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Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
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
Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca – Journal of Computer Assisted Learning, 2023
Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…
Descriptors: Learning Analytics, Learning Strategies, Electronic Learning, Independent Study
Yen, M.-H.; Chen, S.; Wang, C.-Y.; Chen, H.-L.; Hsu, Y.-S.; Liu, T.-C. – Journal of Computer Assisted Learning, 2018
This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each…
Descriptors: Independent Study, Electronic Learning, Models, Online Courses
Glogger-Frey, I.; Kappich, J.; Schwonke, R.; Holzäpfel, L.; Nückles, M.; Renkl, A. – Journal of Computer Assisted Learning, 2015
A brief, problem-oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer-based learning opportunities. In a preliminary experiment, we found that student…
Descriptors: Electronic Learning, Computer Assisted Instruction, Computer Uses in Education, Student Teachers
Darabi, A.; Arrastia, M. C.; Nelson, D. W.; Cornille, T.; Liang, X. – Journal of Computer Assisted Learning, 2011
Some scholars argue that students do not achieve higher level learning, or cognitive presence, in online courses. Online discussion has been proposed to bridge this gap between online and face-to-face learning environments. However, the literature indicates that the conventional approach to online discussion--asking probing questions--does not…
Descriptors: Electronic Learning, Computer Mediated Communication, Online Courses, Asynchronous Communication
Wong, L-H.; Looi, C-K. – Journal of Computer Assisted Learning, 2010
In recent years, we have witnessed the concomitant rise of communicative and contextualized approaches as well as the paradigmatic development of the mobile-assisted language learning (MALL) framework in analysing language learning. The focus of MALL research has gradually shifted from content-based (delivery of learning content through mobile…
Descriptors: Electronic Learning, Case Studies, Vocabulary Development, Learning Experience