ANALYZING THE EFFECTIVENESS OF VERBAL-VISUAL LEARNING STYLE RATING (VVLSR) USING EYE-TRACKING TECHNOLOGY

IF 0.8 Q4 ENGINEERING, MECHANICAL
Suzan Alyahya
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Abstract

The study aims to analyze the effects of visual and verbal learning with the help of eye-tracking technology. A quantitative research design is adopted to assess verbal/visual performance using eye-tracking technology. The study recruited sixty-two students. The responses of participants were collected regarding the verbal-visual learning style rating (VVLSR). This study used eyetracking technology and assessed the verbal/visual performance of the participants. Fixation count on the map (FCm), Fixation count on the text (FCt), fixation duration on the map (FDm), and fixation duration on the text (FDt) were involved in the measures. Statistical analysis was performed through one-way analysis of variance (ANOVA) and Pearson correlation. Data were gathered with the Tobii X120 and collected with Tobii Studio. The findings revealed a significant relationship between text duration and verbal score (r = 0.543, p < 0.001). One-way ANOVA findings showed a significant impact of learning style on the visual test [F (2.59) = 6.26, p = 0.003]. No significa nt effect of learning style was reported on the verbal test [F (2.59) = 0.957, p = 0.390)]. The study has provided evidence of the effectiveness of visuals in multimedia learning environments. The participants' perceptions varied about the learning procedure. The study found a significant positive impact of using visual and verbal information for better learning and knowledge retention. In the future, the VVLSR will add value to the research in applied cognitive psychology as it will help the psychologist to identify the effects of different verbal/visual learning styles via eye-tracking technology.
运用眼动追踪技术分析语言-视觉学习风格评定的有效性
本研究旨在借助眼动追踪技术分析视觉和语言学习的效果。采用眼动追踪技术对语言/视觉表现进行定量研究设计。这项研究招募了62名学生。收集被试对语言-视觉学习风格评分(VVLSR)的反应。这项研究使用了眼球追踪技术,并评估了参与者的语言/视觉表现。测量包括对地图的注视计数(FCm)、对文字的注视计数(FCt)、对地图的注视时间(FDm)和对文字的注视时间(FDt)。统计学分析采用单因素方差分析(ANOVA)和Pearson相关分析。数据由Tobii X120和Tobii Studio收集。研究结果显示,文本时长与言语得分之间存在显著关系(r = 0.543, p < 0.001)。单因素方差分析结果显示,学习风格对视觉测试有显著影响[F (2.59) = 6.26, p = 0.003]。学习风格对言语测验无显著影响[F (2.59) = 0.957, p = 0.390)]。这项研究为多媒体学习环境中视觉效果的有效性提供了证据。参与者对学习过程的看法各不相同。研究发现,使用视觉和口头信息对更好的学习和知识记忆有显著的积极影响。未来,VVLSR将为应用认知心理学的研究增加价值,因为它将帮助心理学家通过眼动追踪技术识别不同的语言/视觉学习风格的影响。
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
27
期刊介绍: The Journal of Flow Visualization and Image Processing is a quarterly refereed research journal that publishes original papers to disseminate and exchange knowledge and information on the principles and applications of flow visualization techniques and related image processing algorithms.  Flow visualization and quantification have emerged as powerful tools in velocity, pressure, temperature and species concentration measurements, combustion diagnostics, and process monitoring related to physical, biomedical, and engineering sciences. Measurements were initially based on lasers but have expanded to include a wider electromagnetic spectrum. Numerical simulation is a second source of data amenable to image analysis. Direct visualization in the form of high speed, high resolution imaging supplements optical measurements. A combination of flow visualization and image processing holds promise to breach the holy grail of extracting instantaneous three dimensional data in transport phenomena.  Optical methods can be enlarged to cover a wide range of measurements, first by factoring in the applicable physical laws and next, by including the principle of image formation itself. These steps help in utilizing incomplete data and imperfect visualization for reconstructing a complete scenario of the transport process.[...]  The journal will promote academic and industrial advancement and improvement of flow imaging techniques internationally. It seeks to convey practical information in this field covering all areas in science, technology, and medicine for engineers, scientists, and researchers in industry, academia, and government.
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