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

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Dataset Overview

Dataset title

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

Canonical DOI

Used to cite the entire dataset, regardless of version updates.

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

DOI

Used to cite a specific dataset version.

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

Dataset description language

English

Data URL

-

Data Availability

-

Dataset Description

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).

Remarks about the documentation

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

Version number

1.0

Embargo end date

-

Publication date

31.10.2025

Version notes

Version 1.0

Bibliographical citation

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

DIP MD5 hash

86d90e74e1fe1804bea5dacbee37d3c3

Dataset contents

/
metadata.yaml