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Xin Gong; Zhixia Li; Ailing Qiao – Education and Information Technologies, 2025
Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…
Descriptors: Artificial Intelligence, Technology Uses in Education, Dialogs (Language), Feedback (Response)
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Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
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Marianthi Grizioti – Educational Technology Research and Development, 2025
Recently scientists have underscored a significant mismatch between the latest theoretical Computational Thinking conceptualizations as an upcoming literacy that goes beyond computer science, and its operationalizations in current empirical research and designs, which are limited to coding-centred and domain-specific tools and approaches. To…
Descriptors: Computation, Thinking Skills, Coding, Play
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Eunhye Flavin; Moon Chung; Sunghwan Hwang; Matthew T. Flavin – Educational Technology Research and Development, 2025
Area measurement is a foundational component across STEM fields. The area formula offers limited insight for children trying to develop their area measurement reasoning skills, particularly when dealing with composite shapes. Spatial structuring, where children explore structural units of a 2D space, is an alternative approach. However, poor…
Descriptors: STEM Education, Geometric Concepts, Thinking Skills, Computer Simulation
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Hao-Jun Li; Qin-Ru Huang; Li-Peng Wen; Wei Chen; Zhuo-Zhuo Xu – SAGE Open, 2025
The programming curriculum is crucial in today's digital age, but a common issue is its focus on technical training while neglecting essential skills enhancement. Teachers lack structured and practical guidance on instructional methods, and the wide range of students' foundational abilities makes it difficult to cater to personalized learning…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Instructional Effectiveness
Childress, David – UNESCO International Institute for Educational Planning, 2023
As part of its project on instructional leaders at the middle tier, International Institute for Educational Planning (IIEP) and Education Development Trust (EDT) conducted case studies in five jurisdictions, exploring the professional practices and perceived impacts of instructional leaders and the enabling factors present in the systems in which…
Descriptors: Mentors, Faculty Development, Instructional Leadership, Middle Management
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Rachmatullah, Arif; Wiebe, Eric N. – Journal of Science Teacher Education, 2023
The inclusion of computational thinking (CT) into science curricula has advocated implementing a computationally rich science learning environment where students learn science via building models in a computer programming platform. Such an approach may influence teachers' self-efficacy for teaching science which may also be associated with their…
Descriptors: Middle School Teachers, Self Efficacy, Science Instruction, Educational Environment
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Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Chen, Jhen-Han; Chien, Yu-Hung; Chang, Chung-Pu; Chung, Guang-Han – Educational Technology Research and Development, 2023
Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…
Descriptors: Gamification, Models, High School Students, Programming
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Korhonen, Tiina; Salo, Laura; Laakso, Noora; Seitamaa, Aino; Sormunen, Kati; Kukkonen, Minna; Forsström, Heidi – Computer Science Education, 2023
Background and context: In 2016, programming was introduced as part of the revised National Core Curriculum for Basic Education in Finland. Over five years after implementation there has not been substantial increase in teacher or student competencies in programming. Objective: This study explored the perceptions, attitudes, and emotions of…
Descriptors: Foreign Countries, Educational Innovation, Teacher Attitudes, Elementary School Students
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Lai, Rina PY; Ellefson, Michelle R. – Journal of Educational Computing Research, 2023
Computational thinking (CT) is an emerging and multifaceted competence important to the computing era. However, despite the growing consensus that CT is a competence domain, its theoretical and empirical account remain scarce in the current literature. To address this issue, rigorous psychometric evaluation procedures were adopted to investigate…
Descriptors: Computation, Thinking Skills, Competence, Psychometrics
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Matere, Isaac M.; Weng, Cathy; Astatke, Melese; Hsia, Chih-Hsien; Fan, Chen-Guo – Interactive Learning Environments, 2023
Recently there has been a change in elementary curricula to focus on computational thinking, however, a good curriculum needs to be matched with good learning or teaching strategies. This study explores design-based learning (DBL) in elementary students to examine the development of computational thinking and to support knowledge construction in…
Descriptors: Design, Elementary School Students, Thinking Skills, Programming
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Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
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Gonzalez, Fernando – Education and Information Technologies, 2023
The study of robotics has become a popular course among many educational programs, especially as a technical elective. A significant part of this course involves having the students learn how to program the movement of a robotic arm by controlling the velocity of its individual joint motors, a topic referred to as joint programming. They must…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Simulation
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Kuo, Yu-Chen; Chang, Yen-Cheng – Education and Information Technologies, 2023
In recent years, flipped classroom has become a popular teaching method. Compared with the traditional teaching method, the flipped classroom gives learners and teachers more opportunities to discuss. However, the flipped classroom has also encountered some difficulties. If we do not consider the different learning conditions of each learner when…
Descriptors: Flipped Classroom, Barriers, Multimedia Instruction, Educational Technology
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Çakiroglu, Ünal; Kiliç, Servet – Interactive Learning Environments, 2023
Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…
Descriptors: Teachers, Pedagogical Content Knowledge, Computation, Thinking Skills
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