Studies show that both test anxiety (TA) and self-efficacy (SE) have an impact on academic performance and that different students experience TA at different levels. For example, TA has consistently been shown to be higher and SE to be lower for women ...

CS education lacks sufficiently robust and specific theories of learning for programming language acquisition (PLA) to guide pedagogical design, assessment of students' learning, and research programs. In designing theories of learning for PLA, it is ...

Student cheating on at-home programming assignments is a well- known problem. A key contributor is externally-obtained solutions from websites, contractors, and recently generative AI. In our experience, such externally-obtained solutions often use ...

Small, auto-gradable programming exercises provide a useful tool with which to assess students' programming skills in introductory computer science. To reduce the time needed to produce programming exercises of similar difficulty, previous research has ...

Artificial Intelligence-driven Development Environments (AIDEs) offer developers revolutionary computer programming assistance. There is great potential in incorporating AIDEs into Computer Science education; however, the effects of these tools should be ...

In today's digital era, a diverse and proficient cohort in the computing field is essential for nations to operate, advance, and stay competitive. However, challenges persist in introducing newcomers to computing, particularly in the first programming ...

Given the importance of the introductory programming course (CS1), the Computer Science Education community has devoted a significant effort to generate empirical evidence and propose tools, techniques, and curricular approaches to support students. For ...

Reading, understanding and explaining code have traditionally been important skills for novices learning programming. As large language models (LLMs) become prevalent, these foundational skills are more important than ever given the increasing need to ...

The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has shown that LLMs ...

Parsons problems are a type of programming activity that present learners with blocks of existing code and requiring them to arrange those blocks to form a program rather than write the code from scratch. Micro Parsons problems extend this concept by ...

Course-based Undergraduate Research Experience (CURE) is a pedagogy for engaging an entire class in the scientific exploration of real research problems with unknown solutions that have impact beyond the classroom. Since CUREs originated in biological ...

Parsons problems provide useful scaffolding for introductory programming students learning to write code. However, generating large numbers of high-quality Parsons problems that appeal to the diverse range of interests in a typical introductory course is ...

Leveraging Large Language Models (LLMs) for personalized learning and support is becoming a promising tool in computing education. AI Assistants can help students with programming, problem-solving, converse with them to clarify course content, explain ...

Integrating AI-driven tools in higher education is an emerging area with transformative potential. This paper introduces Iris, a chat-based virtual tutor integrated into the interactive learning platform Artemis that offers personalized, context-aware ...

Computer Science educators widely agree that ethics is a vital and underdeveloped part of the CS curriculum. Attempts to increase ethics content within undergraduate CS programs have faced challenges integrating material into the current coursework. I ...

Computing and computing concepts are interconnected with virtually every aspect of daily life and every field of study. However, when teaching new computing concepts to novice programmers, the number of example domain applications that can be presented ...

As undergraduate computer science enrollments continue to grow, individualized instructor attention becomes increasingly scarce. The impact of social distance between students and their teachers is particularly apparent in large introductory classes, ...

This study utilizes large language models to extract foundational programming concepts in programming assignments in a CS1 course. We seek to answer the following research questions: RQ1. How effectively can large language models identify knowledge ...

The sense of belonging among 285 students was explored at four post-secondary institutions in the United States in introductory courses in Computer Science (one course) and Chemistry (three courses). In all four courses instructors employed Process ...

A notional machine is an abstract representation of a program's execution. These alternate representations serve to highlight otherwise hidden or subtle behavior in program execution, and eliminate unnecessary or irrelevant details that can obstruct ...