factors by Heilbronner [3]:ability, self-efficacy, educational experiences and interest. Engineering majors are more likely tograduate when they have good math preparation [4]. Less than optimal high school preparationhas contributed to early switching out of STEM majors, and this phenomenon is experienced at ahigher rate by students of color. These students have reported that they were underprepared andoverconfident in their college STEM courses. The disconnect was described by these students asbeing top of their class in high school to being the bottom of their college physics or math classes[5]. Self-efficacy [6] is the belief by an individual that they have the ability to produce theoutcome expectancy. This can be described as an individual’s
submitted by six studentswith non-Nursing projects and 15 students with Nursing projects.However, the pre-Empathy survey results in Table 3 do demonstrate that Engineering first-yearstudents, regardless of the assigned project, are empathic. Hess, et al. constructed their Empathysurvey with a 9-point Likert scale. At week 14 of the design project, the average item responsefor the Interpersonal Self-Efficacy, Empathetic, and Perspective-Taking subscales ranged from7 to 9. In contrast, when the Empathy Survey was deployed in an introductory biomechanicscourse at another institution, the average item response for these subscales ranged from 6 to 7[41]. Future research could conduct measurement invariance tests to examine directly whetherthe magnitude
of teachers identified asfacilitating implementation included pedagogical content knowledge, self-efficacy,resourcefulness, and organizational and time management skills. Teachers reported that studentinterest in the STEM-ID challenges and STEM, more generally, was another facilitating factorwhereas, to varying degrees, disruptive student behavior and students’ lack of foundationalmathematics skills were reported as limiting factors. Teachers also highlighted specifictechnological challenges, such as software licensing issues, as limiting factors. Otherwise, wefound that teachers generally had sufficient resources to implement the curricula includingadequate physical space, technological tools, and supplies. Across teachers and schools
providedby the agency to develop educational self-efficacy, responsibility, and empathy for others.Inclusive: Educators are aware of and responsive to the ways that students are marginalized by ourcurrent education system. Educators (and all individuals in the building) actively and lovinglyaddress negative bias and integrate affirmations to promote social-emotional growth and well-being for all individuals in the classroom and school.Relevant Students experience “relatedness” with their teachers and a learning relevant to their livesthrough direct connections to their community, their country, and the world.The Engineering CurriculumPI Bayles co-developed the INSPIRES Curriculum (Figure 3)which was designed to specificallytarget three Standards for
and diversity,equity, and inclusion (DEI). The authors described how these subcategories would need to becategorized properly in future revisions, but the idea is they heavily dictated a student’sconfidence and sense of belonging.Summarizing this listing, we concluded with a motivational category list of interventionsubcategories as follows: task-value interventions (e.g., utility-value, communal value), framinginterventions (e.g., self-efficacy, belonging), personal value interventions (e.g., valueaffirmations), mitigating stereotype threat, and changing attributions, as shown in Table 1.Donker et al (2014) conducted a meta-analysis on teaching strategies that help studentmetacognition and self-regulation to find which specific tactics
on curriculum development, etc.) both during their research experience and the academic year; 4. Create strong communication between the teachers, the RET Site project faculty team and the industrial advisory board during the academic year to provide the teachers with support as they refine their curriculum modules utilizing inquiry methodology; 5. Increase teacher self-efficacy related to manufacturing content knowledge and inquiry-based teaching needed to inspire their students to consider careers in advanced manufacturing; 6. Deliver workforce development specific professional development targeted to increase teachers’ knowledge of regional career opportunities in advanced manufacturing to inspire
work.Comparing the effectiveness of virtual learning events with personal workshops would provideinsights into the advantages and challenges associated with each format as well as their overallimpact.References[1] Stewart, A. J., Malley, J. E., & LaVaque-Manty, D. (Eds.). (2007). Transforming scienceand engineering: Advancing academic women. University of Michigan Press. [2] Ford, A. Y., Dannels, S., Morahan, P., & Magrane, D. (2021). Leadership programs foracademic women: building self-efficacy and organizational leadership capacity. Journal ofWomen’s Health, 30(5), 672-680. [3] Eagly, A. H., & Carli, L. L. (2007). Through the labyrinth: The truth about how womenbecome leaders. Harvard Business Review Press [4] Eagly, A. H., & Carli, L
