surveyquestions are provided below. These results were selected because they show interestingdifferences and similarities between the transfer and non-transfer students. Also, these resultsshow the views of all the students of the SAS scholarship program.In Figure 1, a clear difference is shown in the timing of when students decided to major inengineering or computer science. The transfer students were split across all responses, while thenon-transfer students mostly chose to major in the last two years of high school. These resultsmay give insight on how to improve recruitment of transfer students.Figure 1: Decision to major in engineering or computer science. Q 14. When did you decide to major in engineering or Tranfers computer
Advanced Engineering Study, 1993.[4] M. Tribus, "TQM in Education: The Theory and How to Put It to Work," 1993.[5] D. Seymour, On Q causing quality in higher education. Phoenix, Ariz.: Oryx Press, 1993.[6] D. Seymour, Once upon a campus lessons for improving quality and productivity in higher education. Phoenix: Oryx Press, 1995.[7] S. Courter, "A Grounded Theory of the Positive Attributes of a TQM Curriculum Innovation: A Multi-Case Study of a Cross-Disciplinary Course in Engineering." vol. PhD: University of Wisconsin-Madison, 1996.[8] S. D. Bernardoni, "Implementing a Kaizen strategy in an Introduction to Engineering Design course to achieve continuous improvement," in IIE regional Conference University of
interest in civic engagement.Results and DiscussionThe data for each question and their classification is given in Table 5 including average valuesfor the pre- and post- test, standard deviations (shown using σ-PRE for pre-test data and σ-POSTfor post-test data), and the results from the analysis. SS means statistically significant with arrowindicating a statistically significant increase or decrease while HIGH means an average responseof 4 or higher on both the pre-test data and the post-test data. The survey questions are given inTable 6. The questions are also given in Table 6 in their post- test forms.Table 5: Summary of results for each question along with analysis Q# PRE σ-PRE POST σ-POST P(T<=t), α = 0.05, N = 376 1 4.452
a larger change from Survey 1 to Survey 2 than from Survey 2 to Survey 3. Thethree highest changes were seen in developing a prototype for a design challenge (Q8), settingdesign criteria (Q5), and using an iterative process to complete the design challenge (Q10).Table 3. Engineering design process results. Survey 1 Survey 2 Survey 3 Difference Q Step P value Average Average Average btw 1 & 3 Identifying a design problem from 1 3.40 4.30 4.20 0.80 <0.005 the community Incorporating
. A. Demiranda, “Pre-Collegiate Factors Influencing the Self-Efficacy of Engineering Students,” J. Eng. Educ., vol. 100, no. 3, pp. 604–623, 2011.[12] A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring Engineering Design Self- Efficacy,” J. Eng. Educ., vol. 99, no. 1, pp. 71–79, 2010.[13] R. W. Lent and S. D. Brown, “Social cognitive approach to career development: An overview,” Career Dev. Q., vol. 44, no. 4, pp. 310–321, 1996.[14] R. W. Lent and S. D. Brown, “Social cognitive model of career self-management: Toward a unifying view of adaptive career behavior across the life span.,” J. Couns. Psychol., vol. 60, no. 4, pp. 557–68, 2013.[15] N. A. Fouad and M. C. Santana, “SCCT and Underrepresented
ofVocational Behavior 2005, 67, 87-101.19. Bauer, K. W.; Liang, Q., The Effects of Personality and Precollege Characteristics on First-Year Acitivitiesand Academic Performance. Journal of College Student Development 2003, 44, (3), 277-290.20. Rhoads, T. R.; Murphy, T. J.; Trytten, D. A. In A Study of Gender Parity: Department Culture from theStudents' Perspective, Proceedings of Frontiers in Education Conference, Indianapolis, IN, 2005; Indianapolis, IN,2005.21. Lancaster, S. M.; Walden, S. E.; Trytten, D. A.; Murphy, T. J. In The Contribution of Office-Hours-TypeInteractions to Female Student Satisfaction with the Educational Experience in Engineering, Proceedings ofAmerican Society of Engineering Education Annual Conference and
. Professionals from the community come to meet the students, make presentations, and explain jobs and opportunities available in engineering and science fields. ANSEP students make presentations on their research projects and internships so that others can see the array of career options. These meetings are an opportunity for us to see the students each week and to identify and mitigate problems before they jeopardize a student’s academic Page 23.63.10 success. We work to keep these sessions very informal and relaxed. We share pizza, bar- b-q, and traditional Native
in eacharea: 1. How well does the pitch/poster articulate a specific problem or unmet need and identify the customer/potential customer? 2. How unique and viable is the proposed solution in addressing the identified need? How well researched is the idea for the profit or non-profit business activity? 3. How effectively and passionately does the presenter articulate the problem, solution and call to action? 4. How effective or accomplished are the speaker’s skills? How well designed and presented is the poster? How well is the Q/A handled?At the competition, posters were displayed for judging during a two hour period. Each team