stemming stereotype threat: recruitment, retention, and ...€¦ · stemming stereotype threat:...

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Paper ID #24244 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference: Crystal City, Virginia Apr 29 Stemming stereotype threat: recruitment, retention, and degree attainment in STEM fields for undergraduates from underrepresented backgrounds Dr. Najmah Thomas, University of South Carolina Beaufort Dr. Najmah Thomas Najmah Thomas is an Assistant Professor in the Department of Social Sciences at the University of South Carolina Beaufort (USCB). She is a full-time faculty member for the Human Services Program, which encompasses both the residential/on-campus and the Palmetto College Online degree completion programs. She is also the faculty member for African American Studies at USCB. Her research agenda includes social and economic equity with a focus on program evaluation practices, youth leadership development programs, and public policies impacting underrepresented populations, such as children in foster care and members of the Gullah/Geechee Community. Dr. Thomas earned a B.A. in Public Policy at the College of William and Mary, Williamsburg, VA, a Masters of Adult Education and Distance Learning from the University of Phoenix, and a Ph.D. in Public Policy and Administration with a concentration in urban policy, at Virginia Commonwealth University, Richmond, VA. Prior to her role with USCB, Dr. Thomas served as the Virginia Community College System’s director for statewide Workforce Investment Act programs. She also served as Director of Capacity Building for the Cameron Foundation, and Deputy Director at the Crater Regional Workforce Investment Board in Petersburg, Vir- ginia. Over the course of her career, Dr. Thomas’ work has generated grants and contracts totaling more than $1.5 million.She was named a Southeastern Council of Foundations Hull Fellow, keynote speaker at the Virginia Career Coach Academy and Commencement Address speaker at Fortis College, Richmond, VA. In February of 2013, she received the Living Legacy Award from the Association for the Study of African American Life and History. She currently serves on the Penn Center, Inc. Board of Trustees, and is also a 2017 Fellow with the Institute for African American Research. Dr. Ronald Erdei: Dr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni- versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology at Purdue University in the summer of 2016, where he had been working and teaching for some years. As of Fall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 14 computer programming or information technology courses. He has helped guide over 750 graduate and undergraduate students to develop not merely technical skills, but more importantly computational thinking abilities, critical think- ing abilities, and problem decomposition skills widely considered fundamental to professional success in the modern 21st century workplace. Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. His discovery efforts focus on these learning processes with much of his research lying in the learning sci- ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperative learning in college students, pedagogical practices aimed at reducing barriers to the learning process, and optimization of educational content delivery for targeted populations. Prior to entering academia, Dr. Erdei’s career focused on data-centric information technology systems. He possesses just over a decade of industry and consulting experience, and has worked in the roles of application developer, database analyst, database architect, and database administrator. Dr. Ronald Erdei, University of South Carolina Beaufort Dr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni- versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology at Purdue University in the summer of 2016, where he had been working and teaching for some years. As of Fall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 13 computer programming or information technology courses. He has helped guide over 700 graduate and undergraduate students to develop not merely technical skills, but more importantly computational thinking abilities, critical think- ing abilities, and problem decomposition skills widely considered fundamental to professional success in the modern 21st century workplace. Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. His discovery efforts focus on these learning processes with much of his research lying in the learning sci- ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperative learning in college students, pedagogical practices aimed at reducing barriers to the learning process, and c American Society for Engineering Education, 2018

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Page 1: Stemming Stereotype Threat: Recruitment, Retention, and ...€¦ · Stemming stereotype threat: recruitment, retention, and degree attainment in STEM fields for undergraduates from

Paper ID #24244

2018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29Stemming stereotype threat: recruitment, retention, and degree attainmentin STEM fields for undergraduates from underrepresented backgrounds

