Kotzebue, Lena von ; Meier, Monique ; Finger, Alexander ; Kremser, Erik ; Huwer, Johannes ; Thoms, Lars-Jochen ; Becker, Sebastian ; Bruckermann, Till ; Thyssen, Christoph (2022)
The Framework DiKoLAN (Digital Competencies for Teaching in Science Education) as Basis for the Self-Assessment Tool DiKoLAN-Grid.
In: Education Sciences, 2022, 11 (12)
doi: 10.26083/tuprints-00020073
Artikel, Zweitveröffentlichung, Verlagsversion
Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
For the planning and implementation of lessons with digital technologies, a subject-specific technology-related professional competence of teachers is of central importance. However, the competency frameworks developed so far remain in a general perspective and do not explicitly address subject-specific issues. Furthermore, digital competencies are predominantly measured with subject-unspecific self-assessment instruments, as subject-specific operationalizations for this area are not yet available in a differentiated form. In this article, the framework for Digital Competencies for Teaching in Science Education (DiKoLAN), a subject-specific framework for pre-service science teachers, is introduced, on the one hand, and, on the other hand, first results of a self-assessment tool based on the framework are described. DiKoLAN defines competency areas highly specific to science, as well as more general competency areas that include aspects common to all subjects. Each competency area is described by competency expectations, which, in turn, are structured with reference to the four technology-related dimensions of the TPACK framework (i.e., Technological and Pedagogical Content Knowledge) and three levels of performance (Name, Describe, Use/Apply). Derived from DiKoLAN, a corresponding self-assessment instrument (DiKoLAN-Grid) was developed and empirically tested for the two competency areas, (n = 118) and Information Search and Evaluation (n = 90), in biology student teachers. By means of path models, tendencies regarding structural correlations of the four components Special Tools (TK), Content-specific Context (TCK), Methods and Digitality (TPK), and Teaching (TPACK) are presented for both competency areas and discussed, as well as in comparison to previously conducted, subject-unspecific surveys.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2022 |
Autor(en): | Kotzebue, Lena von ; Meier, Monique ; Finger, Alexander ; Kremser, Erik ; Huwer, Johannes ; Thoms, Lars-Jochen ; Becker, Sebastian ; Bruckermann, Till ; Thyssen, Christoph |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | The Framework DiKoLAN (Digital Competencies for Teaching in Science Education) as Basis for the Self-Assessment Tool DiKoLAN-Grid |
Sprache: | Englisch |
Publikationsjahr: | 2022 |
Publikationsdatum der Erstveröffentlichung: | 2022 |
Verlag: | MDPI |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Education Sciences |
Jahrgang/Volume einer Zeitschrift: | 11 |
(Heft-)Nummer: | 12 |
Kollation: | 23 Seiten |
DOI: | 10.26083/tuprints-00020073 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/20073 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichung DeepGreen |
Kurzbeschreibung (Abstract): | For the planning and implementation of lessons with digital technologies, a subject-specific technology-related professional competence of teachers is of central importance. However, the competency frameworks developed so far remain in a general perspective and do not explicitly address subject-specific issues. Furthermore, digital competencies are predominantly measured with subject-unspecific self-assessment instruments, as subject-specific operationalizations for this area are not yet available in a differentiated form. In this article, the framework for Digital Competencies for Teaching in Science Education (DiKoLAN), a subject-specific framework for pre-service science teachers, is introduced, on the one hand, and, on the other hand, first results of a self-assessment tool based on the framework are described. DiKoLAN defines competency areas highly specific to science, as well as more general competency areas that include aspects common to all subjects. Each competency area is described by competency expectations, which, in turn, are structured with reference to the four technology-related dimensions of the TPACK framework (i.e., Technological and Pedagogical Content Knowledge) and three levels of performance (Name, Describe, Use/Apply). Derived from DiKoLAN, a corresponding self-assessment instrument (DiKoLAN-Grid) was developed and empirically tested for the two competency areas, (n = 118) and Information Search and Evaluation (n = 90), in biology student teachers. By means of path models, tendencies regarding structural correlations of the four components Special Tools (TK), Content-specific Context (TCK), Methods and Digitality (TPK), and Teaching (TPACK) are presented for both competency areas and discussed, as well as in comparison to previously conducted, subject-unspecific surveys. |
Freie Schlagworte: | Technological Pedagogical Content Knowledge, science education, student teachers, self-report measure |
Status: | Verlagsversion |
URN: | urn:nbn:de:tuda-tuprints-200734 |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 300 Sozialwissenschaften > 370 Erziehung, Schul- und Bildungswesen 500 Naturwissenschaften und Mathematik > 530 Physik 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie |
Fachbereich(e)/-gebiet(e): | 05 Fachbereich Physik 05 Fachbereich Physik > Didaktik der Physik |
Hinterlegungsdatum: | 29 Apr 2022 08:55 |
Letzte Änderung: | 02 Mai 2022 10:03 |
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