Abstract
This investigation was to explore perceptions of students who participated in the Cultivating Diverse Talents in STEM project in an R1 university through (a) university-based summer internship program, (b) subsequent school-year research internships, and (c) successive summer workshops or internships. Thirteen high school juniors from diverse backgrounds and low-income families were selected using a series of identification and assessment methods. Both the performance-based and paper-and-pencil assessments were measures of creative problem solving and application of conceptual understandings. A questionnaire was administered after students’ participation in the summer internship. The core theme, active involvement in problem solving inspired and motivated students with exceptional talent, was identified, including three categories: (a) academic initiative and engagement, (b) transition preparation, and (c) practical skill development. Strengths of diverse, underrepresented students with exceptional talent in STEM (spatial analytical skills, high academic resilience, and persistence) and critical elements of a quality STEM program (focusing on individual research interests and real-world problems, providing enriched and varied experiences, and creating supportive mentoring relationships) are included in the research implications.
In the global, knowledge-based economy of the 21st century, people benefit from technological changes and face increasingly more challenges. The demand for innovations and experts in science and technology has been rising substantially. To meet the needs of this new economy, the U.S. government has been calling for an extensive effort to improve the quality of teaching of science, technology, engineering, and mathematics (STEM) to prepare and cultivate the next generation of students (National Science and Technology Council [NSTC], 2018; U.S. Department of Education, 2018). Most importantly, our exceptionally talented students in STEM need to be identified and provided with enriched programs to develop these talents to the highest levels of which they are capable.
STEM is an integral part of people’s lives every day. Creative problem solving in the areas of STEM has become increasingly critical. For example, STEM-based learning via real-world applications can help learners design environmentally friendly transportation systems that reduce the detrimental effects of climate pollution. STEM-skilled employers also play an important role in stabilizing the U.S. economy and enhancing global competitiveness (NSTC, 2018). Furthermore, since 2000, a shortage of individuals with exceptional talent in STEM in the evolving world of technology has been observed (NSTC, 2018; U.S. Department of Commerce, 2017). The need for STEM jobs is projected to increase from 16% to 62% from 2010 to 2020 (U.S. Department of Education, 2017); STEM workers earn 29% higher wages than their non-STEM counterparts (U.S. Department of Commerce, 2017). To succeed in this complex world, youth need to be equipped with skills in STEM and to develop their abilities for solving difficult and complex problems.
Diverse, Underrepresented Students in STEM
The U.S. demographic landscape is changing. As reflected in the 2018 Census Bureau data, women will represent a larger percentage of the population than men in the near future; the proportion of ethnic minority groups is expected to increase to 56% of the population by 2060 (U.S. Census Bureau, 2018). Given this trend, broadening participation in STEM and cultivating these individuals’ potential to develop STEM expertise and creative problem-solving skills are important long-term investments.
Individuals from diverse cultural backgrounds, low socioeconomic status (SES), and female groups have been historically underrepresented in STEM areas (Deemer, Thoman, & Chase, 2014; Hernandez, Schultz, Estrada, Woodcock, & Chance, 2013; U.S. Census Bureau, 2019). Based on the U.S. Census Bureau (2019) data, men (75%) were employed in a STEM occupation at triple the rate of women (25%); 11% of the workforce was African American, whereas only 6.3% of them were in STEM occupations; 15.8% of the workforce was Hispanic, whereas only 7% were in STEM careers. Compared with White counterparts, Native American, African American, and Hispanic students who pursued degrees in STEM-related fields and completed undergraduate or advanced learning was a particularly small population (Chang, Sharkness, Hurtado, & Newman, 2014; U.S. Census Bureau, 2019). For example, Native American students made up 1.7% of the U.S. population; however, only approximately 0.7% of the students graduated with a bachelor’s degree in a STEM field (U.S. Census Bureau, 2013).
Furthermore, substantial differences in coursework and achievement between students with low-SES and high-SES backgrounds still exist (Miller & Kimmel, 2012; National Science Board, 2012). Compared with low-SES families, high-SES families are more capable of providing their children opportunities for exposure to science or related enrichment experiences; thus, high-SES students are more likely to discover their interests and develop confidence in STEM areas (Archer et al., 2012; Xie, Fang, & Kimberlee, 2015). The level of a family’s economic resources may have a higher impact on children’s acquisition of background knowledge than cultural and ethnic factors. For example, for Native Americans, cultural diversity is not the only reason they have been underserved in programs designed for exceptionally talented students. Another possible reason is that they have the highest rate of poverty (25.9%) when compared with all other ethnic groups; thus, students lack experiences and a nurturing environment that can encourage them to pursue studies in STEM (Smith, Cech, Metz, Huntoon, & Moyer, 2014). In sum, gender, culture, and economic differences have contributed to the gap between groups in student engagement, achievement, and employment in STEM areas. The failure to discover and retain diverse, underrepresented students in STEM has been a leak in the scientific pipeline.
Broadening Participation in STEM
Identifying and cultivating students with exceptional talent in STEM is critical to our nation’s future. However, very few innovative efforts have been made at state or national levels in recent years to change the ways students are identified as gifted even though current methods severely limit the diversity of students identified (Maker, 2019a).
