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Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST, Doignon & Falmagne, 1999 <ISBN:9783540645016>) and Formal Psychological Assessment (FPA, Spoto, Stefanutti & Vidotto, 2010 <doi:10.3758/BRM.42.1.342>) 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 partially 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).
Version: | 0.0.1 |
Depends: | R (≥ 2.10) |
Imports: | ggplot2, graphics, grDevices, igraph, methods, rlang, rPref, shiny, stats |
Suggests: | pks, spelling, testthat (≥ 3.0.0) |
Published: | 2024-10-11 |
DOI: | 10.32614/CRAN.package.mycaas |
Author: | Andrea Brancaccio [aut, cph, cre], Umberto Granziol [aut, ctb] |
Maintainer: | Andrea Brancaccio <andreabrancaccio01 at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | mycaas results |
Reference manual: | mycaas.pdf |
Package source: | mycaas_0.0.1.tar.gz |
Windows binaries: | r-devel: mycaas_0.0.1.zip, r-release: mycaas_0.0.1.zip, r-oldrel: mycaas_0.0.1.zip |
macOS binaries: | r-release (arm64): mycaas_0.0.1.tgz, r-oldrel (arm64): mycaas_0.0.1.tgz, r-release (x86_64): mycaas_0.0.1.tgz, r-oldrel (x86_64): mycaas_0.0.1.tgz |
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