Juliana do Amaral, Ladislao Salmerón, Davi Alves Oliveira
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引用次数: 0
Abstract
Background
Misconceptions are unjustified beliefs about a topic. Nonetheless, they are pervasive among educational practitioners. Although the internet can be a powerful tool to learn and debunk misconceptions, their use requires competencies like navigating through search engine results pages (SERPs), evaluating the reliability of content, and integrating meaning across varied perspectives. Furthermore, as most information on the internet is available in English, L2 readers might face additional barriers, limiting their possibilities to benefit from content debunking misconceptions.
Objectives
Our premise was that digital reading competencies could be modelled through videos of eye movements (EMMEs), which would promote misconception change after reading webpages that either corroborated or debunked the Learning Styles (LS) misconception.
Methods
Undergraduate students, speakers of English as L2, watched EMMEs or an instructional video, read the webpages while their eye movements were recorded, wrote an essay, and answered a memory task and a misconception posttest.
Results and Conclusions
EMMEs had a positive effect on increased time inspecting the SERP, decreased fixation on non-reliable pages, and misconception change. No effects were found in integrated understanding, nor on source memory. Although L2 level predicted performance in the learning measures, it did not mediate the effect of EMMEs on these measures. These results confirm previous research on learning and extend the effects of EMMEs to misconception change in L2 contexts.
期刊介绍:
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope