identity: the impact of practice-oriented learning experiences,” International Journal of STEM Education, Vol. 10, No. 48, 2023, https://doi.org/10.1186/s40594-023-00439-2[4] N. Mamaril, E. Usher, C. Li, D. Economy & M. Kennedy, “Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study. Journal of Engineering Education,” Journal of Engineering Education, Vol. 105, No. 2, pp. 366-395, Apr. 2016. 105. 10.1002/jee.20121.[5] G. Zhang, T.J. Anderson, M.W. Ohland, R. Carter & B.R. Thorndyke, “Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study,” Journal of Engineering Education, Vol. 93, No. 4, pp. 313–320, Oct. 2004
Engineering Education, 2024 Work in Progress: Community College Student Experiences with Interdisciplinary Computing Modules in Introductory Biology and Statistics CoursesAbstractInterdisciplinary professionals with both domain and computing skills are in high demand in ourincreasingly digital workplace. Universities have begun offering interdisciplinary computingdegrees to meet this demand, but many community college students are not provided learningexperiences that foster their self-efficacy in pursuing them. The Applied ProgrammingExperiences (APEX) program aims to address this issue by embedding computing modules intointroductory biology and statistics courses at community colleges. Here, we describe an
, UPRM is onlybeginning to incorporate JEDI into Strategic Planning. This project will accelerate those efforts.We intend to work with administrators to develop a climate survey and to improve the counting ofnon-binary students.3. MindsetsBefore discussing the program design, we deliberate a set of mindsets essential to develop instudents. This is a precursor to developing a competency-based profile that is under development.Student Self-efficacyAside from the theme of Sustainability, students in the new programs must be prepared to be self-motivated and willing to take a high level of responsibility for their learning. We plan to use thePittsburgh Freshman Engineering Attitudes Survey (PFEAS) to assess student self-efficacy uponentry and use
have completed thefirst two cohorts. Cohort 3 is actively participating in yeartwo, and Cohort 4 is in year one. Each subsequent cohortbuilds on the lessons learned from the prior, refining the 15program's impact. 15This map demonstrates the distribution of the participantsI’ve just mentioned 16 Evaluation • Iterative improvements between sessions based on participant feedback • Duke Social Science Research Institute • Increased knowledge and awareness of the impact of systemic inequities on computing environments • Increased self-efficacy to identify factors
are especially prevalent in the middle school grades for female students. Therefore,before peer pressure and popular culture lures them away from self-efficacy in math and science,outreach to females outside of the traditional classroom is crucial. For this research project,thirteen middle school students were invited to attend a summer camp hosted in theenvironmental engineering laboratory at North Carolina Agricultural & Technical StateUniversity. Three environmental and public health “cases” or stories were developed to increasethe student interest in science and environmental engineering. The girls were grouped into teamsand each group was assigned one of the three cases in which a community member or petbecame sick due to an unknown
significant improvements in students’ interest,self-efficacy, stereotypes, and utility perceptions of engineering after participating in anengineering workshop [10]. Similarly, design experiences in secondary school education havebeen shown to develop students’ practical and professional skills. The activities influenced theirself-efficacy beliefs and shaped their future career interests [6].One of the key outcomes of pre-college engineering education is the positive impact onpromoting equity. For example, a one-day workshop for high school girls improved attitudestoward STEM fields, boosted their confidence in engineering, and enhanced their knowledge ofcareer opportunities [11]. Likewise, a one-year Engineering Projects in Community Serviceprogram
. Authoritarian parents prioritize adherence to"rigid rules" and high expectations over open dialog. Permissive parents indulge child autonomyover behavioral regulation, while uninvolved parents provide general neglect and disengagement.Several research studies have examined the relationship between parenting styles and career-decision making and career self-efficacy (Guay et al., 2003; Sovet & Metz, 2014). In another line of research, Kincaid et al. (2012) mentioned that “Bronfenbrenner (1961,1979) was among the first to suggest that parenting behaviors, including parental affection andtenable authority, may have differential effects on boys and girls'' (p. 5). Given the importance ofparents’ role and parenting styles on career decision making
