. K., & Riccio, A.Promoting science, technology, and engineering self-efficacy and knowledgefor all with an autism inclusion maker program. Frontiers in Education, 5.2020. [Online]. Available: https://doi.org/10.3389/feduc.2020.00075.[Accessed January 23, 2021].[7] Wang, C., & Burris, M. A. Photovoice: concept, methodology, and use forparticipatory needs assessment. Health education & behavior: the officialpublication of the Society for Public Health Education, 24(3), 369–387. 1997.[Online]. Available: https://doi.org/10.1177/109019819702400309. [AccessedMarch 18, 2021].[8] Kornblau, B.L. & Robertson, S.M. Special Issue on Occupational TherapyWith Neurodivergent People. American Journal of Occupational Therapy.75(3
2023,shortly after they completed their respective interventions.SurveysTo understand the interventions’ impact on sense of belonging and engineering identity, programparticipants responded to a retrospective pre- and post-questionnaire that combined two validatedsurvey instruments: Godwin’s [9] engineering identity scale and Hanauer et al.’s [11] measure ofpersistence in the sciences (PITS). The PITS combines five other validated instruments thatmeasure project ownership-emotion, project ownership-content, science identity, self-efficacy,scientific community values, and networking on a five-factor scale. These variables have beenshown to predict psychological factors that influence students’ intent to stay in science andengineering
University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and instructional support on engagement and motivation in the classroom while her engineering workplace research focuses on the role of relatedness, autonomy, and competence needs on persistence and fulfillment.Sep Makhsous, University of Washington ©American Society for Engineering Education, 2024 A Comparative Analysis of Natural Language Processing Techniques for Analyzing Student Feedback about TA SupportAbstractThis paper advances the exploration of Natural Language Processing (NLP) for automatedcoding and analysis of short-answer, text-based data collected from
program for the social, behavioral, and biomedical sciences,” Behavior Research Methods, vol. 39, no. 2, pp. 175–191, May 2007, doi: 10.3758/BF03193146.[38] M. Hainselin, A. Aubry, and B. Bourdin, “Improving Teenagers’ Divergent Thinking With Improvisational Theater,” Front. Psychol., vol. 9, p. 1759, Sep. 2018, doi: 10.3389/fpsyg.2018.01759.[39] J. A. Mourey, “Improv Comedy and Modern Marketing Education: Exploring Consequences for Divergent Thinking, Self-Efficacy, and Collaboration,” Journal of Marketing Education, vol. 42, no. 2, pp. 134–148, Aug. 2020, doi: 10.1177/0273475318822087.[40] P. Felsman, S. Gunawardena, and C. M. Seifert, “Improv experience promotes divergent thinking, uncertainty tolerance, and affective well
learning," 2016 IEEE 8th International Conference on Engineering Education (ICEED), Kuala Lumpur, Malaysia, 2016, pp. 137-142, doi: 10.1109/ICEED.2016.7856059.[19] E. F. Redish, “A Theoretical Framework for Physics Education Research: Modeling Student Thinking,” Paper presented at the International School of Physics, "Enrico Fermi", Course CLVI, Varenna, Italy, July 15-25, 2003.[20] Y. Jin, J. Sun, H. Ma and X. Wang, "The impact of different types of scaffolding in project-based learning on girls' computational thinking skills and self-efficacy," 2021 Tenth International Conference of Educational Innovation through Technology (EITT), Chongqing, China, 2021, pp. 362-366, doi: 10.1109/EITT53287.2021.00077.[21] A. Saparon, B. C
Paper ID #43282Students’ Use of The Engineering Design Process to Learn Science (Fundamental)Mr. Diallo Wallace, Purdue University Diallo Wallace is currently pursuing a Ph.D. in Engineering Education at Purdue University focusing on the benefits of integration of physics first and engineering curriculums for student self-efficacy in engineering. Diallo holds a Bachelor of Science in Electronics Engineering and a Bachelor of Arts in Mathematics from the University of Illinois. At the graduate level, he has attained a Master of Science in Astronautical Engineering from the Naval Postgraduate School and a Master of Project
specific practices of inclusive pedagogy that faculty might implement to fostergreater belonging in their classrooms.Faculty play an important part in students’ sense of belonging. Rainey et al. [30] found thatwomen “were less likely to feel a sense of belonging” when compared to men and that womenstudents broadly did not feel as though their instructors wanted them to succeed (our previousresearch [3] echoes some of these claims.) However, when faculty emphasized their availabilityand willingness to help students with questions and cultivated an atmosphere of mutual respect,all students experienced a greater sense of belonging [30].In a recent study of early career engineering students [31], students’ self-efficacy and belongingwere examined
