Realizing Adaptive Questions and Answers for ICALL Systems

Language training systems that provide learners adaptive questions on the contents of stories require several capabilities such as semantic analysis, automated question generation and diagnosis of learners' answer sentences. This paper presents a method of selecting questions from a generated list to realize adaptive questions and answers. Our method filters out similar questions, and then selects questions by considering the difficulty, types and order. This paper also describes an evaluation of our method. As the result of our experiment demonstrates, we have found that our method generates a viable series of questions.

• Type: Conference
• Year: 2005
• Where: AIED
• Authors: Hidenobu Kunichika, Minoru Urushima, Tsukasa Hirashima, Akira Takeuchi
• Keywords: Adaptive Questions, AIED 2005, Artificial Intelligence, Learners Adaptive Questions, Similar Questions