Positions at Hispanic- Serving Institutions,” in Proceedings of the ASEE/IEEE Frontiers in Education Conference, Lincoln, NE: American Society for Engineering Education/IEEE, 2021.[10] J. R. S. Molano et al., “AMPLIFY Institute: A Professional Development Program Designed for and with Engineering Instructional Faculty.,” in 2023 ASEE Annual Conference & Exposition Proceedings, Baltimore, MD, Jun. 2023.[11] A. B. Dellinger, J. J. Bobbett, D. F. Olivier, and C. D. Ellett, “Measuring teachers’ self- efficacy beliefs: Development and use of the TEBS-Self,” Teaching and Teacher Education, vol. 24, no. 3, pp. 751–766, Apr. 2008, doi: 10.1016/j.tate.2007.02.010.[12] C. M. Campbell and K. O’Meara, “Faculty Agency: Departmental
self-explanation has on student performance as wellas self-efficacy in a statistics course. Students in the experimental group collaboratively solvedproblems in teams of three, providing self-explanations of the reasoning behind their answers toone another. Students in a control group solved the same problems individually. This studyshowed that students who generated collaborative self-explanation performed significantly betterat solving problems than students who did not. What these studies have in common is their use ofsummative performance assessments to show the positive impact that self-explanation has onlearning gains. To our knowledge, prior work has not used automated, formative assessmentswhich capture changes in students’ solution
she needs to report to the team leader on theprogress and problems encountered when it happens.The process of selecting team leaders and team members help each student to reaffirm his or role in the team.Project Assessment ComponentsProject assessment and evaluation component discusses the needs for effective assessment of the approachused in this project. Both pre-engineering design self-efficacy survey and post engineering design self-efficacy survey tools were used. Formative and summative assessments tools for the project have developedand used to measure the effective of this project.Instructors will use the Design Strategies Matrix developed by Dr.Crismond [14] as a rubric to assessstudents’ growth in using select design strategies in
multidimensional theory that considered both a person’s beliefs abouttheir success and potential value of the outcome could be created [14]. At a high-level, EVTposits that a person’s motivation is a combination of two primary factors: their expectations ofsuccess (the expectancy) as well as the worth or importance attached to the outcome (the value)[15]. The expectancy half of a person’s motivation is a combination of a person’s self-efficacy,expectancies, self-concept, perceived control over a situation, and the attributions associated withan outcome, whereas the value portion considers their psychological needs, the intrinsic vs.extrinsic value of the outcome, the utility of the outcome, as well as its cost [14]. JacquelineEccles-Parsons (and
other arenas. Multiple studies documentincreased motivation and self-efficacy in sports training through the use of videos, for instance[15]. Motivation and self-efficacy are foundational concepts of Self Determination Theory [16][17][18], and video’s potential to enhance them in sports may be transferrable to other types ofself-development and growth. In higher education, role-model videos have been suggested tohave a positive effect on the retention of students historically under-represented in STEM,particularly when the role models discuss their personal transitions to college or the work force[19] or navigating STEM education as an historically under-represented minority [20]. Emerginguses of video technology to help the viewer visualize a
success of these students.Among the strategies developed for this project is a ten-week summer research internshipprogram developed collaboratively with San Francisco State University, a large comprehensiveurban university in San Francisco. The goals of the program are to strengthen students' identityas engineers and researchers; increase student interest to further engage in research activities;and enhance student self-efficacy for successfully transferring to a four-year university,completing a baccalaureate degree in engineering, and pursuing a graduate degree.2. Civil Engineering ProjectShake table, quasi-static, and hybrid simulation tests are the three main experimental methodsthat are used in laboratory on the seismic performance of
] 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
workforce is at stake, it is criticallyimportant to comprehensively assess undergraduate engineering student experiences to betterunderstand what is happening on engineering campuses [5] for maintaining a sustainableengagement continuum [6].Over that past several decades, there have been numerous studies on persistence in engineeringattempting to better understand why students leave [7-10]. Usually, the factors that influencestudent persistence in engineering fall into several categories: race and gender, unwelcomingacademic climate, conceptual understanding in core courses, self-efficacy, interest and careergoals, and access to social capital. While the impact of both academic and non-academic factorshas been known to contribute to students
