Reproducibility package for a classroom study on Human–Generative AI interaction in programming education
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2026
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| _version_ | 1866902110668324864 |
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| author | Kleban, Yurii |
| author_facet | Kleban, Yurii |
| contents | <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">This repository contains the reproducible research package for a within-subject study of student programming task performance under three AI interaction modes: No AI, AI Tutor, and Direct AI. The materials include Python notebooks, shared analysis code, configuration files, survey instruments, processed statistical outputs, and publication-ready figures.</p> <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">The workflow reproduces the full analysis pipeline from raw survey data to interim datasets, processed analysis tables, statistical tests, effect-size estimates, and final article figures. The notebooks are organized in numerical order and cover configuration validation, student-level and task-level data preparation, descriptive table generation, inferential statistics, Wilcoxon signed-rank effect sizes, and visualization output.</p> <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">Raw data for the study are archived separately on Zenodo: <a class="group/inline-mention cursor-pointer" href="https://doi.org/10.5281/zenodo.20364465" rel="noopener noreferrer"><span class="px-0.5 inline-mention-brand-aware font-medium text-[color:var(--inline-mention-color)] [--inline-mention-color:var(--inline-mention-resolved-base-color,var(--inline-mention-base-color))] [--inline-mention-base-color:color-mix(in_srgb,var(--color-token-text-link-foreground)_80%,var(--color-token-foreground)_20%)] group-hover/inline-mention:underline group-hover/inline-mention:decoration-current group-hover/inline-mention:decoration-dashed group-hover/inline-mention:decoration-[0.5px] group-hover/inline-mention:underline-offset-2 whitespace-nowrap"><span class="break-words whitespace-normal">https://doi.org/10.5281/zenodo.20364465</span></span></a></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20367559 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Reproducibility package for a classroom study on Human–Generative AI interaction in programming education Kleban, Yurii reproducible research AI in education programming education generative AI AI tutor direct AI use student performance within-subject experiment learning analytics computer science education programming tasks Wilcoxon signed-rank test Friedman test effect sizes rank-biserial correlation Cohen's dz Python Jupyter notebooks data analysis publication figures <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">This repository contains the reproducible research package for a within-subject study of student programming task performance under three AI interaction modes: No AI, AI Tutor, and Direct AI. The materials include Python notebooks, shared analysis code, configuration files, survey instruments, processed statistical outputs, and publication-ready figures.</p> <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">The workflow reproduces the full analysis pipeline from raw survey data to interim datasets, processed analysis tables, statistical tests, effect-size estimates, and final article figures. The notebooks are organized in numerical order and cover configuration validation, student-level and task-level data preparation, descriptive table generation, inferential statistics, Wilcoxon signed-rank effect sizes, and visualization output.</p> <p class="text-size-chat leading-[calc(var(--codex-chat-font-size)+8px)] extension:leading-normal my-2">Raw data for the study are archived separately on Zenodo: <a class="group/inline-mention cursor-pointer" href="https://doi.org/10.5281/zenodo.20364465" rel="noopener noreferrer"><span class="px-0.5 inline-mention-brand-aware font-medium text-[color:var(--inline-mention-color)] [--inline-mention-color:var(--inline-mention-resolved-base-color,var(--inline-mention-base-color))] [--inline-mention-base-color:color-mix(in_srgb,var(--color-token-text-link-foreground)_80%,var(--color-token-foreground)_20%)] group-hover/inline-mention:underline group-hover/inline-mention:decoration-current group-hover/inline-mention:decoration-dashed group-hover/inline-mention:decoration-[0.5px] group-hover/inline-mention:underline-offset-2 whitespace-nowrap"><span class="break-words whitespace-normal">https://doi.org/10.5281/zenodo.20364465</span></span></a></p> |
| title | Reproducibility package for a classroom study on Human–Generative AI interaction in programming education |
| topic | reproducible research AI in education programming education generative AI AI tutor direct AI use student performance within-subject experiment learning analytics computer science education programming tasks Wilcoxon signed-rank test Friedman test effect sizes rank-biserial correlation Cohen's dz Python Jupyter notebooks data analysis publication figures |
| url | https://doi.org/10.5281/zenodo.20367559 |