Dr. Najmah Thomas, University of South Carolina BeaufortDr. Najmah Thomas Najmah Thomas is an Assistant Professor in the Department of Social Sciencesat the University of South Carolina Beaufort (USCB). She is a full-time faculty member for the HumanServices Program, which encompasses both the residential/on-campus and the Palmetto College Onlinedegree completion programs. She is also the faculty member for African American Studies at USCB. Herresearch agenda includes social and economic equity with a focus on program evaluation practices, youthleadership development programs, and public policies impacting underrepresented populations, such aschildren in foster care and members of the Gullah/Geechee Community. Dr. Thomas earned a B.A.in Public Policy at the College of William and Mary, Williamsburg, VA, a Masters of Adult Educationand Distance Learning from the University of Phoenix, and a Ph.D. in Public Policy and Administrationwith a concentration in urban policy, at Virginia Commonwealth University, Richmond, VA. Prior to herrole with USCB, Dr. Thomas served as the Virginia Community College System’s director for statewideWorkforce Investment Act programs. She also served as Director of Capacity Building for the CameronFoundation, and Deputy Director at the Crater Regional Workforce Investment Board in Petersburg, Vir-ginia. Over the course of her career, Dr. Thomas’ work has generated grants and contracts totaling morethan $1.5 million.She was named a Southeastern Council of Foundations Hull Fellow, keynote speaker atthe Virginia Career Coach Academy and Commencement Address speaker at Fortis College, Richmond,VA. In February of 2013, she received the Living Legacy Award from the Association for the Study ofAfrican American Life and History. She currently serves on the Penn Center, Inc. Board of Trustees, andis also a 2017 Fellow with the Institute for African American Research.Dr. Ronald Erdei:Dr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni-versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology atPurdue University in the summer of 2016, where he had been working and teaching for some years. As ofFall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 14 computer programmingor information technology courses. He has helped guide over 750 graduate and undergraduate students todevelop not merely technical skills, but more importantly computational thinking abilities, critical think-ing abilities, and problem decomposition skills widely considered fundamental to professional success inthe modern 21st century workplace.Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. Hisdiscovery efforts focus on these learning processes with much of his research lying in the learning sci-ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperativelearning in college students, pedagogical practices aimed at reducing barriers to the learning process, andoptimization of educational content delivery for targeted populations.Prior to entering academia, Dr. Erdei’s career focused on data-centric information technology systems.He possesses just over a decade of industry and consulting experience, and has worked in the roles ofapplication developer, database analyst, database architect, and database administrator.

Dr. Ronald Erdei, University of South Carolina BeaufortDr. Ronald Erdei (pronounced air-day) is an Assistant Professor of Computational Science at the Uni-versity of South Carolina Beaufort. He completed his PhD in Computer and Information Technology atPurdue University in the summer of 2016, where he had been working and teaching for some years. As ofFall 2017, Dr. Erdei has been the instructor of record (under varying titles) for 13 computer programmingor information technology courses. He has helped guide over 700 graduate and undergraduate students todevelop not merely technical skills, but more importantly computational thinking abilities, critical think-ing abilities, and problem decomposition skills widely considered fundamental to professional success inthe modern 21st century workplace.Dr. Erdei greatly enjoys teaching, and finds the processes involved in learning to be fascinating. Hisdiscovery efforts focus on these learning processes with much of his research lying in the learning sci-ences. Specific topics of interest include: instructional scaffolding in computing disciplines, cooperativelearning in college students, pedagogical practices aimed at reducing barriers to the learning process, andoptimization of educational content delivery for targeted populations.Prior to entering academia, Dr. Erdei’s career focused on data-centric information technology systems.He possesses just over a decade of industry and consulting experience, and has worked in the roles ofapplication developer, database analyst, database architect, and database administrator.

c©American Society for Engineering Education, 2018

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Stemming Stereotype Threat: Recruitment, Retention, and Degree Attainment in STEM Fields for

