Evaluating K-16 Student Engagement In STEM-based Drone Racing

Introduction: There is a gender imbalance in Computer science (CS) and STEM education and careers where males are more represented. With evolving technologies arising and the need for a more diverse workforce, it is important to identify factors that may cause females to be more prone to not persist in CS careers.This study investigated gender differences and psychosocial perceptions of experiences in a CS education class.Method: Twelve students were recruited to the study. Data on judgements of performance and psychosocial aspects of the course was collected (learning, difficulty, enjoyment).Results: There were no significant differences between boys’ and girls’ perceptions of performance and experiences in the course. Females, however, reported small to medium effect sizes in experiencing more learning, more enjoyment and experienced more difficulties than boys in the course.Conclusion: Future studies should control for gender differences in CS and STEM education. Same sex role models might influence experience and perceptions of performance, which can influence persistence of females in CS careers.

This paper explores the use of a constructivist 21st-century learning model to implement a week-long workshop, delivered as a “hackathon,” to encourage preuniversity teenagers to pursue careers in STEM, with a particular emphasis on computer science. For Irish preuniversity students, their experience of computing can vary from word processing to foundational programming, and while many schools are looking to introduce more ICT into the classroom, many students are left with a narrow view of what computer science is all about. Twenty-one students participated in the workshop and completed pre- and post-surveys, and a free word association exercise in the areas of computing and careers in computing. Analysis revealed that students' motivation to learn about the design process, programming, inputs and outputs, and wearable technology (wearables)/Internet of Things (IoT) increased following participation. There were also increases in confidence in inputs and outputs and wearables/IoT following participation, as well as changes in the computing word associations, with students associating computing more with computer programming terms rather than general terms such as the Internet. The findings suggest that the combination of a hackathon event and a model for 21st century learning can be effective in motivating and increasing the self-efficacy of preuniversity teenagers in a number of emerging technological contexts such as IoT and wearables.

Community college students face difficulties in mathematics courses and may not understand the relevance of the topics they are learning to their intended career. When such connections are not made, mathematics courses can become barriers to pursuit of careers in Science, Technology, Engineering, and Mathematics (STEM). In the present study, we assessed student interest in mathematics and various STEM career areas and students’ knowledge of ways mathematics was involved in STEM careers in order to better understand how these variables are related. We discovered that interest in mathematics predicted interest in many, but not all, categories of STEM and STEM-related careers. We also assessed how deeply the student was engaged with their current career pathway, and how this related to other variables. We found that students’ depth of interest in their chosen career path was only associated with mathematics interest for some STEM careers. Finally, students’ perceptions of how mathematics was used in their chosen career area predicted their interest in mathematics, and their interest in some STEM career areas.

In this chapter, we offer communicative perspectives and challenges related to gender representation and the gendered organizing and career processes in science, technology, engineering, and math (STEM) areas. We focus on the meaning of work in STEM and how these meanings are (re)created and communicated through d/Discourses. Using a discursive approach, new perspectives on the issue of the underrepresentation of women in STEM careers derive from the constructed nature of STEM work itself and its meaningfulness to different groups, particularly women. Engagement in STEM careers also provides a context to evaluate and expand theory, research, and practice in communication. We use multi-disciplinary lenses to examine developmental, educational, media, technological, socio-cultural, and organizational perspectives on STEM work and careers. In summary, this chapter examines the discursive roots of contemporary constructions and images of STEM work, careers, education, and organizations, offering an opportunity to address a socially relevant issue and context for further examination and explication of communication research, theories, and practices across specialties.

Educators and researchers have been working to understand the reasons that may be contributing to high dropout rates, and low rates of participation, by females in the computer and information sciences discipline. Along the same lines, and propelled by the increased need for information technology (IT) professionals worldwide, we implemented a students' survey during the fall of 2015 in Norway's primary university for technological education. In this initiative we aim to identify reasons that may be contributing to high dropout rates, low rates of participation by females and aspects important for the efficient preparation of young people for careers in computer science and information technology. The results provide valuable insights and allow us to take appropriate measures for enhancing students' learning experience in the computer and information sciences.

