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Showing 1 to 15 of 22 results Save | Export
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
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Selena Steinberg; Melissa Gresalfi; Lauren Vogelstein; Corey Brady – Journal of Research on Technology in Education, 2024
This paper considers how a curricular design that integrated computer programming and creative movement shaped students' engagement with computing. We draw on data from a camp for middle schoolers, focusing on an activity in which students used the programming environment NetLogo to re-represent their physical choreography. We analyze the extent…
Descriptors: Dance, Programming, Computation, Computer Simulation
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Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
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Lin, Xiao-Fan; Wang, Jing; Chen, Yingshan; Zhou, Yue; Luo, Guoyu; Wang, Zhaoyang; Liang, Zhong-Mei; Hu, Xiaoyong; Li, Wenyi – Educational Technology & Society, 2023
Computational thinking (CT) is an imperative competency in the 21st century. Mindtools can assist students in understanding concepts and decomposing tasks during CT development through programming. However, students may encounter challenges in complex CT problem-solving tasks due to being confused when using mindtools without proper guidance.…
Descriptors: Reflection, Academic Achievement, Student Behavior, Computation
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Sanna Forsström; Melissa Bond – International Journal of Computer Science Education in Schools, 2024
Despite the widespread adoption of computational thinking (CT) across educational levels, challenges persist in its assessment due to diverse definitions, frameworks, and practical applications in classroom settings. This meta-synthesis investigates the assessment of computational thinking (CT) in primary and secondary education, synthesising…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Barriers
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Xin Gong; Weiqi Xu; Shufan Yu; Jingjing Ma; Ailing Qiao – British Journal of Educational Technology, 2025
Tangible programming tools have become a mainstream teaching aid in gamification programming learning (GPL) due to their interactivity and ability to enhance novice learners' computational thinking and spatial reasoning skills. However, comparing the relative efficacy of different programming tools that simultaneously support these skills was not…
Descriptors: Computation, Thinking Skills, Spatial Ability, Gamification
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Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
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Zhong, Baichang; Zheng, Jijun; Zhan, Zehui – Interactive Learning Environments, 2023
This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning,…
Descriptors: Robotics, Programming, Junior High School Students, Educational Technology
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Unal, Alper; Topu, Fatma Burcu – Education and Information Technologies, 2021
In this study, based on quasi-experimental research, was investigated the effects of teaching Python programming language via Blockly tool, which had hybrid interface, on students' computer programming anxiety, cognitive load level, and achievement. Participants were 90 high school students, 44 of them in experimental group (hybrid interface) and…
Descriptors: Instructional Effectiveness, Computer Science Education, Computer Interfaces, Programming Languages
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
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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Tsai, Meng-Jung; Liang, Jyh-Chong; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2021
Computational thinking has received tremendous attention from computer science educators and educational researchers in the last decade. However, most prior literature defines computational thinking as thinking outcomes rather than thinking processes. Based on Selby and Woodland's framework, this study developed and validated the Computational…
Descriptors: Computation, Thinking Skills, Skill Development, Technological Literacy
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Sparf, Maria – Designs for Learning, 2021
Within a theoretical framework grounded in design for learning, this article presents a research project about pupils' engagement during programming education. In a design-theoretical perspective, everyone who is somehow engaged in a learning process is a designer. The results show that how pupils design their learning when programming is related…
Descriptors: Learner Engagement, Programming, Computer Science Education, Foreign Countries
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Dahn, Maggie; DeLiema, David – Computer Science Education, 2020
Background and Context: Women are underrepresented in the field of computer science, a trend that in part can be traced to girls' early experiences with the discipline. Objective: Our aim is to show how three girls who became strong coders talked about their debugging practice at the intersection of problem solving, emotion, and identity. Method:…
Descriptors: Psychological Patterns, Problem Solving, Identification (Psychology), Females
Lee, Nancy – ProQuest LLC, 2013
The current study explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on students' test performance in the computer programming language JavaScript. Students' perceptions toward the two strategies as to their effectiveness in learning JavaScript was also explored by examining students'…
Descriptors: Programming Languages, Tests, Student Attitudes, Tutoring
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