Undergraduates from Underrepresented Backgrounds

ABSTRACT

This study advances understanding about inclusion, equity and diversity in efforts to broaden

participation, transform institutional leadership, and promote student-centered success strategies

in academia. The researchers employed qualitative and quantitative systematic review (QSR) to

investigate key factors associated with recruitment, retention, and related career attainment in

STEM fields for undergraduate students from underrepresented backgrounds. The study is

grounded in a review of the literature on stereotype threat in academic settings. Stereotype threat

refers to being at risk of confirming, as a self-characteristic, negative stereotypes about one’s social

group (Steele and Aronson, 1995). Mechanisms involved in stereotype threat include reduced

working memory capacity, changes in physiological processes, lowered performance expectations,

negative cognitions, and anxiety. Research suggests stereotype threat can be disruptive enough to

impair intellectual performance for students, particularly in undergraduate STEM programs.

Although research on the link between stereotype threat and STEM program outcomes is relatively

new, initiatives have been implemented in a variety of post-secondary education settings with the

goal of enhancing outcomes for individuals from underrepresented backgrounds, using culturally-

relevant cognitive and non-cognitive practices. In this study, researchers employ QSR to analyze

findings across 25 studies related to promising practices for reducing the impact of stereotype

threat in STEM fields for undergraduate students from underrepresented backgrounds. This paper

then presents a framework, derived from the findings of the QSR analysis, to describe a proposed

theory of change for reducing stereotype threat in academic settings.

KEYWORDS

diversity, inclusion, qualitative systematic review, STEM education, stereotype threat, framework,

undergraduate, underrepresented.

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Background

Occupations in the science, technology, engineering and math (STEM) fields have increased in

overall importance from a variety of perspectives during the past few decades. In terms of

individual employment opportunities and overall quality of life, STEM occupations have higher

than average job growth projections and higher than average wage rates [1] . STEM occupations

are also closely linked to high prestige and economic prosperity from a national standpoint [2] .

In terms of practical application, STEM fields are responsible for identification of solutions to

myriad challenges in multiple business sectors, government, entertainment, and everyday life.

It is widely acknowledged that the United States must increase its production of individuals

skilled in various STEM fields in order to maintain and enhance global competitiveness, and

given the deep and wide impact of STEM occupations, it is essential that the field be diverse and

representative. General estimates suggest that by 2050, no one race or ethnicity will be a

majority of the US population [3]; diversity and representation in the STEM workforce are good

principles to pursue on face value, but this issue goes beyond merely doing the right thing. A

diverse and representative STEM workforce is essential for ensuring a range of perspectives

during solution development [4], is critical for mainstreaming previously non-mainstream topics,

and is vital for maximizing innovation [5]. Attracting more individuals from underrepresented

backgrounds to the STEM field is essential in many respects, particularly because their

knowledge and lived experiences represent an otherwise untapped source.

Despite the clear benefit of a diverse and representative STEM workforce, certain populations,

including women, African Americans, Native Americans, and people from Latina/o, ethnic

backgrounds have been and continue to be underrepresented in the professional field. This is due

in large part to underrepresentation of these populations as STEM degree recipients [6], [7]. It is

evident that undergraduate STEM programs can play a significant role in terms of solutions to

the STEM pipeline problem. This study uses qualitative and quantitative systematic review to

investigate the following research question: What are the key factors associated with recruitment,

retention, and related career attainment in STEM fields for undergraduate students from

underrepresented backgrounds? A follow-up question is also considered: What specific actions

should colleges and universities undertake in order to promote success in STEM programs for

more students from underrepresented backgrounds?

Existing research has focused to a large extent on the seemingly intractable gaps in educational

outcomes and career attainment for underrepresented individuals in STEM fields. The present

study contributes to and expands this research in a practical and generalizable way. By

specifically connecting gaps in educational outcomes to the issue of stereotype threat, and by

offering an evidenced-based framework to create campus environments which reduce or

eliminate stereotype threat in STEM programs, this study advances understanding about

inclusion, equity and diversity in efforts to broaden participation, transform institutional

leadership, and promote student-centered success strategies in academia.

