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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
Zhihui Cai; Caiyan Liu; Jieni Zhan; Zhikeng Wang; Xin Hao; Si Zhang; Xinjie Chen – Journal of Computer Assisted Learning, 2025
Background: Attention has been paid to collaboration in digital game-based learning, as it fosters interaction and student engagement, thereby enhancing learning outcomes. Previous findings about the effect of collaboration in digital game-based learning were inconsistent, and few studies have explored the underlying mechanisms, particularly…
Descriptors: Cooperative Learning, Computer Games, Game Based Learning, Learning Experience
Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
Shao, Kaiqi; Kutuk, Gulsah; Fryer, Luke K.; Nicholson, Laura J.; Guo, Jidong – Journal of Computer Assisted Learning, 2023
Background: Considerable evidence suggests that students' achievement emotions are important contributors to their learning and success online. It is, therefore, essential to understand and support students' emotional experiences to enhance online education, especially under the COVID-19 context. However, to date, very few studies have…
Descriptors: Student Attitudes, Undergraduate Students, English (Second Language), Second Language Learning
Xiaojing Liu; Chunmiao Zhou – Journal of Computer Assisted Learning, 2024
Background: The global introduction of complex measures directed at the containment of the COVID-19 spread has spurred a massive shift to distance learning among educational institutions. As far as such a learning mode is rather forced and, probably, only a few establishments faced no difficulties with it, the matter of assuring teaching…
Descriptors: Teacher Role, Educational Technology, Technology Uses in Education, Distance Education
Gao, Fei; Zhao, Na; Li, Xiumei – Journal of Computer Assisted Learning, 2020
This study was conducted to examine how a collaborative social annotation tool can be used to support collaborative learning in translation instruction for EFL students. Participants were 100 undergraduate students who were English majors in a southeast university in China. An experiment with crossover design was carried out to examine the…
Descriptors: Translation, Student Motivation, Student Attitudes, Cooperative Learning

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