A052: Construction of Ski Instructors' Competency Evaluation Index SystemBased on O*NET Working Analysis

<bold>Background/Purpose:</bold> Skiing has emerged as a preeminent activity in ice and snow tourism, with ski resorts significantly bolstering the winter tourism economy. However, the burgeoning demand for instructors, coupled with the increasing number of enthusiasts, poses critical challenges for the sport's development. To address these issues, we have undertaken a comprehensive competency assessment to inform the training and retraining of instructors. This evaluation is also pertinent for selecting unlicensed instructors. <bold>Method:</bold> The study involved 12 experts and 250 ski instructors from Jilin Province. Research was conducted using keywords such as 'competency model' and 'instructor quality'. The O*NET questionnaire and a 5-point Likert scale were employed to develop the competency test items for ski instructors, encompassing extensive knowledge of ski theory and a passion for skiing. Data analysis comprised Cronbach's α, KMO and Bartlett's test, model fit analysis, and index weight analysis. <bold>Results:</bold> The overall Cronbach's α was 0.868, with a KMO value of 0.984, and the Bartlett test score reaching 5087.886 (p &lt; 0.01). The model fit analysis yielded a chi-square/DF of 1.248, with research indicators (resea) below 0.08, CFI and TLI above 0.9, and PGFI exceeding 0.5. Following three rounds of surveys, consistency tests indicated that each layer's indicators were C<sup>R</sup> &lt; 0.1, leading to the finalization of the evaluation index system's weights. The model included five primary indicators: personal traits (0.1878), professional ability (0.0872), work awareness ability (0.3047), coordination and communication ability (0.2147), and service ability (0.2056), alongside 22 secondary indicators, like achievement motivation (0.1352), skiing ability (0.3950), and continuous learning ability (0.3528). <bold>Conclusion/Discussion:</bold> The development of a ski instructors' competency evaluation index system based on O*NET Working Analysis exhibited scientific rigor and served as an effective tool for assessing ski instructors' competency levels. Among the model's five primary indicators, 'work awareness ability' was most significant, underscoring the importance of timely problem identification in coaching. Consequently, training should integrate practical experience, theoretical testing, and competency verification.

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Publication Details

Journal
International Journal of Physical Activity and Health
Published
2024-12-01
DOI
https://doi.org/10.18122/ijpah.3.3.52.boisestate
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00
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article

A052: Construction of Ski Instructors' Competency Evaluation Index SystemBased on O*NET Working Analysis

H. Wang, Jia Ran
International Journal of Physical Activity and Health
Educational Technology and Assessment
article

A052: Construction of Ski Instructors' Competency Evaluation Index SystemBased on O*NET Working Analysis

H. Wang, Jia Ran
article en

Abstract

<bold>Background/Purpose:</bold> Skiing has emerged as a preeminent activity in ice and snow tourism, with ski resorts significantly bolstering the winter tourism economy. However, the burgeoning demand for instructors, coupled with the increasing number of enthusiasts, poses critical challenges for the sport's development. To address these issues, we have undertaken a comprehensive competency assessment to inform the training and retraining of instructors. This evaluation is also pertinent for selecting unlicensed instructors. <bold>Method:</bold> The study involved 12 experts and 250 ski instructors from Jilin Province. Research was conducted using keywords such as 'competency model' and 'instructor quality'. The O*NET questionnaire and a 5-point Likert scale were employed to develop the competency test items for ski instructors, encompassing extensive knowledge of ski theory and a passion for skiing. Data analysis comprised Cronbach's α, KMO and Bartlett's test, model fit analysis, and index weight analysis. <bold>Results:</bold> The overall Cronbach's α was 0.868, with a KMO value of 0.984, and the Bartlett test score reaching 5087.886 (p &lt; 0.01). The model fit analysis yielded a chi-square/DF of 1.248, with research indicators (resea) below 0.08, CFI and TLI above 0.9, and PGFI exceeding 0.5. Following three rounds of surveys, consistency tests indicated that each layer's indicators were C<sup>R</sup> &lt; 0.1, leading to the finalization of the evaluation index system's weights. The model included five primary indicators: personal traits (0.1878), professional ability (0.0872), work awareness ability (0.3047), coordination and communication ability (0.2147), and service ability (0.2056), alongside 22 secondary indicators, like achievement motivation (0.1352), skiing ability (0.3950), and continuous learning ability (0.3528). <bold>Conclusion/Discussion:</bold> The development of a ski instructors' competency evaluation index system based on O*NET Working Analysis exhibited scientific rigor and served as an effective tool for assessing ski instructors' competency levels. Among the model's five primary indicators, 'work awareness ability' was most significant, underscoring the importance of timely problem identification in coaching. Consequently, training should integrate practical experience, theoretical testing, and competency verification.

International Journal of Physical Activity and HealthVol. 3(3)
Openalex Percentile: Top 60%
Educational Technology and Assessment
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