Evidence map›Paper›PMID 38434961›Full record

ArticlePsychology research and behavior management2024

Effects of Exercise Habits and Gender on Sports e-Learning Behavior: Evidence from an Eye-Tracking Study.

Xu-Fu Yuan, Yu-Qin Ji, Teng-Xiao Zhang, Hong-Bin Xiang, Zhuo-Yan Ye, Qiang Ye

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Article in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xu-Fu YuanSchool of Sports Training, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.ORCID 0009-0001-1383-9265
Yu-Qin JiSchool of Sport and Human Science, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.ORCID 0009-0002-3140-3833
Teng-Xiao ZhangSchool of Physical Education and Humanities, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.
Hong-Bin XiangSchool of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, UK.ORCID 0009-0001-6118-7994
Zhuo-Yan YeNanjing Foreign Language School Xianlin Campus, Nanjing, Jiangsu, People's Republic of China.
Qiang YeSchool of Physical Education and Humanities, Nanjing Sport Institute, Nanjing, Jiangsu, People's Republic of China.ORCID 0000-0003-3027-6932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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. Methods: 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. Results: (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). Conclusion: 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.

Indexed as

e-learningexercise habiteye-trackinggaze behaviorgender

Identifiers

PMID38434961
PMCPMC10909329

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.