skip to main content


Title: Examining the What, Why, and How of Multilingual Student Identity Development in Computer Science
Abstract: Developing student interest is critical to supporting student learning in computer science. Research indicates that student interest is a key predictor of persistence and achievement. While there is a growing body of work on developing computing identities for diverse students, little research focuses on early exposure to develop multilingual students’ interest in computing. These students represent one of the fastest growing populations in the US, yet they are dramatically underrepresented in computer science education. This study examines identity development of upper elementary multilingual students as they engage in a year-long computational thinking curriculum, and follows their engagement across multiple settings (i.e., school, club, home, community). Findings from pre- and -post surveys of identity showed significant differences favoring students’ experiences with computer science, their perceptions of computer science, their perceptions of themselves as computer scientists, and their family support for computer science. Findings from follow-up interviews and prior research suggest that tailored instruction provides opportunities for connections to out-of-school learning environments with friends and family that may shift students’ perceptions of their abilities to pursue computer science and persist when encountering challenges.  more » « less
Award ID(s):
1735040
NSF-PAR ID:
10348806
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
ACM Transactions on Computing Education
ISSN:
1946-6226
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Background: There has been a dearth of research on intersectional identities in STEM, including the fields of computing and engineering. In computing education research, much work has been done on broadening participation, but there has been little investigation into how the field of computer science (CS) presents opportunities for students with strong intersectional identities. This study explores the strengths and connections among the unique identities and the symbiotic relationships that elementary Latina students hold in CS identity attainment. Purpose: The aim of this article is to better understand how predominantly low-income, multilingual Latina students experience identity development through the lens of diverse group membership. We examine how young Latinas, through their participation in a yearlong culturally and linguistically responsive CS curriculum, leverage their intersecting identities to rewrite the formula of what a computer scientist is and can be, leaving space to include and invite other strong identities as well. Research Design: An explanatory sequential mixed-methods design was used that analyzed data from predominantly low-income, multilingual Latinas in upper elementary grades, including pre- and post-CS identity surveys (N = 50) delivered before and after implementation of the curriculum, and eight individual semi-structured student interviews. Findings: We found that Latina students developed significantly stronger identification with the field of CS from the beginning to the end of the school year with regard to their experiences with CS, perception of themselves as computer scientists, family support for CS and school, and friend support for CS and school. Interviews revealed that perception of their CS ability greatly influenced identification with CS and that girls’ self-perceptions stemmed from their school, cultural, and home learning environments. Conclusion: Our results highlight the wealth of resources that Latinas bring to the classroom through their home- and community-based assets, which are characterized by intersecting group membership. Students did not report on the intersection between language and CS identity development, which warrants further investigation. 
    more » « less
  2. Background: There has been a dearth of research on intersectional identities in STEM, including the fields of computing and engineering. In computing education research, much work has been done on broadening participation, but there has been little investigation into how the field of computer science (CS) presents opportunities for students with strong intersectional identities. This study explores the strengths and connections among the unique identities and the symbiotic relationships that elementary Latina students hold in CS identity attainment. Purpose: The aim of this article is to better understand how predominantly lowincome, multilingual Latina students experience identity development through the lens of diverse group membership. We examine how young Latinas, through their participation in a yearlong culturally and linguistically responsive CS curriculum, leverage their intersecting identities to rewrite the formula of what a computer scientist is and can be, leaving space to include and invite other strong identities as well. Research Design: An explanatory sequential mixed-methods design was used that analyzed data from predominantly low-income, multilingual Latinas in upper elementary grades, including pre- and post-CS identity surveys (N = 50) delivered before and after implementation of the curriculum, and eight individual semistructured student interviews. Findings: We found that Latina students developed significantly stronger identification with the field of CS from the beginning to the end of the school year with regard to their experiences with CS, perception of themselves as computer scientists, family support for CS and school, and friend support for CS and school. Interviews revealed that perception of their CS ability greatly influenced identification with CS and that girls’ self-perceptions stemmed from their school, cultural, and home learning environments. Conclusion: Our results highlight the wealth of resources that Latinas bring to the classroom through their home- and community-based assets, which are characterized by intersecting group membership. Students did not report on the intersection between language and CS identity development, which warrants further investigation. 
