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Ahmed Tlili; Soheil Salha; Juan Garzón; Mouna Denden; Kinshuk; Saida Affouneh; Daniel Burgos – Journal of Computer Assisted Learning, 2024
Background Study: Several meta-analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore…
Descriptors: Teaching Methods, Instructional Effectiveness, Electronic Learning, Student Experience
Qian Tian; Xudong Zheng – Journal of Computer Assisted Learning, 2024
Background: During the COVID-19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online…
Descriptors: Electronic Learning, COVID-19, Pandemics, Teaching Methods
Linlin Hu – Journal of Computer Assisted Learning, 2024
Background Study: As interest in programming education continues to grow, more educators are incorporating programming into K-12 classrooms. There is evidence that programming can help develop essential skills for future societal advancement, known as 21st century skills. However, there has been limited research into which sub-skills of 21st…
Descriptors: 21st Century Skills, Programming, Elementary Secondary Education, Futures (of Society)
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
Ley, Tobias; Tammets, Kairit; Pishtari, Gerti; Chejara, Pankaj; Kasepalu, Reet; Khalil, Mohammad; Saar, Merike; Tuvi, Iiris; Väljataga, Terje; Wasson, Barbara – Journal of Computer Assisted Learning, 2023
Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Analytics, Instructional Effectiveness
Hill, James; Hamer, Oliver; Breed, Hetty; Ford, Jordan; Twamley, Jacqueline; Kenyon, Roger; Twamley, Huw; Casey, Rob; Zhang, Jennifer; Clegg, Andrew – Journal of Computer Assisted Learning, 2023
Background: The use of virtual reality (VR) in medical education allows learners to make mistakes safely without risk to patients and to refine a range of clinical skills by repetition. However, there is still wide variability both between, and within countries regarding the amount of training delivered using VR, particularly in relation to…
Descriptors: Hospitals, Health Personnel, Patients, Job Training
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
Hu, Chih-Hsiang; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Background: Augmented reality (AR) has been incorporated in context-aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL…
Descriptors: Computer Simulation, Teaching Methods, Learning Theories, Instructional Effectiveness
Ade-Ojo, Gordon O.; Markowski, Marianne; Essex, Ryan; Stiell, Marlon; Jameson, Jill – Journal of Computer Assisted Learning, 2022
Background: Due to recent lockdown conditions, which restricted opportunities for face-to-face contact and the ability to be physically in schools, the need for novel, safe ways to train pre-service teachers emerged even more pressingly. Whilst virtual simulation has received some attention in pedagogy and its benefits have been demonstrated in…
Descriptors: Simulated Environment, Computer Simulation, Preservice Teacher Education, Teaching Methods
Lu Yang; Rui Li; Yu Zhou – Journal of Computer Assisted Learning, 2024
Background: While game-based language learning (GBLL) in K-12 education has received considerable attention, little is still known about its state-of-the-art research trends over the last decade, necessitating a systematic review on its theoretical frameworks, instructional activities and research findings. Objectives: To fill the gap, drawing on…
Descriptors: Game Based Learning, Second Language Learning, Elementary Secondary Education, Educational Research
Lai, Xiaoyan; Ye, Jiachu; Wong, Gary Ka Wai – Journal of Computer Assisted Learning, 2023
Background: Collaboration has commonly been integrated in computational thinking education to foster novice learning. While the majority of existing studies on developing students' CT skills have been based on competency or personality factors, social factors have been largely ignored. Objectives: This systematic review, framed by social cognitive…
Descriptors: Cooperative Learning, Instructional Effectiveness, Computation, Thinking Skills
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
Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
Liu, Caihua; Zowghi, Didar; Kearney, Matthew; Bano, Muneera – Journal of Computer Assisted Learning, 2021
Recent years have seen a growing call for inquiry-based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology-supported inquiry-based learning (mIBL) in secondary science education. More evidence-based, nuanced…
Descriptors: Active Learning, Inquiry, Electronic Learning, Technology Integration
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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