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Çinar, Murat; Tüzün, Hakan – Journal of Computer Assisted Learning, 2021
This study compares the effects of object-oriented and robot programming activities on programming achievement, abstraction, problem solving, and motivation. In the study, two consecutive experimental cases were conducted to examine the consistency of findings. The research sample comprises 81 tenth-grade students undergoing vocational secondary…
Descriptors: Vocational High Schools, High School Students, Grade 10, Robotics
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Quevedo Gutiérrez, Eduardo; Zapatera Llinares, Alberto – Education Sciences, 2021
The objective of this research is to study the "Scratch" programming language as a didactic tool to teach functions. The introduction of didactic tools allowing comprehension in simple and attractive ways is required. Given the traditional teaching/learning system, it is necessary to organize participatory and collaborative dynamic…
Descriptors: Mathematics Instruction, Teaching Methods, Programming Languages, Mathematical Concepts
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Solvang, Lorena; Haglund, Jesper – Physics Education, 2021
Recently, GeoGebra, a mathematics education software, has entered the scene of physics education; however, research on how the software can be used to support teaching and learning physics is limited and scattered. The aim of this article is to present a review of the current literature on how GeoGebra can be used to support physics education in…
Descriptors: Physics, Computer Software, Mathematics Instruction, Secondary School Students
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Cheng, Ya-Wen; Wang, Yuping; Yang, Yu-Fen; Yang, Zih-Kwan; Chen, Nian-Shing – Computer Assisted Language Learning, 2021
This study aims to design an authoring system of robots and IoT-based toys for creating a scenario-based interactive learning environment for young English as a Foreign Language learners. This study adopts a design-based research approach to investigate the pedagogical needs, the critical features and usability of such a authoring system. Twelve…
Descriptors: Robotics, Design, Toys, Teaching Methods
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Nitchot, Athitaya; Gilbert, Lester; Wettayaprasit, Wiphada – Education and Information Technologies, 2021
Information and Communication Technology (ICT) has been adopted in Thailand for learning and teaching within higher education, where ClassStart, Moodle, and Learn Square have been commonly used. In this research, a conceptual model of competence is proposed as a learner's capability with respect to subject matter, and based on this model a tool is…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Higher Education
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Unahalekhaka, Apittha; Bers, Marina Umaschi – Educational Technology Research and Development, 2021
With a growing number of ScratchJr usage, over 19 million users worldwide, we examined the use in the United States of the free ScratchJr programming language, explicitly designed for young children ages 5-7, to learn how to code. Our objective was to explore children's usage of the ScratchJr tablet app at home and school settings. We analyzed…
Descriptors: Coding, Programming, Educational Technology, Technology Uses in Education
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Rich, Peter J.; Larsen, Ross A.; Mason, Stacie L. – Journal of Research on Technology in Education, 2021
This study sought to identify factors that affect teachers' beliefs about teaching computing in their classrooms. By reviewing existing scales and research on computing, we created the Teacher Beliefs about Coding and Computational Thinking (TBaCCT) scale. Through confirmatory factor analysis and structural equation modeling we validated the scale…
Descriptors: Teacher Attitudes, Elementary School Teachers, Attitude Measures, Test Construction
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Balaton, Mariana; Cavadas, Jorge; Carvalho, Paulo Simeão; Lima, J. J. G. – Physics Education, 2021
Experimental teaching is essential for a good understanding of science, especially on Physics. Practical activities play an important role for engaging students with science, mainly when they interact directly with equipment, collect experimental data with computers and/or use interactive software for data analysis. In this work, we present the…
Descriptors: Science Instruction, Physics, Robotics, Programming
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Neutens, Tom; Barbion, Evelien; Coolsaet, Kris; wyffels, Francis – Journal of Computer Assisted Learning, 2021
In the last few years, programming, computational thinking, and robotics are more frequently integrated into elementary education. This integration can be done in many different ways. However, it is still unclear which teaching methods work in which situations. To provide some clarity in this area, we compared two methods of integrating…
Descriptors: Programming, Computer Science Education, Robotics, Thinking Skills
Chen Sun – ProQuest LLC, 2021
Computational thinking (CT) is an essential 21st century skill for people to succeed in the increasingly technological (and interconnected) world. Researchers have explored different interventions to teach students CT skills (e.g., Scratch and robotics), but digital game-based learning is relatively under-researched. A critical issue to address in…
Descriptors: Computation, Thinking Skills, Game Based Learning, Scaffolding (Teaching Technique)
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Velázquez-Iturbide, J. Ángel; Hernán-Losada, Isidoro; Paredes-Velasco, Maximiliano – IEEE Transactions on Education, 2017
An increase in student motivation is often cited as an expected effect of software visualization, but, as far as the authors are aware, no controlled experiments have yet demonstrated this. This paper therefore presents a controlled evaluation of this effect, conducted within the framework of self-determination theory. Students were tasked with…
Descriptors: Student Motivation, Computer Software, Incentives, Computer Science Education
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Yueh-Hui Vanessa Chiang; Maiga Chang; Nian-Shing Chen – Educational Technology & Society, 2024
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more…
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives
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Nathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education
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Xinogalos, Stelios – ACM Transactions on Computing Education, 2015
The Object-Oriented Programming (OOP) technique is nowadays the most popular programming technique among tertiary education institutions. However, learning OOP is a cognitively demanding task for undergraduate students. Several difficulties and misconceptions have been recorded in the literature for both OOP concepts and languages, mainly Java.…
Descriptors: Programming, Design, Undergraduate Students, Misconceptions
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Barrett, Michelle D.; van der Linden, Wim J. – Journal of Educational Measurement, 2017
Linking functions adjust for differences between identifiability restrictions used in different instances of the estimation of item response model parameters. These adjustments are necessary when results from those instances are to be compared. As linking functions are derived from estimated item response model parameters, parameter estimation…
Descriptors: Item Response Theory, Error of Measurement, Programming, Evaluation Methods
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