    more » « less
  3. The demand is growing for a populace that is AI literate; such literacy centers on enabling individuals to evaluate, collaborate with, and effectively use AI. Because the middle school years are a critical time for developing youths’ perceptions and dispositions toward STEM, creating engaging AI learning experiences for middle grades students (ages 11 to 14) is paramount. The need for providing enhanced access to AI learning opportunities is especially pronounced in rural areas, which are typically underserved and underresourced. Inspired by prior research that game design holds significant potential for cultivating student interest and knowledge in computer science, we are designing, developing, and iteratively refining an AI-centered game development environment that infuses AI learning into game design activities. In this work, we review design principles for game design interventions focused on middle grades computer science education and explore how to introduce AI learning experiences into interactive game-design activities. We also discuss results from our initial co-design sessions with middle grades students and teachers in rural communities. 
    more » « less
  4. In recent years, Wyoming has developed Computer Science (CS) standards for adoption and use within K-12 classrooms. These standards, adopted in January of 2022, go into effect for the 2022-2023 school year. The University of Wyoming has offered two different computer science week-long professional developments for teachers. Many K-12 teachers do not have a CS background, so developing CS lessons plans can be a challenge in these PDs.This research study is centered around three central questions: 1) To what extent did K-12 teachers integrate computing topics into their PD created lesson plans; 2) How do the teacher perceptions from the two CS PDs compare to each other; and 3) How was the CS PD translated to classroom activity? The first PD opportunity (n=14), was designed to give hands-on learning with CS topics focused on cybersecurity. The second PD opportunity (n=28), focused on integrating CS into existing curricula. At the end of each of these PDs, teacher K-12 teachers incorporated CS topics into their selected existing lesson plan(s). Additionally, a support network was implemented to support excellence in CS education throughout the state. This research study team evaluated the lesson plans developed during each PD event, by using a rubric on each lesson plan. Researchers collected exit surveys from the teachers. Implementation metrics were also gathered, including, how long each lesson lasted, how many students were involved in the implementation, what grades the student belonged to, the basic demographics of the students, the type of course the lesson plan was housed in, if the K-12 teacher reached their intended purpose, what evidence the K-12 teacher had of the success of their lesson plan, data summaries based on supplied evidence, how the K-12 teachers would change the lesson, the challenges and successes they experienced, and samples of student work. Quantitative analysis was basic descriptive statistics. Findings, based on evaluation of 40+ lessons, taught to over 1500 K-12 students, indicate that when assessed on a three point rubric of struggling, emerging, or excellent - certain components (e.g., organization, objectives, integration, activities & assessment, questions, and catch) of K-12 teacher created lessons plans varied drastically. In particular, lesson plan organization, integration, and questions each had a significant number of submissions which were evaluated as "struggling" [45%, 46%, 41%] through interesting integration, objectives, activities & assessment, and catch all saw submissions which were evaluated as "excellent" [43%, 48%, 43%, 48%]. The relationship between existing K-12 policies and expectations surfaces within these results and in combination with other findings leads to implications for the translation of current research practices into pre-collegiate PDs. 
    more » « less
  5. The expansion of computer science (CS) into K-12 contexts has resulted in a diverse ecosystem of curricula designed for various grade levels, teaching a variety of concepts, and using a wide array of different programming languages and environments. Many students will learn more than one programming language over the course of their studies. There is a growing need for computer science assessment that can measure student learning over time, but the multilingual learning pathways create two challenges for assessment in computer science. First, there are not validated assessments for all of the programming languages used in CS classrooms. Second, it is difficult to measure growth in student understanding over time when students move between programming languages as they progress in their CS education. In this position paper, we argue that the field of computing education research needs to develop methods and tools to better measure students' learning over time and across the different programming languages they learn along the way. In presenting this position, we share data that shows students approach assessment problems differently depending on the programming language, even when the problems are conceptually isomorphic, and discuss some approaches for developing multilingual assessments of student learning over time. 
    more » « less