Addressing STEM Geek Culture Through Peer Learning

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.STEM is generally considered to be a male-dominated environment. The geek culture that often leads to social issues, and the gender imbalance that leads to fewer girls choosing a STEM subject, are becoming important topics of research. Peer learning has been widely used across the world to support retention and better grades with a more recent focus on adopting this approach to tackle issues around gender imbalance and perceived ‘laddish’ culture. Through peer learning, students are encouraged to work alongside their tutors, and to practice the critical soft skills that they will need as they move into the workplace. This paper explores the role of gender and geek culture, considering how students can break down the stereotypes while moving away from didactic approaches. The gender gap in STEM has narrowed, but women are still underrepresented. ‘Geek culture’ often creates a high-tech, androcentric environment. Policy makers have agreed that the geek culture needs to be researched and its impact identified. Social interactions and relations are the reflection of interpersonal values, and the peer norms may affect a students’ engagement and motivations in STEM subjects. The discussion will examine how peer learning can prepare students in Higher Education and offer insights into creating an environment in which students can become partners. Peer learning can represent a significant step in enabling students to become more engaged in their learning and is becoming an important element across institutions globally. There is a plethora of approaches to peer learning and it is encouraging to observe how students transform and mature by participating in the scheme. Evidence is accumulating that peer learning can enable students to become more confident and independent, enhancing not only their transition into Higher Education but also into industry. Peer learning can have a positive influence across the disciplines and supports students in achieving more than they might otherwise do. It can also examine, in an informal way, the gender issues, laddish and geek culture, and promote the sense of belongingness in STEM disciplines. This paper will inform readers about how peer learning can reconstruct the geek culture and transform it from self-centred to forming relationships and overcoming social issues. With regard to Higher Education specifically, we try to understand the different situational frames that are being generated by such cultures, how we can influence those stereotypes, and make them more acceptable and more inclusive

Collaboration and Gender Equity among Academic Scientists

Universities were established as hierarchical bureaucracies that reward individual attainment in evaluating success. Yet collaboration is crucial both to 21st century science and, we argue, to advancing equity for women academic scientists. We draw from research on gender equity and on collaboration in higher education, and report on data collected on one campus. Sixteen focus group meetings were held with 85 faculty members from STEM departments, separated by faculty rank and gender (i.e., assistant professor men, full professor women). Participants were asked structured questions about the role of collaboration in research, career development, and departmental decision-making. Inductive analyses of focus group data led to the development of a theoretical model in which resources, recognition, and relationships create conditions under which collaboration is likely to produce more gender equitable outcomes for STEM faculty. Ensuring women faculty have equal access to resources is central to safeguarding their success; relationships, including mutual mentoring, inclusion and collegiality, facilitate women’s careers in academia; and recognition of collaborative work bolsters women’s professional advancement. We further propose that gender equity will be stronger in STEM where resources, relationships, and recognition intersect—having multiplicative rather than additive effects

Peer mentoring in assisting retention – is a virtual form of support a viable alternative?

Support systems are vital for university entrants and one established means of support is peer mentoring, which has the potential to improve student engagement and retention. Peer mentoring models are generally based on face-to-face contact. However, given the increasing number of higher education institutions using social media, might online models be beneficial in a peer mentoring context? This article describes a literature review and case study that considers the advantages and disadvantages of three potential virtual models to facilitate a peer mentoring scheme. The case study, undertaken at Northumbria University, UK, involved an investigation of mentoring needs and current usage of electronic media where special attention is afforded to a diverse student body. The three models discussed are virtual learning environments (VLE), social networking sites and virtual worlds. We find that the VLE is established within institutions but lacks excitement; social networking is popular particularly with younger students but there may be resentment if this appears to be appropriated by the institution; whilst virtual worlds are unfamiliar to many students and require advanced skills to use successfully. Based on these findings the social networking model is now being run as a pilot study by business programmes at Northumbria University

Early Determinants of Women in the IT Workforce: A Model of Girls’ Career Choices

Purpose – To develop a testable model for girls’ career choices in technology fields based on past research and hypotheses about the future of the information technology (IT) workforce. Design/Methodology/Approach – Review and assimilation of literature from education, psychology, sociology, computer science, IT, and business in a model that identifies factors that can potentially influence a girl’s choice towards or against IT careers. The factors are categorized into social factors (family, peers, and media), structural factors (computer use, teacher/counselor influence, same sex versus coeducational schools), and individual differences. The impact of culture on these various factors is also explored. Findings – The model indicates that parents, particularly fathers, are the key influencers of girls’ choice of IT careers. Teachers and counselors provide little or no career direction. Hypotheses propose that early access to computers may reduce intimidation with technology and that same-sex education may serve to reduce career bias against IT. Research Limitations/Implications – While the model is multidisciplinary, much of research from which it draws is five to eight years old. Patterns of career choices, availability of technology, increased independence of women and girls, offshore/nearshore outsourcings of IT jobs are just some of the factors that may be insufficiently addressed in this study. Practical Implications – A “Recommendations” section provides some practical steps to increase the involvement of girls in IT-related careers and activities at an early age. The article identifies cultural research as a limitation and ways to address this. Originality/value – The paper is an assimilation of literature from diverse fields and provides a testable model for research on gender and IT

The Academy of Dental Materials: Providing roots and wings.

