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技術院校學生健康科技素養內涵創新模式之建構研究

An Innovative Model Content Construction of Health Technology Literacy for Students of Technological Colleges

摘要


本研究旨在運用健康科技素養量表以了解技職院校學生之健康科技素養狀況,進而建構其內涵的創新模式,以為提昇創新能力之參鑑。研究者透過文獻分析,發現適用於解釋健康科技的理論,包括計畫行為理論、社會認知理論、創新擴散理論、科技接受模式、健康信念模式等。透過專家諮詢、Delphi意見調查法,建立衡量技職院校學生健康科技素養之指標,進而發展量表。經結構方程模式二階驗證性因素分析、效度考驗,發現模式適配度良好,乃確定量表之二階因素健康科技素養,含一皆因素的認知、創新傾向、信念、知識分享等。然後利用抽樣調查法,從全台技職院校分層、叢集隨機抽出16所,總共發出3600份量表,回收有效量表3012份,回收率的67%。以結構方程模式統計軟體AMOS,並參照LISREL進行結構模式分析,發現模式通配度良好,所建立的技職院校學生健康科技素養內涵創新模式,其路徑關係是,知識分享對信念、認知和創新傾向,信念對認知、創新傾向,認知對創新傾向皆有正向關係;再經性別、學制、系科等驗證,適配度均為良好。提出結論、建議事項,作為技職院校培植健康科技創新人才以滿足業界需求之參考。

並列摘要


The purpose of this study was to explore the contents of the related theories of students' health technology literacy, assess their literacy situation by using a scale, and construct an innovative content model of health technology literacy to enhance their innovative capability. The health technological literacy scale for students in technological colleges was constructed by consulting with experts and Delphi survey. By means of the structure equation modeling (SEM) with two-order confirmatory factor analysis, validity and reliability analysis, the model was tested with good fit, and the contents were certainly second-order factor of health technological literacy, including first-order factors, which include the following items: cognition, innovation propensity, health belief and knowledge sharing. Then, using survey method with cluster and stratified random sampling from 16 technological and vocational colleges in Taiwan, 3,600 questionnaires were sent out, and 3,012 of effective questionnaires were returned, with a survey reaching 83.67% of return-ratio. The results indicated that the students' literacy content of health technology consisted of cognition, innovation propensity, belief and knowledge sharing, according to the theories of planning behavior, social cognition, innovative diffusion, technology acceptance and health belief; also, there were very significant correlations and predictabilities with one another. The model of students' literacy contents was tested with good fit through SEM with statistical software of AMOS and LISREL. This model revealed that there were some positive correlations of path relationship: sharing toward belief, cognition and innovation propensity; belief toward cognition and innovation propensity; cognition toward innovation propensity. The contents of students' literacy in health technology were regarded as a part of liberal education, and would enhance their health and innovative capability. Finally, conclusions and suggestions could serve as references for the university teaching and further research.

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