composition of teams (considering factors like gender, ethnicity, major, GPA, prior circuit experience, and year in school) influence student perceptions of the CLE and, consequently, student outcomes?To address these questions, we investigate the relationships in our survey data set throughquantitative analysis, focusing on two dependent variables: student performance, in terms of theirexam scores (Exam), and Collaborative Learning Experience (CLE), a measured variable from asurvey questionnaire at the end of the semester about the student’s perception of thecollaborative learning experience. We in turn examine how these dependent variables may beaffected by other collected measures, such as task and general self-efficacy, test anxiety
supports students in building self-efficacy in their abilitiesas electricity and electronics students. 1IntroductionActive learning is a teaching pedagogy which has gained traction in higher education as aneffective method for engaging learners in the process of attaining new knowledge [1]. It movesthe student from a passive role in hearing and absorbing information, to an active participant inconstructing new knowledge, typically through hands-on exercises. Active learning is an umbrellaterm used to describe many different types of practices, including role playing activities, pairprogramming, project-based learning, and many others [2].Many introductory electricity and electronics courses are ripe
Act [3]. The RET program included a 6-week paidinternship in multiple integrated circuit (IC) design labs at Oklahoma State University for highschool and community college teachers to learn about semiconductors and chip designfundamentals. After the RET program, teachers were also required to translate their researchexperience into new curriculum modules. The RET program is also mutually beneficial to the USsemiconductor industry and teachers. It benefits the industry by encouraging teachers andstudents to become familiar with new technologies. Teachers gain from enhanced self-efficacy atthe same time [4].However, it is challenging to measure the progress of teachers in acquiring semiconductorknowledge. In contrast to other aspects of
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
cognitive factors that exert significantinfluence on individuals' career-related behaviors and decisions. These expectations function asanticipatory beliefs concerning the consequences of specific actions within a career context [5].Positive OE bolsters motivation, shapes goal-setting processes, guide decision-making, andcontributes to individuals' self-efficacy beliefs [4]. In essence, OE plays a pivotal role in shapingindividuals' career trajectories and development by providing a cognitive framework throughwhich they evaluate potential outcomes and make well-informed choices [4].Bandura [4] delineated three types of OE, suggesting that positive outcomes can serve asincentives while negative outcomes may act as disincentives to persist in a
to build this version of the circuitwere successful.Figure 3: LED calculator circuit using (a) discrete components and (b) an input/output PCB [31]Intellectually challenging PBL projects that maintain a high success rate are vital for building self-efficacy among students. In the summer 2019, a PCB version of the LED calculator activity wasdeveloped that uses surface-mounted components for the 5V regulator, switches, LEDs, andresistors. See Figure 3b. By abstracting away the complex input and output circuitry, campers wereable to focus on the wiring connections between the switches, logic gates, and LED outputs,thereby increasing the success rate of building the LED calculator to 100% for the 36 students whoparticipated when the camp was
circuits.This can imply that instructors focused on improving students’ learning in classes by introducingnew pedagogies or interventions with more direct effects, rather than by increasing students’motivation such as their self-efficacy in learning circuits or sense of belonging in engineering. Inother words, it is concluded that most of the focus was on “how to learn circuits better” not on“why you need to learn circuits.”From 2014 to 2016, metacognitive and cognitive interventions were not as popular, with mostinterventions being related to flipped classrooms and management strategies. During 2017 and2018, interventions were mostly related to metacognition and flipped classrooms. However, afterthis period, from 2019 to 2020, the focus shifted to
13 48.15% White/Caucasian 10 37.04% Indian Subcontinent 5 18.52% Hispanic/Latino 1 3.70% Middle Eastern 1 3.70%Table 1. Participant demographics. For Race, multiple options could be selected simultaneously.MeasuresA demographics form asked participants to self-report race, sex (with 4 options), year in school,college major, and parental education. The motivation survey--not discussed here--asked aboutinterest, valuing of the course, perceived non-monetary costs of being in the course, self-efficacy, self-concept, mastery
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
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
teaching, learning, and retention of first year students. J. Fac. Dev. 21(1), pp. 5-21.[37] J. MacGregor, J. L. Cooper, K. A. Smith, and P. Robinson, Editors. (2000). Strategies for energizing large classes: From small groups to learning communities. New Dir. Teach. Learn. 81.[38] M. M. Jameson and B. R. Fusco. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Educ. Quart. 64(4), pp. 306-322.[39] M. Dang and K. Nylund-Gibson. (2017). Connecting math attitudes with STEM career attainment: A latent class analysis approach. Teach. Coll. Rec. 119(6), pp. 1-38.[40] H. M. Watt, J. S. Hyde, J. Petersen, Z. A. Morris, C. S. Rozek