STEMChoice: An Examination of Program Evaluation Data in a STEM-Centered, Inquiry-Based Program
Author(s) -
Terrance Youngblood,
Ibrahim H. Yeter,
C. David Williams,
Hansel Burley
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.25875
Subject(s) - social cognitive theory , workforce , graduation (instrument) , population , psychology , medical education , mathematics education , career counseling , pedagogy , sociology , engineering , social psychology , medicine , political science , mechanical engineering , demography , law
On a national scale, there has been a call for improved instruction in science, technology, engineering, and mathematics (STEM) at all educational levels. In addition, claims have been made regarding the lack of a viable STEM workforce in certain critical areas. Consequently, many resources have been devoted to encouraging and motivating students in the secondary levels to pursue a STEM-related career. This paper is centered on the efforts of an inquiry-based, STEM educational program that uses the conception, design, production, and deployment of rockets as a way to teach and improve students STEM-related workforce skills. The target population included high school students in one state in the southern region of the United States. Program evaluation data were collected via a student questionnaire grounded on two theories: Social Career Cognitive Theory (SCCT) and the Theory of Planned Behavior (TPB). Based on program data collected during the 2014-2015 academic year, this paper will examine the effectiveness of the program in motivating students to pursue a STEM career, using the theoretical lens of Social Cognitive Career Theory (SCCT). The following research question will be addressed: which factors help predict student intentions to pursue a STEM career upon graduation of high school? A stepwise multiple regression model was established to predict students’ inclination to choose a STEM career. Findings suggest a viable model which accounted for the most amount of variability in students’ inclination to pursue a STEM career, R = .40, F (4, 444) =20.885, p < .01. The predictors within this model were focused on teamwork, overall student evaluation of the program, and problem solving.
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