paths. Together, these studies demonstrate thatformal PD programs, whether focused on individual reflection, flexible learning formats, orcollaborative engagement, can play an important role in influencing the development of teachingidentity.Teaching self-efficacy refers to an instructor's confidence in their ability to teach effectively andpositively influences student learning. Teaching self-efficacy reinforces and strengthens teachingidentity, as increased confidence in instructional abilities enables GTAs to take ownership of theirroles as educators [9, 10]. DeChenne et al. [9] developed and validated the STEM GTA TeachingSelf-Efficacy Scale (STEM GTA-TSES), a tool specifically designed to measure teaching self-efficacy among STEM GTAs
/post surveys and audioreflections and facilitated a focus group discussion at the end of each internship program.Following some refinement early in the project, the pre/post survey included measures adaptedfrom validated instruments including the Engineering Design Self-Efficacy Instrument [9], theShort Instrument for Measuring Students’ Confidence with Key Skills [10], and the STEMProfessional Identity Overlap measure (STEM-PIO-1) [11]. These measures assess teens’ self-efficacy in engineering and the design process and their self-perceptions as engineers. Based onthemes that emerged from the project’s first two years, the team added a retrospective (post-only) survey in the project’s third year to assess changes in teens’ understanding of
. 1, pp. 173–208, 1989.18. A. Bandura, “Reflections on self-efficacy. Advances in Behaviour Research and Therapy, vol. 1, no. 4, pp. 237–269, 1978.19. F. Pajares, “Current directions in self-efficacy research,” Advances in Motivation and Achievement, vol. 10, no. 149, pp. 1–49, 1997.20. K. Caraway, C. M. Tucker, W. M. Reinke, and C. Hall, C. “Self‐efficacy, goal orientation, and fear of failure as predictors of school engagement in high school students,” Psychology in the Schools, vol. 40, no. 4, pp. 417–427, 2003.21. 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, 2010.22. T. D. Fantz, T. D., T. J. Siller, and M. A
Experiences and Outcomes in the E3 ProgramThe E3 program was designed to enhance high school teachers’ ability and confidence to teachethical principles in STEM. Feedback from the participating teachers, collected through pre- andpost-program surveys, provides a clear picture of the program’s impact. A Likert scale was usedto measure their responses to various aspects of the program. The scale ranged from 1 to 5, with 1indicating "Strongly Disagree" and 5 indicating "Strongly Agree." This method was employed toevaluate the teachers' confidence, preparedness, and perceptions both before and after the program,providing a quantitative measure of its effectiveness.The E3 program had a notable influence on teachers’ self-efficacy in teaching engineering
), the Society of Asian Scientists and Engineers (SASE), the National Society of Black Engineers (NSBE) and ten times Outstanding Chapter Awardee, the American Chemical Society-Wright College Chapter. Doris promotes collaboration between K-12 schools, other community colleges, 4-year institutions, non-profit organizations, and industries. Doris’ current research is to design and implement practices that develop Community of Practice (CoP), Professional Identity, and Self-Efficacy to streamline transfer from community colleges to 4-year institutions. ©American Society for Engineering Education, 2025 Fostering STEM Identity and STEM Efficacy Through Engagement in
goals inChemE, guided by SCCT. Previous STEM education research has measured student interestusing SCCT-based instruments like the STEM Career Interest Survey (STEM-CIS), which wasoriginally designed for K-12 students and validated for engineering (RMSEA = 0.017, CFI =0.990, NFI = 0.950) [27]. This study adapted the STEM-CIS engineering subscale forundergraduate ChemE students by modifying six items and introducing two new items to assessunderstanding of ChemE and self-efficacy for post-graduation ChemE careers. These items weremeasured on a Likert-scale, from 1 (strongly disagree) to 5 (strongly agree). Additionally,interest in ChemE subfields corresponding to the five course topics was rated on a scale of 1 (notat all interested) to 5
and collaborativeefforts have been the backbone of the experience but never overpowered the component ofindividual development and allowed for a balanced and holistic exposure to the field. In thissection, we dive into these topics in further detail and discuss how our program design andparticipant reflections follow the topics of self-efficacy, outcome expectations, and learningexperience discussed in the Socio-Cognitive Career Theory.Creating Inclusive Pathways to Experiential and Emotional Engagement: Echoing the work of [24], [25] the first findings from our work suggests that hands-on,self-exploratory, and gamified activities were particularly memorable and impactful forparticipants. The intentional design of the program offered
