Educational Question Generation (YouLeQD)

This study introduces the YouTube Learners' Questions on Bloom's Taxonomy Dataset (YouLeQD), which compiles questions posed by learners in YouTube lecture video comments. The research develops two RoBERTa-based classification models that utilize Large Language Models to identify questions and assess their cognitive complexity according to Bloom's Taxonomy. By analyzing the cognitive complexity of learner-posed questions and their interaction metrics, the study provides valuable insights for developing AI models for education.

This study introduces the YouTube Learners’ Questions on Bloom’s Taxonomy Dataset (YouLeQD), which compiles questions posed by learners in YouTube lecture video comments.

The research develops two RoBERTa-based classification models that utilize Large Language Models to identify questions and assess their cognitive complexity according to Bloom’s Taxonomy. By analyzing the cognitive complexity of learner-posed questions and their interaction metrics, the study provides valuable insights for developing AI models for education.

Team: Nong Ming, Sachin Sharma, Dr. Jiho Noh

Funding: Interdisciplinary Seed Grant, Kennesaw State University

Code: github.com/YesNLP/QYTL

Paper: IEEE ICSC 2025