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Showing 1 to 15 of 209 results Save | Export
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F. Sehkar Fayda-Kinik; Munevver Cetin – Journal of Computer Assisted Learning, 2025
Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the…
Descriptors: Information Technology, Technology Uses in Education, Academic Achievement, Secondary Education
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Vanessa Echeverria; Gloria Fernandez Nieto; Linxuan Zhao; Evelyn Palominos; Namrata Srivastava; Dragan Gaševic; Viktoria Pammer-Schindler; Roberto Martinez-Maldonado – Journal of Computer Assisted Learning, 2025
Background: Dashboards play a prominent role in learning analytics (LA) research. In collaboration activities, dashboards can show traces of team participation. They are often evaluated based on students' perceived satisfaction and engagement with the dashboard. However, there is a notable methodological gap in understanding how these dashboards…
Descriptors: Learning Analytics, Educational Technology, Student Attitudes, Reflection
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Rakovic, Mladen; Iqbal, Sehrish; Li, Tongguang; Fan, Yizhou; Singh, Shaveen; Surendrannair, Surya; Kilgour, Jonathan; Graaf, Joep; Lim, Lyn; Molenaar, Inge; Bannert, Maria; Moore, Johanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by the characteristics of evolving written product and by the characteristics of learning processes learners enacted while developing the product. However, formative feedback…
Descriptors: Artificial Intelligence, Essays, High Achievement, Writing Achievement
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Villar-Aldonza, Adriano – Journal of Computer Assisted Learning, 2023
Background: The growth of teaching practices conducted to promote cognitive activation and active participation in the classroom in recent years has become the epicentre of an active debate regarding their effectiveness. Objectives: This study is aimed to shed some light on this topic by empirically analysing the causes and consequences of more…
Descriptors: Teaching Styles, Teaching Methods, Instructional Effectiveness, Achievement Tests
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Bülent BASARAN; Ömer SIMSEK – Journal of Computer Assisted Learning, 2024
Background: Their ubiquity is particularly notable as video games become increasingly intertwined with the technological revolution. Despite this prominence, gender disparities in adolescent video gaming remain under-explored. Objectives: This research aims to determine the frequency classes of video game playing based on gender, analyse the…
Descriptors: Gender Differences, Video Games, Play, Academic Achievement
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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
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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
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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
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Huang, Xiaoshan; Li, Shan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Medical students use a variety of self-regulated learning (SRL) strategies in different medical reasoning (MR) processes to solve patient cases of varying complexity. However, the interplay between SRL and MR processes is still unclear. Objectives: This study investigates how self-regulated learning (SRL) and medical reasoning (MR)…
Descriptors: Medical Students, Self Management, Problem Solving, Logical Thinking
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Shan Tang; Chi-Un Lei; Hong Qiang Wei – Journal of Computer Assisted Learning, 2024
Background: Given students' lack of self-directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to…
Descriptors: MOOCs, Elementary Secondary Education, Learning Strategies, Academic Achievement
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Camille Tordet; Jonathan Fernandez; Eric Jamet – Journal of Computer Assisted Learning, 2025
Background: Previous research has demonstrated that quizzing can improve self-regulation processes and learning performances. However, it remains unclear whether quizzes in multimedia material bring similar benefits, and whether interindividual differences such as working memory capacity (WMC) modulate quizzing effects. Aims: This study aimed to…
Descriptors: Self Management, Academic Achievement, Cognitive Processes, Multimedia Materials
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Zhongling Pi; Qiuchen Yu; Yi Zhang; Yan Li; Hui Chen; Jiumin Yang – Journal of Computer Assisted Learning, 2024
Background: Leaderboards are a highly popular gamification component used in student learning to enhance motivation, attentional engagement, and learning performance. However, few studies have examined the effects of individual leaderboard elements on English vocabulary learning through video lectures. Objectives: The present study aimed to…
Descriptors: Gamification, Student Motivation, Learner Engagement, Academic Achievement
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Osman Özdemir – Journal of Computer Assisted Learning, 2025
Background: In recent years, the widespread use of technology in classrooms has encouraged the transition from traditional lecture methods to digital-based learning environments. Technological game-based learning platforms, such as Kahoot!, which are used to encourage students' active participation and interaction in learning environments, are…
Descriptors: Game Based Learning, Video Games, Academic Achievement, Student Motivation
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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
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Sisman, Burak; Kucuk, Sevda; Ozcan, Neslihan – Journal of Computer Assisted Learning, 2022
Background: Educational robotics (ER) is a means of teaching technology and engineering to students that offers an active learning environment by encouraging them to create meaningful and unique products. ER also gives students the opportunity to work collaboratively. Objectives: In this study, elementary school students' behavioral patterns were…
Descriptors: Elementary School Students, Student Behavior, Behavior Patterns, Cooperative Learning
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