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tutorizeR 0.4.5

CRAN resubmission

• Addressed CRAN resubmission feedback by adding DESCRIPTION references, removing \dontrun{} examples, requiring explicit output destinations for writing helpers, and moving example/vignette writes to tempdir().
• Refreshed CRAN-facing source build exclusions so local Git metadata and old check/build artifacts are not included in source archives.

tutorizeR 0.4.4

Release finalization

• Finalized JOSE-oriented reviewer artifacts and metadata alignment.
• Refreshed reproducibility and reviewer guidance docs.
• Synchronized version fields for release publication.
• Added JOSE preparation artifacts, educational use-case documentation, expanded vignettes, an example course module, publication-readiness tests, and pkgdown navigation for educational examples.
• Recentered the review branch on JOSE software-submission requirements, clarified educational evidence boundaries, added CC-BY content licensing, and replaced internal smoke-test paths with installable example workflows.
• Reworked the README as a package-facing overview and added pkgdown-oriented documentation articles for educational use cases and website maintenance.

tutorizeR 0.4.3

Release stabilization

• Prepared final JOSS/CRAN-style release workflow:
  • pinned package metadata version to 0.4.3;
  • refreshed release checklist and finalization documentation;
  • validated reproducible validation commands (R CMD build + R CMD check --as-cran --no-manual).
• Documentation and review support:
  • clarified JOSS reproducibility instructions in README;
  • added “state of the art / alternatives” context and explicit limitations in manuscript.
• Final release metadata:
  • Description, CITATION.cff, and codemeta.json aligned with 0.4.3.

tutorizeR 0.4.2

Major features

• Added reusable local question-bank support (YAML/JSON):
  • load_question_bank()
  • validate_question_bank()
  • MCQ reference chunks via {tutorizeR-mcq-ref}.
• Added pedagogical linting:
  • lint_source() with severity levels and rule codes (TRZ*).
  • strict gate via lint_strict = TRUE in tutorize().
• Added complete FR/EN i18n helper:
  • tr() and dictionary files in inst/i18n/.
• Extended conversion reports:
  • richer tutorize_report fields (sections, chunks_total, mcq_explicit, mcq_from_bank, estimated_minutes, lint_summary).
  • report export with write_tutorize_report() (JSON/YAML).
• Added preview addin:
  • launch_tutorizeR_preview_addin() with Source/Output/Diff/Lint/Logs tabs.
• Added dissemination exports:
  • export_lms_manifest() profiles: generic, canvas, moodle.
  • export_tutorial_package() opt-in scaffold generation.
• Added industrial hardening assets:
  • regression fixtures + structural snapshot-style tests.
  • stress batch test.
  • CI coverage gate for core modules (parser/transform/validation/report) set to 80%.

Compatibility

• convert_to_tutorial() and convert_folder() remain backward compatible.

tutorizeR 0.3.0

• Added canonical tutorize() API with conversion reports (tutorize_report).
• Kept backward-compatible convert_to_tutorial() wrapper.
• Added explicit validation helpers: validate_input() and validate_output().
• Reworked conversion pipeline with structured parsing and deterministic label normalization.
• Preserved narrative blocks and non-R fenced code blocks during conversion.
• Added teacher tags: skip, exercise-only, solution-only, mcq, narrative-only, locked, and hints.
• Added explicit MCQ block schema via fenced {tutorizeR-mcq} YAML blocks.
• Improved convert_folder() with per-file error handling and summary reports.
• Updated RStudio addins with option prompts.
• Added CLI script at inst/scripts/tutorizeR-cli.R.
• Added fixtures and extended test suite for Rmd/qmd core and edge scenarios.
• Added vignettes, templates, audit/release docs, and release governance scaffolding.

tutorizeR 0.1.0

• First stable release - learnr-only output.
• Preserves setup chunks.
• Optional MCQ skeletons.
• Auto-render check after generation.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.