self-efficacy in engineering tasks. Thisinstrument assesses various dimensions of engineering self-efficacy, including students’confidence in their ability to succeed in engineering courses, solve technical problems, andpersist in their engineering studies [15]. The assessment of engineering self-efficacy amongstudents will be focused on several constructs, each measured through specific items that providea comprehensive understanding of students’ confidence and perceived abilities within the field ofengineering, including Factor1: Engineering Self-Efficacy, Factor 2: Engineering CareerExpectations, Factor 3: Sense of Belonging, and Factor 4: Coping Self-Efficacy.Computer Programming Self-Efficacy Scale
psychosocial needs of the students, with statements such as “My advisor takes aninterest in my well-being and life-work balance,” and “My advisor provides emotional supportwhen I need it.” Finally, TSE is our dependent variable and is measured by the Thesis Self-efficacy factor, measured on a confidence-anchored Likert scale and includes items that deal withthe various skills surrounding the completion of a terminal document.Participants and InstitutionsWhile our focus is set on the experiences of Latin* engineering graduate students, our surveywas open to students of all racial and ethnic backgrounds. The target population could bedescribed as engineering graduate students enrolled in master’s and doctoral programs whowere actively working towards
the student body is receiving an education that approaches critical thinking in aholistic manner (e.g., formulating problems, working in a laboratory setting, mastery ofgraphical/written/verbal communication). Institutions collect a series of assessments targetingthese individual student outcomes (SOs) with the goal of determining how well the student bodycan achieve the goals prescribed by ABET. This process provides a thorough overview ofstudent attainment in the SOs from the perspective of the institution and its individual faculty,but it lacks any substantive measure of student self-efficacy.Self-efficacy is a term used to describe how well an individual believes they can accomplish atask [1]. Self-efficacy in a higher learning setting
as theSTEM-CIS (STEM Career Interest Survey) [15] tool measures self-efficacy and interest inSTEM classes and careers. The surveys included a pre-survey before arriving on campus, asurvey at the end of week 1 and week 2 to capture feedback on specific activities, and a post-survey at the end of BETA. All surveys were available via QR code for mobile devices. Thepost-surveys include whether students found material in the individual program sessions relevantto their goals, contained new knowledge, and presented in a learning-conducive way. The surveyof activities spanned departments in engineering [16].Additionally, we conducted pre- and post-camp focus groups. These focus groups involvedmeeting with a groups of 12-15 students in a room
-efficacy(general, design, and experimental), the Achievement Goal Questionnaire (AGQ), and itemsfrom the Longitudinal Assessment of Engineering Self-Efficacy (LAESE) were applied.Participation in SBP showed statistically significant differences in items that measured self-efficacy, academic readiness, sense of belonging, and knowledge about university life andindustry. However, goal orientation and career expectations did not exhibit changes. Resultssupport that the current five-pillar structure effectively promotes student success and persistencein engineering degrees for first-year students at Mississippi State University.Introduction In the United States, educational efforts aim to increase enrollment in 2- or 4-yearinstitutions right
environment in terms of support, organizational climate, incivility, microaggressions, and work-family conflict? 1a. Are there differences across Latino men and Latina women on perceptions of the workplace? 1b. Are there changes in these measures across time? 2. What are their perceptions of their self-efficacy and outcome expectations in domains of engineering tasks, organizational skills, and multiple roles? 2a. Are there differences across Latino men and Latina women on self-efficacy and outcome expectations
onassessing students’ self-confidence across key biomedical engineering competencies. As therewas no existing questionnaire for this particular subject, we developed this questionnaire byfollowing the same question structure as the SE-12 Questionnaire for measuring medical studentself-efficacy for clinical tasks [14]. Students were asked to rate their level of agreement withstatements that gauged their confidence in applying technical knowledge in the field, includinglaboratory basics, biomedical device challenges, antimicrobial practices, cytocompatibility, andmechanics. The self-efficacy questionnaire was administered at the beginning and end of thesemester. Each instance of the questionnaire took 20-30 minutes to complete. In Spring 2025,the same
the Appendix.The Interest in STEM construct included questions focused on students’ enthusiasm and aspirationsin STEM fields, including items such as “I am interested in STEM studies/careers” and “STEM willbe useful for my future career.” The Self-Efficacy construct evaluated students’ confidence in theiracademic abilities and effort, with items like “I feel better prepared to succeed in the next schoolyear” and “I worked to my fullest potential in PREP.” The Collaboration construct assessedstudents’ ability to work effectively in group settings, using questions such as “I was able to sharemy thoughts, questions, and ideas with my group” and “I was able to work together in a team.” Forthe Academic engagement construct, items measured students