, “An investigation of self‐efficacy crossover between mentorsand protégés within mentoring dyads,” Annals of the New York Academy of Sciences, 1483(1),80-97, 2021.[20] Anon. “2023-2023 Criteria for accrediting engineering programs,” ABET, 2021[21] L. Hubbard, P. Mente, and S. Blanchard, “Student internships: A rich source of data forassessment of program outcomes,” in 2004 ASEE Annual Conference. Salt Lake City, Utah,June 2004.[22] R. Guardiola, L. Hanneman, S. Mickelson, and T. Brumm, “Development of workplacecompetencies sufficient to measure ABET outcomes,” in 2001 ASEE Annual Conference.Albuquerque, New Mexico, June 2001.[23] K. L. Biasca and S. Hill, “Assessment of ABET student outcomes during industrialinternships,” in 2011 ASEE Annual
are encouraged to draw out the situation when problemsolving rather than hold all the details mentally or in writing. Additionally, having applied theknowledge students learned during lectures and independent study, their observed self-efficacywill be set appropriately. This refers to an individual’s belief in their ability to learn or perform aspecific task and is an important indicator of motivation. Students with higher self-efficacy aremore willing to engage in learning actively, and thus have a higher chance of success. As for the latter point, according to Bandura’s social cognitive theory, learning happensbest as a social activity where information is more readily retained with other individualspresent.3,4 The reason for this is
the first time.As much as possible and according to Learning Loss skills gaps, the professor works to makeconnections between the course and what students might expect in their careers, which alsohelps enforce self-efficacy and self-advocacy. Stories are shared about times in industry,academia or consulting to build community and highlight aspects of that day’s discussions.Students and the professor were encouraged to wear logos and apparel that exhibit pride in theiraccomplishments and interests. In a live, synchronous class this is a good way to keep careergoals, aspirations and interests at the forefront.Such an offering also helps accommodate students who just transferred into Wright StateUniversity from other colleges or universities
, 2024 Identifying Barriers towards Adoption of Active Learning at HBCUs among STEM Faculty: A Preliminary StudyAbstractHigher education's promotion of diversity and inclusivity is greatly helped by historically blackcolleges and universities (HBCUs). Active learning pedagogy which places students at theepicenter of learning has been reported to aid in student engagement, retention, and workforcedevelopment. Also, the adoption of active learning strategies has grown in significance as ameans of improving undergraduate STEM students' educational experiences and academicsuccess. Moreso, this pedagogical approach attempts to increase involvement, foster self-efficacy, and inspire students in STEM fields. The experience during
additional benefit of thevideo project that positively impacted student learning outcomes.As we have only run this project for one semester, we have several ways that we would like toimprove. One major improvement would be the addition of better control cases. In the future, foreach demonstration video we create, we would like to show it to one lecture section of the class.However, we will record student enjoyment and self-efficacy data from both a lecture sectionthat saw the demonstration, and one that did not. This will enable us to better understand theimpact of the video demonstrations, as we will be able to measure the impact of the video, whilecontrolling for the difficulty of the content being presented. We also would like to
engineering courses. As a part of an NSF IUSE: EDU Program,Institutional, and Community Transformation track grant, this intervention targets women, Black,Latinx, and Indigenous students to support self-efficacy, belongingness, growth mindset, andidentity as avenues to address academic equity gaps that persist in engineering despite increasingenrollment within engineering among these groups. We frame these as equity gaps because theyderive not from any deficit of the students themselves but rather from systemic issues ofmarginalization that make students feel as if they do not belong. The ecological belongingintervention focuses on common engineering-course-specific student experiences of struggle andis delivered by instructors early in the term
seeking help. Itemswere contextualized to engineering and mathematics coursework. Items measuring help-seekingavoidance were reverse-coded prior to analysis. Scores on the measure of help-seeking motivesdemonstrated adequate reliability (⍵=0.77). Engineering efficacy. Six items assessed students’ general engineering self-efficacybased on the work of Mamaril and colleagues [29]. Consistent with prior use of the scale, theitems assessed students’ perceived capability to master the content and coursework inengineering. Scores on the scale demonstrated adequate reliability (⍵=0.94). Mathematics efficacy. Adapted from the measure of general engineering self-efficacy,we assessed students’ general mathematics efficacy using the item
. Otherengineering educators have presented projects of similar complexity, including a fast-returnactuator [8], compressed air engine [9], and ceiling hoist [10]. These projects are typicallyimplemented in standalone lab settings [7] or embedded within junior year machine designcourses [3, 10] and students work in groups to manufacture their prototype from a common,instructor-specified design. Implementation of machining projects has been linked to improvedcourse evaluations [3, 11] and enhanced understanding of theory-based course material [10];however, prior studies do not present evidence of improvement in students’ self-efficacy withregards to specific machining skills nor do these prior studies adequately demonstrate thetransferability of machining
