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Yesengazyevna, Sagimbayeva Ainur; Niyetbayeva, Nadira; Tassuov, Bolat; Kalima, Tuyenbayeva; Bekbulatovna, Arystanova Assel – Cypriot Journal of Educational Sciences, 2022
The purpose of this research is to get students' opinions on teaching programming to students with the help of educational games in the conditions of additional education in computer science. In order to carry out the study in accordance with the main purpose, the phenomenological approach, one of the qualitative research methods, was used. The…
Descriptors: Computer Science Education, Educational Games, College Students, Student Attitudes
Xinli Zhang; Yuchen Chen; Danqing Li; Lailin Hu; Gwo-Jen Hwang; Yun-Fang Tu – Journal of Educational Computing Research, 2024
Robotics education has received widespread attention in K-12 education. Studies have pointed out that in robotics courses, learners face challenges in learning abstract content, such as constructing a robot with a good structure and writing programs to drive a robot to complete specific learning tasks. The present study proposed the embodied…
Descriptors: Robotics, Teaching Methods, Academic Achievement, Student Motivation
Huiyan Ye; Oi-Lam Ng; Zhihao Cui – Journal of Educational Computing Research, 2024
Computational thinking (CT) has received much attention in mathematics education in recent years, and researchers have begun to experiment with the integration of CT into mathematics education to promote students' CT and mathematical thinking (MT) development. However, there is a lack of empirical evidence and new theoretical perspectives on the…
Descriptors: Programming, Thinking Skills, Mathematics Skills, Mathematical Logic
Adam Diamant – INFORMS Transactions on Education, 2024
Managers are increasingly being tasked with overseeing data-driven projects that incorporate prescriptive and predictive models. Furthermore, basic knowledge of the data analytics pipeline is a fundamental requirement in many modern organizations. Given the central importance of analytics in today's business environment, there is a growing demand…
Descriptors: Business Administration Education, Graduate Students, Prediction, Mathematical Concepts
Hatice Yildiz Durak – Education and Information Technologies, 2024
Examining middle school students' computational identity development, personal, situational variables and programming experiences through the lens of identity may offer an opportunity to explore the dynamic relationship between individual, academic and social influences in computer science and CI. The aim of this study is to examine the variables…
Descriptors: Middle School Students, Computation, Thinking Skills, Self Concept
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
Chotika Wanglang; Kobkiat Sraubon; Pallop Piriyasurawong – Higher Education Studies, 2024
This research aims to develop a combining game-based learning with design thinking using block-based programming to enhance computational thinking and creative games for primary students and will be referred to as game-based learning from now on. The purpose of this research is to 1) develop a model for game-based learning, 2) develop the system…
Descriptors: Game Based Learning, Design, Thinking Skills, Programming
Schumann, Claudia – Studies in Philosophy and Education, 2021
The paper explores the portrayal of social relations among youth in the popular Norwegian TV-series "Skam" and places this analysis in relation to Anne Imhof's award-winning performance piece "Faust," which received the Golden Lion at the 2017 Venice Biennale for the German Pavilion. As expressions of how today's youth…
Descriptors: Programming (Broadcast), Interpersonal Relationship, Youth, Foreign Countries
Hao-Chiang Koong Lin; Chun-Hsiung Tseng; Nian-Shing Chen – Educational Technology & Society, 2025
In recent years, learning programming has been a challenge for both learners and educators. How to enhance student engagement and learning outcomes has been a significant concern for researchers. This study examines the effects of AI-based pedagogical agents on students' learning experiences in programming courses, focusing on web game development…
Descriptors: Programming, Learner Engagement, Self Efficacy, Artificial Intelligence
Fadip Audu Nannim; Nnenna Ekpereka Ibezim; George Chibuike Agbo; Chukwuma Mgboji; Saint Oliver Rotachukwu Ngwoke; Moeketsi Mosia – ACM Transactions on Computing Education, 2025
The integration of digital technology into various sectors has transformed education globally, yet its adoption in Nigeria remains constrained by a lack of adequately trained personnel. This study addresses this gap by developing a Project-Based Arduino Robot Application (PARA) for teaching Robotics Programming to preservice teachers. A Research…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Programming
Victor-Alexandru Padurean; Tung Phung; Nachiket Kotalwar; Michael Liut; Juho Leinonen; Paul Denny; Adish Singla – International Educational Data Mining Society, 2025
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…
Descriptors: Automation, Student Writing Models, Feedback (Response), Programming
Podworny, Susanne; Hüsing, Sven; Schulte, Carsten – Statistics Education Research Journal, 2022
Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…
Descriptors: Statistics Education, Programming, Programming Languages, Data Analysis
Price, Colin B.; Price-Mohr, Ruth – Education 3-13, 2023
This study investigates computer programming ('coding') activities of Primary School Children; we ask if there is evidence of gender differences in their coding activities. The research took place in an English urban school with around 180 children on role, mostly from a middle-class social background. The study involved a class of 17 boys and 15…
Descriptors: Gender Differences, Elementary School Students, Programming, Urban Schools
Maruyama, Yukiko – International Association for Development of the Information Society, 2020
To investigate the effects previous experience on the impressions of parents regarding computer programming, a survey was carried out before and after parent-children workshops were conducted. The results of the survey showed that the impressions of the participants regarding computer programming after the workshops became more positive than…
Descriptors: Elementary School Students, Parents, Workshops, Programming
Ainsley Miller; Kate Pyper – Journal of Statistics and Data Science Education, 2024
R is becoming the standard for teaching statistics due to its flexibility, and open-source nature, replacing software programs like Minitab and SPSS. The main driver for reform within Scottish statistical undergraduate programs is the creation of the Scottish Qualification Authority's Higher Applications of Mathematics course which has statistics…
Descriptors: College Freshmen, Undergraduate Study, Anxiety, Programming Languages

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