Literature Review

Underrepresented Groups in STEM

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Women, African Americans, Native Americans, and people from Latina/o, ethnic backgrounds

continue to be underrepresented across STEM fields. For example, despite some signs of

progress, African Americans and individuals of Hispanic backgrounds continue to be

underrepresented among credential recipients in STEM fields and in STEM careers [6].

Similarly, women in general and African American women in particular represent less than 29%

of all STEM workers [8]. This seemingly intransient issue of underrepresentation in STEM fields

is due in part to underrepresentation among STEM program graduates [6], [7]. Although the odds

of declaring a STEM major are equal or in some instances greater for these groups, their STEM

program retention, degree attainment, and career attainment are still much lower [9]. Researchers

suggest a portion of the educational achievement gap can be attributed to socioeconomic status,

concentrated poverty levels and continued segregation, particularly in southern schools, but a

large portion of the gap remains unexplained [6]. Despite the importance of personality, k-12

academic preparation, and intellectual ability, research must aid in shifting the discourse from

one focused on student deficits, to one focused on the role of higher education environments in

shaping educational outcomes.

Stereotype Threat

In recent years, researchers have investigated the impact of stereotype threat on educational

outcomes for underrepresented groups. Stereotype threat refers to being at risk of confirming a

negative stereotype about one’s social group [10]. Stereotype threat can result in reduced

working memory capacity, reduced self-control, reduced effort, changes in physiological

processes, lowered performance expectations, negative cognitions and dejection, anxiety and dis-

identification with academic goals [7, 11, 12]. The person experiencing stereotype threat does

not need to believe in the stereotype; the risk of negative impact to performance is related to

knowledge that the stereotype stands as a hypothesis [10]. Vulnerability to stereotype threat can

impact any individual, but has been found to have different impacts on students based on gender

and race. According to Steele [10], the experiences of African American students are uniquely

influenced by stereotype threat as a result of their association with a group whose intellectual

abilities have been broadly questioned. Tine and Gotlieb [13] found individuals with three levels

of stigma – gender, race, and income-based stereotype threats – experienced significantly larger

negative effects on math and working memory performance.

Researchers tested the stereotype threat hypothesis in real-world and lab settings and confirmed

the impact of stereotype threat on standardized test scores as well as classroom performance and

grades [11], [13] & [14]. Other researchers conducted meta-analysis of data from over 18,000

students in five countries and found bias resulting not from the content of academic performance

measures, but from the context in which the measures are actually assessed [14]. Studies have

also concluded that when stereotype threat is reduced, students in negatively stereotyped

categories outperformed students from non-negatively stereotyped categories on tests and class

assignments when both have the same prior academic records [11]. It is arguable that stereotype

threat impairs overall academic performance and systematically underestimates ability for some

underrepresented groups.

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Researchers have pointed out that for many underrepresented groups, the majority of their

academic experiences are in atmospheres with faculty members, administrators and other

authority figures who are not from their “in group” [15] [16] & [17]. For groups with very small

percentages in the STEM field, such as African American women, it is statistically less likely

that these students would ever have access to a “like me” faculty member or mentor in the field

without specific interventions or strategies to ensure such relationships exist. The expression

“like me” in reference to faculty members, mentors and other academic and career role models is

terminology borrowed from recent efforts in the nursing field. The US Health Resources and

Services Administration funds the Nursing Workforce Diversity (NWD) program with the goal

of increasing access to culturally competent nursing that is reflective of the diversity of the

communities in which they serve; this program assists students from disadvantaged backgrounds

to obtain nursing credentials [18]. A successful component of many NWD programs includes

pairing future nurses with mentors who come from similar backgrounds; the ‘like me’

nomenclature is an example of the value of cross-discipline knowledge transfer in terms of

overall discourse. The nursing field differs in many ways from engineering or computer science,

however needs related to underrepresented populations are very similar and knowledge about

what works should be transferred across these fields.

