AA_knowledge_test

The dataset contains a six items test concerning basic knowledge on computerized adaptive assessment.
This test has been developed during the creation of this R package.

datasets

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).

Andrea Brancaccio

mycaas

My Computerized Adaptive Assessment

Umberto Granziol

AA_knowledge_test function

A assessment object based on six multiple choice items.<dl>
<dt>states</dt>
<dd>Structure with six items and twelve states.</dd><dt>likelihood</dt>
<dd>Uniformly distributed across the states.</dd><dt>Stopping_rule</dt>
<dd>The stopping rules is "likelihood_maximization" with a criterion of .5.</dd><dt>Question</dt>
<dd>Six multiple choice items.</dd><dt>adaptive</dt>
<dd>The value is set on TRUE allowing adaptive administration.</dd><dt>repetition</dt>
<dd>The value is set on FALSE not allowing items repetition.</dd>
</dl>

Format

Example of a test to showcase the Adaptive Assessment tools — AA_knowledge_test

A assessment object based on six multiple choice items.<dl>
<dt>states</dt>
<dd>Structure with six items and twelve states.</dd>

<dt>likelihood</dt>
<dd>Uniformly distributed across the states.</dd>

<dt>Stopping_rule</dt>
<dd>The stopping rules is "likelihood_maximization" with a criterion of .5.</dd>

<dt>Question</dt>
<dd>Six multiple choice items.</dd>

<dt>adaptive</dt>
<dd>The value is set on TRUE allowing adaptive administration.</dd>

<dt>repetition</dt>
<dd>The value is set on FALSE not allowing items repetition.</dd>


</dl>

AA_knowledge_test: Example of a test to showcase the Adaptive Assessment tools

Description

Usage

Arguments

Format

Examples