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

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.

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin

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.


Author(s):  
Pamela M. Leggett-Robinson ◽  
Brandi Campbell Villa

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.


Author(s):  
Cherié Kay Thriffiley LaRocca

Academic advising is at the forefront of conversations in higher education (Drake, 2011). The mentoring relationship that occurs between students and advisors can be beneficial for both students and institutions, yet academic advising programs may not offer a quality mentoring relationship able to impact student success. When properly constructed, quality academic advising can have a positive impact on a student's undergraduate experience, as well as directly connecting to student persistence. If not constructed properly, the adverse reaction on student success may occur, and particularly can negatively impact student retention. The following chapter will explore quality academic advising, the means by which quality academic advising can be provided, the connection of quality academic advising to student persistence and methods to assess the academic advising process.


2019 ◽  
Vol 18 (3) ◽  
pp. mr3
Author(s):  
Daniel L. Reinholz ◽  
Tessa C. Andrews

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.


2020 ◽  
pp. 153819272091836
Author(s):  
Elsa Gonzalez ◽  
Cecilia Contreras Aguirre ◽  
Joenie Myers

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.


Author(s):  
Álvaro Fernández ◽  
Camino Fernández ◽  
José-Ángel Miguel-Dávila ◽  
Miguel Á. Conde

Abstract The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.


2019 ◽  
Vol 116 (6) ◽  
pp. 1865-1869 ◽  
Author(s):  
David Skorton

The nature of work is changing rapidly in the digital age, increasing the demand for skills in specific disciplines. Across the United States and beyond, this evolution has led to an increased emphasis on science, technology, engineering, and mathematics (STEM) education at every level. Meanwhile, at US institutions of higher education, the proportion of undergraduate students who earn a degree in the humanities is declining. However, while the public discussion often pits the disciplines against one another, the sciences, arts, and humanities are—as Albert Einstein once wrote—“branches of the same tree” [(2006)The Einstein Reader]. They are mutually reinforcing. Therefore, the best way to prepare the next generation for the future of work, life, and citizenship is to provide broad, holistic educational experiences that integrate the STEM disciplines with the arts and humanities. A new study from the Board on Higher Education and Workforce of the National Academies of Sciences, Engineering, and Medicine bolsters the case for such an approach, finding considerable evidence that the mutual integration of disciplines leads to improved educational and career outcomes for undergraduate and graduate students.


2020 ◽  
Vol 9 (4) ◽  
pp. 27
Author(s):  
George Kehdinga Formunyam

The Fourth Industrial Revolution is upon us, and it comes with implications for the higher education curriculum and organisations within Africa. Technology that was ubiquitous in previous decades, is now becoming obsolete. Artificial intelligence and digitization, which are features of the Fourth Industrial Revolution, are now the order of the day. Organisations are moving with such technological advancement by adopting newly created technologies of the Fourth Industrial Revolution. Without doubt, the currently used curriculum in Africa is obsolete; and does not capture the changes being ushered in by the Fourth Industrial Revolution. Therefore, the higher education curriculum must be responsive to the Fourth Industrial Revolution, as this will prepare students in Africa for the challenge ahead. This study theorises on, and has concluded, that deterritorialization and reterritorialization are useful in making the African higher education responsive to the curriculum. The study recommends the introduction of Science, Technology, Engineering, and Mathematics (STEM) education into the African higher-education curriculum in Africa. STEM will produce students who are technically savvy, helping students in Africa to acquire the needed skills to perform seamlessly in organisations operating within the Fourth Industrial Revolution era.


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