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Tom Harrison; Gianfranco Polizzi; Shane McLoughlin; Francisco Moller – Education and Information Technologies, 2024
Cyber-wisdom is the ability to know and do the right thing at the right time, when using digital technologies, and is a concept that is gaining attention from educators. Whilst the theory and practice of cyber-wisdom education is established, to date there has been no attempt to investigate how the virtue of cyber-wisdom might be measured. This is…
Descriptors: Computer Literacy, Citizenship Education, Measurement, Computer Science Education
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Dailin Zheng; Yu Chen; Leslie J. Albert – Journal of Information Systems Education, 2025
Employers increasingly prioritize candidates who can solve real-world Structured Query Language (SQL) problems, particularly during technical interviews. However, many undergraduate students feel underprepared for these interviews because they have not engaged in the deep learning needed to apply SQL concepts confidently. Additionally, students…
Descriptors: Undergraduate Students, Simulation, Employment Interviews, Computer Literacy
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Catalina Cortázar; Iñaki Goñi; Andrea Ortiz; Miguel Nussbaum – ACM Transactions on Computing Education, 2024
Integrating graduate education with professional skills development is still a challenge. People's beliefs about learning impact their learning processes. Therefore, we need to understand the mindset of graduates to determine best practices for promoting professional skills development. In this study, we explore the perspective of computing…
Descriptors: Computer Science Education, Graduate Students, Computer Literacy, Job Skills
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Bogdan Simion; Lisa Zhang; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil – ACM Transactions on Computing Education, 2025
Although ample research has focused on computing skill development over a single course or specific programming language, relatively little attention is paid to how computing skills evolve across a program. Our work aims to understand how specific skills develop throughout a progression of CS courses. We use qualitative content analysis to catalog…
Descriptors: Skill Development, Computer Science Education, Computer Literacy, Prerequisites
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Hui-Zhi Hu; Li-Guo Zhang; Jia-Hua Zhang; Di Zhang; Jia-Rui Xie – Education and Information Technologies, 2025
Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…
Descriptors: Evaluation Methods, Student Evaluation, Competence, Computer Literacy
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Wei Wei; BinBin Zhu; Ning Ding – Education and Information Technologies, 2025
The promotion and implementation of programming education in primary and secondary schools in the intelligent era are associated with high-quality information technology (IT) teachers who possess programming literacy. IT teachers' programming literacy requires a scientific and reasonable index system for quantitative evaluation. On the basis of…
Descriptors: Information Technology, Computer Science Education, Programming, Computer Literacy
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Carmen Flury; Michael Geiss – Paedagogica Historica: International Journal of the History of Education, 2025
This article examines the historical contribution of the German Informatics Society (GI) to the establishment of computer education in German schools. It highlights the role of societal interests, international developments, public and professional debates, and technological change in the GI's educational policy recommendations. The historical…
Descriptors: Computer Science Education, Educational History, Educational Policy, Foreign Countries
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Serap Çimsir; Filiz Kalelioglu; Yasemin Gülbahar – Informatics in Education, 2024
This study aims to examine the impact of interdisciplinary computational thinking (CT) skills training on primary school teachers' perceptions of CT skills. The sample of the study consisted of 30 primary school teachers in Istanbul. In this study, where quantitative and qualitative methods were used together, qualitative data were obtained from…
Descriptors: Teacher Attitudes, Computer Science Education, Interdisciplinary Approach, Thinking Skills
Ersoy, Halil; Ülgen, Mert – Online Submission, 2023
Even though the main purpose of Computer Education and Instructional Technology (CEIT) department is to educate and train computer teachers for K12 level schools in Turkey, the graduates from the department have diverse competencies in different fields like instructional designer, content creator, software developer, etc. However, neither the…
Descriptors: Foreign Countries, Computer Science Education, Educational Technology, College Graduates
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Nattaphol Thanachawengsakul; Ittipaat Suwathanpornkul; Orn-uma Charoensuk – International Education Studies, 2024
The purpose of this research was to analyze the confirmatory components of the computational thinking learning competency measurement model. The sample group consisted of 240 students in the Bachelor of Education Program in Computer and Digital Technology for Education in Years 2-4 of five of the Rattanakosin Rajabhat Universities. Data collection…
Descriptors: Factor Analysis, Undergraduate Students, Thinking Skills, Computer Science Education
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Yin-Chan Liao; G. Sue Kasun; Nozipho Moyo – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined the impact of a U.S. federal teacher professional learning (PL) Fulbright program on computational literacy and artificial intelligence (AI) education for K-12 teachers (n = 21) from resource-constrained countries. Occurring shortly after the rise of generative AI in November 2023, the program may have further accentuated AI's…
Descriptors: Artificial Intelligence, Computer Literacy, Computer Science Education, Teacher Attitudes
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Arif Ainur Rafiq; Mochamad Bruri Triyono; Istanto Wahyu Djatmiko; Ratna Wardani; Thomas Köhler – Informatics in Education, 2023
In today's world, the ability to think computationally is essential. The skillset expected of a computer scientist is no longer solely based on the old stereotype but also a crucial skill for adapting to the future. This perspective presents a new educational challenge for society. Everyone must have a positive attitude toward understanding and…
Descriptors: Computation, Thinking Skills, Bibliometrics, Computer Science
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Jessica Brown; Jacqueline DeLisi; Lukas Winfield; Makoto Hanita; Anne Wang – Grantee Submission, 2025
The EIR-funded Work-Based Learning for Computer Science (WBL4CS) grant implemented a three-course, two-year Computer Science (CS) pathway in 20 Rhode Island High Schools. Evaluators from Education Development Center (EDC) employed a cluster randomized controlled trial to study the impact of integrating a Work-Based Learning course into the first…
Descriptors: Work Based Learning, Computer Science Education, High School Students, Career Pathways
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Ruta Pirta-Dreimane; Agne Brilingaite; Evita Roponena; Karen Parish; Janis Grabis; Ricardo Gregorio Lugo; Martinš Bonders – Technology, Knowledge and Learning, 2025
Incorporating gamification elements and innovative approaches in training programs are promising for addressing cybersecurity knowledge gaps. Cybersecurity education should combine hard and soft skill development when building the capacity to manage cyber incidents requiring timely communication, team collaboration, and self-efficacy in risk…
Descriptors: Computer Security, Computer Science Education, Educational Games, Gamification
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Dan Sun; Fan Ouyang; Yan Li; Chengcong Zhu; Yang Zhou – Journal of Computer Assisted Learning, 2024
Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…
Descriptors: Computer Science Education, Programming, Computer Literacy, Comparative Analysis
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