academic/personal growth and understanding of engineering careers.Participants reported increased interest in and understanding of research practices and futurecareers. One “Learned so much more about the field I am going into and the different types ofwork I can expect in my future.” Another described growth in research interest, career potential,and opportunities for future study: “Ultimately, it [the internship] opened my interests and eyes to a different type of engineering that I did not expect. Also, with seeing how helpful this opportunity was I have become more excited to transfer and get more involved with this project or other projects.”Emerging self-efficacy [19]-[23] as an engineer is evident in the
the competitive climate experienced in STEM classes, increased reports of loss of confidenceincluding among high-performing female students who switch out of STEM, and problemsfinancing college. Seymour also notes that students with socio-economic disadvantages are atrisk of leaving their institution following just one DFWI grade in a severe STEM gateway courseeven when their grades in other courses place them in good academic standing [4]. This body ofliterature suggests that for many students, particularly women, minoritized individuals, andstudents from disadvantaged backgrounds, issues related to competitive/individualistic climate,lack of fit, lack of interest, and loss of self-efficacy can be significant drivers of attrition
].The second possibility for expanding access offers depth over breadth. Stacking multiple high-impact practices has been demonstrated to hold potential as a multiplier effect [13,4,14-15].Where experiencing a single high-impact practice is good, experiencing more than one can beeven better. In this study we ask, To what extent does stacking additional high-impact practiceson top of course-based PBL provide additional benefits for students? We examine this potentialvalue in terms of the range of benefits previously associated with PBL: developing professionalskills and mindsets, as well as building content mastery; improving self-efficacy and ownershipover learning; and career preparedness. We then extend these well-established impacts of PBLby
-curricular training fellowship offers the skill-building, cohort-based peer-support, 8+ semesters of time, and life experiences to help address this challenge.The rise in entrepreneurship education at the university level is rooted in student and faculty desireto teach abstract and applied STEM knowledge in a deeper way that delivers value for real-worldstakeholders. Students learn dynamism and adaptability while simultaneously obtaining thefundamentals [1]. While entrepreneurship education typically rose out of business school roots,engineering programs increasingly look to integrate those activities in their curricula due to naturalsynergies around the design process [2], customer/product fit, student demand for purpose-drivenwork, self-efficacy
’ college teaching self-efficacy," CBE—Life Sciences Education, vol. 17, no. 1, p. ar14, 2018/03/01 2018, doi: 10.1187/cbe.17-02- 0039.[3] E. E. Shortlidge and S. L. Eddy, "The trade-off between graduate student research and teaching: A myth?," PLOS ONE, vol. 13, no. 6, p. e0199576, 2018, doi: 10.1371/journal.pone.0199576.[4] N. Davidson and C. H. Major, "Boundary crossings: Cooperative learning, collaborative learning, and problem-based learning," Journal on excellence in college teaching, vol. 25, 2014.
importantinstitutional yardsticks, included high measures of student engagement and positive outcomes thatwere influenced by measured factors likes self-efficacy, academic achievement, completion,retention, and career preparation. The grading in the course is based on a combination of“objective” and “subjective” evaluations. The objective part involves regular presentations ofwork in progress (35% of the overall grade) and a paper/Final report and final presentation (25%),each based on work performed and published articles on the subject matter. The more subjectivecomponents are 20% of the overall grade and 20% for peer evaluations of participation in smallgroup discussions based mostly on completed work, cited articles and Class-Design ExpoPresentations
in anxiety levels from aninitial mean of 11.97 to 9.78 by the end of the semester (p < 0.001). Additionally, masterystudents showed significant improvements in self-efficacy in mastery, vicarious experience, andsocial persuasion (p = 0.005, 0.012, 0.018), which was not observed in the traditional group. Wecompared students' placement scores between two groups and found no significant difference inpreparedness (p-value=0.49). Despite the expectation that constant revisiting of topics in masterygraded sections would enhance retention and performance, there was no significant difference inperformance at the end of the semester (p-value=0.86). However, the final grade distributionsbetween the two groups indicated a considerable difference