critical retentionwindow between a student’s first and second years is diminished. Therefore, we proposeexposing undergraduate students to research skills and opportunities as early as possible in theircollege journey. In this paper, we describe the design and implementation of a combinedintervention model, where we leveraged an existing 6-week summer bridge program by addingan introduction to research course to the curriculum. To assess the impact of this enhanced bridgeprogram, we used pre- and post-program surveys to measure any change in student attitudestowards self-efficacy and sense of belonging, as well as their likelihood of pursuing anundergraduate research opportunity and graduate school. We also examined the preliminaryeffect of the
engineering education [8-10]. Context is important since self-efficacy is dependent on the topic; however, in the case of agency, contextualization is not to afield, but rather to the consequentiality of the decision. We found that the most significantdomain was Domain 3, analyzing data and interpreting results, which contributed to students’identities as engineers more than other domains and, since the tasks are more relevant to the fieldof engineering, the students’ identities develop more [11]. Other recent publications in chemicalengineering education also discuss ways to provide more opportunities for students to experienceagency, from using data science tutorials that make it possible for more students to participate inauthentic laboratory
published; see [8-9].In fall 2023 there were 7 teams where all of the students in the group consented to participate inthe research. (This included one team of three students because a student dropped the courselate.) These students also completed a pre-survey to measure their innovation self-efficacy usingthe Very Brief Innovation Scale [10]. The majority of the students participating in the researchalso completed a post-survey with the same items.Reflective Memo on ExperimentationThe third reflective memo assigned in week 7 of the project asked teams to think aboutexperimentation. The prompt was: “For the activity you are designing, to what extent and howdid experimenting assist you in searching for new ideas or creating your design
research exists on theuse of case studies to motivate non-STEM majors to study technological topics, particularly incontexts where hands-on technology activities complement the case study by exploring itsunderlying themes and demonstrating the significance of the technology. In this course, the casestudies serve an additional purpose; they provide real-world examples of the impact of eitherembracing or ignoring a new technology.Self-efficacy refers to the confidence in one’s ability to accomplish specific tasks, and enhancingstudents’ self-efficacy increases the likelihood of achieving desired outcomes [4, 5]. Researchacross various disciplines highlights the critical role of experiential learning in buildingself-efficacy. For example, educators
students, after which they discussed their thoughts and how they would implementit in their classrooms.2.3 Measurements and data collectionPre- and post-workshop surveys were conducted to investigate the impact of flow-based musicprogramming environments on teachers’ self-efficacy, interest, and attitudes toward teachingprogramming. Table 1 outlines the specific survey questions, all rated on a five-point Likert scale.For example, the post-survey #1 has “Much more confident/more Confident/Equallyconfident/Less confident/Much less confident”. The pre-workshop survey established a baselineof participants’ confidence, interest in programming, and perspectives on teaching programming,while the post-workshop survey assessed changes in these
thelearning process have been shown to enhance academic performance [13][16]. The benefits ofmetacognition include improved performance [17]-[23], amount and depth of student thinking [24],sustained focus of learning [25], and the development of reflective and responsible professionalism[26]. With increased learning outcomes and confidence through academic performance,engineering students’ self-efficacy might be positively correlated. [27][28] Consequently, multiplemetacognitive interventions were integrated along with the teamwork activity to achieve thedesired learning outcomes.This paper details the implementation of professionalism and metacognition interventions in alarge Statics course during Fall 2024. The study aims to address two research
Chicago where he directs the Race, Culture, and Health Equity Lab. He is an Associate Editor for the Journal of Counseling Psychology and is the Vice President for Scientific Affairs for the Society of Counseling Psychology. His scholarship (a) examines ways in which racism and cultural experiences relate to mental health in AAPI populations and in other diverse communities, (b) evaluates the measurement of racial and cultural constructs, and (c) explores the role of self-efficacy in the development of social justice interest and commitment.Leanne Kallemeyn, Loyola University Chicago Leanne M. Kallemeyn is an Associate Professor in Research Methodology within the School of Education at Loyola University Chicago, United
