Background and Context: Post-secondary Computer Science (CS) students' career choices are complex sociocultural decisions, shaped by self-efficacy, belonging, and a multitude of known factors. Prior work has investigated the effect of these factors on career choice, but perspectives that examine norms of career practice are unexplored within…

Emerging careers in technology-focused fields such as data science coupled with necessary graduate outcomes mandate the need for a truly interdisciplinary pedagogical approach. However, the rapid pace of curriculum development in this field of inquiry has meant that curricula across universities has largely evolved in line with the internal…

The focus of this research was to create and test an introductory computer science course for middle school. Titled "Foundations for Advancing Computational Thinking" (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving. FACT was also piloted as a seven-week course…

Modern robots, like today's smartphones, are complex devices with intricate software systems. Introductory robot programming courses must evolve to reflect this reality, by teaching students to make use of the sophisticated tools their robots provide rather than reimplementing basic algorithms. This paper focuses on teaching with Tekkotsu, an open…

A national web-based survey was administered to 700 undergraduate computer science (CS) programs in the United States as part of a stratified random sample of 797 undergraduate CS programs. The 251 program responses (36% response rate) regarding social and professional issues are presented. This article describes the demographics of the…

Contributing student pedagogy (CSP) builds upon social constructivist and community-based learning principles to create engaging and productive learning experiences. What makes CSP different from other, related, learning approaches is that it involves students both learning from and also explicitly valuing the contributions of other students. The…

Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…

This paper describes the Reinventing Computer Science Curriculum Project at the University of Nebraska-Lincoln. Motivated by rapid and significant changes in the information technology and computing areas, high diversity in student aptitudes, and high dropout rates, the project designed and implemented an integrated instructional/research…

Computer science education research has mostly focused on cognitive approaches to learning. Cognitive approaches to understanding learning do not account for all the phenomena observed in teaching and learning. A number of apparently successful educational approaches, such as peer assessment, apprentice-based learning and action learning, have…

The premise of this paper is that computer science has much to offer the endeavor of instructional improvement. Software design processes employed in computer science for developing software can be used for planning instruction and should improve instruction in much the same manner that design processes appear to have improved software. Techniques…