Higher Education: Science, Technology, Engineering, and Mathematics Trends and the Role of Federal Programs

2006 ◽  
Author(s):  
Cornelia M. Ashby
Keyword(s):  
Higher Education ◽  
Federal Programs ◽  
Science Technology ◽  
And Mathematics ◽  
Education Science

Reinventing Another Unaipon: Indigenous Science Leaders for the Future

2017 ◽  
Vol 47 (2) ◽  
pp. 216-225
Author(s):  
Karen Trimmer ◽  
Graeme Gower ◽  
Graeme Lock
Keyword(s):  
Higher Education ◽  
Torres Strait Islander ◽  
Small Sample ◽  
Indigenous Science ◽  
Stem Programs ◽  
Science Technology ◽  
Torres Strait ◽  
And Mathematics ◽  
Education Science ◽  
Australian Universities

The education of Indigenous and Torres Strait Islander students in Australian universities has received considerable attention in both the literature and government policy in the 21st century. The participation and graduation rates for Indigenous and Torres Strait Islander students in higher education Science, Technology, Engineering and Mathematics (STEM) programs have remained low and are becoming a particular focus in universities across Australia. This paper reflects on the life and contribution of David Unaipon, the enrolment data from a small sample of universities across Australia and the literature to discuss potential strategies for improving the access to, participation in and graduation from higher education STEM courses.

Role of Women in the Pursuit of NDE 4.0

2021 ◽  
Vol 79 (3) ◽  
pp. 272-284
Author(s):  
Ripi Singh ◽  
Marybeth Miceli
Keyword(s):  
Women Leaders ◽  
Value Chain ◽  
Personal Experience ◽  
Change Leadership ◽  
Science Technology ◽  
Growth Disruption ◽  
Multiple Challenges ◽  
And Mathematics ◽  
Technology Standardization

This paper is intended to highlight roles that women can and likely will play in shaping the future of NDE 4.0, from execution to leadership levels as well as from development to transformation activities. As we build momentum toward adopting Industry 4.0 into the nondestructive evaluation (NDE) domain, we face multiple challenges such as technology standardization, talent and skills shortfall, massive transformation, and regulatory and certification standards (Singh 2019, 2020a). Many of these challenges are better addressed with a proper mix of gender in responsible teams. Women in STEM (science, technology, engineering, and mathematics) fields are a source of talent that can be harnessed as digitalization becomes a major part of the NDE sector. According to a recent Forbes article, traits like listening and empathy serve women well in “change leadership,” which is the ability to influence and inspire action in others and respond with vision and agility during periods of growth, disruption, or uncertainty to bring about the needed change (Lipkin 2019). While working the innovation value chain, emotional intelligence makes women better suited to capturing marketplace insight and easing friction in technology adoption, and a balance of gender in a team makes for more productive ideation sessions for effective problem-solving and objective execution. This paper presents literature research triggered by personal experience and substantiated by recent candid conversations with women leaders in NDE, to highlight the importance of a blended and balanced gender mix required for NDE 4.0.

Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Academic Advising ◽  
Data Analytics ◽  
Predictive Analytics ◽  
First Year ◽  
Program Of Study ◽  
Science Technology ◽  
Mathematics Student ◽  
And Mathematics

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.

scholarly journals Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Engineering Education ◽  
Computer Science ◽  
High Tech ◽  
The Core ◽  
Science Technology ◽  
Postgraduate Studies ◽  
Systematic Training ◽  
And Mathematics

It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive STEM services. Optional CDIO Standards are analyzed, which can be used selectively in STEM higher education. Adaptation of the CDIO-FCDI-FFCD triad to undergraduate, graduate and postgraduate studies in the field of science, technology, engineering and mathematics is considered as a mean for improving the system of three-cycle STEM higher education.

The Role of Prototype Matching in Science Pursuits: Perceptions of Scientists That Are Inaccurate and Diverge From Self-Perceptions Predict Reduced Interest in a Science Career

2018 ◽  
Vol 44 (6) ◽  
pp. 881-898 ◽  
Author(s):  
Erin McPherson ◽  
Bernadette Park ◽  
Tiffany A. Ito
Keyword(s):  
Gender Gap ◽  
Science Career ◽  
Science Interest ◽  
Self Perceptions ◽  
Science Technology ◽  
Prototype Matching ◽  
Perceptions Of Students ◽  
And Mathematics ◽  
Representative Member

Self-to-prototype matching is a strategy of mental comparisons between the self-concept and the typical or “representative” member of a group to make some judgment. Such a process might contribute to interest in pursuing a science career and, relatedly, women’s underrepresentation in physical science, technology, engineering, and mathematics (pSTEM) fields. Across four studies, we measured self–scientist discrepancies on communal, agentic, and scientific dimensions, and assessed participants’ interest in a science career. The most consistent predictor of science interest was the discrepancy between self and scientist on the scientific dimension (e.g., intelligent, meticulous). Study 4 established that students with larger self–scientist discrepancies also had less accurate perceptions of students pursuing science, and that inaccuracy was related to lower science interest. Thus, students with lower science interest do not just perceive scientists differently from themselves but also erroneously. Discrepancy and inaccuracy together explained a significant portion of the gender gap in pSTEM interest.

