Cyber University of Korea

Validating LLM-Generated Expert Judgments in AHP Decision Support: A Preregistered Cross-Study Benchmark and Randomized-Order Audit

Large language models (LLMs) are entering decision-support systems as inexpensive synthetic experts, yet their judgments are rarely validated against published human targets. We benchmark six LLMs on a source-audited corpus of 27 published Analytic Hierarchy Process (AHP) studies...

Analysing Korean children's speech data for early childhood educational services: age-specific insights from text and audio analysis

Abstract As speech-based artificial intelligence (AI) becomes integrated into educational contexts, attention is growing towards its role in supporting child-centred learning environments. This study offers insights for developing child-friendly conversational AI systems by analy...