Develop a Solution to Evaluate and Predict the Speakability of English Spoken Materials

• In Event: AERA Poster Session 14
  In Poster Session: Advanced Technology and Learning Poster Session

Abstract

Speaking is a crucial language skill to master for any students in learning English as a Second Language (ESL). Technology can engage students in self-paced interactions with computers to improve speaking skills. The technology potentials in enhancing speaking skills depend on how much the technology can assist and provide the ESL students with adaptive and personalized spoken materials. This study constructs the relation model between speakability difficulty of spoken materials and the complex potential factors by machine learning techniques, to develop a solution to evaluate or predict the speakability of large-scale English spoken materials that could be a critical step for the development of an adaptive and personalized learning system to practice and assessment speaking.

Authors

• Xiaoqing Gu, East China Normal University

• Chao Wang, East China Normal University