, andcollaborative learning. Owolabi et al [1] described experimental-centric pedagogy as aninstructional approach emphasizing hands-on, experiential learning to enhance studentengagement and understanding. It involves active participation in experiments, problem-solving,and real-world applications, aiming to foster critical thinking, creativity, and practical skills. Thisis one of the emerging active learning strategies that have received national and internationalrecognition for its impact on learner’s motivation, self-efficacy, and cognitive development [2],[3], [4].Science, technology, engineering, and mathematics education requires a deep understanding of thephysical and natural aspects of existence, living organisms, and intricate biological processes
Year EngineeringStudents” in 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018, pp.1-8, doi: 10.1109/FIE.2018.8659311.[13] M.L. Riggs, J. Warka, B. Babasa, R. Betancourt, S. Hooker. “Development and validation ofself-efficacy and outcome expectancy scales for job-related applications,” Educational andPsychological Measurement, vol. 54, no. 3, pp. 793–802, 1994, doi:10.1177/0013164494054003026[14] A.R. Carberry, H.S. Lee, 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.[15] D.B. Yarbrough, L.M. Shulha, R.K. Hopson, F.A. Caruthers, The program evaluationstandards: A guide for evaluators and evaluation
bondswith the community at an early age.Role models and their representationsThe feeling of isolation, balancing an engineering career with family life, academicdissatisfaction, and lack of minority role models on campuses can reduce representation. Thereis a need for equitable access of students to role models of similar gender and race. Most femalesindicated that encouragement and validation from someone like them can help build theirengineering confidence and level of self-efficacy. College administrators should seek diversefaculty to reflect the student body and to encourage/motivate an increase in femalerepresentation.Quality Teachers with engineering knowledgeThe participating students emphasized the need for early exposure to engineering via
provides a platform for students to identify real-worldchallenges and devise innovative solutions, fostering a sense of self-efficacy. Students’ sense ofbelonging, psychological safety, and decision-making processes about their future often alignwith their interests and curiosity, but anxiety can negatively influence these perceptions. Anxietycan affect children’s strategic behavior by discouraging them from choosing advanced strategiesand methods or even considering such options in the first place. Prior research efforts ininvention education have focused on intent to persist in STEM, attitudes towards STEM,inventor identity, teamwork, and collaboration skills, but further research is needed to explorehow to cultivate confidence and minimize
young BLV children. The library ran its programin fall 2022 and 2023 (for 14 and 19 students, respectively) as a semester-long (50-hour)experience held after-school and on weekends. The library developed project ideas incollaboration with a nearby school for the blind.MethodsSite leads collaborated with the research team to collect pre/post surveys and audio reflectionsfrom interns and feedback from site leaders and clients. Interns participated in a focus group atthe end of their internship experience. To date, the survey has adapted measures from validatedinstruments including the Fit of Personal Interests and Perceptions of Engineering Survey (F-PIPES) [12], Engineering Design Self-Efficacy Instrument [13], Short Instrument for
.[11] Walter R Boot, Neil Charness, Sara J Czaja, Joseph Sharit, Wendy A Rogers, Arthur D Fisk, Tracy Mitzner, Chin Chin Lee, and Sankaran Nair. Computer proficiency questionnaire: assessing low and high computer proficient seniors. The Gerontologist, 55(3):404–411, 2015.[12] Center for Digital Dannelse. The digital competence wheel. https://digital-competence.eu, 2016. Accessed: 02-06-2024.[13] Francisco G Barbeite and Elizabeth M Weiss. Computer self-efficacy and anxiety scales for an internet sample: testing measurement equivalence of existing measures and development of new scales. Computers in human behavior, 20(1):1–15, 2004.[14] Kelly S Steelman and Kay L Tislar. Measurement of tech anxiety in older and younger
to selectedstudents. In addition to the scholarship funds, S-STEM programs offer additional activities andresources [1]-[4]. For example, Southern Methodist University provided their S-STEM studentswith weekly seminars and block scheduling which positively impacted the students and theirability to excel academically. While various academic and support resources are included in theimplementation of the S-STEM Program discussed here, this paper’s focus is the impact ofweekly lunches on our students.Student retention is typically influenced by feelings of self-efficacy and inclusion in engineeringspaces [5]-[6]. Reasons for attrition include classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence
female mentors, and female engineeringprofessors. Given each survey question resulted in strong positive statistical significance, theresearchers are encouraged to continue and expand this effort.It should be noted that the researchers recognize the sample size is small, and thus, it is notpossible to draw definitive conclusions based on these results. Further analysis is planned tomeasure the impact of this activity on academic performance and retention. Additionally, self-efficacy surveys were given in the engineering course and during the INSPIRE workshop. Thisdata will provide more depth to the analysis of the impact of the workshop experience.References[1] National Center for Science and Engineering Statistics (NCSES). 2023. Diversity and