analysis of 216 studies, we examineAI's potential to enhance engagement, conceptual understanding, and skill development infoundational engineering courses. Using a theoretical framework that integrates Cognitive LoadTheory (CLT), Self-Efficacy Theory (SET), and Situated Learning Theory (SLT), we analyzeimplementation strategies, outcomes, and barriers across diverse institutional contexts. Meta-analyses indicate that AI-enhanced active learning approaches can increase student performanceby 0.47 standard deviations and reduce failure rates by up to 55% compared to traditional 2methods (Freeman et al., 2014). However, challenges including high implementation costs,insufficient faculty training, and
undergraduate studentsin STEM and inform the development of tailored interventions through the STEM-RAEE program.With the overarching goal of fostering diversity, equity, and inclusion in the engineering andcomputing professions, our research aims to empower racially minoritized students to leveragetheir STEM knowledge for entrepreneurial success and community impact. We employed anonline survey instrument, integrating constructs from empirically validated scales inentrepreneurship literature, to gather insights from 86 undergraduate STEM majors enrolled at twoHBCUs in the Southern region of the United States. The survey assessed various factors, includingintent to pursue entrepreneurship, self-efficacy in entrepreneurship, role models
always align with their actual abilities. Additionally, the samplesize for both the 2023 and 2024 camps was relatively small, which may limit confidence of theresults. Further research with larger cohorts and more objective measures of learning outcomes,such as coding assessments or project evaluations, would provide a more comprehensiveunderstanding of the camp's impact.Future iterations of the camp could explore a hybrid approach, combining the strengths ofbreakout room interactions with opportunities for independent problem-solving. The surveyinstrument could be modified to evaluate self-efficacy, which began to become more central tothe camp’s primary goals. Additionally, tracking students' long-term engagement with STEMfollowing the camp
, particularly women ofcolor, continue to be grossly underrepresented in engineering and agrisciences [2], [3]. TheANGELS Education/ Teaching Programs were designed to support increased participation ofwomen and underrepresented minorities in STEM, with a unique focus on broadening participationthrough motivational impact for middle school girls. Affare, Pedersen, McElrone, Barbosa, and RamnarineMotivation, such as personal-professional identity, self-efficacy, and belonging, has long beenshown to play a role in interest and integration in STEM fields, particularly for women andunderrepresented minorities [4], [5]. According to a 2018 Confidence Code poll, self-confidencelevels drop by thirty percent (30%) for girls between the ages
malleable and can be shifted to growthmindset beliefs with simple, low-cost interventions [8]. Additionally, less experiencedinstructors, such as TAs, may be more likely to change their teaching beliefs than moreexperienced instructors [9].After participating in the PD, the graduate students reported high levels of confidence in theirability to use various inclusive teaching practices, such as confidence in reflecting on the impactof their mindset on students’ classroom experiences, using student data and feedback to informtheir teaching, and promoting students’ identity safety. These pilot results align with previousresearch that reported high TA confidence and self-efficacy [9], [18], [19]. Wheeler et al. [9]found that chemistry TAs had high
students but leave prior to graduation course designed based on the Affinity Research Groups (ARG) modeldue to a lack of interest in the general coursework and an Paper presented at ASEE Zone 1 Conference - Spring 2023, State College,, Pennsylvania. 10.18260/1-2-45064inability to adjust to the "college process." Research shows [2] Carberry, Adam & Lee, Hee-Sun & Ohland, Matthew. (2010).that these and other underrepresented students are often busy Measuring Engineering Design Self-Efficacy. Journal of Engineeringwith outside obligations, so engaging in research
Implications for STEM Education Researchers and Faculty," Journal of Chemical Education, vol. 93, pp. 1686-1702, 2016.[8] S. B. Wilson and P. Varma-Nelson, "Implementing Peer-Led Team Learning and Cyber Peer-Led Learning in an Organic Chemistry Course," Journal of College Science Teaching, vol. 50, pp. 44-50, 2021.[9] J. E. Klobas, S. Renzi and M. L. Nigrelli, "A scale for the measurement of self-efficacy for learning (SEL) at univeristy," Bocconi University, 2007.[10] K. Wilson, K. Luthi, D. Harvie and M. Surrency, "Strategies for Engagement of Non- Traditional Students in Engineering-Related courses," in 16th Annual Mentoring Conference, Albuquerque, NM, 2023.[11] K. Luthi, D. Harvie, K. Wilson and M. Surrency, "Peer support
