Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Buket D Barkana, University of Bridgeport; Ioana A. Badara, University of Bridgeport; Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ausit Mahmood, University of Bridgeport

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Diversity

theiracademic growth and development in science-related fields and a transformation of identity from student toprofessional, thereby promoting field-specific self-efficacy [9,10]. To date, undergraduate students were invited tocomplete the engineering design self-efficacy (EDSE) instrument to evaluate their engineering self-efficacy levels.The EDSE instrument will be used again at the end of the academic year to monitor students' engineering self-efficacychanges during their course participation. This 36-item questionnaire has been designed to measure students' self-concepts toward engineering design tasks [20]. It assesses four areas related to engineering identity development: self-efficacy, motivation, expectancy, and anxiety. Our students showed

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Zhiqing Lu; Herschel Pangborn; Katie Fitzsimons

-cost components. Table shows all components in thefinal kit. Comparing with the existing kits, we reduce the modified kit cost about 30% (a reductionof approximately $70USD), and the consolidation reduced the shipping cost by two-thirds.AssessmentTo assess the impact of cross-curricular use of an electronics kit on Mechanical Engineeringstudents. We developed a 6-point Likert Scale pre and post survey based on measures developedby Mamaril et al [20] to evaluate students’ self-efficacy in prototyping, coding, and engineeringskills. The complete pre and post surveys are in Appendix 3 and 4, respectively. The collecteddata is treated as ordinal data, and a Wilcoxon signed rank test is used to analyze paired data. Thecorrelation between students

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus; Haibin Liu, Northeast Normal University

, vol. 6, no. 1, pp. 60-86, 2023.[10] C. C. Chen, P. G. Greene, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing, vol. 13, no. 4, pp. 295- 316, 1998.[11] T. M. Fernandez, G. Sliva Coutinho, M. D. Wilson, and S. R. Hoffmann, "Development of entrepreneurial attitudes assessment instrument for freshman students," 2015.[12] P. B. Robinson, D. V. Stimpson, J. C. Huefner, and H. K. Hunt, "An attitude approach to the prediction of entrepreneurship," Entrepreneurship Theory and Practice, vol. 15, no. 4, pp. 13-32, 1991.[13] Y. Shou and J. Olney, "Measuring Risk Tolerance across Domains: Scale Development and Validation," (in English

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Mohsen Mosleh, Howard University; Preethi Chandran, Howard University; Arlene P Maclin; John Harkless; Courtney J. Robinson, Howard University; Hassan Salmani; Sonya T Smith, Howard University; Gloria Washington, Howard University; Hessam Yazdani, University of Missouri

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Diversity

program trained participants togain technical skills to design and conduct experiments, simulate, and analyze the results as well as softskills to work in teams and communicate technical statements. Acquiring such skills has been proven todevelop confidence, self-efficacy and a sense of proficiency and mastery in disciplinary research in STEM[24-26]. The SPW activities were meant to equip/expose participants with/to hard and soft skills andproficiencies. They ranged from writing technical statements and interaction with recruiters to anintroduction to carrying out experiments in a research laboratory under the mentorship of a faculty member,analyzing data, simulation, coding, and writing final research reports.Industry Partnership and

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Dimitrios Bolkas, Pennsylvania State University, Wilkes-Barre Campus

Tagged Topics

Diversity

12.1% Native Hawaiian or Pacific Islander 0.5% White 65.1% Other 8.8% Total 100%Figure 3 shows the student ratings on their overall academic ability, and their ability with respectto Mathematics. Most students rated themselves with an above average academic ability. Ratingsare slightly worse with respect to mathematics, perhaps because most participants follow non-engineering majors (65% of the participants follow a non-engineering major). It is worth notingthat attitudes toward math and math self-efficacy beliefs are very important factors for studentsto choose a Science Technology Engineering and