Package: mycaas 0.0.1
mycaas: My Computerized Adaptive Assessment
Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST) and Formal Psychological Assessment (FPA) frameworks. An adaptive assessment is a type of evaluation that adjusts the difficulty and nature of subsequent questions based on the test-taker's responses to previous ones. The package contains functions to perform and simulate an adaptive assessment. Moreover, it is integrated with two 'Shiny' interfaces, making it both accessible and user-friendly. The package has been funded by the European Union - NextGenerationEU and by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project “RAISE - Robotics and AI for Socio-economic Empowerment” (ECS00000035).
Authors:
mycaas_0.0.1.tar.gz
mycaas_0.0.1.zip(r-4.5)mycaas_0.0.1.zip(r-4.4)mycaas_0.0.1.zip(r-4.3)
mycaas_0.0.1.tgz(r-4.4-any)mycaas_0.0.1.tgz(r-4.3-any)
mycaas_0.0.1.tar.gz(r-4.5-noble)mycaas_0.0.1.tar.gz(r-4.4-noble)
mycaas_0.0.1.tgz(r-4.4-emscripten)mycaas_0.0.1.tgz(r-4.3-emscripten)
mycaas.pdf |mycaas.html✨
mycaas/json (API)
NEWS
# Install 'mycaas' in R: |
install.packages('mycaas', repos = c('https://brancaccioandrea.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/brancaccioandrea/mycaas/issues
- AA_knowledge_test - Example of a test to showcase the Adaptive Assessment tools
Last updated 2 months agofrom:dc30358822. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | NOTE | Nov 12 2024 |
R-4.5-linux | NOTE | Nov 12 2024 |
R-4.4-win | NOTE | Nov 12 2024 |
R-4.4-mac | NOTE | Nov 12 2024 |
R-4.3-win | NOTE | Nov 12 2024 |
R-4.3-mac | NOTE | Nov 12 2024 |
Exports:assessmenthalf_splitperformance_simulationplot.assessmentprint_questionrun_Assessmentrun_Practicestopping_criterionsummary.assessmentupdating
Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcppRcppParallelrlangrPrefsassscalesshinysourcetoolstibbletidyselectutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example of a test to showcase the Adaptive Assessment tools | AA_knowledge_test |
Assessment function | assessment |
Questioning rule (half split) | half_split |
Performance indexes | performance_simulation |
Plot (Method) | plot.assessment |
Print the question | print_question |
run Assessment shinyApp | run_Assessment |
run Practice Assessment shinyApp | run_Practice |
Stopping rule | stopping_criterion |
Summary (Method) | summary.assessment |
Updating rules | updating |