Qualitative and Quantitative Systematic Review

Translation of knowledge across fields can be accomplished using a variety of methods, to

include joint research conferences and symposiums, inter-disciplinary research studies, and

research methods specifically aimed at synthesizing information on a topic, regardless of

discipline. Generally used by medical researchers, the qualitative and quantitative systematic

review (QSR) methodologies provide a methodical and comprehensive review of relevant

studies, combining the findings together in a summarized form [19]. Specific methods for

quantitative and qualitative systematic reviews have been developed and continue to evolve;

Seers [20] provides a summary of methods for conducting a systematic review. Snilstveit, Oliver

and Vojtkova [21] contend the key principles of the QSR approach are comprehensive,

systematic and transparent. Other noted advantages to this approach include reductions in

research costs, broader generalizability and extrapolation of results, as well as enhanced

reliability and accuracy when compared to individual studies [19]. Figure 1 illustrates the

methodology in comparison to other study designs, with case reports being the least

comprehensive and meta-analysis being the most comprehensive approach.

Over the past decade, a number of studies have been conducted to investigate the impact of

stereotype threat on educational outcomes, as well as efforts to improve STEM degree program

outcomes for underrepresented populations. QSR was selected as a methodology to

comprehensively analyze these efforts in order to identify key factors associated with

recruitment, retention, and related career attainment, as well as to create a framework for

colleges and universities to adopt and adapt, in order to promote success in STEM programs for

more students from underrepresented backgrounds.

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Figure 1: Hierarchy of Clinical Study Designs

Methods

Identification of Research Studies

Qualitative and quantitative research studies with outcomes data related to STEM recruitment,

retention, degree attainment and career attainment were identified via a phased search of

electronic databases. The research team collaboratively designed a QSR protocol outlining

inclusion criteria for the selected studies; this protocol specified items such as the study time

frame, population, intervention type, keywords, and search database. The initial phase included a

database search and review of the abstracts of all peer-reviewed publications that contained

keywords or alternatives as outlined in the QSR keyword concept map.

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The second phase entailed a critical appraisal of each article for appropriateness, using a critical

appraisal form to uniformly evaluate the studies on items such as research design, sample size,

acknowledgement of limitations, researcher bias, and recommendations supported by data. Prior

to appraising the articles, the researchers conducted simultaneous appraisal of a selected article,

to ensure agreement on appraisal connotations and to increase inter-evaluator reliability. The

researchers agreed to assign a score of 1-10 for each appraisal, with articles scored at less than

five being excluded from the third phase of the QSR. The initial search phase returned a total of

54 articles that fit the QSR protocol criterion. Of that amount, 25 articles met the critical

appraisal rating of five or higher, and were included in the third phase of the QSR. These articles

were: [9, 11, 15, 16, 22-42].

Data Extraction and Analysis

The third phase of this QSR entailed a comprehensive review and extraction of findings from the

25 studies. A data extract form specified items to be documented for each study, including

participants and type, study context, outcomes assessed, interventions, objectives, findings and

results, and recommendations. Data from the extraction forms was entered into a Microsoft

Access database for analysis. The research team then set two rules for an iterative process to

translate themes and concepts from the extracted data; the themes and concepts were derived

from the actual results and findings as documented in the database and, if noted in nine or more

of the studies then themes and concepts formed a synthesis topic. The research team then

conducted backward mapping to re-count instances of each theme and concept finding across all

studies. The four synthesis topics of identification, environment, capitals, and process were

identified during this iterative procedure, with distinct categories of findings assigned to each

topic.

Findings

Evidence from this systematic review of studies supports the contention that undergraduate

STEM programs can indeed play a significant role in terms of solutions to problem of

underrepresented populations in the STEM profession. Findings suggest there are four distinct

areas factors associated with improving recruitment, retention, and related career attainment in

STEM fields for undergraduate students from underrepresented backgrounds, and within those

areas, specific actions colleges and universities should undertake in order to reduce the negative

impact of stereotype threat and promote success in STEM programs for more students from

underrepresented backgrounds.

