<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>moo-dio.r-universe.dev</title><link>https://moo-dio.r-universe.dev</link><description>Recent package updates in moo-dio</description><generator>R-universe</generator><image><url>https://github.com/moo-dio.png</url><title>R packages by moo-dio</title><link>https://moo-dio.r-universe.dev</link></image><lastBuildDate>Tue, 21 Jul 2026 19:05:27 GMT</lastBuildDate><item><title>[moo-dio] AIGRA 0.2.0</title><author>omopekunola.m@hse.ru (Moses O. Omopekunola)</author><description>Provides tools for validating, generating, reviewing,
reporting, and visualising assessment item generation
workflows. The package supports tabular item-bank templates,
item-bank validation, 'Python'-backed agentic generation
workflows, multimodal diagram generation, quality summaries,
and 'HTML' reporting. External artificial intelligence services
and related 'API' calls require user-supplied credentials and
are not called during package checks. The workflow is informed
by automatic item generation methods described by Gierl and
Haladyna (2013, ISBN:9780415897518) and evidence-centered
assessment design described by Mislevy et al. (2003)
&lt;doi:10.1002/j.2333-8504.2003.tb01908.x&gt;.</description><link>https://github.com/r-universe/moo-dio/actions/runs/29864388622</link><pubDate>Tue, 21 Jul 2026 19:05:27 GMT</pubDate><r:package>AIGRA</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://moo-dio.r-universe.dev</r:repository><r:upstream>https://github.com/MOO-DIO/AIGRA</r:upstream></item></channel></rss>