This paper describes the design and evaluation ofZoo U, a novel computer game to assess children’s social skills development.Zoo Uis an innovative product that combines theory-driven content and customized game mechanics. The game-like play creates the opportunity forstealth assessment, in which dynamic evidence of social skills is collected in real time and players’ choices during gameplay provide the needed data. To ensure the development of an engaging and valid game, we utilized an iterative data-driven validation process in which the game was created, tested, revised based on student performance and feedback, and retested until game play was statistically matched to independent ratings of social skills. We first investigated whether the data collected through extensive logging of student actions provided information that could be used to improve the assessment. We found that detailed game logs of socially relevant player behavior combined with external measures of player social skills provided an efficient vector to incrementally improve the accuracy of the embedded assessments. Next, we investigated whether the game performance correlated with teachers’ assessments of students’ social skills competencies. An evaluation of the final game showed (a) significant correlations between in-game social skills assessments and independently obtained standard psychological assessments of the same students and (b) high levels of engagement and likeability for students. These findings support the use of the interactive and engaging computer game format for the stealth assessment of children’s social skills. The created innovative design methodologies should prove useful in the design and improvement of computer games in education.

Gender equity and quality education are Sustainable Development Goals that are present when a culture of equity and inclusion is pursued in society, companies, and institutions. Particularly in undergraduate programs in Science, Technology, Engineering, and Mathematics (STEM), there is a noticeable gender gap between men and women. The objective of this study was to find out the causes of permanence in STEM careers of women, as well as the possible causes of career abandonment towards another STEM or non-STEM career. This was done by analyzing historical data for admission to STEM careers and using an instrument (survey) for data collection carried out in a private university in Mexico. Historical data indicates that only 17% of the total population were women choosing a STEM career. A survey was carried out for 3 months to obtain information on the factors that affect the decision to opt for a STEM career or to remain in it. It was found that men and women prefer inspiring Faculty who motivate them to continue their careers. Factors such as the competitive environment and the difficulty of teaching with less empathetic Faculty were negative and decisive aspects of decision-making. School achievement did not influence the dropout rate of women in STEM careers. The factors of choice and desertion of women in STEM careers were determined, and actions of educational innovation such as mentoring and timely monitoring of already enrolled female students, digital platforms for students and Faculty, awareness workshops for Faculty, and talks with successful women in STEM areas were proposed.

Advances in online geospatial technologies (GST) have expanded access to K‐12 classrooms which has implications for the support teachers require to effectively integrate GSTs to promote learning. Previous studies have shown the impact of GST‐integrated lessons on student engagement, spatial thinking skills, and/or content knowledge; however, most of these studies have been small in scope and scale and frequently focus on the affordances of the technology, without addressing the context of the implementation and student characteristics for whom GST is most impactful. We attempt to address some of these gaps. Our program scaled an effective GST‐focused professional learning and development program to a national audience through a facilitator development model. This paper explores the student characteristics and lesson factors that resulted in student interest in science and technology and careers in those fields. After teaching a Geospatial Inquiry lesson created during a teacher workshop, teachers (n = 82) submitted the lessons and surveys on the implementation of Geospatial Inquiry lessons. The implementation surveys and lessons were scored for alignment to the principles of high‐quality Geospatial Inquiry. Students (n = 1924) completed a post‐lesson retrospective survey and indicated the extent to which their perceptions and attitudes toward science and technology changed because of the lesson. Results indicate that teacher GST performance is associated with increases in student outcomes. Students with previous exposure to science activities were more likely to have increased interest and excitement in science and careers in science but decreased interest in technology careers. Students who had previous exposure to technology activities had increased interest and excitement in technology and careers in technology but decreased interest in science careers. Geospatial Inquiry lessons also had a significant impact on students who are traditionally underrepresented in STEM fields. After participating in the lessons, students who identify as female reported higher engagement and interest in science and higher interest in science careers. Students who identified as Black or Hispanic also reported higher interest and excitement in science and technology, and students who identified as Black reported marginally higher interest in science careers.