Motivation and Learning, K. A. Renninger and S. E. Hidi, Eds. Cambridge: Cambridge University Press, 2019, pp. 617–644.[10] L. T. Hu, and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Structural Equation Modeling: A Multidisciplinary Journal, vol. 6, no. 1, pp. 1-55, 1999.[11] M. Guan, and J. So, “Influence of social identity on self-efficacy beliefs through perceived social support: A social identity theory perspective,” Comm. Studies, vol. 67, no. 5, pp. 588–604, Oct. 2016.[12] C. S. Hulleman et al., “Making connections: Replicating and extending the utility value intervention in the classroom,” J. of Ed. Psych., vol
sense of belongingwith their selected major and college (Good, Rattan, & Dweck, 2012). Indeed, feelings ofbelonging are related to overall well-being (Ryan & Deci, 2000) as well as higher levels ofacademic self-efficacy and motivation (Freeman, Anderman, & Jensen, 2007). It is particularlyconcerning that students who belong to groups that are underrepresented in engineering feel lessconnected with their major, which is also generally related to problems with adjustment to thecollege environment (Dennis, Phinney, & Chuateco, 2005). To address the issues of retention inengineering majors, many colleges and universities have implemented programs to supportstudents in their first year (Purdie & Rosser, 2011). This paper will
audience that may not be peers or colleagues.References:[1] I. Direito, A. Pereira, and A. M. de Oliveira Duarte, “Engineering Undergraduates’ Perceptions of Soft Skills: Relations with Self-Efficacy and Learning Styles,” Procedia -Social and Behavioral Sciences, vol. 55, pp. 843–851, Oct. 2012. [2] M. M. Robles, “Executive Perceptions of the Top 10 Soft Skills Needed in Today’s Workplace,” Business Communication Quarterly, vol. 75.4, pp. 453–465, Oct. 2012.[3] J. C. Bean, “How Writing is Related to Critical Thinking,” in Engaging Ideas: The Professor’s Guide to Integrating Writing, Critical Thinking, and Active Learning in the Classroom, Ed. San Francisco, CA: Jossey-Bass, 2011, pp. 17-38.[4] D. Murray, “Teach
perspective, not just a view of short-term goals such as 12 quarterly results.4. Top management must be a role model, walking the talk. 12-5. Top management must inspire confidence by encouraging personal development of workers and simply 12 saying thanks.6. Top management must ensure that workers’ needs are met. 18 2 7. Individual goals must be recognized and respected. 8. The need for employee training and retraining must be recognized. 1>2 9. Employee self-efficacy beliefs and ideological values musl be enhanced.2G One of the strongest personality characteristics needed from top management in order to appropriately
study support this notion as only 10.0% of students’ comments noted that biology isuseful for their career.Future work on this project will involve analyzing the semantic differential scale data and alsorepeating the thematic analysis with other cohorts of students. Additional types of attitudestowards biology will also be explored, including utility value (and the other values involved withexpectancy value theory) and self-efficacy towards biology. This will be an important area toexplore because even though emotions do not seem to be the reason while anecdotallyengineering students may not be enjoying biology, these other psychological aspects couldpotentially explain this observation.References[1] I. Ajzen, "From intentions to actions: A
smallerteams ensure that each student will have more experience using each piece of hardware andhopefully promote self-efficacy and self-directed learning for high school students.The software involved in the course was revised to use open-source programs. Students will beusing the Arduino programming environment to interface with the SparkFun products. Thissoftware package has been, and will always be, an open source format with extensive librariesand example code provided. The computer aided design software used in the existing collegiatecourse was a proprietary software package called Solidworks (Dassault Systems, Inc.) but wasrevised for the new curricular implementations to an open source CAD software package calledSketchUp (Trimble Navigation
Paper ID #13709Sometimes, Faculty Matter: The Contribution of Faculty Support to FutureEngagementDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence.Prof. Diane Carlson Jones Ph.D, University of WashingtonProf. Rebecca A Bates, Minnesota State University, Mankato Rebecca A. Bates received the Ph.D. degree in electrical engineering from the
. Journal of Research in Science Teaching 33.6 (1996): 569-600. Web.[8] Carberry A, Waters C, Krause S, Ankeny C. “Unmuddying” Course Content Using Muddiest Point Reflections.Front Educ. 2013;Oct 23-26:937-942.[9] Krause S, Baker D, Carberry A, Koretsky M, Waters C. Muddiest Point Formative Feedback in Core MaterialsClasses with YouTube, Blackboard, Class Warm-ups and Word Clouds. Am Soc Eng Educ. 2013;ID7130.[10] Mosteller F. The “Muddiest Point in the Lecture” as a Feedback Device. J Harvard-Danforth Cent.1989;(April):10-21.[11] Baker, Thomas R., and Steven H. White. "The Effects of G.I.S. on Students' Attitudes, Self-efficacy, andAchievement in Middle School Science Classrooms." Journal of Geography 102.6 (2003): 243-54. Web.[12] Lim, Siew Yee
