E-mentoring Supports for Improving the Persistence of Underrepresented Students in On-line and Traditional Courses

Wolfe, Gerri; Gregg, Noël

doi:10.1007/978-3-319-20684-4_24

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The key components of the virtual-mentoring intervention included provision of online learning and training practices, access to virtual environments, use of social media platforms to promote networks of support, and virtual linkage to STEM resources (Wolfe & Gregg, 2015). All mentors and mentees were required to virtually meet with each other at least 10 times per semester, complete required project modules, return online survey evaluations, and participate in all virtual group activities.…”

Section: Methodsmentioning

confidence: 99%

Virtual Mentoring and Persistence in STEM for Students With Disabilities

Gregg

Galyardt

Wolfe

et al. 2016

Career Development and Transition for Exceptional Individuals

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The purpose of this study was to investigate the effectiveness of virtual mentoring for enhancing the persistence of secondary and postsecondary students with disabilities engaged in science, technology, engineering, and mathematics (STEM) learning. The student participants ( N = 189) were all engaged in STEM coursework and enrolled in a virtual-mentoring program for a span of 4 years. Persistence was measured with an online survey designed to evaluate growth across self-determination, self-advocacy, STEM aspirations, and self-efficacy (math and science). After participating in virtual-mentoring practices, the most significant improvement was demonstrated in students’ perception of self-determination and self-advocacy. Growth differences were identified across type of disability and race/ethnicity populations. Implications pertaining to STEM aspirations and self-efficacy were addressed.

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Section: Methodsmentioning

confidence: 99%

Virtual Mentoring and Persistence in STEM for Students With Disabilities

Gregg

Galyardt

Wolfe

et al. 2016

Career Development and Transition for Exceptional Individuals

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“…A study has investigated the e-mentoring impact on students' persistence in a STEM major (Wolfe & Gregg, 2015). The study also explored how underrepresented students, who are facing barriers to campus-based education use social media tools such as virtual platforms.…”

Section: Role Model/mentoringmentioning

confidence: 99%

A Social Media Analytics Framework to Increase Prospective Students’ Interests in STEM and TVET Education

Adnan

Ariffin

Hanafi

et al. 2021

AJUE

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Recently, the promotion of Science, technology, engineering and mathematics (STEM) education has become the highlight due to the shortage in the STEM workforce. Surprisingly, the enrolment rates in STEM degrees are still low in many countries. Social media has been identified as one of the main platforms that can help to increase prospective students’ interest in STEM and also Technical and Vocational Education and Training (TVET) subjects. However, very little research has been done for the higher education institutions in Malaysia in leveraging social media and social media analytics effectively to increase the students’ interests and awareness of STEM and TVET disciplines. Therefore, this paper aims to propose a framework to increase prospective students’ interest in STEM and TVET using social media and big data analytics. The objectives of this study are to explore various social media applications in education and study these applications towards increasing students’ interests and propose a suitable framework for Malaysian higher education institutions. The framework is proposed by following the theory synthesis methodology. Four main components of the framework have been proposed, namely social media, role model or mentoring, massive open online courses and big data analytics. Each component is significant and requires a considerable amount of time to develop. The suggested framework is anticipated to benefit higher education institutions with a significant gain of the number of students, revenues and positive reputations. Keywords: Social media, Social media analytics, STEM, E-learning, Education

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