Like other STEM fields, computer science (CS) lacks representation of minorities, such as Black and Hispanic individuals, both in the number of bachelor’s degrees obtained and the number of individuals in the CS workforce. Out-of-school CS programs are often designed with the intent to inspire young people to pursue careers in CS. Much of this programming focuses on developing student interest in CS and CS careers. Nevertheless, it is not well understood how the stereotypes that children hold about computer scientists contribute to CS interest and career choice. In this study, we set out to examine the complex relationships between CS interest, held stereotypes, and CS career choice. We surveyed participants in an after-school CS program offered to middle school boys who identified with racial and ethnic minority groups (N= 110). We tested three linear regression models and confirmed that CS interest and socially divergent stereotypes—those that diverged from societal norms—of computer scientists play unique and contrary roles in young boys’ career decision-making process even when controlling for home and school factors. These models suggest educational CS programs should include curriculum to dispel participants’ socially divergent stereotypes about computer scientists rather than targeting CS interest alone, particularly if a goal is to inspire diverse young people to pursue careers in CS.

BackgroundDecades of research have examined what motivates students to pursue careers in science, technology, engineering, and mathematics (STEM) fields, but STEM careers are a broad category encompassing hundreds of distinct vocations. The present study examined high school students’ relative preferences for pursuing some types of STEM careers over others and explored what motivational beliefs (defined in accordance with situated expectancy value theory) most influenced students’ relative career preferences. A secondary goal was to examine whether there were differences in any patterns as a function of students’ intersecting gender and racial/ethnic identities. A large sample of high school students (N = 526) completed an online survey during class time about their beliefs regarding fifteen different STEM career categories.ResultsStudents’ career preferences could be classified into four groups: appealing, unappealing, polarizing, or overlooked. The last category was the most common. Students primarily selected reasons related to utility and attainment value in influencing their choices of most- and least-preferred careers. However, within this category, beliefs about helping others were stronger influences on choosing most-preferred careers, whereas concerns about fitting in were more influential for choosing least-preferred careers. Gender and racial/ethnic comparisons suggest differentiation in how students think about the appeal of various career paths as early as high school.ImplicationsFindings shed light on how students come to perceive some STEM career paths as relatively more appealing than others, with attention to gender and racial/ethnic differences in these processes. Findings also point to specific and actionable ideas for how teachers, counselors, and administrators can target career education to cultivate students’ interest in STEM career paths, where there are particular needs.

Women are vastly underrepresented in the fields of computer science and engineering (CS&E). We examined whether women might view the intellectual characteristics of prototypical individuals in CS&E in more stereotype-consistent ways than men might and, consequently, show less interest in CS&E. We asked 269 U.S. college students (187, 69.5% women) to describe the prototypical computer scientist (Study 1) or engineer (Study 2) through open-ended descriptions as well as through a set of trait ratings. Participants also rated themselves on the same set of traits and rated their similarity to the prototype. Finally, participants in both studies were asked to describe their likelihood of pursuing future college courses and careers in computer science (Study 1) or engineering (Study 2). Across both studies, we found that women offered more stereotype-consistent ratings than did men of the intellectual characteristics of prototypes in CS (Study 1) and engineering (Study 2). Women also perceived themselves as less similar to the prototype than men did. Further, the observed gender differences in prototype perceptions mediated the tendency for women to report lower interest in CS&E fields relative to men. Our work highlights the importance of prototype perceptions for understanding the gender gap in CS&E and suggests avenues for interventions that may increase women’s representation in these vital fields.

