CCSA: Interviews with experts in the field of secondary school education, Switzerland (2025)

Ref. 3094

  

Datensatzübersicht

Datensatz-Titel

CCSA: Interviews with experts in the field of secondary school education, Switzerland (2025)

Kanonischer DOI

Ermöglicht das Zitieren des gesamten Datensatzes, unabhängig von Versionen.

https://doi.org/10.48573/vkx6-m144

DOI

Ermöglicht das Zitieren einer spezifischen Datensatzversion.

https://doi.org/10.48573/z80m-9c74

Sprache der Datensatzbeschreibung

Englisch

Datensatz URL

-

Verfügbarkeit der Daten

-

Datensatzbeschreibung

This dataset is the transcripts collection (n=5) of experts’ interviews conducted during the Cross-cutting Skills Assessment in Secondary School Practice (CCSA) Study 2024-2025. All the participants are experts in the field of secondary school education and assessment in Switzerland (e.g., researchers, educators of the pedagogical institutions, or in-service training courses for teachers). Interviews were conducted in German; transcripts are reproduced in the original language, without translation. Metadata of the interviews, such as interview code, date, duration, location, and interviewer ID, is provided at the beginning of each transcript. The interview audio files were transcribed using the noScribe software, with the following manual editing and formatting. The data from semi-structured interviews underwent an extensive anonymization procedure. This means that any information that could be used to identify the interviewee was removed from the transcripts, with an indication of the nature of the replaced information (e.g., place of work, name, project name).

Bemerkungen zur Dokumentation

For information about data collection and data structure, please refer to the Study Description Document.

Versionsnummer

1.0

Enddatum des Embargos

-

Publikationsdatum

31.10.2025

Hinweise zur Version

Version 1.0

Bibliografische Zitierung

Hryvko, A. (2025). CCSA: Interviews with experts in the field of secondary school education, Switzerland (2025) (Version 1.0) [Data set]. FORS. https://doi.org/10.48573/z80m-9c74

MD5-Hash des DIP

86d90e74e1fe1804bea5dacbee37d3c3

Inhalt des Datensatzes

/
metadata.yaml