report for this lab exercise was easy to S10: Lab report grading was reasonable. prepare by the deadline. Figure 12. Survey report of Category 2 statements. The number value above each bar indicates the actual count of students responded.Figure 13 shows the Likert distributions for statements S11–S16, which comprise Category 3. TheLikert distributions for the statements about learning self-efficacy are again strongly positive, with 12at least 55% indicating that they Agree or Strongly Agree with all statements. The mostdisagreement occurs for S16 about the lab exercise making the students excited to work withpumps, for which a sum of 16.5% of respondents Disagree or Strongly Disagree. In
-Pohl, “Self-efficacy and subjective task values in relation to choice, effort, persistence, and continuation in engineering: an Expectancy-value theory perspective,” European Journal of Engineering Education, vol. 45, no. 1, pp. 151–163, Jan. 2020, doi: 10.1080/03043797.2019.1659231. [6] J. P. Monat, T. F. Gannon, and M. Amissah, “The Case for Systems Thinking in Undergraduate Engineering Education,” International Journal of Engineering Pedagogy (iJEP), vol. 12, no. 3, pp. 50–88, May 2022, doi: 10.3991/ijep.v12i3.25035. [7] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, vol. 94, no. 1, pp. 103–120, Jan
software simulators. Following the COVID-19 outbreak, the problem of incorporating online labs in theircurricula is faced by many engineering programs. Therefore, it is imperative to design such labsin the format that facilitates students’ success and self-efficacy. Students should have ampleability to interact with their peers and instructors, while being engaged in experiential learningwith sufficient hands-on learning experiences leading to a deeper understanding of engineeringconcepts. Well-designed online labs can also refresh students’ enthusiasm for engineering, aswell as increase the retention rate for engineering students [11]. The goal of the reported project was to develop high-impact online lab teaching practicesand to
graduate school, and I Am First program for first generation students. Inaddition, the BE-TEC program is extending or adapting successful evidence-based practicesfrom its Track 1 program. The planned support services and programs have been selected toincrease academic learning, completion, and career or graduate school placement, as well as toassist in soft-skills development which is so important for graduates such as communication,teamwork, self-efficacy, leadership, and knowledge integration.NSF BE-TEC Program AssessmentTo assess the outcome of our NSF BE-TEC program, a study has been started by the institution’sBusiness Intelligence and Research Services to compare the NSF BE-TEC students to twocontrol groups: UVU students
concise) [42],they recommended another scale that consisted of 36 items in four constructs - critical self-evaluation, learning self-efficacy, self-determination, and effective organization for learning[43]. The critics asserted that the recommended scale was more concise and highlightedtheoretical dimensions required for assessing SDL skills in medical students. The inconsistenciesof Guglielmino’s and other scales, as well as the cost implication of using some of them, servedas discouraging factors for their adoption in the current study.As illustrated, validity studies on SDL scales have often led to the creation of new scalesconsidered more consistent than the previous one. Other examples of SDL scales that emergedfrom the validity studies of
Retention Model Based on Factors that Most Influence Student Success,” Journal of the Scholarship of Teaching and Learning, vol. 21, no. 1, Art. no. 1, May 2021, doi: 10.14434/josotl.v21i1.30273.[17] S.S. Whorton, "Academic self-efficacy, academic integration, social integration, and persistence among first-semester community college transfer students at a four-year institution" (Doctoral dissertation, Clemson University), 2009.[18] L. C. Freeman, "Social Network Analysis: Definition and History," Encyclopedia of Psychology, vol. 7., A. E. Kazdin, Ed., New York, NY, US: Oxford University Press, 2000, pp. 350-351.[19] A. Erkan, "Effects of social capital on academic success: A narrative synthesis
extend existing theories of identity in general [14] and STEM identity inparticular [15] to explicate a “Communication Theory of STEM Identities” [4-5]. Thistheoretical model is multi-layered and foregrounds interactional and relational aspects of STEMidentities. Both formal peer mentoring and informal peer relationships between Scholars (andother STEM students) were key components to their developing STEM identities. At the sametime, this theoretical model also includes layers for individual traits (e.g., STEM self-efficacy)and social identities and theorizes “gaps” in STEM identities that may pose challenges to STEMstudent success.Individual OutcomesFor each campus, brief descriptions of findings related to the unique interventions each
