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Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior
Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages
Moresi, Marco; Gomez, Marcos J.; Benotti, Luciana – IEEE Transactions on Learning Technologies, 2021
Based on hundreds of thousands of hours of data about how students learn in massive open online courses, educational machine learning promises to help students who are learning to code. However, in most classrooms, students and assignments do not have enough historical data for feeding these data hungry algorithms. Previous work on predicting…
Descriptors: Prediction, Difficulty Level, Programming, Online Courses
Wang, Jianlan; Zhang, Yuanlin; Jones, Arthur; Eckel, Rory; Hawkins, Joshua; Musslewhite, Darrel – Journal of Computers in Mathematics and Science Teaching, 2022
Despite the importance of computer science education and computational thinking, there have been limited examples of computer science education at K-12 classrooms that authentically represents the work of computer scientists, especially programming. One reason is the lack of a measurable definition of computational thinking and a programming…
Descriptors: Teaching Methods, Computer Science Education, Programming, Thinking Skills
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
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
Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
Basil Hanafi; Mohammad Ali; Devyaani Singh – Discover Education, 2025
Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. This is a novel approach, applying quantum algorithms to enhance educational technologies, with no previous studies addressing the integration of quantum computing for personalized…
Descriptors: Educational Technology, Computer Security, Ethics, Algorithms
Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
Lung-Chun Chang; Cheng-Chi Yeh; Hon-Ren Lin – Education and Information Technologies, 2025
The COVID-19 pandemic and advances in technology have resulted in the emergence of online learning as a new trend in the educational sector. However, during online learning, if students cannot seek immediate assistance from teachers, the use of suitable teaching models and easy-to-understand teaching materials is crucial. To address problems…
Descriptors: Programming, Human Body, Recognition (Psychology), Visual Perception
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
Zhang, Yingbin; Paquette, Luc; Pinto, Juan D.; Liu, Qianhui; Fan, Aysa Xuemo – Education and Information Technologies, 2023
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…
Descriptors: Undergraduate Students, Programming, Novices, Troubleshooting
Djelil, Fahima; Sanchez, Eric – Education and Information Technologies, 2023
Game based-learning have been widely promoted to overcome the difficulties encountered by beginners to learn programming. However, there are many issues to address for the implementation of game-based learning. Indeed, game-based learning is not limited to adding game elements such as rewards to a learning situation, but it rather consists of…
Descriptors: Game Based Learning, Educational Games, Design, Programming
Cheng, Li; Wang, Xiaoman; Ritzhaupt, Albert D. – Journal of Educational Computing Research, 2023
Computational thinking is believed to be beneficial for Science, Technology, Engineering, and Mathematics (STEM) learning as it is closely related to many other skills required by STEM disciplines. There has been an increasing interest in integrating computational thinking into STEM and many studies have been conducted to examine the effects of…
Descriptors: Elementary Secondary Education, STEM Education, Computation, Thinking Skills

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