Barriers to Identification
Understanding the barriers that impede the identification of students with exceptional talent is essential to making important changes. Recent studies show that three critical factors are barriers to identifying students from diverse backgrounds for programs for exceptionally talented students.
Referral and screening
Students with culturally, linguistically, and economically diverse backgrounds tend not to be referred for testing or screening at the same rates as their mainstream counterparts. Typically, screening often is accomplished using achievement test results, teacher nomination using rating scales, peer nomination, and parent referral (Cao, Jung, & Lee, 2017), using scales such as the Gifted and Talented Evaluation Scales (GATES; Gilliam & Jerman, 2015). However, educators often have inaccurate perceptions of low-income, high-ability learners’ abilities, and their talents and strengths may not easily be discovered (Card & Giuliano, 2015). Some underserved students demonstrate their exceptional abilities in ways that are different from the typical ways giftedness is expressed (Siegle et al., 2016). For example, due to cultural traditions and life experiences, many Native American children do not only have creative talent but also possess high spatial ability, which is not commonly seen in lists of characteristics of exceptional talent (DeVries, Shires-Golon, 2011).
Some students with exceptional talent and low verbal ability are often not referred or identified. Most referral scales include a much higher percentage of verbal traits than nonverbal ones. For example, in the learning characteristics section of the Renzulli Scales for Rating the Behavioral Characteristics of Superior Students (Renzulli et al., 2013), an instrument often used for referral, the items related to students’ verbal abilities dominate (e.g., “the ability to articulate ideas and communicate well with others” in Leadership Characteristics; “clearly articulates data interpretation” in Science Characteristics), and few are specifically related to nonverbal ability, especially visual spatial ability. For these reasons, teachers may easily overlook students from underserved groups.
Traditional and general identification instruments
According to the 2014-2015 State of the States in Gifted Education—Policy and Practice Data from the National Association for Gifted Children (NAGC, 2015), only 19 states out of 33 responding states (58%) use a multiple criteria model, in which they include at least two types of required information. Three identification indicators are generally used by states: achievement data, IQ scores, and nomination/referrals. Most traditional intelligence and achievement tests have a multiple-choice format with scoring based on national norms for age and grade levels (Shute, Leighton, Jang, & Chu, 2016). Students with diverse backgrounds usually perform at a lower level than White students on these tests because fewer opportunities have been provided for them to learn basic or advanced knowledge (Floyd, McGinnis, & Grantham, 2011). In addition, some important factors such as creativity, leadership, and motivation, which are sometimes included in lists of performance and behavior characteristics are generally not used by states (i.e., approximately 20% of the responding states; NAGC, 2015).
Neglect of spatial ability
Spatial ability has also been often overlooked in STEM as well as in identification. Many students with exceptional talent and with spatial ability are not identified due to the restriction of selection criteria in math and verbal tests (Wai, Lubinski, & Benbow, 2009). Shea, Lubinski, and Benbow (2001) tracked 563 talent search participants in their 5, 10, and 20 years after initial identification at age 13 in late 1970s and selected many of those who pursued STEM academic areas and/or STEM 20 years later. They found that those students displayed higher levels of spatial ability at age 13. Wai and colleagues (2009) tracked students over 11 years and 400,000 high schools, and found that spatial ability is a salient psychological attribute and plays a critical role among adolescents who develop expertise and continue in occupations in STEM. Results of this study were aligned with pre-1957 findings. Clearly, spatial ability needs to be included in any assessment of STEM talent.
Innovative Identification to Increase Diversity
The development of alternative approaches to identify exceptionally talented students from diverse backgrounds has gained researchers’ attention and consensus (McClain & Pfeiffer, 2012). One alternative approach is performance-based assessment, such as the Discovering Intellectual Strengths and Capabilities while Observing Varied Ethnic Responses (DISCOVER) assessment (Maker, 1993, 2019a; Maker, Alhusaini, Pease, Zimmerman, & Alamiri, 2015; Sarouphim, 2002). Although performance assessments have been criticized, they include important components not often found in multiple-choice tests, such as observation by an expert while completing open-ended tasks requiring higher order thinking and problem solving (Cao et al., 2017; Maker, 2017; VanTassel-Baska, 2014). In these assessments, correct use of English, both in writing and speaking, is not a requirement. Students’ abilities are assessed directly through the tools and symbol systems of each domain by evaluating the students’ original products (e.g., spatial, life science, physical science) rather than indirectly through the filter of language. Thus, these assessments can be used to identify exceptionally talented students who have not traditionally been identified (Cao et al., 2017; Maker, 2019a; Sarouphim & Maker, 2010).
