2026-10-08T14:58:51Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33426790 2026-09-28T16:38:47Z category_29050 category_26146 item_type_3 month_year_09_2026

Making Computer Science Feel Possible, but Not Yet Teachable: What Pre-Service Primary Teachers Value in CS Role Models Katharina Geldreich (24703723) Isabella Graßl (14350161) Computing education Primary education Computing Education Research Primary Education Role Models <h2 dir="ltr">Replication package</h2><p dir="ltr">This replication package accompanies the paper:<br><b>Making Computer Science Feel Possible, but Not Yet Teachable: What Pre-Service Primary Teachers Value in CS Role Models</b></p><p dir="ltr"><br>The package contains the materials required to document and reproduce the core analyses reported in the paper:</p><p><br></p><ul><li>the complete German questionnaire administered in 2026;</li><li>an English translation of the questionnaire for documentation and replication purposes;</li><li>the LimeSurvey survey-structure export, including the questionnaire logic and branching conditions;</li><li>a de-identified quantitative analysis dataset containing 281 submitted responses;</li><li>an item mapping linking the full questionnaire to the study-specific item labels used in the paper;</li><li>a de-identified qualitative coding file containing the codebook, coded indicators, and aggregate qualitative summaries;</li><li>a paper-focused Python script for the core quantitative analyses;</li><li>the required Python packages and analysis instructions; and</li><li>the generated quantitative analysis results.</li></ul><p dir="ltr">The survey was administered in German. The English questionnaire is provided as a documentation translation and was not administered to participants.</p><p dir="ltr">The quantitative dataset excludes LimeSurvey response IDs, timestamps, random seeds, personal follow-up codes, and free-text responses. The qualitative file excludes verbatim participant responses, demographic information, and author memos.</p><p dir="ltr">The Python script reproduces the core quantitative analyses reported in the paper, including the RQ1 Mann–Whitney U comparisons, the exploratory chi-square analysis, the RQ2 Kruskal–Wallis comparisons, the Spearman correlations with Bonferroni adjustment, the descriptive partial correlations, and the family-contact analysis.</p><p dir="ltr">To run the quantitative analysis, install the required Python packages listed in `quantitative_analysis/requirements.txt` and execute:<br>```bash<br>python rolemodel_analysis_paper.py</p> 2026-09-28T16:38:47Z Dataset Dataset 10.6084/m9.figshare.33426790.v2 https://figshare.com/articles/dataset/Making_Computer_Science_Feel_Possible_but_Not_Yet_Teachable_What_Pre-Service_Primary_Teachers_Value_in_CS_Role_Models/33426790 CC BY 4.0