Higher Education Management in Ecuador

2021 ◽  
Vol 4 (3) ◽  
pp. 001
Author(s):  
Santiago Del-Castillo ◽  
Leo Ramos ◽  
Demmy Mora-Silva
Keyword(s):  
Higher Education ◽  
Academic Learning ◽  
Higher Education Management ◽  
Education Management ◽  
Science Technology ◽  
Socioeconomic System ◽  
Secondary Stage ◽  
The One ◽  
Education Science ◽  
Science Technology And Innovation

Higher education is the last phase of the academic learning process, that is, the one that comes after the secondary stage. It is provided at universities, colleges or technical training academies. The education offered by higher education is at the professional level. The objective of the study was to analyze the management of Higher Education in the country and to describe the main activities of the institutions linked to these activities. The main results indicate that three institutions are the protagonists in management. The Secretariat of Higher Education, Science, Technology and Innovation (SENESCYT), the Council for Quality Assurance in Education (CACES) and the Council of Higher Education (CES). Higher education is one of the main drivers of societal evolution. Investing in education is vital to ensure a prosperous and competitive socioeconomic system. Higher education has a high responsibility to society: they are responsible for preparing the professionals of the future.

Navigating the Landscape of the STEM Professoriate

2019 ◽  
pp. 22-65
Author(s):  
Pamela M. Leggett-Robinson ◽  
Brandi Campbell Villa
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Women Of Color ◽  
Institutional Racism ◽  
Stem Fields ◽  
Self Presentation ◽  
Science Technology ◽  
Trade Magazines ◽  
And Mathematics ◽  
Theses And Dissertations

In 1976, the challenges faced by women of color who pursue careers in science, technology, engineering, and mathematics (STEM) fields were first brought to national attention. Forty-two years later, the authors re-examine the challenges, barriers, and successes of women of color in STEM higher education. This chapter examines the landscape of the STEM professoriate through a literature review (journals, trade magazines, theses, and dissertations) and reflective shorts and quotes from women of color navigating the STEM professoriate. The literature review spans a 10-year period (2008-2018). Both the review and the reflections focus on the areas of STEM belonging, self-presentation, stereotyping, institutional racism, discrimination, and tokenism as challenges faced by women of color in the STEM professoriate. Additionally, mechanisms used by women of color to navigate and succeed despite these barriers, such as mentoring, are explored throughout.

scholarly journals Breaking Down Silos Working Meeting: An Approach to Fostering Cross-Disciplinary STEM–DBER Collaborations through Working Meetings

2019 ◽  
Vol 18 (3) ◽  
pp. mr3
Author(s):  
Daniel L. Reinholz ◽  
Tessa C. Andrews
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Stem Education ◽  
Research Priorities ◽  
Deep Understanding ◽  
Institutional Transformation ◽  
Stem Fields ◽  
Professional Societies ◽  
Science Technology ◽  
And Mathematics

There has been a recent push for greater collaboration across the science, technology, engineering, and mathematics (STEM) fields in discipline-based education research (DBER). The DBER fields are unique in that they require a deep understanding of both disciplinary content and educational research. DBER scholars are generally trained and hold professional positions in discipline-specific departments. The professional societies with which DBER scholars are most closely aligned are also often discipline specific. This frequently results in DBER researchers working in silos. At the same time, there are many cross-cutting issues across DBER research in higher education, and DBER researchers across disciplines can benefit greatly from cross-disciplinary collaborations. This report describes the Breaking Down Silos working meeting, which was a short, focused meeting intentionally designed to foster such collaborations. The focus of Breaking Down Silos was institutional transformation in STEM education, but we describe the ways the overall meeting design and structure could be a useful model for fostering cross-­disciplinary collaborations around other research priorities of the DBER community. We describe our approach to meeting recruitment, premeeting work, and inclusive meeting design. We also highlight early outcomes from our perspective and the perspectives of the meeting participants.

Persistence of Latinas in STEM at an R1 Higher Education Institution in Texas

2020 ◽  
pp. 153819272091836
Author(s):  
Elsa Gonzalez ◽  
Cecilia Contreras Aguirre ◽  
Joenie Myers
Keyword(s):  
Higher Education ◽  
Education Institution ◽  
Resilience Theory ◽  
Stem Fields ◽  
Higher Education Institution ◽  
Stem Majors ◽  
Latina Students ◽  
Science Technology ◽  
Tier 1 ◽  
And Mathematics

This study examined the success and persistence of Latina students in the complex environment of science, technology, engineering, and mathematics (STEM) fields at a Tier 1 Research higher education institution in Texas. For this qualitative study, 10 Latina students pursuing STEM majors were interviewed within a framework focusing on Greene’s resilience theory. Results of this study suggest a strong likelihood for Latinas to succeed in STEM fields because of their development of resilience.

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