Aligned with the talent development perspective (Subotnik, Olszewski-Kubilius, & Worrell, 2011), Maker and her research team started the Cultivating Diverse Talent in STEM (CDTIS) project in 2013. Drawing upon the long-term research and practical experiences gained during the DISCOVER assessment development projects funded by the U.S. Department of Education (Maker, 2005; Maker & Schiever, 2010; Maker, Zimmerman, Gomez-Arizaga, Pease, & Burke, 2015), Maker (2017) and the research team defined exceptional talent in STEM as consisting of two essential aspects: (a) a highly integrated and interconnected knowledge structure, (b) the ability to solve a variety of types of problems, from well-structured and known to ill-structured and novel, in science, technology, engineering, and mathematics in the most effective, efficient, original, or economical ways. (Maker, 2019a)
The team then developed, field tested, and implemented five new assessments. To assess the first component, “a highly integrated knowledge structure,” concept map exercises were designed for life science and physical science (Zimmerman, Maker, & Alfaiz, 2019). To assess the second component, two new performance assessments were designed, one in life science (naturalist; Zimmerman, Alfaiz, & Maker, 2019) and one in physical science (mechanical–technical; Alfaiz, Pease, Maker, & Zimmerman, 2019), and a paper/pencil assessment of problem solving in mathematics (Maker, 2019b). The spatial analytical assessment from the original DISCOVER assessment was included in the battery because of previous success with it as an assessment of analytical skills necessary in all domains, but particularly important in STEM (Maker, 2019b).
Nurturing Exceptional Talent in STEM
Identifying students with exceptional talent in STEM is only the beginning. These talents must be nurtured in ways that are culturally responsive, academically rigorous, challenging, and flexible enough to accommodate varied interests and abilities. Cultivating exceptional talent not only requires the development of a domain-specific, integrated knowledge structure but also the development of domain-general, creative problem-solving abilities. Particularly in STEM, knowledge and conceptual understanding in specific domains (content), problem-solving skills (process), and the ability to apply knowledge and understanding to novel situations (application) are essential elements (Blackley & Howell, 2015; English, 2017). When academic skills are taught within the context of real-world, open-ended problem solving, diverse, underrepresented students experience greater success in school (Maker, Zimmerman, et al., 2015).
STEM Programs
Since 1941, in the Westinghouse Science Talent Search (STS), the first and the most prestigious science competition, high school seniors have been offered opportunities to participate in original research projects (Brandwein, 1992). Recently, the STS (Society for Science & the Public, 2019) has continued searching for students who show exceptional scientific and mathematical knowledge, demonstrate problem-solving abilities, and have the greatest potential to be future scientific leaders. The program has inspired countless students to pursue science-related academic achievements and careers. Many universities provide precollege summer program to enable students with exceptional talent to be challenged in unique ways (Best College Reviews, 2019). Furthermore, 369 STEM high schools were established between 2000 and 2012, demonstrating a significant increase (National Research Center on the Gifted and Talented, 2013). Rigorous STEM programs have also been developed, such as the High School Apprenticeship Program, which provides high school students an authentic science and engineering research experience alongside university researchers, and UNITE, which is a precollege summer experience for talented high school students from groups historically underrepresented and underserved in STEM (Department of Defense, 2019). These programs have continued to provide opportunities and a nurturing environment for students to conduct advanced research, such as biotechnology experiments and agricultural research.
Student Development Resulting From Participating in STEM Programs
The role of laboratory experiences in internships that nurture students’ development has been highlighted, especially for minority high school students with exceptional talents (Fraleigh-Lohrfink, Schneider, Whittington, & Feinberg, 2013). STEM-based laboratory experiences have offered important benefits and impacts because such activities promote students’ logical and problem-solving skills if constructed appropriately (Porter, 2017). Students who participated in STEM programs increased their interest, motivation, and engagement in STEM fields (Sahin, Ayar, & Adiguzel, 2014). In a school-wide investigation, researchers found that, in the general population, teachers who integrated STEM into their content had a positive impact on student achievement. These students were better prepared for college than those from comparison schools with similar demographics with teachers who did not integrate STEM into their content (Kennedy & Odell, 2014).
Purpose and Research Questions
This study was part of a research project, CDTIS, in a unique partnership between three colleges and an engineering institute at an R1 university and four public and charter schools serving predominantly diverse (American Indian and Hispanic) students from low-income families. Studies focusing on these students’ perceptions of learning programs are scarce. The two main reasons are as follows: (a) very few underrepresented students and/or students from diverse backgrounds participate in STEM programs (Hawley, Cardoso, & McMahon, 2013; Williams & Shipley, 2018) and (b) researchers often use achievement tests to validate their intervention or evaluate their programs’ effectiveness instead of investigating students’ voices and perceptions (Sussman & Wilson, 2018).
The purpose of this investigation was to explore perspectives and experiences of students who participated in an internship and subsequent research opportunities during their senior year of high school. Students’ detailed and thoughtful responses showed program effectiveness. Thus, exploring the learning perceptions and giving these students a voice are imperative research initiatives that could provide valuable insights for educators and researchers. A research question that served as a guide to the study was as follows: How did underrepresented students with exceptional talent in STEM perceive their research program and experiences?
Method
STEM Program in an R1 University in the Southwest
Selected students were given the opportunity to nurture their talents in STEM in an R1 university through (a) the Keep Engaging Youth in Science (KEYS) summer internship program, (b) subsequent school-year research internships, and (c) successive summer workshops or internships. The CDTIS principal investigators used the idea of “learning by doing,” a component of “learning from doing within a specific social context with a support group or set, which helps members to engage in reflection about their practices” (Jarvis, 2006, p. 154).
