Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Convergence Technologies by a Long-term Case Study on Telepresence Robot-assisted Learning

텔레프리젠스 로봇보조학습 사례 연구를 통한 융합기술

  • Lim, Mi-Suk (Division of Convergence Computer & Media, Mokwon University) ;
  • Han, Jeong-Hye (Dept. of Computer Education, Cheongju National University of Education)
  • 임미숙 (목원대학교 융합컴퓨터.미디어학부) ;
  • 한정혜 (청주교육대학교 컴퓨터교육과)
  • Received : 2019.05.21
  • Accepted : 2019.07.20
  • Published : 2019.07.29
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Abstract

The purpose of this paper is aimed to derive suggestions for convergence technology for effective management of distance education by analyzing a long-term case. The experiment was designed with notebook, smartphone or tablet based robot controlled by a remote instructor and a learner, who have experience of distance learning including robot assisted learning. The tablet based robot has the display system of feedback to speakers. During five months, three types of experiments were conducted randomly and a participant was interviewed thoroughly. The result, like the previous research, demonstrates that the task performance of the learner in telepresence robot-assisted learning was better than that in the notebook, and smartphone based. However, it is believed to be necessary to adjust the system for eye-contact and voice transmission for the remote instructor. The instructor required an additional sight by supplementing an extra camera and automatic direction control to source of sound.

이 논문은 개인 대상으로 장기간의 원격영상 교육을 실시한 사례를 분석함으로써, 효과적인 운영을 위한 융합기술에 대한 제언을 도출하는 것을 목적으로 한다. 로봇보조학습을 포함한 원격영상교육 경험이 있는 교수학습자를 대상으로 텔레프리젠스를 노트북, 스마트폰 로봇, 그리고 음성인식 피드백이 제공되도록 제작한 패드형 로봇으로 실험 설계하여 5개월간 원격수업 방식에 임의할당을 통해 진행하고, 과제 수행도를 측정함과 동시에 심층 인터뷰를 실시하였다. 학습자는 기존 연구와 마찬가지로 텔레프리젠스 로봇보조학습의 과제수행도가 가장 높은 것으로 나타났지만, 학습의 몰입도와 집중을 위하여 음성송출 피드백 외에 원격교수자와의 시선 맞춤이 필요하다고 생각했다. 원격 교수자는 원격교육의 영상입력 추가와 음원추적 자동 제어 기능을 요구했다.

Keywords

JKOHBZ_2019_v9n7_106_f0001.png 이미지

Fig. 1. The experimental scenes

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Fig. 2. The experimental robot made of KUBI and app

Table 1. Averages & STDEV of the learner’s performances

JKOHBZ_2019_v9n7_106_t0001.png 이미지

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