Research on dialogue-based CALL integrating tutoring and implicit learning : the design of an automatic joining-in type robot assisted language learning / 個別教示学習と潜在学習手法とを統合するCALLに関する研究 / コベツ キョウジ ガクシュウ ト センザイ ガクシュウ シュホウ トオ トウゴウ スル CALL ニカンスル ケンキュウ

Description

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. / 博士(工学) / Doctor of Philosophy in Engineering / 同志社大学 / Doshisha University

Links & Downloads

1. https://doshisha.repo.nii.ac.jp/?action=repository_uri&item_id=1569
2. http://id.nii.ac.jp/1707/00001561/
3. 理工学研究科
4. Graduate School of Science and Engineering
5. BC02544405
6. https://doshisha.repo.nii.ac.jp/?action=repository_action_common_download&item_id=1569&item_no=1&attribute_id=21&file_no=1
7. https://doshisha.repo.nii.ac.jp/?action=repository_action_common_download&item_id=1569&item_no=1&attribute_id=21&file_no=2
8. 34310甲第1042号

Tags

CALL

Robot-Assisted Language Learning (RALL)

Automatic Speech Recognition (ASR)

Automatic Grammar Classification

Implicit Learning

Interactive Alignment

Corrective Feedback

Additional Fields

Identifer	oai:union.ndltd.org:doshisha.ac.jp/oai:doshisha.repo.nii.ac.jp:00001569
Date	20 September 2019
Creators	AlBara Jamal Khalifa
Source Sets	Doshisha University
Language	English
Detected Language	English
Type	Thesis or Dissertation
Format	application/pdf
Source	https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13128125/?lang=0