The KEYS summer internship program was a 7-week summer laboratory research internship program initiated by the College of Pharmacy and BIO5, an institute of combined science disciplines, in 2006. Each student selected for the program was assigned to a laboratory that matched her or his interests to the extent possible. Students engaged in solving problems by working on research projects far beyond high school curricula. Students worked an average of 6 hr per day in various science laboratories, such as chemistry, biology, and entomology; they played an integral role within the research settings. During the summer internship, each student was observed a minimum of four times for 2 hr throughout the course of the internship. Six observers visited students in various laboratory and classroom settings. Each student observation was conducted by a different observer. Observers used an instrument adapted with permission from the Renzulli Scales for Rating the Behavioral Characteristics of Superior Students: learning, creativity, motivation, leadership, artistic, musical, dramatics, communication, planning, mathematics, reading, technology, and science (Renzulli et al., 2013). During the school year, CDTIS students continued their research, engaged with their peers in newly learned research strategies in STEM, and/or initiated research studies based upon their interests. A university science professor mentored individual students in their areas of research interests. In the second year, a 3-week summer workshop in selected research was presented in one high school by teachers and the CDTIS education team. The focus of this workshop was to engage students in researching and solving the local problem of desertification.
Participants and Selection Procedures
Participants
Students were selected to participate in the KEYS internship program from three high schools that served predominantly Native American and Hispanic students. Thirteen participants in grade 11, including four female and nine male students, were selected by the CDTIS team using the newly developed methods, which were assessments of mathematics, spatial analytical ability, life science concept maps, naturalist, physics concept maps, and mechanical–technical abilities (Alfaiz et al., 2019; Maker, 2019a, 2019b; Zimmerman, Alfaiz, et al., 2019). Students selected for the program demonstrated strengths within disciplines (natural science, physical science, mathematics) or within and across disciplines (creative problem solving in domains and/or spatial analytical ability). Students worked with mentors in laboratories in life science (5), pharmacy (4), life science (3), agriculture (2), medical (1), and neuroscience (1).
Selection procedures
Just as assessment cannot be separated from curriculum and teaching strategies, it cannot be separated from the context in which it is administered (Lohman, 2005; Maker, 2019a). After all the assessment exercises were completed, the observers met to discuss and analyze each student’s performance and compare it with that of other students who were observed from the same or a similar school setting. In this project, students in schools serving American Indian students were compared with students in other schools serving predominantly American Indian students; students in the school serving predominantly Hispanic students were compared with students from the same school. Performance-based assessments are criterion-referenced, meaning that participants are scored according to the number of superior problem-solving skills they exhibit, not based on a right answer or the norm for a certain grade level. The observers’ debriefing process included rating each student’s ability in a particular assessment content area using a unique scale, which included five levels: Unknown, Maybe, Probably, Definitely, and Wow. For example, the Unknown rating was used to denote insufficient data to draw conclusions, whereas the rating of Definitely was used to denote exceptional talent. For the category of Wow, students’ results were highly creative and unique in comparison with their peers. After the observers discussed and agreed on each student’s rating on each assessment, profiles were developed for each student and each school. An average for each area of ability was calculated for each school and represented by the horizontal line in each student and school profile. The education team examined the profiles of all students assessed and looked for strengths in particular areas and across all areas. The first selection of students included those who had ratings of Wow and/or Definitely in all six areas assessed (Figure 1). Next, the education team selected students who had Definitely in four areas assessed (Figure 2). Students who had Wow and/or Definitely in two domains and the corresponding areas were considered to be alternates.

Example of student’s ability profile 1. Five levels: 1 = Unknown; 2 = Maybe; 3 = Probably; 4 = Definitely; 5 = Wow.

Example of student’s ability profile 2. Five levels: 1 = Unknown; 2 = Maybe; 3 = Probably; 4 = Definitely; 5 = Wow.
Data Collection
CDTIS education team members administered a questionnaire after students’ participation in the KEYS program and during the final semester of their senior year. Students were invited to answer four questions: (a) How have you continued your KEYS research project? (b) What kind of research projects have you conducted since participating in the KEYS program? (c) How has this experience changed your final year in high school? At home? and (d) What are your plans after graduation? Students answered the questionnaire in approximately 45 min.
Data Analysis
Analysis
The researchers used the general inductive approach developed by Thomas (2006) to analyze students’ perceptions of the KEYS internship and subsequent research opportunities. The purposes of this approach were to (a) condense varied raw text data into a brief format, (b) establish links between the research findings and objectives, and (c) develop a theme/framework about the underlying structure of experiences and processes that were evident in the text data and most relevant to research objectives.
Coders
Three coders with extensive experience in education analyzed the data. The first coder had 28 years of experience as a classroom teacher (including special classes for gifted and general education students), curriculum specialist, and teacher educator with DISCOVER. The second coder, a doctoral student and research assistant, focused mainly on education for gifted and twice-exceptional students and on inclusion practices for all students. The third coder was a doctoral student who had abundant administrative and practical experience designing programs for gifted students.