Implicit across all of the studies was the essential influence of leadership, data, development and

reporting. Taken together, these findings suggest that certain approaches must be embedded into

the overall fabric of the institution in order to achieve equitable education outcomes. Institutional

fabric and campus environment are shaped not only by what is written in official policy, but by

what is actually practiced on a regular basis. Individuals at every level of institutional leadership

(academic and administration) must take a proactive and intentional approach to equity in

educational outcomes. These approaches can be operationalized in terms of data-driven

decisions, faculty and staff development, as well as reporting.

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Table 1: Synthesis of Findings

Synthesis

Topics

Categories of Findings Findings Count (#

of times indicated

in each study)

Identification Focus on goal orientation

Provision of research experience

Support for multi-cultural / simultaneous ID

development

Support for scientific ID development

23

Environment Aware and supportive faculty

Supportive campus/welcoming to underrepresented

populations

Supportive community for specific groups

Supportive STEM discipline/program units

14

Capitals Aspirational capital development

Cultural capital acknowledgement and development

Navigational capital development

Social capital development / ‘like-me’ mentors

7

Process Eliminating “weeding out” courses and practices

Looking for resilient students, instead of ‘scientists’

Smoothing out the transfer process for community

college students

Use of communication strategies

Use of STEM course syllabi as a tool for engagement

11

Framework for Colleges and Universities

This study used the aforementioned factors to develop a framework for colleges and universities

to adopt and adapt, in order to promote success in STEM programs for more students from

underrepresented backgrounds. Three distinct sections are illustrated in the proposed framework;

first, the Campus Environment and role of institutional action in mitigating stereotype threat is

shown; then examples of Evidence-Based Practices to mitigate stereotype threat, enhance

scientific ID development, expand capitals, and enhance STEM program processes are provided;

and lastly, potential STEM Program and Workforce Outcomes are presented.

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Figure 2: Stereotype Threat Reduction Framework (STRF) for Colleges and Universities

Discussion

One of the most interesting aspects of the study was the use of a research methodology, QSR, not

commonly employed in STEM disciplines. An evidence-based research methodology, QSR is

commonly employed in medical disciplines. Though distinct in many ways, medical and STEM

disciplines share many commonalities, including the need for evidence-based approaches

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facilitating the study of complex human-centric systems, such as workforce homogeneity. The

QSR methodology was an effective guide for our study, enabling it to be conducted in adherence

to well established research practices and guidelines. Additionally, it allowed us to evaluate

employment of an approach novel to the STEM discipline with an eye toward future studies.

Easily the most interesting outcome of the QSR was the importance of student identification in

improving recruitment, retention, and related career attainment in STEM fields for undergraduate

students from underrepresented backgrounds. Of the 25 peer-reviewed journal articles analyzed

through the QSR process, sense of identity permeated 23. It is very important to contextualize

this category of findings in terms of stereotype threat, which is by definition linked to sense of

identity; this threat is quite literally the function of a negative aspect of one’s group

identification. Our findings indicate this negative aspect of identity is commonly being countered

in real-world learning environments by the fostering of positive group identification; however, as

often as not, administrators and educators do not realize why their efforts and interventions

succeed.

The Stereotype Threat Reduction Framework (STRF)

The STRF is designed to assist college educators and administrators understand the various

mechanisms used to mitigate stereotype threat in undergraduate students; the -goal being to

promote success in STEM programs for more undergraduate students from underrepresented

backgrounds, and ultimately increase their representation in STEM career fields. The STRF

helps educators (administrators, faculty and staff members) understand how and why

instructional pedagogies, such as collaborative learning, and academic initiatives, such as

faculty-student mentoring, work. It helps university administrators visualize a more complete

STEM pipeline, from recruitment through career. It impresses the importance of fostering not

simply the development of a single sense of identity in students, but of fostering the development

of a multitude of non-exclusive, complementary senses of identity that reflects in each individual

student their discipline (i.e., scientist, engineer), culture, gender, ethnicity, socioeconomic

background, veteran status, etc. Explicitly identified in the STRF is the importance of faculty-

student and mentor-student interactions on the development of student sense of identity,

particularly those with “like me” faculty members and “like me” mentors. Finally, the STRF

details the importance of reframing many of our existing instructional scaffoldings from an

orientation of deficiency-remediation to professional-development with regard to the

development of student identity.

