Journal of International Technology and Information Management
This research studies attitude and readiness of STEM majoring and success with
the data from a survey with a total of 501 viable responses, with respect to STEM
(science, technology, engineering, and mathematics) related majors that are
essential and fundamental to skills relevant to big data business analytics.
Recruiting and keeping students in STEM areas have attracted a large body of
attention in pedagogical studies. An effective way of achieving such a goal is to
show them how rewarding and self-fulfilling STEM careers can be toward
perspective students. One example of the abundance of STEM careers is the rapid
growth of business analytics positions in the job market, which is a major
motivation of this study. Business analytics makes extensive use of data, including
data mining, statistical analysis, quantitative modeling, and explanatory and
predictive analytics, in order to help make actionable decisions and to improve
business operations. We found that there is a statistically significant correlation
between STEM interests and success factors of majoring in STEM, which is a
natural step forward to filling in the talent gap business analytics. Practical
implications are also discussed.
He, Xin James; Sheu, Myron; and Tao, Jie
"A Data-Centric Analysis on Stem Majoring and Success: Attitude And Readiness,"
Journal of International Technology and Information Management: Vol. 25:
3, Article 3.
Available at: https://scholarworks.lib.csusb.edu/jitim/vol25/iss3/3
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