Proficiency and Preference Using Local Language with a Teachable Agent
With a teachable agent system and a set of linguistically diverse comparison prototypes, we explore questions of proficiency with and preference for local language agents in two sites in the Philippines. We found that students in a higher-performing school produce more English-language math explanations at a faster rate than students in a lower-performing school, who were more proficient in their local language. However, these students preferred the English-language agent, while students in the higher-performing school had equal preference for agents who communicates in the local language. These findings demonstrate the complex interactions between language and engagement in AIED systems.
Ogan A., Yarzebinski E., De Roock R., Dumdumaya C., Banawan M., Rodrigo M.M. (2017) Proficiency and Preference Using Local Language with a Teachable Agent. In: André E., Baker R., Hu X., Rodrigo M., du Boulay B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science, vol 10331. Springer, Cham