Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale.
Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital co...
| Publicado en: | Journal of Computer Assisted Learning Vol. 37; no. 4; pp. 1063 - 1077 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151329632&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151329632 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2021 vid: 37 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 151329632 149898995 151329632 151329632 10.1111/jcal.12546 151329632 ppf: 1063 ppct: 14 formats: tig: atl: Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale. aug: au: Wang, Xinghua Wang, Zhuo Wang, Qiyun Chen, Wenli Pi, Zhongling affil: Normal College, Qingdao University, Qingdao, China sug: subj: Students, College Education, Masters Learning Methods Digital Technology Computer Literacy Evaluation Instrument Construction Instrument Validation Human Male Female Scales Psychometrics Factor Analysis Rasch Analysis Pilot Studies Predictive Validity Convenience Sample China Questionnaires Internal Consistency Criterion-Related Validity Construct Validity Descriptive Statistics Chi Square Test Coefficient alpha Male Female ab: Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital competence scale for university students (DC‐US) in digitally enhanced learning with robust psychometric properties. An initial DC‐US with 23 items was proposed to measure the single latent trait of digital competence. It was validated and refined continuously through a pilot study, a main study and a predictive validity study in three datasets involving 825 participants altogether, using factor analyses, Rasch analyses and the partial least squares modelling. The final DC‐US turned out to comprise two subscales: technical literacy and digital skills, with 10 items retained, and manifested high internal consistency, unidimensionality and measurement invariance. The scale also demonstrated strong predictive validity, with technical literacy greatly predicting digital skills, which negatively predicted technostress. The DC‐US enables instructors and school administrators to conveniently obtain preliminary information of university students' digital competence, informing their digital class preparation and development of timely interventions for addressing digital deficiencies. Lay Description: What is already known about this topic?: Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning (DEL).There is a lack of valid and convenient tools to measure university students' digital competence.Prior studies on its measurement mostly focus on educators and relied on factor analyses. What this paper adds?: A unidimensional, valid and unbiased digital competence scale was developed for university students.Rasch analyses and classical test theory were employed jointly for the scale development.The digital competence scale comprised two subscales: Technical literacy and digital skills. Implications for practice: University students can use the scale for a quick self‐assessment of their digital competence before joining DEL.Instructors can use the scale to gain an initial knowledge of their students' digital competence to inform digital class preparation.University administrators can rely on the scale to quickly evaluate the implementation effectiveness of DEL schemes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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