Psychology, vol. 54, no. 6, pp. 1063–1070, 1988. doi:10.1037//0022-3514.54.6.1063.[11] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering self‐efficacy: A validation study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016. doi:10.1002/jee.20121.[12] Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students' engineering self‐efficacy: A validation study. Journal of Engineering Education, 105(2), 366-395.[13] Baker, D., Krause, S., & Purzer, S. (2008, June). Developing an instrument to measure tinkering and technical self efficacy in engineering. In 2008 Annual
populations.As the institution being studied, the junior-level MSE lab courses have robust computational modelingand simulation curricular content. Our findings therefore suggest a strong positive impact that frequentuse of simulation tools in MSE courses can have on students’ attitudes toward these tools in the contextof engineering work. However, because we did not directly measure students’ actual competency, butonly their self-efficacy, it is not clear whether their lack of confidence with these tools accurately reflectsa low level of proficiency or whether it reflects a greater level of appreciation of the complexity of thesetools, which novices would not appreciate. It would be valuable for a future study to examine therelationship between actual
complete a design project. Buildingon our previously reported work, this paper investigates students’ reported ability and self-efficacy as it relates to a design framework and mindset in a restructured materials designcapstone course. In AY 2022-23, a two-semester capstone sequence was piloted to improve thestudents’ design experience via a fundamental restructuring of the course elements, replacing thetraditional, one-semester course. In AY 2023-24, the two-semester sequence was formalized inthe course catalog with over 50 students taking the two-course sequence.In this restructuring, two frameworks were integrated in the course content: Human-CenteredDesign (HCD) framework, a method to formalize the design process in discrete stages, and
extension of these approaches, in which apublished paper is used to model formatting and technical writing standards, particularly for datapresentation in figures and tables, captioning, and referencing. The activity was designed tosupplement instructor provided lab report guidelines and rubrics with an active learning exerciseto enhance student’s self-efficacy around report writing and foster self-regulated learning.Self-regulated learning, or the ability a student has to control their own learning environment, isinfluenced by cognition, metacognition, and motivation [4]. While it takes decades to developthe skills of self-regulated learning, instructors can provide students with the tools needed toprogress from fully dependent to more autonomous
one’sattitude/motivation, self-efficacy, and experience with technology. How a student views andvalues their education will influence how seriously they interact with an online course [3]. For anonline class, it is up to the student to participate in class and interact with the course.Student engagement can be enhanced by improved instructional techniques. Methods ofteaching can be broken down into four categories; instructor centered, interactive,individualized, and experiential [4]. Instructor centered learning primarily involves one-waycommunication from the instructor to the students. Questions from instructor to the whole classis also a form of an instructor centered strategy; this method primarily facilitates passive learningfor the student which
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] “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.
Analytics.” Accessed: Oct. 06, 2024. [Online]. Available: https://lit.gse.harvard.edu/makerspace-analytics[2] J. Eckhardt, C. Kaletka, B. Pelka, E. Unterfrauner, C. Voigt, and M. Zirngiebl, “Gender in the making: An empirical approach to understand gender relations in the maker movement,” Int. J. Hum.-Comput. Stud., vol. 145, p. 102548, Jan. 2021, doi: 10.1016/j.ijhcs.2020.102548.[3] A. M. K. Schauer, H. Schaufel, and K. Fu, “The Makeup of a Makerspace: The Impact of Stereotyping, Self-Efficacy, and Physical Design on Women’s Interactions with an Academic Makerspace,” Eng. Stud., vol. 15, no. 2, pp. 122–143, May 2023, doi: 10.1080/19378629.2023.2224016.[4] I. Decker, “Knitting and Crochet Today: Statistics, Trends, and More
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