@phdthesis{oai:doshisha.repo.nii.ac.jp:00001569,
 author = {Khalifa, AlBara Jamal},
 month = {2019-10-11},
 note = {This dissertation presents the design of a novel joining-in-type humanoid robot-assisted language learning that uses two robots to conduct a goal-oriented conversation with the human learner to practice English as a second language. The system uses implicit learning as the main learning style to teach the usage of a specific expression form. A mix of tutoring and peer learning is implemented in the course of a three-party conversation. This learning style enables the learner to gain linguistic knowledge, and at the same time it improves the performance of the speech recognition engine., application/pdf},
 title = {Research on dialogue-based CALL integrating tutoring and implicit learning : the design of an automatic joining-in type robot assisted language learning},
 year = {}
}