, family, andadults at school. The protocol, adapted from an existing protocol [18], was originally written toaugment quantitative research measures (such as student surveys, data from the LearningManagement System, and achievement data) and gather insight into socioenvironmental factorsimpacting BOAST participants. This interview protocol was revised before Year 2, for exampleto acquire more consistent math self-efficacy ratings and re-order questions for fluidity.Interviews were conducted one-on-one in person or via Zoom. Digital audio recordings weretranscribed and coded using Nvivo analytical software.Data Analysis The First Cycle of coding [19] highlighted SCCT theory-derived constructs (Table 1). Inthe Second Cycle, language used by
engineering technology fields, with Latine faculty representing only 4% of theoverall faculty [33].Although studies show that having faculty mentors from similar backgrounds enhances theoutcomes for doctoral students, low faculty representation inevitably sets the stage for cross-cultural mentoring in the STEM doctoral context [4], [6], [19], [23], [24]. Cross-culturalmentoring occurs when mentees and mentors come from different cultural or racial backgrounds,in which cases racially and ethnically minoritized doctoral students are more likely to benefitfrom individualized support and guidance academically and emotionally for completion of thedoctoral program and develop self-efficacy as a scholar [4], [6], [19], [23], [24]. In a case studyby Sangiago
ofeffective engineering education. Hensel and Sigler (2007) discussed strategies for supportingstudents through structured programs, emphasizing the need for mentorship and academicresources [2]. Similarly, Myers, Byrd, and Hensel (2005) focused on designing first-yearprograms aimed at boosting retention and academic performance, including event-based learningcontexts like EngineerFEST [3]. Exploring students’ perceptions and self-efficacy in engineeringis crucial for understanding the broader impacts of such initiatives. Morris, Dygert, and Hensel(2020) linked students’ views of engineering as a career to their self-efficacy and grit, suggestingthat well-designed events can reinforce positive perceptions and career aspirations [4].Engineering
. 12 Scholars & Theories Expanding Critical Consciousness Matthew Diemer Three Alexis Jemal Transformative Components of Critical Potential Consciousness Diemer et al. (2015) expanded upon Transformative potential uses anFreire’s components of CrC (i.e., critical intersectional approach to social analysis reflection & action) by adding critical focusing on both the positions of oppression motivation or political self-efficacy. and privilege as forms of inequity. 13 Scholars & Theories Expanding Critical
teaching technical skills (n =19), while immersion (n = 6), soft skills (n = 6), and other topics(n = 5) have also seen deployments in the field. This technologyhas shown potential in knowledge acquisition (n = 8), self-efficacy(n = 9), engagement (n = 8), and satisfaction (n = 6) among users.Future work should look at how soft skills and immersion arebeing taught using virtual reality, and how smartphone-basedvirtual reality head-mounted displays can be used to provide alow-cost and portable means to access nursing simulationcontent. Fig. 1. Oculus Quest 2 VR HMD Keywords—Virtual Reality; Simulation; Nursing Education; ODigital Technology
who has worked with social scientists for 20+ years. She has investigatedengineering student identity development, self-efficacy, motivation, goal orientation, cognitiveflexibility, adaptive expertise, complex problem solving, etcetera in collaboration with socialscientists (Pierrakos, 2017; Pierrakos, 2016; Pierrakos et al., 2016a; Pierrakos et al., 2016b;Williamson et al., 2016; Pappas et al., 2013; Pierrakos et al., 2013; Pierrakos et al., 2010a;France et al., 2010; Pierrakos et al., 2010b; Zilberberg et al., 2010b; Pierrakos et al., 2010c;Pierrakos et al., 2009; Pierrakos and Trenor, 2009; Trenor and Pierrakos, 2008). These uniqueperspectives in understanding engineering students and knowledge gains as an interdisciplinaryand cross
approach taken by other studies, which have focused on suchinstitutional factors as faculty-student ratio, school size, school type, and undergraduatepopulation diversity [13]. Instead, the team sought to investigate the ways in which learners’experiences are shaped by key facets of the entire learning environment, such as faculty attitudes,advising support, approaches to DEI, and student sense of belonging and self-efficacy. Whenstudents face multifaceted barriers, educators and administrators are obliged to exploremultifaceted solutions [14]. For this reason, the team sought to understand barriers from multipleperspectives using quantitative and qualitative data.MethodsThe current study describes the development and implementation of an
] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering DesignThinking, Teaching, and Learning,” J. Eng. Educ., vol. 94, no. 1, pp. 103–120, Jan. 2005, doi:10.1002/j.2168-9830.2005.tb00832.x.[3] A. R. Carberry, H. Lee, and M. W. Ohland, “Measuring Engineering Design Self‐Efficacy,” J. Eng. Educ., vol. 99, no. 1, pp. 71–79, Jan. 2010, doi: 10.1002/j.2168-9830.2010.tb01043.x.[4] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorensen, “A Review of Literature onTeaching Engineering Design Through Project‐Oriented Capstone Courses,” J. Eng. Educ., vol.86, no. 1, pp. 17–28, Jan. 1997, doi: 10.1002/j.2168-9830.1997.tb00260.x.[5] D. A. Kolb, Experiential learning: Experience as the source of learning
