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Showing 1 to 15 of 22 results Save | Export
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Lutz Terfloth; Vivien Lohmer; Friederike Kern; Carsten Schulte – Informatics in Education, 2025
Transcripts play a crucial role in qualitative research in computing education, with significant implications for the credibility and reproducibility of findings. However, unreflective and inconsistent transcription standards may unintentionally introduce biases, potentially undermining the validity of research outcomes and the collective progress…
Descriptors: Phonetic Transcription, Computer Science Education, Educational Research, Credibility
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Lara Perez-Felkner; Kristen Erichsen; Yang Li; Jinjushang Chen; Shouping Hu; Ladanya Ramirez Surmeier; Chelsea Shore – Review of Educational Research, 2025
Although gender parity has been achieved in some STEM fields, gender disparities persist in computing, one of the fastest-growing and highest-earning career fields. In this systematic literature review, we expand upon academic momentum theory to categorize computing interventions intended to make computing environments more inclusive to girls and…
Descriptors: Computer Science Education, Gender Differences, Equal Education, Research Reports
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Deise Monquelate Arndt; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2025
Critical thinking is a fundamental skill for 21st-century citizens, and it should be promoted from elementary school and developed in computing education. However, assessing the development of critical thinking in educational contexts presents unique challenges. In this study, a systematic mapping was carried out to investigate how to assess the…
Descriptors: Critical Thinking, Elementary Secondary Education, Computer Science Education, 21st Century Skills
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Jonathan Liu; Seth Poulsen; Erica Goodwin; Hongxuan Chen; Grace Williams; Yael Gertner; Diana Franklin – ACM Transactions on Computing Education, 2025
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…
Descriptors: Teaching Methods, Algorithms, Design, Computer Science Education
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Minji Yun; Kent J. Crippen – Journal of Science Teacher Education, 2025
Computational Thinking (CT) has emerged as a fundamental aspect of modern science education, especially within pre-service teacher education. This study examines the current landscape of CT integration in pre-service science teacher education, drawing insights from an analysis of 18 empirical studies conducted since the implementation of the Next…
Descriptors: Computer Science Education, Teacher Education Programs, Science Education, Preservice Teacher Education
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Yukun Xu; Hui Li – IEEE Transactions on Learning Technologies, 2025
Primary school students, despite their vulnerability to cyberattacks, lack targeted cybersecurity education. Using Scopus and Google Scholar, this scoping review analyzed 15 articles (2014-2024) following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews guidelines to examine the landscape of…
Descriptors: Elementary School Students, Computer Security, Educational Trends, Computer Science Education
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Hongliang Ma; Yuhan Dong; Bin Jing; Yu Zeng; Jinmei Sun – International Journal of STEM Education, 2025
Background: With the growing emphasis on computer science (CS) education in K-12 schools, numerous professional development (PD) programs for in-service CS teachers (CS-PD) have been implemented over the past decades. However, there is a lack of systematic review and meta-analysis to evaluate the effectiveness of these CS-PD programs. To address…
Descriptors: Inservice Teacher Education, Faculty Development, Elementary Secondary Education, Computer Science Education
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Ndudi Okechukwu Ezeamuzie; Mercy Noyenim Ezeamuzie – Review of Educational Research, 2025
Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Science Education, Programming
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Demetrios Sampson; Panagiotis Kampylis; Jesús Moreno-León; Stefania Bocconi – Smart Learning Environments, 2025
This paper explores the evolving landscape of informatics education in European primary and secondary schools, analysing academic and grey literature to define the state of play and open questions related to 'high-quality informatics education'. It underlines the strategic importance of promoting high-quality informatics education to prepare…
Descriptors: Foreign Countries, Elementary Secondary Education, Computer Science, Computer Science Education
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Mohamad Zuber Abd Majid; Muhammad Helmi Norman; Mohammad Hafiz Zaini; Hutkemri Zulnaidi; Mohd Khalid Mohamad Nasir – SAGE Open, 2025
This systematic review to identify the distribution of articles from two databases using the science mapping method, and to investigate the preparedness of educators for the development of digital education in economics. The descriptive analysis is used to identify the research trends globally on the development of digital education in the scope…
Descriptors: Electronic Learning, Educational Innovation, Economics, Economics Education
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Lauren Weisberg; Joanne Barrett; Maya Israel; Don Miller – Computer Science Education, 2025
Background and Context: Although computing is a highly sought-after skill set in our modern economy, certain individuals are under represented in computer science (CS) courses and careers. The integration of visual and performing arts in K-12 CS education has been gaining "STEAM" as a viable strategy for making computing more inclusive.…
Descriptors: STEM Education, Art Education, Elementary Secondary Education, Computer Science Education
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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
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Kaiyue Jia; Teresa H. M. Leung; Ngai Yan Irene Cheung; Yixun Li; Junnan Yu – ACM Transactions on Computing Education, 2025
The increasing prevalence of AI in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children's AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for…
Descriptors: Computer Science Education, Digital Literacy, Artificial Intelligence, Children
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Theodosios Sapounidis; Sophia Rapti; Julie Vaiopoulou – Journal of Science Education and Technology, 2025
Communication, collaboration, critical thinking, and creativity are regarded as core skills of the twenty-first century required to succeed in life and working frameworks. Meanwhile, new technologies have entered educational settings to facilitate children's development of competencies. During the last decade, several studies have been conducted…
Descriptors: Robotics, Creative Thinking, Critical Thinking, Kindergarten
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Karen Woo; Garry Falloon – Computer Science Education, 2025
Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…
Descriptors: Coding, Computer Science Education, Curriculum Development, Thinking Skills
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