Matching Items (2)
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- All Subjects: Engineering students
- Creators: Carberry, Adam
Description
Conceptual knowledge and self-efficacy are two research topics that are well-established at universities, however very little has been investigated about these at the community college. A sample of thirty-seven students enrolled in three introductory circuit analysis classes at a large southwestern community college was used to answer questions about conceptual knowledge and self-efficacy of community college engineering students. Measures included a demographic survey and a pre/post three-tiered concept inventory to evaluate student conceptual knowledge of basic DC circuit analysis and self-efficacy for circuit analysis. A group effect was present in the data, so descriptive statistics were used to investigate the relationships among students' personal and academic characteristics and conceptual knowledge of circuit analysis. The a priori attribute approach was used to qualitatively investigate misconceptions students have for circuit analysis. The results suggest that students who take more credit hours score higher on a test of conceptual knowledge of circuit analysis, however additional research is required to confirm this, due to the group effect. No new misconceptions were identified. In addition to these, one group of students received more time to practice using the concepts. Consequently, that group scored higher on the concept inventory, possibly indicating that students who have extra practice time may score higher on a test of conceptual knowledge of circuit analysis. Correlation analysis was used to identify relationships among students' personal and academic characteristics and self-efficacy for circuit analysis, as well as to investigate the relationship between self-efficacy for circuit analysis and conceptual knowledge of circuit analysis. Subject's father's education level was found to be inversely correlated with self-efficacy for circuit analysis, and subject's age was found to be directly correlated with self-efficacy for circuit analysis. Finally, self-efficacy for circuit analysis was found to be positively correlated with conceptual knowledge of circuit analysis.
ContributorsWhitesel, Carl Arthur (Author) / Baker, Dale R. (Thesis advisor) / Reisslein, Martin (Committee member) / Carberry, Adam (Committee member) / Arizona State University (Publisher)
Created2014
Description
There has been a growing emphasis on the education of future generations of engineers who will have to tackle complex, global issues that are sociotechnical in nature. The National Science Foundation invests millions of dollars in interdisciplinary engineering education research (EER) to create an innovative and inclusive culture aimed at radical change in the engineering education system. This exploratory research sought to better understand ways of thinking to address complex educational challenges, specifically, in the context of engineering-social sciences collaborations. The mixed methods inquiry drew on the ways of thinking perspectives from sustainability education to adapt futures, values, systems, and strategic thinking to the context of EER. Using the adapted framework, nine engineer-social scientist dyads were interviewed to empirically understand conceptualizations and applications of futures, values, systems, and strategic thinking. The qualitative results informed an original survey instrument, which was distributed to a sample of 310 researchers nationwide. Valid responses (n = 111) were analyzed to uncover the number and nature of factors underlying the scales of futures, values, systems, and strategic thinking. Findings illustrate the correlated, multidimensional nature of ways of thinking. Results from the qualitative and quantitative phases were also analyzed together to make recommendations for policy, teaching, research, and future collaborations. The current research suggested that ways of thinking, while perceived as a concept in theory, can and should be used in practice. Futures, values, systems, and strategic thinking, when used in conjunction could be an important tool for researchers to frame decisions regarding engineering education problem/solution constellations.
ContributorsDalal, Medha (Author) / Archambault, Leanna M (Thesis advisor) / Carberry, Adam (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2019