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Clara Puni-Nyamesem; Candi Clevinger – Dimensions of Early Childhood, 2025
As technology becomes more important in our daily lives, teaching computer science in schools is becoming a priority. In 2022, the Tennessee General Assembly passed PC 979, a law requiring all public and charter schools to teach computer science at every grade level including kindergarten classrooms (Tennessee Department of Education, 2024). While…
Descriptors: Early Childhood Education, Computer Use, Technology Integration, Computer Science Education
Robin Samuelsson – British Journal of Educational Technology, 2025
Programming is becoming a key subject in early education globally, with surging problems of how computer science can become a subject for children of all ages and backgrounds. Problems of implementing new technologies in the old curricula have long been noted, and lately, concern over computer science education goals is often too narrow and…
Descriptors: Computer Science Education, Play, Early Childhood Education, Technology Integration
Lukas Höper; Carsten Schulte – Informatics in Education, 2024
In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…
Descriptors: Student Empowerment, Data Use, Computer Science Education, Artificial Intelligence
A Comparison of Generative AI Solutions and Textbook Solutions in an Introductory Programming Course
Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
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…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
Alan Gazzano – Arts Education Policy Review, 2024
This study examines the underpinnings of Japan's "programming education" in elementary school music, officially implemented nationwide in 2020. Through that reform, which has introduced "programming thinking" (a local version of computational thinking) in all areas of compulsory education, the country follows the international…
Descriptors: Foreign Countries, Computer Science Education, Programming, Music Education
Kofi Ayebi-Arthur; Kwaku Anhwere Barfi; Valentina Arkorful; Theophilus Ocran; Nyinaku Odoi Baffour – Education and Information Technologies, 2024
Higher institutions are increasingly embracing the use of computer technologies in advancing education. Despite evidence pointing to the positive impact of computer technologies on teaching and learning, systematic research study on the role of teachers' competencies in computer technologies integration is still not saturated in literature.…
Descriptors: Computer Uses in Education, Computer Science Education, Teaching Methods, Higher Education
Pohl, Margit; Potzmann, Benjamin; Stoiber, Christina; Aigner, Wolfgang – International Association for Development of the Information Society, 2023
Visualizations have become more complex in recent years so that users need to learn how to use these systems. Onboarding systems can help users to learn how to interact with a visualization efficiently. Simple tutorials are often not sufficient. There are still open questions on how to design such onboarding systems. So far, a few usability…
Descriptors: Visualization, Visual Aids, Teaching Methods, Active Learning
Xieling Chen; Haoran Xie; S. Joe Qin; Fu Lee Wang; Yinan Hou – European Journal of Education, 2025
Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…
Descriptors: Artificial Intelligence, Learner Engagement, Technology Uses in Education, Electronic Learning
Siran Li; Jiangyue Liu; Qianyan Dong – Australasian Journal of Educational Technology, 2025
Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Programming
Gustavo Gutierrez Carreon – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The need for this paper arises from the lack of comprehensive studies comparing the impact of cloud-based versus local database systems on student learning outcomes. Specifically, there is a need to understand how these different approaches affect usability and cognitive load in educational settings, which are critical factors for…
Descriptors: Cognitive Processes, Difficulty Level, Information Storage, Information Technology
Nisar Ahmed Dahri; Noraffandy Yahaya; Muhammad Saleem Vighio – Education and Information Technologies, 2025
This study examines the effects of interactive and collaborative digital training applications on teachers' academic performance, utilizing the Technology Acceptance Model and collaborative learning theories. A total of 219 government school computer teachers participated in an online training program through Microsoft Teams, employing a…
Descriptors: Computer Science Education, Faculty Development, Online Courses, Training
Jonatan Castaño-Muñoz; Celia Moreno-Morilla; Manuel Reina-Parrado; Isabel Lopez-Cobo – Education and Information Technologies, 2025
This study explores the perceptions, experiences and challenges of schools located in disadvantaged areas regarding the integration of digital technologies in their functioning. Through eight case studies, in which principals, teachers and students were involved, we identified the main challenges that these schools face every day, which were…
Descriptors: Inclusion, Computer Science Education, Low Income Students, Disadvantaged Schools
Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Education and Information Technologies, 2024
Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…
Descriptors: Computer Science Education, Technological Literacy, Pedagogical Content Knowledge, Elementary School Students

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