focus of this paper, has experiencedsimilar outcomes. A notable uptick in graduation rates at CU occurred between 2009 and 2015,with six-year degree completions reaching 62.2%, yet recent years have witnessed plateaus inretention rates. Persistent disparities befall minoritized students [1], [2]. These stagnantcompletion rates occur in the face of substantial need for increased engineering talent, bothnationally and globally, to support fields including technology, security, transportation, andinfrastructure.The causes of student attrition from engineering are multifaceted and vary across demographics.A range of known issues includes an unwelcoming climate, conceptual difficulties in corecourses that hamper progress toward degree, lack of self
students (Part II). ASEE Annual Conference and Exposition, Conference Proceedings.Shell, D. F., & Husman, J. (2008). Control, motivation, affect, and strategic self-regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459. https://doi.org/10.1037/0022-0663.100.2.443Schell, W. J., & Hughes, B. E., & Tallman, B., & Annand, E., & Beigel, R. M., & Kwapisz, M. B. (2019, June), Exploring the Relationship Between Students’ Engineering Identity and Leadership Self-Efficacy Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32817Schnitker, S. A. (2012). An examination of patience and
, game-based learning, and emergent technologies for STEM or language learning. ©American Society for Engineering Education, 2024 WIP: Managing and Assessing Students in Hybrid Software Project ClassesAbstractOne of the authors teaches two courses focused on software engineering and game development.Each of these courses has in-person and asynchronous online students taught as a single courseby the same instructor. Using active learning and authentic assessment techniques, the authorssought to improve the students’ levels of engagement. The students in both courses learn to useagile software engineering practices to deliver incremental software prototypes. Students in bothcourses were given surveys measuring
to theSTEMcx Environmental Justice internship have implications for persistence in STEM (Grahamet al., 2013), pathways into engineering (Godwin & Kirn, 2020; Kirn & Benson, 2018), and self-efficacy (Newton et al., 2020). Rather, to motivate this research I rely on three anecdotalobservations I made during the 2022 pilot of the STEMcx Environmental Justice Internship.These anecdotes will make clear the critical need for phenomenological exploration of theexperiences of Black and underrepresented students in out-of-classroom engineering and scienceinternships and other pre-college work experiences.During the summer 2022 pilot environmental justice internship cohort, I had many opportunitiesto engage with the interns in informal
learning activities, benefitingboth K-12 students and Ambassadors. K-12 students are provided with tutoring, STEMcompetition coaching, and other support while Ambassadors learn essential professionalism,communication, and leadership skills. A pilot-scale study with ten schools within the ShelbyCounty Schools district during the 2015-16 academic year showed that students working withAmbassadors achieved math performance goals at rates of 12% (middle school) and 30%(elementary) higher than that of their peers [27]. It also revealed increased confidence incommunication and leadership abilities and STEM self-efficacy ratings from the Ambassadors.Urban STEM scholars were offered the opportunity to join the STEM Ambassador program butwere not required
, ranked from lower tohigher. The lower-level learning outcomes are often a prerequisite to achieving higher-orderlearning outcomes. However, when failing to solve a complex problem, students often fail toprecisely evaluate what component knowledge they lack or what skills they need. This canhinder the student’s metacognitive regulation of their learning progress, lower their self-efficacy,and stifle their motivation. Learning activities and assessments that explicitly communicate andscaffold students’ learning progress across the different levels of learning outcomes will providestudents with a better opportunity to plan and adjust their learning plan accordingly.Scaffolding is the process that aims to deconstruct a complex assignment into
of the Research Self-Efficacy Scale,” Journal of Career Assessment, vol. 4, no. 1, pp. 59-75, July 1996, doi: 10.1177/106907279600400104.Appendix A: Survey QuestionsTable 1. Example questions for each scale included in the survey. Number Response Scale of Example Question Type Questions Dyadic 17 Rate to what extent the following statements are true Likert Psychological for you: I feel like my research advisor makes 1-9 Safety
] “Getting Under the Hood: How and for Whom Does Increasing Course Structure Work? | CBE—Life Sciences Education.” Accessed: Feb. 08, 2024. [Online]. Available: https://www.lifescied.org/doi/10.1187/cbe.14-03-0050[19] G. Trujillo and K. D. Tanner, “Considering the Role of Affect in Learning: Monitoring Students’ Self-Efficacy, Sense of Belonging, and Science Identity,” CBE—Life Sci. Educ., vol. 13, no. 1, pp. 6–15, Mar. 2014, doi: 10.1187/cbe.13-12-0241.
