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Yong-Woon Choi; In-gyu Go; Yeong-Jae Gil – International Journal of Technology and Design Education, 2024
The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The…
Descriptors: Thinking Skills, Mental Computation, Gifted, Correlation
Jiangyue Liu; Siran Li – Journal of Educational Computing Research, 2024
Pair Programming is considered an effective approach to programming education, but the synchronous collaboration of two programmers involves complex coordination, making this method difficult to be widely adopted in educational settings. Artificial Intelligence (AI) code-generation tools have outstanding capabilities in program generation and…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Coding
Monika Mladenovic; Žana Žanko; Goran Zaharija – Journal of Educational Computing Research, 2024
The use of a pedagogical approach mediated transfer with the bridging method has been successful in facilitating the transitions from block-based to text-based programming languages. Nevertheless, there is a lack of research addressing the impact of this transfer on programming misconceptions during the transition. The way programming concepts are…
Descriptors: Programming, Misconceptions, Teaching Methods, Computer Science Education
Hussein Sabra; Theresia Tabchi – ZDM: Mathematics Education, 2024
This contribution explores the teaching of graph theory in the context of engineering education. We examine how teachers use collectively designed resources in terms of their backgrounds. After a literature review, we justify the choice to develop an analytical framework for studying the materials in terms of connections to be established in the…
Descriptors: Foreign Countries, Graphs, Engineering Education, Computer Science
Sibley F. Lyndgaard; Corey E. Tatel; Victoria Pham; Julia E. Melkers; Ruth Kanfer – International Journal of Lifelong Education, 2024
For adults engaged in formal learning, self-efficacy judgements may have substantial impact on key learning attitudes and outcomes. A complex systems/person-centric perspective emphasises the importance of contextual features of adult life, yet extant study of self-efficacy is largely constrained to judgements of competence in course activities.…
Descriptors: Self Efficacy, Adults, Masters Programs, Graduate Students
Transfer of Responsibility from Scaffolding to Preservice Early Childhood Teachers Learning to Debug
Brian R. Belland; ChanMin Kim; Emre Dinç; Anna Y. Zhang – Educational Technology Research and Development, 2024
Computer science is often integrated within early childhood education (ECE) through the use of educational robots. This requires adequate preparation of ECE teachers to program and debug, which can be done with scaffolding. In this paper, we use a QUANT + qual mixed method approach incorporating lag sequential analysis, ICAP framework coding,…
Descriptors: Scaffolding (Teaching Technique), Early Childhood Teachers, Preservice Teachers, Computer Science Education
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Lijun Ni; Yan Tian; Tom McKlin; Jake Baskin – Computer Science Education, 2024
Background & Context: Continuously developing teachers' knowledge, practice, and professional identity is one of the key standards for effective computer science (CS) teachers. Objective: This study aims to understand the landscape of CS teachers in the United States, the professional identity they hold, and how their background and teaching…
Descriptors: Computer Science Education, Professional Identity, Teacher Background, Profiles
Yucnary-Daitiana Torres-Torres; Marcos Román-González; Juan-Carlos Perez-Gonzalez – European Journal of Education, 2024
Computational Thinking (CT) is crucial for the advancement of the STEM field, where there continues to be a lack of female representation. Teaching and learning (T/L) of CT should incorporate didactic strategies that aim to eliminate gender biases and integrate girls/women into this context. In response to the question, "What didactic…
Descriptors: Thinking Skills, Gender Differences, Females, Disproportionate Representation
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
Michael Schneider – ProQuest LLC, 2024
Electronic textiles (e-textiles) weave computational and electronic components into fabric, enabling students to design and build fabric-based projects that interact with their surroundings. This meshing of physical hardware and virtual software can be difficult for students to untangle when debugging. Is an LED failing to light up because of an…
Descriptors: Troubleshooting, Computer Science Education, Computation, Secondary School Students
Robert Chapa – ProQuest LLC, 2024
While the cybersecurity landscape continually evolves, with new technologies, attack vectors, and defense mechanisms emerging regularly, cybersecurity certificate programs remain challenged to stay current and relevant, often resulting in the delivery of outdated course content in existing programs. Scholars note that the absence of standardized…
Descriptors: Program Development, Computer Security, Electronic Learning, Certification
Nicolai Plintz; Dirk Ifenthaler – International Association for Development of the Information Society, 2024
This study aims to develop a preliminary model for the content validation of serious games, specifically to assess two cybersecurity games designed for children aged 8-13 years as part of the Erasmus+ project "SuperCyberKids". Using a scoping review of databases from pedagogy, psychology, and computer science, we identified current…
Descriptors: Computer Security, Educational Games, Computer Uses in Education, Game Based Learning
Sara Beth Frey – ProQuest LLC, 2024
Research has shown that inequitable participation in computer science education is an occupational injustice for students with disabilities, as it is an unfair and inequitable distribution of occupational opportunities. There is limited information regarding how schools' capacity for and access to computer science education relates to the…
Descriptors: Computer Science Education, Student Participation, Students with Disabilities, Disproportionate Representation
Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools

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