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Wu, Changcheng; Jing, Bin; Gong, Xue; Ma, Xunzhou – Journal of Computer Assisted Learning, 2023
Background: Zoomorphism, an obverse of conventional anthropomorphism, has been shown in many cases to be a powerful tool with respect to the metaphorical use of animals. Objectives: This study introduced zoomorphism into the instructional video design of pedagogical agents (PAs). Method: We first developed three image sets, each of which…
Descriptors: Instructional Films, Imagery, Animals, Instructional Design
David A. Martin; Peter Curtis; Petrea Redmond – Journal of Computer Assisted Learning, 2024
Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and…
Descriptors: Elementary School Students, Student Attitudes, Programming, Computation
Nunes, Andreia; Cordeiro, Carolina; Limpo, Teresa; Castro, São Luís – Journal of Computer Assisted Learning, 2022
Background: Automated Writing Evaluation (AWE) systems to aid writing learning and instruction in primary and secondary education are growing increasingly popular. However, their effectiveness is hardly known. We conducted a systematic review focusing on the effects of these systems providing writing feedback to students in school settings.…
Descriptors: Writing Evaluation, Automation, Program Evaluation, Writing Instruction
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
Bhatia, Parnika; Le Diagon, Sarah; Langlois, Emma; William, Melissa; Prado, Jérôme; Gardes, Marie-Line – Journal of Computer Assisted Learning, 2023
Background: Digital game-based learning is gaining increased attention from both researchers and educators for improving mathematics instruction. However, the evidence for game-based learning is mixed and research with rigorous research design and analyses are limited. Objective: Here, in a pre-registered randomized controlled study, we…
Descriptors: Fractions, Mathematics Instruction, Comparative Analysis, Game Based Learning
Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
Rocío Mínguez-Pardo; Javier Del Olmo-Muñoz; Sergio Tirado-Olivares; José Antonio González-Calero – Journal of Computer Assisted Learning, 2024
Background: The present study delves into the debate surrounding the effectiveness of homework, focusing specifically on the use of online homework in teaching decimal numbers to 5th and 6th grade primary school students. It highlights the challenges students face in representing and identifying decimal numbers, a concept that is often difficult…
Descriptors: Electronic Learning, Homework, Mathematics Instruction, Number Concepts
Sun, Lihui; Zhou, Danhua – Journal of Computer Assisted Learning, 2023
Background: As one of the mainstream forms of programming education, educational robotics (ER) have been a crucial way to develop K-12 students' programming ability. Objectives: The purpose of this study is to clarify the content of programming ability, to verify the effectiveness of ER as a teaching method to improve students' programming…
Descriptors: Elementary School Students, Secondary School Students, Robotics, Programming
Toonder, Scott; Sawyer, L. Brook – Journal of Computer Assisted Learning, 2021
Research has demonstrated that computer assisted instruction (CAI) can have positive impacts on various literacy skills, however its impact on specific comprehension skills is currently unclear. This study employed a small-scale randomized control trial to examine the impact of a researcher-developed adaptive computer assisted instructional…
Descriptors: Computer Assisted Instruction, Teaching Methods, Reading Comprehension, Elementary School Students
Hwang, Wu-Yuin; Hoang, Anh; Lin, Ya-Hsuan – Journal of Computer Assisted Learning, 2021
With facilitation of advanced technologies, design and application of "smart" become promising research issues in education. Although it is potential for students to learn geometric in authentic contexts, there were still lack of studies addressing "smart" learning issue in authentic context for geometry. This study aim to…
Descriptors: Geometry, Elementary School Students, Computer Assisted Instruction, Authentic Learning
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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
Hwang, Gwo-Jen; Chang, Shao-Chen; Song, Yanjie; Hsieh, Min-Chuan – Journal of Computer Assisted Learning, 2021
Scholars have suggested that flipped learning can be enhanced by designing effective in-class learning activities to improve students' higher order thinking skills. Problem posing has been recognized as such a learning strategy that has great potential for improving students' higher order thinking skills. However, it has been reported as a…
Descriptors: Flipped Classroom, Educational Environment, Electronic Learning, Concept Mapping
Castro, Emanuela; Cecchi, Francesca; Valente, Massimiliano; Buselli, Elisa; Salvini, Pericle; Dario, Paolo – Journal of Computer Assisted Learning, 2018
Studies have shown that educational robotics (ER) may impact student learning, especially in relation to STEM (science, technology, engineering, and mathematics) areas. In the STEM framework, particularly for younger children, the "E" and the "T" are considered to be missing letters, because few studies have concentrated on…
Descriptors: Robotics, STEM Education, Teaching Methods, Gender Differences