-regulated learning, self-efficacy,and general well-being [5]. In our study, we explored whether we could help students persist inengineering by encouraging such positive learning dispositions and behaviors.In this work-in-progress paper, we report preliminary results from a one-credit course called“Engineering the Mind.” We used design-based research and the Transtheoretical Model (TTM)of Health Behavior Change to design the course and assess the outcomes. The goal of the coursewas to encourage students to adopt positive learning dispositions and behaviors by teaching themhow the brain works.BackgroundDesign-based research (DBR) is a research method that evaluates theory-based interventions(that were developed in laboratory conditions) in complex
, thestudents who participated in these studies arguably experienced different high schoolenvironments and curricula, different ratios of women to men in science and mathematics pre-college courses, and different social norms and expectations than students – both male andfemale – do today. And some more recent research reports different findings: Mau,13 in a six-year study that followed eight graders who professed intent to pursue science and engineeringcareers, found that the only reliable predictors for persistence across race/ethnicity and genderwere academic preparation and math-self efficacy. All point to a continuing need for current datacollection using a reliable and valid predominantly quantitative instrument. The AWE StudentsLeaving
. Theirlogistic regression identified self-efficacy and physical fitness as positive predictors of freshmanretention, while judgment and empathy were negatively associated with persistence. Theyreported three reasons for freshman attrition: inability to handle stress, mismatch betweenpersonal expectations and college reality, and lack of personal commitment to a collegeeducation.Levin and Wyckoff gathered data on 1043 entering freshmen in the College of Engineering atPennsylvania State university 5. They developed 3 models to predict sophomore persistence andsuccess at the pre-enrollment stage, freshman year, and sophomore year. Eleven intellective and9 non-intellective variables were measured. For the pre-enrollment model, the variables bestpredicting
active learning has been confirmed in a lot research. For29 example, Freeman et al. [5] stated that the average exam scores were improved by about30 6% in active learning sections. Esmaeili and Eydgahi [6] provided that active motivation31 and learning strategies like perceived usefulness, self-efficacy, and attitude, influence32 under-representative students’ STEM course registration and learning.33 Engagement is the attention and efforts that students devote to their learning. In practice,34 when students are engaged, they can initiate action and exert intense effort in the learning35 tasks, and show positive emotions during an ongoing action [7]. Strayhorn et al.[8] reported36 that STEM students with more engaged learning
outcomeswere measured as dispositions, including interest, aspiration, motivation, confidence, and self-efficacy. A smaller number of studies also assessed knowledge in specific STEM careers.Overall, a small to moderate level of positive effect was observed (effect size mean = 0.379, SE= 0.064, 95%CI = 0.252 – 0.505, p < .001), with significant heterogeneity (Q (167) = 2418.355,p < .001), suggesting the need to explore potential moderator variables.Intervention characteristics revealed that 58% targeted underrepresented and/or underservedpopulations, 41% included explicit career development, and interdisciplinary content wascommon. Additionally, 56% of studies took place in informal settings. The study also consideredintervention format
challenging for teachers to implement will inform the project’scontinued. refinement of STEM-ID materials and its professional development model. Thesedata will also inform future research, including the investigation of connections between teacheroutcomes, such as increased self-efficacy and the development of PCK, and successfulimplementation of STEM-ID. As the scope of the project expands in Year 3 to include newteachers and schools, we will continue to collect data exploring how STEM-ID unfolds indiverse classrooms and the array of factors that may account for variations in implementationpatterns across teachers and school settings. References[1] J. Century and A. Cassata, A. “Implementation research
regarding major enrollment.Helpful FactorsThe survey asked participants to rate on a 5-point Likert any help they acquired from theinternship, the graduation project, professional societies, career centers, and professionalcertificates (1= Not helpful at all, 5= Very helpful). The internship appears to be very helpful (μ=4.2). Previous studies have shown the internship as one of the most important factors that helpsstudents work independently and take decisions17. Internships are viewed as a positivedevelopmental experience for college students with several favourable outcomes such asimproving career decision-making and self-efficacy and allowing the student to acquire jobrelevant skills18. The graduation project also seems to be a supportive