Independent parallel coding
Independent parallel coding was conducted (Thomas, 2006). Codes are “labels that assign symbolic meaning to the descriptive or inferential information compiled during a study” (Miles, Huberman, & Saldaña, 2014, p. 71). During the first stage, the responses were read in detail until coders were familiar with its content. The initial coder selected and coded students’ statements relevant to research objectives and developed a set of categories that constituted the preliminary findings. The second coder created a second set of categories from the raw text. Two researchers separately generated as many codes from the actual phrases or meanings in specific text segments as possible. During the creation of categories, codes that were conceptually similar were grouped under tentative categories and the categories were labeled. The second set of categories was compared with the first set. The interrater reliability was 74.2%. To achieve more consistency and greater precision in the research, these two researchers then discussed and used the constant comparison procedure, a process that required them to compare codes and establish and refine categories to help describe the general phenomena (Bryant & Charmaz, 2007; Strauss & Corbin, 2007). To develop a more robust set of categories, some overlapping or redundant codes or subcategories were deleted, and the meaningful ones were added. The agreement between the two researchers’ codes increased to 94%. Finally, an emergent core theme relevant to these students’ experiences was identified, which also had implications for educators and researchers.
Trustworthiness
To assess the trustworthiness of the data analysis and avoid possible conceptual blind spots, a third researcher participated in the data analysis process to check the accuracy of the coding of the participants’ responses (Cohen, Manion, & Morrison, 2003; Given, 2008). This third researcher received category descriptions and 50% of the responses, and then individually found the text that belonged in those categories to verify the codes and categories as well as provide feedback for finalizing coding. The interrater agreement for the three researchers was 92.5%.
Results
Core Theme
The core theme, active involvement in problem solving inspired and motivated students with exceptional talent, was identified as the students’ perceptions of the special program for developing exceptional talent in STEM. The responses were in three main categories: (a) academic initiative and engagement, (b) transition preparation, and (c) practical skill development. The links indicated parallel categories. Each category included three identified subcategories to describe a specific phenomenon from students’ responses. The core theme, categories, and subcategories are outlined in Table 1 to advance readers’ understanding of exceptionally talented students’ perceptions of active involvement in problem solving in STEM areas.
Core Theme, Categories, and Subcategories.
Category 1: Academic Initiative and Engagement
When exploring students’ perceptions of the STEM program, the first category extracted from their responses was students’ academic initiative and engagement. This accounted for 47% of the total coded responses, representing the largest proportion of the content. The subcategories under the first category included (a) research focus, (b) extracurricular research participation, and (c) advanced learning pursuit.
Research focus
Approximately 35% of students’ responses in the academic initiative and engagement category showed their research foci. Students explained clearly what they did when participating in their projects. One student said, “I have developed a research project on how electricity and rotation could have effects on purifying water from any contaminates” (Questionnaire, March 31, 2016). Another student stated, “I am looking at how music affects people with Autism and Parkinson’s disease” (Questionnaire, March 31, 2016). These students shared their own research interests during and after the KEYS summer internship program. Some students focused on the importance of real-world connections and continuing their research. A student stated, “We have to research events happening in the world. My research is based on genetic engineering in humans. Right now, I am gathering information. It’s ongoing” (Questionnaire, April 19, 2016). Students also realized the importance of promoting environmental awareness and protection. One response showed that the program changed the student’s view of science and he or she wanted to make people aware of environmental problems. Students were involved in their research interests and ongoing studies as well as in advocacy for solving real-world problems.
Extracurricular research participation
Over 43% of coded responses in the academic initiative and engagement category were about students’ active engagement in extracurricular activities related to research after participating in the KEYS summer internship program. Participation in the KEYS internship inspired students to share their newly found research skills through participation in other practica. For example, one student expressed, “I can show others new science techniques; using equipment, presenting, speaking, getting involved, projecting the project and attacking new opportunities” (Questionnaire, March 31, 2016). Students attended science fairs to present their research results with other scientists and wrote about the benefits of research in their lives. One student even had an opportunity to be interviewed by a local reporter. For example, he or she stated, “I gave presentations during the governing board meeting of the other city’s school district. I was also asked to talk about it for an interview that was featured in the [widely distributed newspaper]” (Questionnaire, April 19, 2016). These responses showed that students continued their research through varied avenues.
Advanced learning pursuit
Nearly 22% of students’ responses in the academic initiative and engagement category reflected that they engaged actively in advanced learning opportunities. For example, one student said, “this experience changed my final year because it makes me want to do more” (Questionnaire, April 19, 2016), and another student stated that he or she “began to ask more questions” (Questionnaire, March 31, 2016). Other students provided more specific responses related to taking rigorous courses, such as “it has motivated me to take more rigorous courses” (Questionnaire, March 31, 2016) and “it gave me a new motivation and encouraged me to take on more challenging courses” (Questionnaire, March 31, 2016). Many students participated in advanced learning challenges as a result of their participation in KEYS. One student even addressed that the laboratory work in school science classes became less challenging compared with the content in the research internship. Thus, he or she desired to acquire further advanced scientific knowledge. All these responses provided evidence that the program influenced and stimulated students to pursue more challenges related to STEM fields.
Category 2: Transition Preparation
Students’ responses reflected the importance of preparation for the transition to college or careers, especially in their senior year. The percentage of coded responses (40%) shown under this category represented the second largest proportion of the content. The subcategories under the second category included (a) education and career goal planning, (b) perspective change, and (c) independence and confidence building.
Education and career goal planning
Approximately 68% of students’ responses in the transition preparation category were about their goals for their future education and careers. The CDTIS project liaisons continued working with the students and discussing future education and career goals. Students were highly concerned about education goals and demonstrated their ability to plan for their futures, including exploring career options.
