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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing
Sophie Gruhn; Eliane Segers; Jos Keuning; Ludo Verhoeven – Journal of Computer Assisted Learning, 2024
Background: Reading comprehension is an interactive process. Yet, instructional needs are usually identified with isolated componential tests. This study examined whether a dynamic approach, in which componential abilities are measured within the same text and global text comprehension is facilitated via feedback, can help in understanding…
Descriptors: Elementary School Students, Reading Comprehension, Feedback (Response), Reading Tests
Xiao-Feng Wang; Jue-Qi Guan; Jing-Wen Xu; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: Group work plays a significant role in facilitating creative tasks and fostering student creativity, much like collaborative painting is an effective strategy for enhancing team creativity. Successful group work necessitates the establishment of efficient socially shared regulation (SSR). However, in current face-to-face learning…
Descriptors: Self Management, Sharing Behavior, Performance, Creativity
Teng, Mark Feng – Journal of Computer Assisted Learning, 2023
Background: Despite the potential of captioned videos, limited attention has been paid to the role of vocabulary knowledge (VK) and working memory (WM) in incidental vocabulary learning under different captioning conditions. Objectives: The present study aimed to bridge this gap by assessing VK and WM in incidental vocabulary learning under…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Development, Video Technology
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
Özlem Altindag Kumas; Senay Delimehmet Dada; Halime Miray Sümer Dodur – Journal of Computer Assisted Learning, 2025
Background: Phonological awareness is the ability to identify and manipulate the sounds of language. This is a crucial skill for reading and spelling development. However, students with intellectual disabilities (ID) often have difficulties in acquiring phonological awareness skills. Objectives: This study aimed to assess the impact of a digital…
Descriptors: Phonological Awareness, Students with Disabilities, Game Based Learning, Video Games
Janina Heb; Panagiotis Karageorgos; Bettina Müller; Anna Riedmann; Philipp Schaper; Birgit Lugrin; Tobias Richter – Journal of Computer Assisted Learning, 2024
Background: Children with low reading skills are less frequently engaged in reading activities and therefore the likelihood of improving their reading skills decreases. Digital game-based interventions have emerged as a promising tool for promoting reading development in children, particularly those with reading difficulties. As syllable-based…
Descriptors: Reading Skills, Reading Difficulties, Educational Technology, Intervention
Alam, Sabrina Shajeen; Dubé, Adam Kenneth – Journal of Computer Assisted Learning, 2023
Background: A strong knowledge of mathematics, beginning at the elementary level, is critical for participation in today's complex world. The home may be one way to facilitate individualized mathematics instruction, given that children spend more time at home than in an academic institution. Therefore, researchers are interested to see whether the…
Descriptors: Foreign Countries, Elementary School Students, Numeracy, Family Environment
Gombert, Sebastian; Di Mitri, Daniele; Karademir, Onur; Kubsch, Marcus; Kolbe, Hannah; Tautz, Simon; Grimm, Adrian; Bohm, Isabell; Neumann, Knut; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task…
Descriptors: Coding, Energy, Scientific Concepts, Formative Evaluation
Fan, Ting-Yu; Chen, Hsiu-Ling – Journal of Computer Assisted Learning, 2023
Background Study: English education has been promoted in Taiwan for many years. Recently, content and language integrated learning (CLIL) has received attention as an effective way to integrate English into real-life contexts. With advances in technology, digital storytelling is suitable for students to develop multiple skills such as narrating…
Descriptors: Cooperative Learning, Content and Language Integrated Learning, Elementary School Students, Electronic Learning
Aydin Bulut; Mustafa Yildiz – Journal of Computer Assisted Learning, 2024
Background: The use of computer-assisted reading comprehension is of critical importance in the context of promoting effective and engaging literacy education in the digital age. It provides students with the opportunity to work at their own pace and convenience, thereby facilitating self-directed learning and accommodating various learning…
Descriptors: Computer Assisted Instruction, Direct Instruction, Reading Comprehension, Technology Uses in Education
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
Yang, Der-Ching; Sianturi, Iwan Andi J. – Journal of Computer Assisted Learning, 2019
When solving a mathematical problem, students who do not have sufficient conceptual understanding may perform poorly and exhibit misconceptions. This study was aimed to examine students' conceptual understanding and significant misconceptions when solving number sense-related problems. An online three-tier diagnostic test was administered to 125…
Descriptors: Concept Formation, Diagnostic Tests, Misconceptions, Problem Solving