STEM fields and enhancing retention by reducing dropout rates, particularly inmale-dominated environments through supportive and collaborative settings 6 . Creating gender-aware courses that promote participation across technical and managerial roles and introducingrole models can build STEM self-efficacy, encouraging young women to pursue and remain inengineering careers 7,8 . Addressing unconscious bias and providing fair role assignments furtherenable female students to confidently take on technical responsibilities while fostering a strongsense of community and professional commitment 9,10 .Ultimately, this project highlights how practical, student-led initiatives in engineering educationdrive real-world skill development and meaningful
with students one-on-one to help them navigate challengesthey may face. The SEED program seeks to achieve these same goals in a more cost-effectivemanner through the counseling facilitators, the part-time administrator, the industry mentors, andfaculty mentors who are assigned to each of the students.Program evaluation and outcomesThe external evaluator for the project administers a survey upon the students’ entry to the SEEDprogram with follow-up surveys and focus groups conducted annually thereafter. These methodsseek feedback from the scholars about program activities, while also tracking the evolution of thestudents’ STEM identity and self-efficacy. Here we report on student opinions on the impact ofthe different core elements of the SEED
quantitative measures may not beassessed until decades later, e.g., when a 2nd grader eventually chooses to pursue a STEM majorin college. Qualitative aspects can include analyses of interviews and free response survey datato ascertain improved sense of belonging, self-efficacy, or access to educational opportunitiesamong the target population. They could also include an increased understanding of gender orrace/ethnicity in STEM opportunities, skills development in becoming an equity advocate, and adeepening passion for DEI in STEM. They could also include subtle data-driven shifts in cultureor practice, e.g., creating groups for class assignments where female students are not isolated,sustaining near peer-mentor networks, or sustainability and
byvarious psychological and educational factors. According to Bandura’s theory of self-efficacy,individuals who believe in their capacity to succeed in a given domain demonstrate higher levels ofmotivation, persistence, and resilience (Bandura, 1977). In the context of construction education, themore confident students feel about their mastery of sustainable materials and methods, the moreinclined they will be to advocate for and implement these approaches in professional settings (Bhati& Sethy, 2022). Constructivist learning theories also underscore how students actively build theirunderstanding of sustainability through direct experiences, peer collaboration, and reflection (Arik &Yilmaz, 2020). Integrating these theoretical insights into
, confidence, and professional skill development among students. Allof these factors also influence engineering identity and research self efficacy [1]. In addition tofacilitating interactions with strategically trained faculty mentors, these ECHS REU students arementored by more senior researchers in their respective research labs, and within the GCSP-REUprogram, where various levels and fields of students have been collaborating for five weeks priorto the ECHS joining the team. This structured, tiered mentoring approach lessens the burden onany one member and expands the community of practice each student has. It has already proveneffective in previous GCSP-REU cohorts and could serve as a model for scaling in similarinitiatives [1]. In reflection
Tech. This program featured a ground-breaking Mobile Chemistry Laboratory, which was a 78-foot-long trailer that was fully equippedwith advanced chemistry laboratory equipment and instruments. The Mobile Chemistry Laboratorywould travel to underfunded schools and would provide students with the opportunity to performhands-on experiments and lab work using high-end pieces of apparatus, including spectrometers,pH probes, and chromatographs [10].In the work of Schmidt et al. (2020), the authors presented a STEM program focusing on improvingstudents’ interest and self-efficacy in STEM fields through a chemistry course called “Chemistry1898,” which was conducted by Tulane University. This program paired undergraduate studentsfrom Tulane University
, they are more likely to overcome obstacles in their academic journey, allowingthemtobuildresilience.Academicresilienceissignificantlyassociatedwithenhanced performance and a greater likelihood of achieving educational goals, as resilient students are better able to overcome challenges and maintain motivation [17]. Research supports that self-efficacy,orbeliefinone'sabilities,enhancesmotivationandengagement,whicharecrucialf oracademicsuccess[18].Higherself-efficacyisassociatedwiththeuseofdeepercognitiveand metacognitive strategies, ultimately resulting in better academic