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Osman Birgin; Kayhan Demirören – Journal of Computer Assisted Learning, 2025
Background: Previous research has shown that students often struggle to understand algebraic expressions and solve equations, and that traditional instructional approaches may not be sufficient to address these challenges. While the use of technology and physical manipulatives independently has been shown to support students' conceptual…
Descriptors: Middle School Students, Grade 7, Student Attitudes, Mathematics Instruction
Kun Huang; Ching-Huei Chen – Journal of Computer Assisted Learning, 2025
Background: Digital game-based learning (DGBL) has shown promise in enhancing learning and motivation, with appropriate scaffolding playing a crucial role in facilitating student inquiries and knowledge acquisition through science games. While scaffolding is generally effective in promoting learning in DGBL, there is variability among different…
Descriptors: Video Technology, Educational Technology, Artificial Intelligence, Computer Mediated Communication
Eder, Thésése F.; Scheiter, Katharina; Richter, Juliane; Keutel, Constanze; Hüttig, Fabian – Journal of Computer Assisted Learning, 2022
Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified.…
Descriptors: Eye Movements, Dentistry, Visual Aids, Radiology
Areej ElSayary – Journal of Computer Assisted Learning, 2024
Background: The widespread use of information and communication technology (ICT) has led to significant changes in societal aspects, resulting in the emergence of a "knowledge society." However, students and teachers have faced challenges in adapting to this digitalization. In the United Arab Emirates (UAE), transitioning to a…
Descriptors: Teacher Attitudes, Artificial Intelligence, Information Technology, Barriers
Tsung-Yen Chuang; Szu-Kai Tsai; Yu-Hsuan Lu – Journal of Computer Assisted Learning, 2025
Background: Current education increasingly emphasises the development and significance of Critical Thinking (CT), aiming to enhance individuals' adaptability in a rapidly evolving society. However, few effective teaching methods have been identified for integrating CT into existing on-site courses. While previous studies have focused on the…
Descriptors: Game Based Learning, Critical Thinking, Thinking Skills, Technology Uses in Education
Lai, Jennifer W. M.; Bower, Matt – Journal of Computer Assisted Learning, 2020
Because the educational technology research literature is so broad, it is difficult for researchers to acquire an accurate sense of the issues and trends across the entire field. There has not been any recent effort to synthesize or critically analyse the systematic reviews in the area of educational technology. This study analysed 73 systematic…
Descriptors: Educational Research, Literature Reviews, Educational Technology, Influence of Technology
Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
Mark Feng Teng; Yachong Cui – Journal of Computer Assisted Learning, 2024
Background: Vocabulary learning in a second language (L2) encompasses crucial aspects, including single words and collocations. Research indicates that L2 learners can incidentally learn single words from captioned videos, but less is known about the incidental learning outcomes of collocations, let alone the differences in learning gains for…
Descriptors: Incidental Learning, Vocabulary, Short Term Memory, Knowledge Level
Zunera Zahid; Sara Ali; Shehriyar Shariq; Yasar Ayaz; Noman Naseer; Irum Yaseen – Journal of Computer Assisted Learning, 2024
Background: This study presents a Robot-Inspired Computer-Assisted Adaptive Autism Therapy (RoboCA[supercript 3]T) focusing on improving joint attention and imitation skills of children with autism spectrum disorder (ASD). By harnessing the inherent affinity of children with ASD for robots and technology, RoboCA[superscript 3]T offers a…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Assistive Technology
Ove E. Hatlevik; Vibeke Bjarnø – Journal of Computer Assisted Learning, 2024
Background: With the rapid advancement of digital technology, student teachers must be proficient in evaluating digital information, resilient to digital distractions, and able to discern the usefulness of Information and Communication Technology. Objectives: This study investigates the relationships between these concepts at two points in time.…
Descriptors: Educational Technology, Preservice Teachers, Attention, Foreign Countries
Li, Wenhao; Qian, Li; Feng, Qinna; Luo, Heng – Journal of Computer Assisted Learning, 2023
Background: Panoramic video as a novel instructional media with increasing educational application. However, empirical research on panoramic video instruction is mostly episodic with conditional and inconclusive results. Objectives: This study reviewed 10 years (2011-2021) of research on panoramic video in education to synthesize, meta-analyse,…
Descriptors: Video Technology, Technology Uses in Education, Instructional Design, Research Design
Eniko Orsolya Bereczki; Zsofia K. Takacs; J. Elizabeth Richey; Huy A. Nguyen; Michael Mogessie; Bruce M. McLaren – Journal of Computer Assisted Learning, 2024
Background: Mindfulness practices enhance executive function skills and academic achievement, spurring interest in integrating mindfulness interventions into education. Embedding mindfulness practice into a digital math game may provide a low-cost, scalable way to induce mindfulness and boost game-based learning, yet this approach remains…
Descriptors: Metacognition, Educational Games, Video Games, Game Based Learning
Mohamed Ali Nagy Elmaadaway; Mohamed Elsayed El-Naggar; Mohamed Radwan Ibrahim Abouhashesh – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) made substantial progress with language recognition. Proficiency in spoken English reading is a prerequisite for fluency in written English. However, research on its use, especially for non-native speakers, is lacking despite increased usage. Objectives: This study aimed to enhance the oral reading fluency…
Descriptors: Artificial Intelligence, Reading Fluency, Elementary School Students, Oral Reading
Johanna Pöysä-Tarhonen; Shupin Li; Jarkko Hautala; Nafisa Awwal; Päivi Häkkinen – Journal of Computer Assisted Learning, 2025
Background: Collaborative problem-solving (CPS), encompassing social and cognitive domains, is recognised as a critical competency for current and future learners. While the cognitive domain, rooted in individual problem-solving, is relatively well understood, the social domain, manifested through social interaction, remains a challenge,…
Descriptors: Problem Solving, Distance Education, Attention Control, Cooperative Learning
Yerin Seung; James D. Basham; Taehyun Kim; Jennifer Lohoefener – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Student Diversity

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