Some of the students planned to continue their KEYS research by attending the R1 university. For example, one student said, “I do plan to return to Dr. Brown’s laboratory at the [university]” (Questionnaire, April 19, 2016), and another student expressed, “I will attend the [university], and major and/or minor in water sustainability, hydrology, and environmental science” (Questionnaire, April 19, 2016). In other education settings, some students planned to attend community colleges and work part-time.
Some students continued their education while led by their career goals. A few students said they would become specialists. One student said, “I want to go to medical school and get my PhD, so that I can become a pediatrician and open my own hospital or become a doctor without borders” (Questionnaire, April 19, 2016). Another student said, “I plan to attend aeronautics, to earn a degree in Air Traffic Management. Once I have my degree, I would apply for Navy or Air Force” (Questionnaire, March 31, 2016).
Perspective change
Nearly 16% of students’ responses in the transition preparation category showed their perspective change. Students indicated that their research experience had a positive influence and prepared them to better access their future goals. One student said, “the KEYS experience made me be more prepared in starting out my senior year in high school” (Questionnaire, March 31, 2016). Another affirmed his or her choices of academic goals, such as “it made me realize that I do want to go to college” (Questionnaire, April 19, 2016). One student even provided evidence that he or she gained a clear picture about college learning and life, which guided him or her to prepare for the transition from high school to college. This student stated that this experience helped know what college is, what to expect, and what to prepare, as well as understand the importance of learning math and reading.
Independence and confidence building
Students’ responses (16%) in the transition preparation category showed that they built independence and confidence during the program. For example, one student stated, “the KEYS program experience changed my last year of high school by being more independent” (Questionnaire, March 31, 2016). Furthermore, students addressed that they felt more confident in themselves. For example, one student said, “the KEYS experience has allowed me to gain confidence in myself” and “it taught me that I can do good in anything if I just try my best” (Questionnaire, March 31, 2016).
Category 3: Practical Skill Development
The percentage of coded responses under the practical skill development category was 13% of the total responses, which was the smallest proportion of the content. These responses showed evidence of (a) self-management skills acquisition, (b) leadership learning, and (c) social relationship expansion.
Self-management skills acquisition
Approximately 40% of students’ responses in the practical skill development category showed students’ responsibility for their own behavior choices and capacity to control their futures. Students described the domains in which they developed extensive organizational skills in academic, life, and finance areas. One student stated, “I am getting into the habit of working and doing assignments again” (Questionnaire, April 19, 2016); another student said, “in this last year of high school, I know how to better manage my life with work and with any other activities” (Questionnaire, April 19, 2016); and the other expressed, “this experience taught me how to financially keep a budget” (Questionnaire, April 19, 2016). The students’ responses showed that the program experiences helped them manage themselves.
Leadership learning
Approximately 20% of students’ responses in the practical skill development category showed that they learned and improved their leadership ability. Throughout the program, students were given abundant experiences to present their research, to be led, and to lead or guide others in their individual research areas. Some students pointed out clearly the word “leader,” such as “the program has made me a better leader because now I learned new techniques of presenting and speaking making it easier to run and present at meetings” (Questionnaire, March 31, 2016). Students also expressed that their public speaking skills were significantly improved. Although not many students addressed the leadership learning in detail, the research experiences cultivated their abilities on the path to be a leader, which was rarely emphasized in their school experiences.
Social relationship expansion
Approximately 40% of students’ responses in the practical skill development category showed that the CDTIS program not only contributed to their individual growth, including self-management and leadership abilities, but also expanded their social networks in academic settings. Some students said that they became more sociable and joined more activities with friends. Students addressed that the experience also helped them connect with the Research One university or other institutes. For example, one student stated, “it has helped me find connections outside of the [university]” (Questionnaire, April 19, 2016). With students’ social relationship expansion, the positive impacts increased during the program, whereas their individual exceptional talents in STEM areas were being nurtured.
Discussion
The Emergence of a Core Theme
The purpose of this study was to explore how underrepresented students with exceptional talent in STEM perceived their KEYS summer internship and subsequent research experiences. Each participant described his or her experiences in a questionnaire administered by the CDTIS project team. After a qualitative analysis, active involvement in problem solving inspired and motivated students with exceptional talent was identified as a core theme of students’ experiences. When students were engaged actively in learning, especially in problem solving, the experiences helped to enhance not only their academic achievement but also their intrinsic motivation, enjoyment, and confidence (Lumpkin, Achen, & Dodd, 2015; Wu, Pease, & Maker, 2015).
Three impacts were (a) academic initiative and engagement, (b) transition preparation, and (c) practical skill development. First, during the KEYS program, each student engaged in his or her research focus actively in a university laboratory that matched her or his interests. After their participation in the internship, students pursued advanced learning and took rigorous courses in their own high schools. Most of them continued their research by participating in extracurricular activities through different avenues. During their time at the R1 university, students gained a better understanding of the university environment and life. Students’ engagement in STEM experiences prepared them for university and/or career transitions by helping them think about their academic and/or career goals. Not only have their independence and confidence increased, but also their short- and long-term education and/or career goals were clearly set. Furthermore, the research experiences contributed to students’ self-management and leadership abilities and expanded their social networks in academic settings. In sum, the students’ voices about their active involvement in problem solving reflected their learning process and influences.
