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Kevin Sigayret; Nathalie Blanc; André Tricot – Journal of Computer Assisted Learning, 2025
Background: Teaching programming and computational thinking is becoming a major issue in many education systems. Numerous approaches are possible, but very few studies compare these different ways of implementing programming and computational thinking learning. Objectives: We compared three ways of teaching programming and computational thinking…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Computation
Dag, Funda; Sumuer, Evren; Durdu, Levent – Journal of Computer Assisted Learning, 2023
Background: Today, computational thinking (CT), which is considered to be a form of literacy, has taken its place in the ICT curriculum of many countries at the K-12 level. Therefore, there is a need for more evidence with regards to a theoretical and practical understanding of CT skills' development of K-12 students. Objectives: The purpose of…
Descriptors: Computation, Thinking Skills, Elementary School Students, Student Improvement
Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
Pellas, Nikolaos – Journal of Computer Assisted Learning, 2023
Background: Owing to the exponential growth of three-dimensional (3D) environments amongst researchers and educators to create simulation games (SGs) in primary education, there is a growing interest to examine their potential support in computer science courses instead of visual programming environments. Objectives: This study explores the…
Descriptors: Computation, Thinking Skills, Programming, Skill Development
Potocki, Anna; Chailleux, Mathilde; Gimenes, Manuel; Pylouster, Jean – Journal of Computer Assisted Learning, 2021
Many studies have demonstrated the crucial role of vocabulary in predicting reading performance in general. More recent work has indicated that one particular facet of vocabulary (its depth) is more closely related to language comprehension, especially inferential comprehension. On this basis, we developed a training application to specifically…
Descriptors: Computer Oriented Programs, Vocabulary Development, Reading Comprehension, Handheld Devices
Wang, Tzu-Ling; Tseng, Yi-Kuan – Journal of Computer Assisted Learning, 2020
The purpose of this study was to investigate not only the effectiveness of dynamic versus static visualizations on learning star motions but also the influence of students' spatial abilities with these two types of visualizations on their learning. We assigned 155 fifth-grade students to either a dynamic or a static condition. We used a science…
Descriptors: Teaching Methods, Computer Assisted Instruction, Spatial Ability, Science Achievement
Gruhn, Sophie; Segers, Eliane; Verhoeven, Ludo – Journal of Computer Assisted Learning, 2020
We investigated pictorial versus contextual support effects over and above teaching of definitions on children's word learning and retention as well as the moderating role of reading comprehension. In a between-subject pre-post-retention test control group design, Dutch fourth graders learned concrete and abstract Dutch words. The context group…
Descriptors: Reading Comprehension, Elementary School Students, Grade 4, Vocabulary Development

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