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Campbell, Oladele O.; Atagana, Harrison I. – Online Submission, 2022
An engaging first programming class (CS1) often inspires students' passion for computer science (CS). However, the evidence in the literature suggests that the average CS1 classes are anything but engaging for many students. The performance of CS compared to other science, technology, engineering, and mathematics (STEM) courses in international…
Descriptors: Programming, Programming Languages, Computer Science Education, Learner Engagement
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Laurent Cervoni; Julien Brasseur – International Association for Development of the Information Society, 2022
A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Programming Languages
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Abdalla Elkheir Elgobshawi – Eurasian Journal of Applied Linguistics, 2022
The study assessed learners' preferences and attitudes towards translated and Arabized computer terminology. It addressed the obstacles of Arabic scientific terminology and how these obstacles affected learners. For its instrumentation, it used two research tools to collect the data. The first tool was a test that rated learners' preferences for…
Descriptors: Arabic, Translation, Vocabulary, Barriers
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Andrej Jerman Blažic; Borka Jerman Blažic – Education and Information Technologies, 2025
This paper presents a new developed methodology for teaching and learning subjects that although are very important in the modern digital society are neglected in high school education programs: cybersecurity and cyber safety. A Study among the EU high schools in 2021-2022 revealed that computer science teachers are not regularly upgrading their…
Descriptors: Computer Security, Technology Education, Computer Science Education, Electronic Learning
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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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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
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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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Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
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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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Jean Salac; Lena Armstrong; F. Megumi Kivuva; Jayne Everson; Amy J. Ko – ACM Transactions on Computing Education, 2025
Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…
Descriptors: Critical Theory, Computer Science Education, Summer Programs, Secondary School Students
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Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
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David W. Jackson; Helen Zhang; Fahd Abdus-Sabur – TechTrends: Linking Research and Practice to Improve Learning, 2025
During young adolescence, many youth develop strong identities in relation to science, technology, engineering and mathematics with computing (STEM + C). One way to design for student engagement in STEM + C is to create project-based units that leverage students' interests. We created one such unit, called the "smart greenhouse project".…
Descriptors: Instructional Design, Computer Uses in Education, STEM Education, Student Projects
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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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Paul Mayer; Rich Baraniuk – ACM Transactions on Computing Education, 2025
It is argued that logic, and in particular mathematical logic, should play a key role in the undergraduate curriculum for students in the computing fields, which include electrical engineering (EE), computer engineering (CE), and computer science (CS). This is based on (1) the history of the field of computing and its close ties with logic, (2)…
Descriptors: Teaching Methods, Logical Thinking, Computer Science Education, Engineering Education
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