A comparison of the STEM program objectives and what students thought the program brought them, some overlaps as well as some distinctions were found among the three identified categories. Students benefited from the program not only through “academic initiative and engagement” which achieved the program’s goals, but also included “transition preparation” and “practical skill development.” The latter two were not expected due to the program’s focus on academic preparation. These students’ perceptions can be used to improve program effectiveness and to encourage collaboration among students, program designers, and/or mentors; thereby maybe resulting in students’ long-lasting learning.
Strengths of Diverse, Underrepresented Students With Exceptional Talent in STEM
Individuals from diverse cultural backgrounds, low SES, and female groups have been historically underrepresented in science areas (American Institutes for Research, 2012; Deemer et al., 2014; Hernandez et al., 2013). Strengths of the three different groups are discussed in the context of this study.
Students with diverse cultural backgrounds in this study were predominantly Native American or Hispanic. In Native Americans’ culture, life experiences and learning perspectives are influenced deeply by their own culture, which is fundamentally different from Western culture. Native Americans focus on dealing with real problems in their communities and consider that learning is communal, lifelong, informal, and holistic. They highly endorsed communal goals than individualistic goals (Smith et al., 2014). Knowledge from informal experiences in daily life is more important than what is learned in formal school settings in Native American culture (Merriam & Kim, 2008). These two knowledge concepts are parallel with Gardner’s (1992) first-order knowledge (i.e., cultural life experience) and second-order knowledge (i.e., systematic learning at school). Thus, solving real problems in their communities can be considered one of their strengths. In this study, students’ strengths were identified using an alternative identification method that included performance-based, intelligence-fair assessments. Students were encouraged to build their own knowledge base on their cultural views in the STEM program or create their own research projects. The viewpoint to respect each culture can also be applied to Hispanic people who constitute the largest ethnic minority group in the United States (U.S. Census Bureau, 2013). In Hispanic culture, they emphasize their family interdependence and traditional gender roles, in which females have less freedom than males (Lorenzo-Blanco, Unger, Baezconde-Garbanati, Ritt-Olson, & Soto, 2012). A good understanding of students’ cultural backgrounds and values may contribute to cultivating their learning and abilities (Ruggs & Hebl, 2012).
The educational achievement gap between students with low-SES and high-SES backgrounds still exists nationwide (National Science Board, 2012). Low-SES students usually lack learning experiences and nurturing environments that can encourage them to pursue studies in STEM (Smith et al., 2014). However, academic resilience has been found to be a strength of students with high abilities and low-SES backgrounds (Rojas, 2015). Individuals who have high academic resilience are academically successful and capable of overcoming obstacles that prevent other individuals with a similar background from being successful. In an 8-year qualitative study, a comprehensive look at these high-achieving and low-SES individuals showed that they had persistence and strong future orientation (Morales, 2010). Participants in Morales’ study also addressed the importance of academic mentors who not only encouraged them to succeed but also considered individual cultural competency and community background when mentoring.
In gender groups, more women who have high math skills have equally strong verbal abilities, whereas men who have high math skills often have lower verbal abilities and profiles are asymmetrical (Schmidt, 2011). Females who have a symmetrical profile with strengths in both math and verbal competencies may have broader career choices; on the contrary, males who have high math ability and low verbal abilities have narrower options in STEM fields (Nye, Su, Rounds, & Drasgow, 2012; Valla & Ceci, 2014). Thus, mathematically and verbally capable female students need to be informed about their choices of STEM careers during the program, which may be beneficial to their goal planning. Also, during mentoring, exposure to STEM role models could be implemented to increase female interest in STEM in their high school years (Valla & Ceci, 2014).
Critical Elements of a Quality STEM Program
Combining the program design and positive impacts of students’ participation in the STEM program, researchers found three critical elements integrated in the program intervention: (a) content, focusing on individual research interests and real-world problems; (b) process, providing enriched and varied activities for students’ participation; and (c) learning environment, creating supportive mentoring relationships in research projects and future goals.
First, the content of the program was focused on cultivating individual research interests and solving real-world problems. In this study, each student with exceptional talent in STEM had a highly integrated and interconnected knowledge structure and an ability to solve real-world problems in the most efficient, effective, elegant, ethical, or economical ways (Maker, 2017). These abilities continued to be cultivated during an individual program that fit each student’s abilities, academic needs, and interests. Clearly, actively engaging in research projects not only nurtured their domain-specific abilities to increase expertise but also fostered their creative problem-solving abilities to deal with real-world problems. These two components embedded in the program content are aligned with the theories of intelligence and creativity in recent decades, including domain-specific (i.e., domain-relevant skills) and domain-general (i.e., creative-relevant skills) components (Amabile, 1996; Ceci, 1996; Sternberg, 1999). Expertise in specific domains that is necessary for innovative work and creative problem-solving abilities that cut across domains are interactive and can lead to remarkable and exceptional performance (Amabile, 1997).
