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Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing
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Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
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Jue-Qi Guan; Xiao-Feng Wang; Wen-Zhuo Wang; Jiong Zhu; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Painting is the foundational expression across all art forms and is one of the key creative practices for fostering students' aesthetic ability and creativity within fine arts courses. Collaborative painting in the form of socially shared regulation of learning (SSRL) can be recognized as an effective strategy for enhancing creativity…
Descriptors: Foreign Countries, Grade 5, Painting (Visual Arts), Cooperative Learning
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Xiao-Feng Wang; Jue-Qi Guan; Jing-Wen Xu; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: Group work plays a significant role in facilitating creative tasks and fostering student creativity, much like collaborative painting is an effective strategy for enhancing team creativity. Successful group work necessitates the establishment of efficient socially shared regulation (SSR). However, in current face-to-face learning…
Descriptors: Self Management, Sharing Behavior, Performance, Creativity
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Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
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Gu, Xiaoqing; Cai, Huiying – Journal of Computer Assisted Learning, 2019
A semantic diagram tool is proposed in this study in order to structure collaborative problem solving (CPS) based on cognitive load theory (CLT). To investigate its effects on transaction cost and the deepening of user understandings, a comparative quasi-experiment was designed and conducted with 49 participants from a university in East China.…
Descriptors: Semantics, Cooperative Learning, Cognitive Ability, Foreign Countries
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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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Wang, X.; Li, M.; Wang, M.; Cui, S.; Shi, L.; Duan, L.; Wang, T. – Journal of Computer Assisted Learning, 2018
This study is to examine the attitudes of students towards the case studies based on mobile messaging in a pharmacotherapy introduction class. Case studies were divided into 4 groups, with 30 pharmacy students each group. Each group was required to share pharmaceutical care plans on WeChat by posting messages. A post-activity survey was conducted:…
Descriptors: Telecommunications, Handheld Devices, Computer Software, Case Studies