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Hanzhu Yang; Linlin Hu; Hao Wang; Yunfei Xin – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a cognitive approach intricately linked with core competencies in Science, Technology, Engineering, and Mathematics (STEM). Numerous studies have explored strategies to effectively integrate CT into STEM education and systematically evaluated the multidimensional impact on student learning outcomes.…
Descriptors: Integrated Activities, Computation, Thinking Skills, STEM Education
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Li, Shuqin; Wang, Weihua – Journal of Computer Assisted Learning, 2022
Background: Blended learning programs in Kindergarten through Grade 12 (K-12) classrooms are growing in popularity; however, previous studies assessing their effects have yielded inconsistent results. Further, their effects have not been completely quantitatively synthesized and evaluated. Objectives: The purpose of this study is to synthesize the…
Descriptors: Blended Learning, Instructional Effectiveness, Academic Achievement, Elementary Secondary Education
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Zhiwei Liu; Haode Zuo; Yongjing Lu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Meta Analysis
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Cai, Ying; Pan, Zilong; Liu, Min – Journal of Computer Assisted Learning, 2022
Background: As a recently emerging innovative technology, augmented reality (AR) has become a popular tool for language learning. However, to date, very few meta-analytical studies has been conducted on AR in this field to understand its effectiveness on language learning. Objectives: This meta-analysis was conducted to systematically synthesize…
Descriptors: Computer Simulation, Technology Uses in Education, Second Language Learning, Meta Analysis
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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
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Xu, Wei; Dai, Taotao; Shen, Zhiyi – Journal of Computer Assisted Learning, 2022
Background: Many researchers have explored the impact of various technologies in museums on learning effects. Whether the application of technology in informal museum learning is effective, is the current issue that scholars pay more attention to. Objectives: This study will find the evidence to determine the effects of technology use on museum…
Descriptors: Effect Size, Meta Analysis, Network Analysis, Museums
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Mize, Min; Park, Yujeong; Carter, Amanda – Journal of Computer Assisted Learning, 2022
Background: There have been several studies that involved technology-based self-monitoring procedures to increase on-task behavior. Although there are continued advancements in technology application such as functions that are embedded in the application (e.g., reinforcement, feedback), the appropriate use of technology is required to be…
Descriptors: Technology Uses in Education, Self Management, Student Behavior, Attention Control
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Mengdi Li; Yinyu Wang; Xiaorong Yang – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate which moderating variables affect learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Second Language Learning
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Lei, Hao; Wang, Chenxin; Chiu, Ming Ming; Chen, Shuangye – Journal of Computer Assisted Learning, 2022
Background: Researchers debate whether game-based learning (GBL) affects students' achievement emotions, as past studies yielded mixed results. Objectives: This study determines the overall effect of GBL on students' positive achievement emotion and their negative achievement emotions (PAEs, NAEs), along with their moderators. Methods: This…
Descriptors: Educational Games, Academic Achievement, Psychological Patterns, Meta Analysis
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Bissonnette, Steve; Boyer, Christian – Journal of Computer Assisted Learning, 2022
Tingir et al. (2017) concluded from their meta-analysis that the subject areas taught through mobile devices had significantly higher achievement scores (d = 0.48) than the ones taught with traditional teaching methods. Given the relatively high positive effect of mobile devices on student achievement, we carefully analysed the selected research…
Descriptors: Meta Analysis, Electronic Learning, Handheld Devices, Academic Achievement
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Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
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Ploetzner, Rolf; Berney, Sandra; Bétrancourt, Mireille – Journal of Computer Assisted Learning, 2020
In a systematic review, 194 studies on learning from animation were analysed. The analysis covers the learning domains, the representational characteristics of the animations, the assessed perceptual and cognitive achievements, and the assessment formats. Research on learning from animation focuses on assessing conceptual at the neglect of…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Processes
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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
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Ye, Jiachu; Lai, Xiaoyan; Wong, Gary Ka-Wai – Journal of Computer Assisted Learning, 2022
Background: Computational thinking (CT) is regarded as an essential 21st-century skill, and attempts have been made to integrate it into other subjects. Instructional approaches to CT development and assessment in the field of computer science have attracted global attention, but the influence of CT skills on other subject areas is…
Descriptors: Transfer of Training, Thinking Skills, Meta Analysis, 21st Century Skills
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Abrami, Philip C.; Lysenko, Larysa; Borokhovski, Eugene – Journal of Computer Assisted Learning, 2020
ABRACADABRA (ABRA) is an evidence-based suite of interactive multimedia that engages learners in the development of core reading skills. This meta-analysis presents an update of the research evidence about the effectiveness of ABRA for elementary students. It reports 91 effect sizes in six reading-related outcomes for a sample of 7,388 students.…
Descriptors: Meta Analysis, Evidence Based Practice, Multimedia Instruction, Reading Instruction
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