The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…

This paper will present a brief history of computing education in England from 1970 to 2014. It sets out to provide the context which shaped the 2014 computing curriculum. After this curriculum had been in place for almost a decade, the paper provides an opportunity to see how computing skills, including information communications technology…

Digital technology is a part of children's everyday lives, yet very little known about teachers' perceptions and practice of cybersecurity education in primary education. This study aimed to shed light on this, focusing primarily on children's password practices. A questionnaire was distributed to primary school teachers across Scotland, with 114…

Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…

Gender imbalance in the technology sector is a long-standing issue. For several decades, Computer Science (CS) outreach activities have become an established strategy for encouraging girls to pursue courses and careers in the field of computing. However, it is not clear how impactful these initiatives are, or what elements make them valuable. A…

Background/purpose: This experimental case study explores professional motivation in learning English among Computer Information Technology (CIT) students at an applied college in Saudi Arabia. The study investigates how motivational drivers, integrated with pedagogical intervention, influence language learning. Materials/methods: A total of 120…

This brief examines the New York City Public Schools' (NYCPS) Computer Science for All (CS4All) initiative's efforts to build teacher capacity and support the implementation of computer science (CS) education across K-12 classrooms. The initiative, launched in 2015, aimed to deliver high-quality CS education to all students by providing robust…

Despite consistent growth in computing-related fields, challenges persist in advancing racial equity--especially within doctoral programs. Minority-Serving Institutions (MSIs) increasingly offer graduate programs. Yet, MSIs are often overlooked in graduate student pathways to computing degrees and careers. Leveraging multiple methodological…

Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…

In this paper the "Memory Transfer Language" program visualization (MTL PV) technique is combined with "constructivism" ("conceptual contraposition and colloquy") and "reversibility" to evolve a new approach for instructional design for teaching and learning introductory programming. A sample of 1,364…

Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…

Computational thinking is becoming an essential skill in educational systems. There is, however, still a great deal to learn about it. This research aims to evaluate whether the inclusion of a specific material (Junior School Bebras Cards) favors the development of primary students' computational thinking skills. For this purpose, 37 fourth-grade…

"Self-regulated learning" (SRL) significantly impacts the process and outcome of "programming problem-solving." Studies on SRL behavioural patterns of programming students based on trace data are limited in number and lack of coverage. In this study, hence, the Hidden Markov Model (HMM) was employed to probabilistically mine…

Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…

Artificial intelligence (AI) literacy is critical to shaping students' academic experiences and future opportunities inhigher education. This study examines AI literacy among university students, examining variables such as gender, frequency of use of AI applications, completion of AI-related courses, and field of study. The research involved 664…