Second, the process within a quality STEM program includes enriched and varied activities, laboratory projects, and extracurricular activities. Many researchers have found that a scientific laboratory experience within a period of time played a pivotal role in promoting students’ problem-solving skills and engagement (Porter, 2017; Sahin et al., 2014). Similar to other studies, in this program, students’ motivation increased through STEM laboratory experiences, and students desired to engage in more challenging tasks, rigorous courses, and STEM-related activities (Sahin et al., 2014). Task motivation has been considered an essential component of creativity, showing that students have interests in and attitudes toward specific tasks (Amabile, 1996). Students were also inspired and empowered by taking ownership in development of scientific knowledge within their research areas (Hurtado, Newman, Tran, & Chang, 2010). Other extracurricular activities were provided, such as joining conferences and board meetings. Researchers have found that enrichment programs designed for students with exceptional talents are beneficial to both cognitive and social–emotional growth (Baum, Schader, & Hebert, 2014; Gubbels, Segers, & Verhoeven, 2014; Vogl & Preckel, 2014). These extracurricular opportunities to present students’ own research helped enhance their academic engagement and leadership skills and contributed to their confidence and social relationships.
The third element of a quality STEM program is the learning environment in which students were mentored by graduate students in the laboratories whose research foci matched students’ individual interests. Mentors assist students from aspiration to achievement in STEM and bolster students’ STEM self-efficacy (Powers, Schmidt, Sowers, & McCracken, 2015; Robnett, Nelson, Zurbriggen, Crosby, & Chemers, 2019). The importance of mentoring women, ethnic minorities, and low-SES individuals has been emphasized; their academic performance and self-efficacy in STEM disciplines has been enhanced (Kendricks, Nedunuri, & Arment, 2013; MacPhee, Farro, & Canetto, 2013). In our study, a detailed qualitative examination showed that students became more academically engaged in their research projects, better prepared for their transition plans, and had well-developed practical skills. In addition, after the KEYS summer internship program, CDTIS project liaisons continued working with the students and assisted by discussing future education and career goals. Students’ responses reflected that they set their future goals for academic transitions and careers. Thus, mentoring can be considered “the most important vehicle by which the talents of young scientists are developed” (McGee, 2016, p. 231) when creating a natural and encouraging learning environment for students to participate in STEM programs.
Limitations and Implications
A questionnaire was administered to the participants to collect their perceptions of a special program for developing exceptional talent in STEM. The researchers analyzed students’ responses and found specific positive impacts of participating in the program. However, using only one method (i.e., questionnaire) may limit the possibility to gather more comprehensive responses from students’ perspectives. First, some possible limitations, such as lack of motivation and time constraints, may affect the thoroughness of students’ responses. Second, the researchers could not immediately follow up to gather more descriptions or explanations from students, such as asking for elaboration of their ideas.
For future research, conducting semi-structured interviews, including open-ended questions, provides the interviewees the opportunity to fully understand questions and to clarify and extend responses. The collected data reflect “a reasonably accurate representation of what your participants think, feel, and have experienced” (Fylan, 2005, p. 65), including positive and negative impacts. In addition, future researchers can conduct focus group interviews that can facilitate deeper and richer dialogues among participants through social interactions (Carey & Asbury, 2016). Dynamic conversations can help researchers capture students’ shared experiences in STEM programs from different points of view. Furthermore, other perceptions, such as mentors and peers, can be collected to explore a more comprehensive understanding of student success as well as their challenges. In the research of which this study is a part, these students will be compared with students from similar types of schools who were selected for the summer internship using existing methods: overall GPA, teacher recommendation, and self-statements. Statistical comparisons between the two groups will be reported.
A practical implication for educators of special programs for STEM includes four principles: (a) multiple criteria identification, concurrently collecting identification data from instruments that provide both quantitative measures and qualitative judgments as well as consider their educational and SES backgrounds to identify diverse and unrepresentative students with exceptional talent; (b) content, focusing on individual research interests and real-world problems; (c) process, providing enriched and varied activities for students’ participation; and (d) learning environment, creating supportive mentoring relationships in research projects and future goals. The researchers suggest integrating these three guidelines when creating STEM programs and consider students’ strengths and cultural values from their diverse backgrounds. Furthermore, our study reinforces the idea of integrating STEM into reading, writing, and social studies to build both content and skills to empower students in confidently setting their academic and/or career goals.
Conclusion
STEM education is imperative in K-12 education settings. Students who are encouraged to engage in authentic STEM tasks and are nurtured in ways that are culturally responsive, academically rigorous, and based on individual interests and abilities affect local and national economies and future technology. “Nurturing what is best” (Seligman & Csikszentmihalyi, 2000, p. 7) can amplify students’ strengths. Students with exceptional talents in STEM require a high level of attention, especially those from traditionally diverse, underrepresented groups. Through an appropriate identification process, underrepresented students can have access to interventions that fit their interests and needs to accelerate and enrich their learning. Providing STEM programs through partnerships between high school and higher education institutions will allow them to explore broader experiences and nurture their excellence in STEM disciplines, especially preparing them for successful transitions to higher education and future careers.
Footnotes
Authors’ Note
The principal investigator is Uwe Hilgert and the co-principal investigators are C. June Maker, Frans Tax, and Martha Lindsey from University of Arizona and Harold Begay from Tuba City Public Schools.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the National Science Foundation (Grant #1321190), Cultivating Diverse Talent in STEM.
Ethical Approval
This study was approved by Navajo Nation Research Review Board (#NNR-13.166).
