Dan Song
Author directory2026
Evaluating Score Dependability in ChatGPT-Supported AP Chinese Speaking Tasks
Dan Song | Won-Chan Lee
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
Dan Song | Won-Chan Lee
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
This study applied generalizability theory to examine score variation and dependability in AP Chinese speaking tasks completed with and without ChatGPT support. Although ChatGPT-supported tasks were associated with higher scores, the NoGPT condition consistently exhibited higher dependability coefficients. Increasing the numbers of tasks and raters further improved score dependability.