Validation of an Indicator Model (INCODIES) for Assessing Student Digital Competence in Basic Education

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Title: Validation of an Indicator Model (INCODIES) for Assessing Student Digital Competence in Basic Education
Language: English
Authors: García-Valcárcel Muñoz-Repiso, Ana (ORCID 0000-0003-0463-0192), Casillas Martín, Sonia (ORCID 0000-0001-5304-534X), Basilotta Gómez-Pablos, Verónica (ORCID 0000-0003-1976-4548)
Source: Journal of New Approaches in Educational Research. 2020 9(1):110-125.
Availability: University of Alicante. Carretera San Vincente del Raspeig, Alicante, 03690, Spain. Tel: +34-96-590-3721; Fax: +35-96-590-3464; e-mail: editor.naerjournal@ua.es; Web site: https://naerjournal.ua.es
Peer Reviewed: Y
Page Count: 16
Publication Date: 2020
Document Type: Journal Articles
Reports - Research
Education Level: Adult Basic Education
Adult Education
Elementary Education
Descriptors: Foreign Countries, Basic Skills, Student Evaluation, Educational Indicators, Technological Literacy, Content Validity, Competence
Geographic Terms: Spain
ISSN: 2254-7339
Abstract: Digital competence is a basic skill for citizens and should be systematically assessed, taking into account characteristics such as knowledge, skills and attitudes. However, measuring and identifying the digital competence of students is still a major challenge. To this end, the indicator model (INCODIES) has been developed and validated following the structure of the DIGCOMP model, which can be used to create assessment tests that measure student digital competence when they have completed their compulsory education. This article presents the results of a process of content validation carried out by 77 experts, in both the school and the university context. The analysis of the experts' assessments and the level of agreement among those rating them were carried out following an original method which consists of determining a quantitative index for the validity of content called the Content Validity Ratio (CVR). The results obtained allowed us to confirm that the competences included in the reference framework DIGCOMP are correctly represented in the items formulated for the INCODIES model, which obtained high content validity. The model can serve as a structure and basis for the designing of specific evaluation tests on this topic.
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1241556
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22García-Valcárcel+Muñoz-Repiso%2C+Ana%22">García-Valcárcel Muñoz-Repiso, Ana</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0463-0192">0000-0003-0463-0192</externalLink>)<br /><searchLink fieldCode="AR" term="%22Casillas+Martín%2C+Sonia%22">Casillas Martín, Sonia</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5304-534X">0000-0001-5304-534X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Basilotta+Gómez-Pablos%2C+Verónica%22">Basilotta Gómez-Pablos, Verónica</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1976-4548">0000-0003-1976-4548</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+New+Approaches+in+Educational+Research%22"><i>Journal of New Approaches in Educational Research</i></searchLink>. 2020 9(1):110-125.
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  Data: University of Alicante. Carretera San Vincente del Raspeig, Alicante, 03690, Spain. Tel: +34-96-590-3721; Fax: +35-96-590-3464; e-mail: editor.naerjournal@ua.es; Web site: https://naerjournal.ua.es
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  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Basic+Skills%22">Basic Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Evaluation%22">Student Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Indicators%22">Educational Indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Content+Validity%22">Content Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Competence%22">Competence</searchLink>
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  Data: Digital competence is a basic skill for citizens and should be systematically assessed, taking into account characteristics such as knowledge, skills and attitudes. However, measuring and identifying the digital competence of students is still a major challenge. To this end, the indicator model (INCODIES) has been developed and validated following the structure of the DIGCOMP model, which can be used to create assessment tests that measure student digital competence when they have completed their compulsory education. This article presents the results of a process of content validation carried out by 77 experts, in both the school and the university context. The analysis of the experts' assessments and the level of agreement among those rating them were carried out following an original method which consists of determining a quantitative index for the validity of content called the Content Validity Ratio (CVR). The results obtained allowed us to confirm that the competences included in the reference framework DIGCOMP are correctly represented in the items formulated for the INCODIES model, which obtained high content validity. The model can serve as a structure and basis for the designing of specific evaluation tests on this topic.
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      – SubjectFull: Competence
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