The US Bureau of Labor Statistics predicts over 8 million job openings in IT and computing, including 1 million cybersecurity postings, over the current five-year period. This paper presents lessons learned in preparing middle-school students in rural Georgia for future careers in computer science/ IT by teaching computer programming in the free, open-source programming language Python using Turtle graphics, and discusses exercises and activities with low-cost drones, bots, and 3D printers to get students interested and keep them engaged in coding. Described herein is one pair of instructors’ (one middle-school, one university) multi-year, multi-stage approach to providing engineering and technology courses, including: how to code Turtle graphics in Python; how to engage children by using short, interactive, visual programs for every age level; building cross-curricular bridges toward technology careers using 3D printing, robotics, and low-cost drones; and, how to build more advanced programming skills in Python.

BackgroundStudents’ positive perceptions of scientists or engineers have been reported to be positively related to their science, technology, engineering, and mathematics (STEM) career aspirations. However, other research indicates that positive perceptions of experts in these fields might not necessarily lead to students’ pursuit of STEM careers. Self-concept, defined as one’s perceived abilities in specific academic domains, likely plays a moderating role in the relationship between perceptions and career aspirations according to the motivational theory of role modelling. Moreover, students’ perceptions of STEM professionals might be sourced from STEM-related media and school experiences. Therefore, through running a moderated mediation model, this study examined whether and how the influences of media consumption and school STEM learning opportunities on career aspirations would be mediated by perceptions of STEM professionals, and whether the mediation effect would be conditional on students’ self-concept.MethodsData were collected through an online survey of 608 primary and secondary school students from Hong Kong, and were analysed using structural equation modelling.ResultsResults revealed that the students’ positive perceptions of STEM professionals were positively associated with their career aspirations, and mediated the links from media consumption and school opportunities to career aspirations. In addition, this mediated pathway depended on STEM self-concept, such that perceptions of STEM professionals were only linked with STEM career aspirations for adolescents with average or high levels of self-concept.ConclusionsThe findings of this study suggest the need to pay attention to the STEM perceptions and self-concept interaction while designing and implementing learning activities to connect a diversity of students with STEM careers. It is not only important to foster students’ self-concept, but also to enrich their knowledge of diverse occupations, so as to help diversify their perceptions that being professionals in these fields is desirable and attainable, and to eventually inspire more student engagement and participation in STEM.

Surviving Racism and Sexism in Academia: Sharing Experiences, Insights, and Perspectives

This Innovative Practice Full Paper discusses a coding/programming academy that used games and robotic programming as engaging hands-on approaches to teach 6 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> grade (the first grade in secondary education in USA) females coding/programming concepts to increase their knowledge and interest in computer science. Careers in computer science continue to grow, but fewer women than men are even considering these careers. Increasing participation of women in coding/programming is necessary to meet the growing demand for computing professionals to develop a diverse workforce. Today, many organizations are implementing programming coding/programming academies/camps that attempt to engage students in computer science, at an early age, by exposing them to fun and interesting computer science skills in coding/programming. We have developed a coding/programming academy that uses educational robotics and hands-on game applications to demonstrate computing concepts to young females. To address pressing equity issues of the lack of females in computer science careers, the goal of this summer coding/programming academy was to educate and empower young females, at an early age, to discover computer science careers, which has been one of the first attempts to establish a coding/programming academy for females in our region. Our coding/programming academy differs from others in several ways. First, it was for 6 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> -grade females only, to take advantage of preferences of noncompetitive and social learning opportunities, in order to improve female participation. Second, we hired female instructors and invited female professionals from local industries to assist the academy by serving as mentors. Third, it introduced both robotic and game coding/programming to the females. Fourth, it adopted social learning, e.g., pair programming. A formal assessment of the 2018 academy found that the academy's female participants experienced a significant increase in knowledge and interest in computer science. This paper describes the organization, coordination, content, and assessment of the coding/programming academy. It describes how the academy was organized and taught, which includes a brief description of the instructional materials, the concepts taught in each hands-on session, how the academy was assessed and the assessment results, and the first-year experience of conducting the coding/programming academy, and lessons learned. The intent of this paper is to provide all the information needed for others to host similar academies and further prompt the effort to increase female participation in computer science careers.