Modelling Digital Competence by Combining Computational Thinking with General Learning Taxonomies
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| Title: | Modelling Digital Competence by Combining Computational Thinking with General Learning Taxonomies |
|---|---|
| Language: | English |
| Authors: | Schreiner, Claudia (ORCID |
| Source: | European Educational Researcher. 2023 6(1):21-42. |
| Availability: | European Educational Researcher. University of Seville Faculty of Education, Department of Teaching and Educational Organization, Pirotecnia 41013 Seville, Spain. Tel: +34-955-420590; Fax: +34-954-554306; e-mail: editor@eu-er.com; Web site: https://eu-er.com/ |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Computation, Thinking Skills, Digital Literacy, Competence, Models, Taxonomy, Learning Processes, Concept Formation, Algorithms, Logical Thinking, Troubleshooting, Problem Solving |
| ISSN: | 2517-6323 |
| Abstract: | In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system. Every competence model should build upon a consistent, theoretically sound framework for teaching and learning. We consequently develop a competence model for digital competence by drawing on the concept of computational thinking as well as on general learning taxonomies. By combining different knowledge and process dimensions with essential facets of computational thinking a cube model of digital competence can be constructed. Hence, we develop and substantiate a structure model for digital competence building upon the concept of computational thinking that goes beyond the existing frameworks only focusing on the subject-related context and present this for discussion. The next step would then be to supplement the structure model with specific learning objectives, so that developing approaches to teaching and learning digital competence has a sound basis. [Note: The publication year (2022) shown on the PDF is incorrect. The correct publication year for this article is 2023.] |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1383173 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1383173 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1383173 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modelling Digital Competence by Combining Computational Thinking with General Learning Taxonomies – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schreiner%2C+Claudia%22">Schreiner, Claudia</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3829-6295">0000-0002-3829-6295</externalLink>)<br /><searchLink fieldCode="AR" term="%22Wiesner%2C+Christian%22">Wiesner, Christian</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22European+Educational+Researcher%22"><i>European Educational Researcher</i></searchLink>. 2023 6(1):21-42. – Name: Avail Label: Availability Group: Avail Data: European Educational Researcher. University of Seville Faculty of Education, Department of Teaching and Educational Organization, Pirotecnia 41013 Seville, Spain. Tel: +34-955-420590; Fax: +34-954-554306; e-mail: editor@eu-er.com; Web site: https://eu-er.com/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 22 – Name: DatePubCY Label: Publication Date Group: Date Data: 2023 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Descriptive – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Thinking+Skills%22">Thinking Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Literacy%22">Digital Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Competence%22">Competence</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Taxonomy%22">Taxonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Processes%22">Learning Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Concept+Formation%22">Concept Formation</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Logical+Thinking%22">Logical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Troubleshooting%22">Troubleshooting</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2517-6323 – Name: Abstract Label: Abstract Group: Ab Data: In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system. Every competence model should build upon a consistent, theoretically sound framework for teaching and learning. We consequently develop a competence model for digital competence by drawing on the concept of computational thinking as well as on general learning taxonomies. By combining different knowledge and process dimensions with essential facets of computational thinking a cube model of digital competence can be constructed. Hence, we develop and substantiate a structure model for digital competence building upon the concept of computational thinking that goes beyond the existing frameworks only focusing on the subject-related context and present this for discussion. The next step would then be to supplement the structure model with specific learning objectives, so that developing approaches to teaching and learning digital competence has a sound basis. [Note: The publication year (2022) shown on the PDF is incorrect. The correct publication year for this article is 2023.] – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2023 – Name: AN Label: Accession Number Group: ID Data: EJ1383173 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1383173 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 21 Subjects: – SubjectFull: Computation Type: general – SubjectFull: Thinking Skills Type: general – SubjectFull: Digital Literacy Type: general – SubjectFull: Competence Type: general – SubjectFull: Models Type: general – SubjectFull: Taxonomy Type: general – SubjectFull: Learning Processes Type: general – SubjectFull: Concept Formation Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Logical Thinking Type: general – SubjectFull: Troubleshooting Type: general – SubjectFull: Problem Solving Type: general Titles: – TitleFull: Modelling Digital Competence by Combining Computational Thinking with General Learning Taxonomies Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schreiner, Claudia – PersonEntity: Name: NameFull: Wiesner, Christian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2517-6323 Numbering: – Type: volume Value: 6 – Type: issue Value: 1 Titles: – TitleFull: European Educational Researcher Type: main |
| ResultId | 1 |
