Yuan Xu-Fu, Ji Yu-Qin, Zhang Teng-Xiao, Xiang Hong-Bin, Ye Zhuo-Yan, Ye Qiang
School of Sports Training, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.
School of Sport and Human Science, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.
Psychol Res Behav Manag. 2024 Feb 28;17:813-826. doi: 10.2147/PRBM.S442863. eCollection 2024.
BACKGROUND/OBJECTIVE: In the post-epidemic era, an increasing number of individuals were accustomed to learning sports and physical activity knowledge online for fitness and health demands. However, most previous studies have examined the influence of e-learning materials and resources on learners and have neglected intrinsic factors such as experience and physiological characteristics. Therefore, we conducted a study to investigate the effect of exercise habits and gender on sports e-learning behavior via eye-tracking technology.
We recruited a sample of 60 undergraduate students (mean age = 19.6) from a university in Nanjing, China. They were randomly assigned into 4 groups based on 2 genders × 2 exercise habits. Their gaze behavior was collected by an eye-tracking device during the experiment. The cognitive Load Test and Learning Effect Test were conducted at the end of the individual experiment.
(1) Compared to the non-exercise habit group, the exercise habit group had a higher fixation count (P<0.05), a shorter average fixation duration (P<0.05), a smaller average pupil diameter (P<0.05), and a lower subjective cognitive load (P<0.05) and better learning outcome (P<0.05). (2) Male participants showed a greater tendency to process information from the video area of interest (AOIs), and had lower subjective cognitive load (P < 0.05) and better learning outcomes (P < 0.05). (3) There was no interaction effect between exercise habits and gender for any of the indicators (P > 0.05).
Our results indicate that exercise habits effectively enhance sports e-learning outcomes and reduce cognitive load. The exercise habits group showed significant improvements in fixation counts, average fixation duration, and average pupil diameter. Furthermore, male subjects exhibited superior learning outcomes, experienced lower cognitive load, and demonstrated greater attentiveness to dynamic visual information. These conclusions are expected to improve sports e-learning success and address educational inequality.
背景/目的:在后疫情时代,越来越多的人习惯通过在线学习体育和身体活动知识来满足健身和健康需求。然而,以往大多数研究都考察了电子学习材料和资源对学习者的影响,而忽略了经验和生理特征等内在因素。因此,我们开展了一项研究,通过眼动追踪技术调查运动习惯和性别对体育电子学习行为的影响。
我们从中国南京的一所大学招募了60名本科生样本(平均年龄=19.6岁)。他们根据2种性别×2种运动习惯被随机分为4组。在实验过程中,通过眼动追踪设备收集他们的注视行为。在个体实验结束时进行认知负荷测试和学习效果测试。
(1)与无运动习惯组相比,运动习惯组的注视次数更多(P<0.05),平均注视持续时间更短(P<0.05),平均瞳孔直径更小(P<0.05),主观认知负荷更低(P<0.05),学习效果更好(P<0.05)。(2)男性参与者更倾向于处理来自感兴趣视频区域(AOIs)的信息,主观认知负荷更低(P<0.05),学习效果更好(P<0.05)。(3)对于任何指标,运动习惯和性别之间均无交互作用(P>0.05)。
我们的结果表明,运动习惯能有效提高体育电子学习效果并降低认知负荷。运动习惯组在注视次数、平均注视持续时间和平均瞳孔直径方面有显著改善。此外,男性受试者表现出更好的学习效果,认知负荷更低,对动态视觉信息的关注度更高。这些结论有望提高体育电子学习的成功率并解决教育不平等问题。