ObjectivesThe long history of the Academy of Dental Materials (ADM) is documented with its strategies (a) to rapidly communicate science among its members, (b) to establish special awards to stimulate new science, and (c) to develop new dental materials scientists.MethodsWe searched the history of the last 35 years of the ADM newsletters, transactions, journals, and officer notes. We document the (a) presidents, (b) meeting history, (c) membership growth, and (d) development of special awards through 2019 with the recent creation of the ADM Marshall Post-Doctoral Award.ResultsThere are 36 years of recent ADM history, 42 international meetings, membership growth to 400 individuals from 15 countries, service of 19 presidents, Paffenbarger annual Awardees since 1989, induction of >200 fellows, and recognition of the first winner of Marshall Post-Doctoral Award in 2018. New directions for recruiting members are suggested. Three potential new thrusts for the organization are presented: artificial intelligence, genetic engineering, and intensive member mentoring.SignificanceThese suggestions for the ADM provide a path for the ADM to continue to adapt to the ever changing scientific landscape

New creative careers: the problems of progression and uncertainty

This chapter presents findings from research which we conducted with participants who were current and former art college students, practitioners in different areas of creative arts and design, and therefore workers in a relatively newly named part of the economy, the ‘creative industries’. Originally identified by New Labour as a significantly successful new sector, they have subsequently received considerable attention from policy-makers and also academic commentators, in the UK and elsewhere. The list of creative industries cited by New Labour (DCMS 2001) also corresponds closely to the subject areas and activities of many art college courses, indicating how these institutions function as a vocational training ground and entry point for the creative industries. In this chapter, we discuss special issues which our research raised in relation to creative working; the implications of our research findings for vocational learners themselves and for course providers, teachers and institutions; sources of advantage and disadvantage for learners, as indicated by our research, and some further implications for those aiming to assist and expand lifelong learning opportunities

Power of Near-Peers: Conceptualizing and Testing a Near-Peer Mentoring Model in Raising Youths\u27 Self-Efficacy in Computer Programming

Self-efficacy is seen as a barrier for youth, females in particular, to enter computer science (CS). In this study, I presented a near-peer mentoring model that focused on changing the mentee’s self-efficacy in CS. The present study had three objectives: (a) to design a near-peer mentoring model (i.e., a conceptual model) around the sources of information that influence self-efficacy, (b) to develop a mentor training model based on the conceptual model, and (c) to test the effectiveness of the training model in increasing mentees’ self-efficacy in the context of a summer App programming camp. The present study adopted a mixed-methods approach following a concurrent, embedded design to answer research questions. Data were collected from pre-post surveys and camper interviews. Comparison of quantitative and qualitative findings indicated that the near-peer mentoring model has a potential in increasing youth’s self-efficacy regardless of their gender. It was also found that encouragement was important for fostering self-efficacy and while they did not directly influence self-efficacy, modeling and instructive feedback enhanced campers’ learning experience, which, in turn, would boost self-efficacy. The present study also provided examples of how to train mentors to do modeling and provide instructive and encouraging feedback, which may be helpful for programs that use mentors to recruit youth to CS

Factors that Influence Persistence of Biology Majors at a Hispanic-Serving Institution

To promote diversity within the science, technology, engineering, and mathematics (STEM) workforce, we must identify factors that influence or hinder historically underrepresented minority (URM) students’ persistence to degrees in STEM. We documented potential factors that influence students’ persistence in an undergraduate biology program and created a 14-item, Likert-scale instrument. We recruited 137 undergraduate biology majors at a Hispanic-serving institution in Texas to report which factors they found influential in their decision to remain enrolled in their degree programs. We used a modified social cognitive career theory model of career choice to guide interpretation of the reported influences and identify patterns in responses. We documented three highly influential factors for all students: personal motivation, potential learning experiences, and job opportunities with the job opportunities showing a significant difference (P=0.036) between White and URM student groups. We also found a trend (P=0.056) indicating White students were more influenced by role models and mentors than URM students. Our findings suggest that personal motivation and potential job opportunities are the most influential factors driving students to seek educational opportunities that could lead to STEM careers. However, access to a diverse pool of role models also has the potential to provide positive impacts on student persistence in STEM