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Collaborative learning offers numerous benefits to learners, largely due to the dialogue that is unfolding between them. However, there is still much to learn about the structure of collaborative dialogue, and especially little is known about co-creative dialogues during learning. This paper reports on a study with learners engaged in co-creative tasks where the learners wrote code to create a song and while engaging in textual dialogue as they did so. After gathering the textual dialogue and the actions within the interface, we learned a hidden Markov model (HMM) to reveal co-creative states. The seven-state model revealed four states primarily composed of coding actions that included browsing the curriculum documents, working in the code editor, compiling the code successfully, and receiving a compile error. The remaining three states are primarily composed of dialogue that can be characterized as social, aesthetic, and technical dialogue. Next, we analyzed the relationships between the co-creative states revealed by the HMM and students' partner satisfaction scores from a post-survey. The results reveal the relative frequency of actions in certain states and some transitions between states were predictive of partner satisfaction. For example, partner satisfaction was negatively associated with the "Compilation Error" state and with the relative frequency of transitions from the "Curriculum Browsing" state to the "Code Editing" state. Partner satisfaction was also negatively associated with the relative frequency of transitions from the "Aesthetic Dialogue" state to the "Technical Dialogue" state and the "Code Editing" state. This line of investigation reveals how co-creative processes are associated with partner satisfaction, and holds the potential to inform scaffolding for collaborative learning.

Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation modeling, multi-level modeling, and qualitative analyses were performed to examine how participation in EarSketch and other factors affect students' intentions to persist in computing. Findings: Students significantly increased their intentions to persist in computing, g = 0.40[0.25,54], but examination within just the five quasi-experimental studies did not result in a significant difference for students in EarSketch compared to students not in EarSketch, g = 0.08[-0.07, 0.23]. Student attitudes towards computing and the perceived authenticity of the EarSketch environment significantly predicted intentions to persist in computing. Implications: Participation in computer science education can increase students' intentions to persist in programming, and EarSketch is one such program that can aid in these intentions.

This article presents EarSketch, a learning environment that combines computer programming with sample-based music production to create a computational remixing environment for learning introductory computing concepts. EarSketch has been employed in both formal and informal settings, yielding significant positive results in student content knowledge and attitudes toward computing as a discipline, especially in ethnic and gender populations that are currently underrepresented in computing fields. This article describes the rationale and components of EarSketch, the evaluation design, and lessons learned to apply to future environment design and development.

Georgia Computes! ("GaComputes") was a six-year (2006-2012) project to improve computing education across the state of Georgia in the United States, funded by the National Science Foundation. The goal of GaComputes was to broaden participation in computing and especially to engage more members of underrepresented groups which includes women, African Americans, and Hispanics. GaComputes' interventions were multi-faceted and broad: summer camps and after-school/weekend programs for 4th-12th grade students, professional development for secondary teachers, and professional development for post-secondary instructors faculty. All of the efforts were carefully evaluated by an external team (led by the third and fourth authors), which provides us with an unusually detailed view into a computing education intervention across a region (about 59K square miles, about 9.9 million residents). Our dataset includes evaluations from over 2,000 students who attended after-school or weekend workshops, over 500 secondary school teachers who attended professional development, 120 post-secondary teachers who attended professional development, and over 2,000 students who attended a summer day (non-residential) camp. GaComputes evaluations provide insight into details of interventions and into influences on student motivation and learning. In this article, we describe the results of these evaluations and describe how GaComputes broadened participation in computing in Georgia through both direct interventions and indirect support of other projects.

Why would individuals who are capable of learning opt not to? Learning is important for stability and success. It would seem rational that students in groups that are frequently underrepresented or marginalized would be motivated to learn. However, negotiation of multiple identities and self-beliefs can impact motivations to learn. For example, young African American males frequently adopt a "cool pose" in their approach to education. They maintain that they do not care and will not try to be a part of the existing educational system. To better understand these issues, we studied African American males in the Glitch Game Testers program. High school students in the Glitch program worked as paid game testers and took workshops in computer science. More than 65% of the participants went on to study computing after high school. We found that these students persisted with education and computing because they navigated around motivations to not learn by creating many different faces for their involvement with Glitch. In this article, we explore the use and design implications of face-saving tactics these young men used to "geek out" on computer programming, choose computer science for their career, and maintain their current identities with friends and families.

AbstractThe rapid expansion of K-12 computer science education highlights the urgent need for well-prepared teachers. The Computer Science Teachers Association (CSTA) facilitates the development of local teacher professional learning communities (PLCs) through CSTA chapters. This study investigated the types of support CSTA chapters provide, how teacher leaders establish local PLCs and engage teachers of computer science, and the challenges encountered in this process. The investigation included multi-year focus group interviews with chapter leaders and teacher member surveys. The findings reveal that CSTA chapters serve as vital resources of professional support, amplify teachers’ voices, and nurture their professional identities in teaching computer science. This study provides a nuanced understanding of local PLCs for computer science educators, informing future endeavors in teacher preparation and development. [ABSTRACT FROM AUTHOR]