학술논문

Research Results on System Development of the Research Project of a Self-Study System for Language Learning
Document Type
Conference
Source
2022 IEEE World Engineering Education Conference (EDUNINE) Engineering Education Conference (EDUNINE), 2022 IEEE World. :1-6 Mar, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Conferences
Learning (artificial intelligence)
Electroencephalography
Biology
Engineering education
e-Learning
Self-study System
Language Learning
Simple EEG
Java
Language
Abstract
This study proposes to develop a self-study system equipped with an artificial instructor who detects and advises learners and evaluates their language learning in a consolidated framework. Detecting the learners mean that the self-study system understands their learning conditions. In this paper, we describe the results of system development among our projects. In particular, we describe a study that detects various errors necessary for a self-study system and propose a system for efficiently collecting EEG (brain waves), which are biological information for detecting the learners.