{"title":"以眼动模型示例为线索,引导注意力并提高长短动画的学习效果","authors":"Fuxing Wang, Xiaoxue Leng, Ziyi Kuang, Tingting Zhao","doi":"10.1111/jcal.13094","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Both eye movement modelling examples (EMMEs) and cues guide attention and improve learning in multimedia learning environments. EMME can act as a special form of cue. However, no studies have directly examined whether EMME would be superior to visual cues.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>The study was to investigate whether there were advantages of EMME over cues on visual attention, learning outcomes and subjective perception in a multimedia environment.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>In Experiment 1, 67 college students were randomly assigned to the EMME group, cue group and control group and learned from animations explaining the synaptic transmission. In Experiment 2, we replicated Experiment 1 using longer learning material. Seventy-one college students were randomly assigned to three groups (EMME, cue and control) and learned from animations explaining the process of cell division.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>In Experiment 1, results indicated both EMMEs and cues guide attention and facilitate learning. Regarding learning outcomes and subjective perception, learners did not benefit more from EMMEs than cues. Eye movement indicators showed that EMMEs were better than cues. In Experiment 2, results were consistent with Experiment 1.</p>\n </section>\n \n <section>\n \n <h3> Implications</h3>\n \n <p>This study is the first to compare EMMEs and cues. We found that EMMEs and cues were equivalent in producing effects on learning outcomes and subjective perception. EMMEs were superior to cues in guiding attention and conveying strategies, as indicated by eye movements. Both theoretical and practical implications could be drawn.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eye Movement Modelling Examples as Cues to Guide Attention and Improve Learning in Short or Long Animations\",\"authors\":\"Fuxing Wang, Xiaoxue Leng, Ziyi Kuang, Tingting Zhao\",\"doi\":\"10.1111/jcal.13094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Both eye movement modelling examples (EMMEs) and cues guide attention and improve learning in multimedia learning environments. EMME can act as a special form of cue. However, no studies have directly examined whether EMME would be superior to visual cues.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The study was to investigate whether there were advantages of EMME over cues on visual attention, learning outcomes and subjective perception in a multimedia environment.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>In Experiment 1, 67 college students were randomly assigned to the EMME group, cue group and control group and learned from animations explaining the synaptic transmission. In Experiment 2, we replicated Experiment 1 using longer learning material. Seventy-one college students were randomly assigned to three groups (EMME, cue and control) and learned from animations explaining the process of cell division.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results and Conclusions</h3>\\n \\n <p>In Experiment 1, results indicated both EMMEs and cues guide attention and facilitate learning. Regarding learning outcomes and subjective perception, learners did not benefit more from EMMEs than cues. Eye movement indicators showed that EMMEs were better than cues. In Experiment 2, results were consistent with Experiment 1.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Implications</h3>\\n \\n <p>This study is the first to compare EMMEs and cues. We found that EMMEs and cues were equivalent in producing effects on learning outcomes and subjective perception. EMMEs were superior to cues in guiding attention and conveying strategies, as indicated by eye movements. 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Eye Movement Modelling Examples as Cues to Guide Attention and Improve Learning in Short or Long Animations
Background
Both eye movement modelling examples (EMMEs) and cues guide attention and improve learning in multimedia learning environments. EMME can act as a special form of cue. However, no studies have directly examined whether EMME would be superior to visual cues.
Objective
The study was to investigate whether there were advantages of EMME over cues on visual attention, learning outcomes and subjective perception in a multimedia environment.
Method
In Experiment 1, 67 college students were randomly assigned to the EMME group, cue group and control group and learned from animations explaining the synaptic transmission. In Experiment 2, we replicated Experiment 1 using longer learning material. Seventy-one college students were randomly assigned to three groups (EMME, cue and control) and learned from animations explaining the process of cell division.
Results and Conclusions
In Experiment 1, results indicated both EMMEs and cues guide attention and facilitate learning. Regarding learning outcomes and subjective perception, learners did not benefit more from EMMEs than cues. Eye movement indicators showed that EMMEs were better than cues. In Experiment 2, results were consistent with Experiment 1.
Implications
This study is the first to compare EMMEs and cues. We found that EMMEs and cues were equivalent in producing effects on learning outcomes and subjective perception. EMMEs were superior to cues in guiding attention and conveying strategies, as indicated by eye movements. Both theoretical and practical implications could be drawn.
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