challenges [15]. Additionally, teamwork competencies, often tied toleadership, correlate with higher GPA. The relationship between leadership and GPA iscomplex. Shamsi et al. found that lower assertiveness correlates with higher GPAs,indicating that traditional leadership traits may not always align with academic success.However, structured leadership initiatives foster self-efficacy, belonging, and retention,contributing to long-term academic achievement [12].This research aims to analyze the direct and indirect effects of leadership skills among agroup of senior engineering students, using measures of professional experience andacademic success, such as GPA and academic progress. To achieve this, data was collectedthrough the administration of the
confidence whenapplying the course concepts in the experimental analysis and outcome part of the activity andlower confidence in accounting for uncertainties and troubleshooting. Ford and coworkersreported similar confidence level trends in these self-efficacy items in a materials laboratorycourse. [16]Figure 7: Student mean scores for self-efficacy questions in the exit survey.Conclusion and Future WorkSeveral hands-on MP activities were implemented along with regular HW assignments toenhance student learning in an undergraduate Dynamics course. The effectiveness of these MPactivities was measured through comparative analysis of course grade data with a baselinesection and entry and exit surveys administered in the MP section. The study results
’ sense of self-efficacy [13], [14] and confidence in understanding engineering topics istightly linked to their decision to remain in a degree course [15]. In addition, students may notidentify with the culture surrounding engineering [9], [16], [17] nor develop a “sense of belonging”to the engineering field [7], [18], and seek alternative vocations. The lack of belonging particularlyaffects students from groups that are underrepresented in engineering, who report leaving theirmajor due to fear of being judged by peers based on negative stereotypes [7], [19], [20].A potential, less explored factor that could contribute to attrition is students’ lack of understandingof engineering [18]. In particular, many entering students may not know what
- and post- survey questions will all beredacted, with pseudonyms replacing participant names. Next, data will be grouped throughdeductive coding into themes that correspond to the five constructs measured by the SIC-STEM2.0 survey: 1) Choice Actions, 2) Choice Goals, 3) Interests, 4) Outcome-Expectations, and 5)Self-Efficacy 5 . This deductive analysis will cast a wide net using latent meaning rather thansemantic meaning to capture as much data as possible within each category.After the initial deductive analysis, we will analyze the data in each theme in accordance with thesix steps of reflexive thematic analysis Braun and Clarke laid out in their 2006 paper andaugmented by their later works 11,10 : 1) Familiarizing yourself with the data, 2
complete theirhomework (86.7%) versus those assigned computer-based (64.4%). These results show theimportance of assigning meaningful homework in a method that students are likely to complete.In a correlational survey study in 2022 [4], the effects of students’ online homework learningoutcomes on their self-efficacy, perceived responsibility, and motivation levels were measuredand analyzed. The study found meaningful correlations between self-efficacy and perceivedresponsibility, also between self-efficacy and motivation levels. No correlation was observedbetween students’ online homework performance and self-efficacy, perceived responsibility, andmotivation.In 2003 a web-based interactive, automated homework quiz and tutorial package was used
jobs forcomputer engineers [11]. The percentage of students identifying as women enrolled has notchanged over the last 20 years in electrical and computer engineering (ECE) (also ~15% in 2002)while the percentage of women bioengineers has increased (up from 43%) [10].It has been shown that there is no academic reason for the lack of women in STEM fields [12];however, low interest and low self-efficacy are two important factors. Social Cognitive CareerTheory provides a robust theoretical framework to understand the phenomena impacting theparticipation of women [13,14]. Research indicates that some of the reasons that women areinterested in biomedical and related engineering fields include an interest in solving socialproblems, and that they are
participation in engineering. Recent investigationshighlight that participation in makerspaces correlates with improved innovation self-efficacy andgreater academic and professional confidence (Andrews et al., 2021). However, most priorresearch has focused on engineering students already committed to the field. There is a gap inunderstanding how multidisciplinary makerspace experiences shape identity trajectories amongstudents with varying levels of prior exposure to engineering. Although the link between makerspaces and skill development is established (Forest etal., 2014; Wilczynski, 2015), more research is needed on how multidisciplinary makerspacecourses shape engineering identity dimensions holistically, particularly regarding recognition
-belonging-at-Imperial-College-London-scale.pdf. (Accessed Sept 1, 2024)[13] N. Mamaril, E. Usher, C. Li, D. Economy, and M. Kennedy, “Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study. Journal of Engineering Education.” 105. 10.1002/jee.20121. 2016.
learning, growth, success,retention, sense of belonging, well-being, self-efficacy, and confidence” such as by providing“opportunities for experiential learning, including undergraduate research, making and design,community-engaged based learning.” We requested that faculty include citations to educationalresearch and provided links to resources, such as the International Handbook of EngineeringEducation Research, the American Society for Engineering Education Proceedings, and theJournal of Engineering Education, among others. Next, we formed a CoP, led by an associatedean overseeing the program and a learning scientist with a joint appointment in the department,with the faculty who submitted proposals. The associate dean convened several meetings
science in high school. Teacher outcomes (N=68) include improved QISTknowledge and pedagogical self-efficacy. This project is a replicable model of university-basedQIST outreach to inspire the next generation quantum workforce in industry, research, andacademia.Introduction and BackgroundRecent reports have called for increased teaching, learning, and awareness of quantuminformation science and technology (QIST) principles and skills in precollege educationalsettings. Federal initiatives including the National Strategic Overview for Quantum InformationScience have emphasized the need to develop the future quantum workforce through K-12partnerships between academia and government agencies [1]. The Quantum Information Scienceand Technology
factors that hidden curriculum stands on and use them to identify and understand themechanism of hidden curriculum. These key factors include emotions, self-efficacy, self-advocacy, and awareness [14], [15]. More specifically, Villanueva et al.’s model describes that anindividual recognizes hidden curriculum through hidden curriculum awareness, which isprocessed by emotions. Emotions are then regulated by self-efficacy, which ultimately sustainsand reinforces the individual’s self-advocacy. While Villanueva et al.’s conceptual model isfocused on the coping mechanism upon discovering hidden curriculum, our study usesVillanueva et al.’s work on identifying hidden curriculum in engineering classroom exams basedon the described mechanism.Examining
high number offirst-generation students and rural recruitment students, much of our population has fewer ofthese college preparatory courses. COVID-19 also drastically decreased the number of studentswith calculus experience before college. While our college has created more tutoringopportunities and different pathways for students with less success, we do not currently know theimpact of these courses on the students. There has also been a link between pre-college experiences outside of the classroom andstudent self-efficacy in STEM [5]. Hobbies and extracurricular interests can increase students’retention because they believe more in themselves. Because of the impact ofhobbies/extracurricular activities on retention, we have also
, Greece, 2024, pp. 1-6. doi:10.1109/EDUCON60312.2024.10578777.[24] T. Seelig, inGenius: A Crash Course on Creativity. Hay House, Inc., 2012.[25] M. Karwowski, I. Lebuda, and E. Wisniewska, "Measuring Creative Self-efficacy and CreativePersonal Identity," J. Creativity Problem Solving, vol. 28, pp. 45-57, May 2018.[26] J. C. Kaufman and R. A. Beghetto, "Beyond big and little: The four C model of creativity," Rev.Gen. Psychol., vol. 13, no. 1, pp. 1–12, 2009. doi: 10.1037/a0013688.[27] A. Zhuparova, R. Pukala, and R. Doszhan, “Analysis of the Development of Creative Industriesin Kazakhstan: the Qualitative Analysis,” Eurasian Journal of Economic and Business Studies, vol.4, pp. 145-159, Dec. 2022, doi: 10.47703/ejebs.v4i66.183.
. Kennedy, “Measuringundergraduate students’ engineering self-efficacy: a validation study,” Journal of EngineeringEducation, vol. 105, no. 2, pp. 366-395, 2016.[15] D. Paul, B. Nepal, M. D. Johnson, and T. J. Jacobs, “Examining validity of general self-efficacy scale for assessing engineering students’ self-efficacy,” International Journal ofEngineering Education, vol. 34, no. 5, pp. 1671-1686, 2018.[16] M. M. Chemers, E. L. Zurbriggen, M. Syed, B. K. Goza, and S. Bearman, “The role ofefficacy and identity in science career commitment among underrepresented minority students,”Journal of Social Issues, vol. 67., no. 3, pp. 469-490, 2011.[17] J. B. Leibowitz, C. F. Lovitt, and C. S. Seager, “Development and validation of a survey toassess belonging
foster deepcollaboration and build a strong community of effective community college teaching faculty witha shared vision and purpose. This aims to ensure that students transfer to the four-yearenvironment equipped with a well-developed engineering identity, self-efficacy, sense ofbelonging, and the T-shaped skills – combining breadth and depth of knowledge - needed to makethe most of their new university environment. This project will thus revolutionize student-centeredinclusive teaching practices and lead to cultural, structural and organizational change at all levels,ultimately impacting high-tech workforce development in the state. One major aspect of the projectis to design and effectively deliver three required engineering courses at the
9: Student participants' recognition of themselves as a STEM person before and after the summer programusing the RIS-STEM survey tool (npre = 184, npost = 137).MISO S-STEM – 21st-Century LearningThe final measure used to measure the development of STEM identity in students was designed tocapture students' attitudes and self-efficacy in STEM by assessing various 21st-century learningskills. These questions were modified for the context of the summer program from the validatedMISO S-STEM survey, which studied and measured student's attitudes toward Science,Technology, Engineering, and Mathematics [7], [8]. Students used a 4-point Likert scale, Confident at All, A Little Confident, Confident, Very Confident, to describe their confidence