ability in an engineeringlaboratory. This study uses an established survey to assess the experimental self-efficacy (ESE)of students enrolled in a fourth-year chemical engineering laboratory course at the University ofVirginia. The survey measures ESE using four factors: conceptual understanding, proceduralcomplexity, laboratory hazards, and lack of sufficient resources. Results from the ESE surveysuggest that students had higher confidence in their conceptual understanding and their ability toavoid laboratory hazards. This study also analyzes students’ troubleshooting abilities using anexisting chemical reactor system (a water gas shift reaction). Students were asked to use theexperimental equipment to perform an activity. To succeed, students
high.However, the authors did not find a correlation between self-efficacy and exam grades. While theauthors attributed this to a small sample size, both troubleshooting and the measure of self-efficacy primarily focused on data collection and documentation during experiments (Domain 2).We wonder if high self-efficacy related to Domain 2 might be a weaker correlate of learning thanother domains, in part because students may experience what scholars have named “deceptiveclarity,” a phenomenon in which students underestimate how complex something is based onhaving completed a simplified version of the task [9]. The activities associated with collectingdata and monitoring during the experiment are somewhat more straightforward compared toactivities in
end-of-semester presentations with direct feedback from mentors. Based on thefeedback from Fall 2021, the implementation was redesigned and introduced in Spring 2022.Two problems were assigned in Spring 2022 along with mentor interactions and students’presentations.Instrument Development and EmploymentThe study used two survey instruments to measure self-efficacy and engineering identity, whichwere chosen based on literature and piloted in two different courses. The surveys wereimplemented at the beginning and end of the Spring 2021, Fall 2021 and Spring 2022 semesters.Additionally, the study conducted interviews with randomly selected students, stratified bygender, at the beginning and end of both semesters, as well as with two mentors and
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
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
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
[1].As with most changes in curriculum implementation, challenges remain. The most documentedchallenges highlight student understanding, lesson timeliness, and school district acceptance.Other comments focus on challenges in STEAM assessment [2]. Despite STEAM educationpromoting creativity and self-efficacy [4], new tools need to be developed and designed forintegration in order to serve a variety of learners and successfully communicate complexscientific ideas.One of the most traditional scientific communication tools is the textbook, often text heavy withsupporting visuals. Textbooks and other standard tools rely on active cognitive participation bythe reader. Unfamiliarity or predisposed conflicting beliefs can easily sway readers away
, students’ SB within a university includes their social andacademic belonging. Social belonging relates to positive social interactions with peers, faculty,and campus community, whereas academic belonging relates to academic performance,academic self-efficacy, curriculum motivation, and perceptions of belonging within aprofessional discipline [4, 5]. SB is, therefore, one of the main contributors to students’ academicsuccess, persistence, and overall well-being. The literature reports that the lack of SB isperceived differently by different student groups and is critical for underrepresented students(e.g., first-generation and low socioeconomic status) to persist in college after the first year ofstudy [6]. In engineering, women and
achievement in engineering. Journal of Educational Psychology.Zabriskie, C., R. Henderson, and J. Stewart. 2018. “The Importance of Belonging and Self-Efficacy in Engineering Identity.” AERA Open, January. https://par.nsf.gov/biblio/10058182-importance- belonging-self-efficacy-engineering-identity. 12Does endorsement of masculine ideals predict sense of belonging and identity over performance and peer interactions?Appendix A:Questions from each of the five instruments used in this paper in the order presented here. Allquestions had a 7-point Likert scale. Strongly Somewhat
: 10.1109/TALE.2018.8615271.[2] I. Ngambeki, O. Dalrymple, and D. Evangelou, “Decision Making In First Year Engineering: Exploring How Students Decide About Future Studies And Career Pathways,” in 2008 Annual Conference & Exposition Proceedings, Pittsburgh, Pennsylvania: ASEE Conferences, Jun. 2008, p. 13.351.1-13.351.12. doi: 10.18260/1-2--4247.[3] J. Sperling, M. Mburi, M. Gray, L. Schmid, and A. Saterbak, “Effects of a first-year undergraduate engineering design course: survey study of implications for student self- efficacy and professional skills, with focus on gender/sex and race/ethnicity,” IJ STEM Ed, vol. 11, no. 1, p. 8, Feb. 2024, doi: 10.1186/s40594-024-00467-6.[4] J. R. Power, D. Tanner, and J. Buckley, “Self
related to each construct. The MLSQ measures two different scales, motivation and learningstrategy. The motivation scale measures intrinsic and extrinsic goals together with the task value, whichassesses students’ goals, their belief in their ability to succeed in chemistry and their anxiety about achievingtheir desired test scores in chemistry. The learning strategy assesses students’ management of differentresources. The Litman and Spielberger curiosity assessment instruments were used to measure students’ levelof curiosity, self-efficacy, task value, learning strategies and test anxiety (Table 1).Table 1: MLSQ Table Item/Scale Sample Question Code Intrinsic Goal In a class like
, highlighting their value in engineering education.References 1. Feisel, L. D., & Rosa, A. J. (2005). The Role of the Laboratory in Undergraduate Engineering Education. Journal of Engineering Education, 94(1), 121–130. https://doi.org/10.1002/j.2168- 9830.2005.tb00833.x 2. Crockett, C., Prpich, G., & Smith, N. (2023, June). Experimental Self-Efficacy and Troubleshooting Ability in a Chemical Engineering Laboratory. In 2023 ASEE Annual Conference & Exposition. 3. Siegmund, B., Perscheid, M., Taeumel, M., & Hirschfeld, R. (2014, November). Studying the advancement in debugging practice of professional software developers. In 2014 IEEE International Symposium on Software Reliability Engineering Workshops
sections to improve studentpreparation with reasonable expectations of required effort. 15References[1] M. A. Vigeant, D. L. Silverstein, K. D. Dahm, L. P. Ford, J. Cole, and L. J. Landherr, “How We teach: Unit Operations Laboratory,” in ASEE Annual Conference & Exposition Proceedings, 2018, pp.1-13. https://peer.asee.org/30587.[2] J. Brennan, S. E. Nordell, and E. D. Solomon, “Impact of Course Structure on Learning and Self-Efficacy in a Unit Operations Laboratory,” in ASEE Annual Conference & Exposition Proceedings, 2017, pp.1-23. https://peer.asee.org/28462[3] E. S. Vasquez, Z. J. West, M. DeWitt, R. J
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chemical engineering.The paper delves into key aspects such as how students engage in decision-making concerningsocial and environmental challenges in specific geographical contexts, how they integrate DEIinto company practices and teamwork dynamics, and how they assess the necessity andimplications of sustainable technologies. The analysis also evaluates the redesign’s impact onstudent self-efficacy, learning outcomes, and the quality of their projects.2. BackgroundThere has been an increased focus to address sustainability and social impacts in engineeringeducation. So much as that ABET has updated its 2022-2023 Student Outcome 2 to reflect thisby emphasizing “an ability to apply engineering design to produce solutions that meet specifiedneeds
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