Back to search

Article

A Hybrid LLM and RAG Framework for Generating Questions Aligned with Bloom’s Taxonomy

2026-05-06

Abstract excerpt

<title>Abstract</title> <p>In today’s educational paradigm, automated question generation plays a pivotal role as it helps in scalable material production, continuous testing, and personalized learning. However, the task of generating academically relevant questions, which are also categorized according to the different levels of cognitive Bloom’s taxonomy, remains a challenge. Although state-of-the-art LLM-based...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8b51e329-7e41-591b-854c-573edac2bb5c
DOI
10.21203/rs.3.rs-9162087/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Hybrid LLM and RAG Framework for Generating Questions Aligned with Bloom’s TaxonomyDOI 10.21203/rs.3.rs-9162087/v1
Select a neighboring publication to make it the new centre.