The push to teach coding in schools continues to gain momentum. Coding helps students develop skills in problem-solving, critical thinking, and creativity, as well as improve overall academic performance. However, students with disabilities often face challenges in areas such as problem-solving, mathematics, and multistep reasoning when learning…

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…

The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…

As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering…

The purpose of "The Pathways and Experiences of Illinois Computer Science Undergraduate Students Series," as the name suggests, is to understand the pathways and experiences of computer science (CS) and tech students in post-secondary programs throughout Illinois, paying particular attention to students from historically marginalized…

In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability…

This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…

New York City's Computer Science for All (CS4All) initiative, launched in 2015, aimed to provide all students across the system with at least one CS experience at each grade band (K-2, 3-5, 6-8, and 9-12). The initiative placed particular emphasis on broadening participation among girls, and Black and Latinx students, who are underrepresented in…

This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…

This study explored the dynamics and key factors influencing the development of computer science education (CSEd) pathways in teacher preparation at 10 higher education institutions in the United States. Through cross-case analysis, the findings highlighted that personal commitment and leadership from CSEd champions played a key role in initiating…

The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…

As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…

In "Supporting Latina Students in Engineering and Computing," Sarah L. Rodriguez presents a series of evidence-based strategies to foster a sense of belonging and inclusion among Latina students in engineering and computing programs. This work emphasizes the need for asset-based, culturally rooted perspectives to shift departmental…

The "Understanding Implicit Bias" workshops were offered to Science, Technology, Engineering, and Mathematics (STEM) faculty at an urban minority-serving undergraduate institution with a focus on addressing the gender gap in computer science. The workshops aimed to raise awareness of implicit (unconscious) biases and provide practical…

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…