This survey provides a comprehensive overview of AQG using LLMs, focusing on educational applications, and includes a taxonomy of question types by response openness, an analysis of AQG efforts across knowledge fields, educational levels, evaluation strategies, and difficulty control.
Roberto Oliveira, A. Hernández, M. Garbin et al.· ACM Computing Surveys· 1 citation
Test-based learning is effective in fostering knowledge retention, but manually creating assessment questions remains time-consuming and limits personalized student practice. The advent of Large Language Models (LLMs) has introduced new possibilities for Automatic Question Generation (AQG). Motivated by this context, t...
Roberto Oliveira, A. Hernández, M. Garbin et al.· ACM Computing Surveys· 0 citations
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