Study Limitations and Delimitations

As follow-up to a small-scale pilot study, this investigation was designed to be of incrementally

larger, yet still moderate, scope. As such, the literature included in the QSR was limited to

articles published in peer reviewed journals. Conference proceedings, regardless of the discipline

or reputability of the conference, were not included in the study. Literature included in the QSR

were also limited to articles identified via search of only 11 predetermined databases, identified

in the QSR protocol. As noted in the methodology, the initial search phase returned a total of 54

articles that fit the QSR protocol criterion. Of that amount, 25 articles met the critical appraisal

rating of five or higher, and were included in the third phase of the QSR. Finally, the current

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QSR does not incorporate an assessment of relative degree to which articles reflect each of the

four factors identified in the study (i.e., identification, environment, capitals, processes); instead,

the QSR simply protocol simply identifies whether the article does or does not reflect each

factor.

Next Steps

To increase confidence in the findings of this study, as well as tease out additional insights, the

researchers feel that a study of larger breadth needs to be performed. Specifically, the breadth of

the QSR needs to be increased to include a larger number of articles drawn from a wider array of

databases. Additionally, the study should evaluate articles cited by those already in the QSR,

incorporating those articles that meet the QSR protocol criterion for inclusion in the study.

Finally, the revised study should develop and subsequently incorporate a means to assess the

relative degree each article reflects each factor identified in the study (i.e., identification,

environment, capitals, processes).

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Stemming Stereotype Threat: Recruitment, Retention, and Degree Attainment in STEM Fields for Undergraduates from Underrepresented Backgrounds

Najmah Thomas, PhD; Ron Erdei, PhD

2018 The Collaborative Network for Engineering and Computing Diversity (CoNECD) Paper Presentation / Workshop Session Outline Background & Literature Review:

Grounding diversity conversations in context of innovation and global competitiveness Developing a deeper understanding of the opportunities for improvement in terms of

STEM education programs and STEM workforce diversity Focusing attention on connections between stereotype threat and STEM education

program outcomes for underrepresented populations

QSR – Why Qualitative/Quantitative Systematic Review?

The value of cross-discipline knowledge transfer Methodical review of promising practices, comprehensive analysis of findings Identification and classification of key factors

How the Current Study Employs QSR:

Methods – QSR protocol and keyword concept map, critical appraisal, and data extraction

Analysis - Iterative translation of themes and concepts, backward mapping Initial Findings – identification, environment, capitals and process

Stereotype Threat Reduction Framework (STRF): An Adaptable Tool for Colleges and Universities:

STRF is a new framework derived from the findings of the QSR analysis, describes a proposed theory of change for reducing stereotype threat in academic settings

Desired/anticipated change is increase in successful STEM education program outcomes for underrepresented students, leading to increased representation and diversity in STEM workforce

STRF helps educators understand how and why certain strategies work, visualize a more complete STEM pipeline with their roles clearly identified

STRF connects institutional environments and practices such as “like me” mentors and faculty to elements such as identification development for STEM students

Three areas illustrated in the framework: o campus institutional fabric & role of institutional actors in mitigating stereotype

threat o examples of evidence-based practices to address stereotype threat o potential STEM program and workforce outcomes

STRF offers a new perspective on the topic of inclusion and transforming institutional leadership in undergraduate STEM programs

STRF also has strong potential to transfer in other academic programs