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Lixin Wang – Journal of Computer Assisted Learning, 2025
Background: This paper represents an empirical study that examines the impact of specific teaching methods on the effectiveness of preschool music education. Objectives: The current study seeks to determine whether the integration of digital technology improves the music learning outcomes of preschoolers. Methods: The author compared the learning…
Descriptors: Foreign Countries, Preschool Children, Preschool Curriculum, Preschool Education
ElSayary, Areej – Journal of Computer Assisted Learning, 2023
Background: The emergence of remote teaching during the Coronavirus (COVID-19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly,…
Descriptors: Skill Development, Job Training, Faculty Development, Teacher Competencies
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
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
Masoumeh Kouhsari; Junjun Chen – Journal of Computer Assisted Learning, 2025
Background: The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Technology Integration
Wenhao Yu; Jiaqi He; Julan Luo; Xiaoyan Shu – Journal of Computer Assisted Learning, 2024
Background: Although gender inequality in education is gaining increasing attention, female underrepresentation remains pervasive in STEM fields. Many studies have applied various interventions to narrow the gender gap in STEM education. Objectives: In this study, we conducted a systematic meta-analysis to examine the effectiveness of various…
Descriptors: Intervention, Sex Fairness, STEM Education, Females
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
Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation
Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
Pramila-Savukoski, Sari; Kärnä, Raila; Kuivila, Heli-Maria; Oikarainen, Ashlee; Törmänen, Tiina; Juntunen, Jonna; Järvelä, Sanna; Mikkonen, Kristina – Journal of Computer Assisted Learning, 2023
Background: Health sciences education prepares students for social- and healthcare by developing evidence-based nursing, leadership and working life skills, including collaboration. Due to the changes caused by the global pandemic, health sciences education has shifted more to online and hybrid contexts, which can challenge students' competence…
Descriptors: Competence, Health Sciences, Student Development, Blended Learning
Gabriela Trindade Perry; Marlise Bock Santos – Journal of Computer Assisted Learning, 2024
Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…
Descriptors: Foreign Countries, MOOCs, Distance Education, Electronic Learning
Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
Maria Priego-Ojeda; Gemma Filella-Guiu; Núria Pérez-Escoda – Journal of Computer Assisted Learning, 2025
Background: Video games can be innovative, educational and therapeutic tools that have demonstrated positive outcomes in enhancing emotional skills. Many of these programmes have shown benefits in improving children and adolescents' emotional competencies, but there is a lack of research evidence on programmes that aim to intervene within the…
Descriptors: Educational Games, Parent Education, Parent Attitudes, Emotional Experience
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education

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