Education, vol. 53, no. 3, pp. 390– 396, Aug. 2010, ISSN: 0018-9359, 1557-9638. DOI: 10.1109/TE.2009.2025266.[10] I. Vessey, “Expertise in Debugging Computer Programs: An Analysis of the Content of Verbal Protocols,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 16, no. 5, pp. 621–637, Sep. 1986, ISSN: 0018-9472. DOI: 10.1109/TSMC.1986.289308.[11] C. Crockett, G. Prpich, and N. Smith, “Experimental Self-Efficacy and Troubleshooting Ability in a Chemical Engineering Laboratory,” en, in 2023 ASEE Annual Conference, Jun. 2023. [Online]. Available: https://peer.asee.org/43573.[12] A. Schaafstal, J. M. Schraagen, and M. Van Berl, “Cognitive Task Analysis and Innovation of Training: The Case of Structured
, C., Menold, J., and McComb, C. (November 17, 2020). "Assessing Engineering Design: A Comparison of the Effect of Exams and Design Practica on First-Year Students’ Design Self-Efficacy." ASME. J. Mech. Des. May 2021; 143(5): 052301.
also enrollstudents who are different from those beginning their studies at four-year institutions in manyways [40]. This does not entirely discount the value of single-institution studies, however. Astudy [41] conducted at Louisiana Tech University explored the impact of backgroundknowledge on the success of freshman engineering students, as measured by grades andgraduation rates. The author acknowledges the limitation of analyzing data from a singleuniversity, and also notes that the focused examination of a specific context provided a nuancedunderstanding that might be obscured by institutional variation.Collectively, these studies underscore the potential benefit of a nuanced approach that considersinstitutional differences in the context
processof materials discovery, which involves the identification of new materials with specificfeatures, served as the foundation for instructing the participants on the fundamental conceptsof ML [29].Therefore, this paper serves to report the module design and a hands-on technique that wassuccessfully implemented by ACENPEE to help students of various engineering backgroundsdevelop self-efficacy in ML. The next sections describe the approach used for the workshop,the discussion of students’ perceptions of the learning experience assessed through the learner’ssatisfaction survey, as well as the concluding section. The designed modules and snippets ofthe scripts used during the workshop are described in the appendix section. 2. Platforms, tools
education; diverse students approach problem-solving in innovativeways when collaboration is not only supported but expected as an integral part of the learningprocess [13]. Additionally, educators and mentors should assess students' skills, prior knowledge,and experiences and use that information to tailor their teaching strategies to individual needs.The strengths students display such as resilience and persistence are often expected personalattributes, however, as [14] would contend, they are attributes that educators need to help buildup and support.Educators that learn about their student’s strengths have an opportunity to encourage deeperlearning, heightened levels of self-efficacy, and persistence in engineering programs that lead tothe
underrepresentedstudents still face despite ongoing intervention measures [6]. These obstacles include lateexposure to STEM career pathways, overrepresentation of historically underrepresented studentsin under resourced school districts, implicit biases in the educational system, socio-economicbarriers to participation in extracurricular activities, a lack of easily accessibly STEM rolemodels, historically unwelcoming academic culture in STEM disciplines, and low perceptions ofthe aptitude and drive by educators along their educational [7,8].Past research has provided evidence that intentionally introducing black students into STEMfrom an early age can increase their motivation, self-efficacy, and perseverance in STEM field[9]. Additionally, culturally relevant
engineering and students’ expected success inengineering were found to decrease over the first year of study for first-year engineeringstudents, especially for women students [19]. Reasons for these feelings could be related toidealistic expectations of college or engineering in general, more difficult assignments thanexperienced in high school, or comparing to peers in a high-achieving peer group. In addition,students’ self-efficacy decreased over the first year of study, particularly for women students.However, both men and women experienced similar decreases in their value-related beliefs ofengineering [19].Importantly, researchers suggest that the potential impacts of the decrease in these expectanciesand value-related constructs on students
Studies."[64] P. Moen, J. Robison, and V. Fields, "Women's work and caregiving roles: A life course approach," Journal of Gerontology, vol. 49, no. 4, pp. S176-S186, 1994.[65] C. Marlow, "Coping with multiple roles: Family configuration and the need for workplace services," Affilia, vol. 8, no. 1, pp. 40-55, 1993.[66] G. H. Coetzer, B. Hanson, and R. Trimble, "The mediating influence of role stress on the relationship between adult attention deficit and self-efficacy," Journal of Business and Management, 2009.[67] G. H. Coetzer and L. Richmond, "An empirical examination of the relationships between adult attention deficit, personal task management systems and role stress," Journal of Behavioral and Applied Management, vol