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ETAR: An English Teaching Assistant Robot and Its Effects on College Freshmen’s In-Class Learning Motivation

  • Wei-Wei Shen
  • Ming-Hsiu Michelle Tsai
  • Guan-Chen Wei
  • Chen-Yu Lin
  • Jim-Min LinEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11937)

Abstract

Educational robots have become popular and mature in lots of Robot-Assisted Language Learning (RALL) applications in recent years. This paper reports the development of an English Teaching Assistant Robot (ETAR) and its effects on in-class English learning motivation for the first-year university students in Taiwan. The study uses the social robot NAO, with voice and interactive functions, as a classroom assistant to help teachers to train students’ spoken English in the classroom, including single-word and text reading aloud practice, sing-a-song as well as rollcall in class. After a six-week experiment, the results show that the introduction of the ETAR to the freshman English class improved students’ English learning motivation. Moreover, the teachers’ burden of some fixed mechanical work such as rollcall, word pronunciation, and text reading aloud practice can be reduced, and then teachers can have more energy to take care of more low learning-achievement students.

Keywords

English as Foreign Language (EFL) Robot-Assisted Language Learning (RALL) English Teaching Assistant Robot (ETAR) Learning motivation 

Notes

Acknowledgment

The authors would like to thank the Ministry of Science and Technology, Taiwan, R.O.C. for the financial support under the Grant numbers MOST106-2511-S-035-003-MY2 and MOST108-2511-H-035-002-MY2.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Foreign Languages and LiteratureFeng Chia UniversityTaichung CityTaiwan
  2. 2.Department of Information Engineering and Computer ScienceFeng Chia UniversityTaichung CityTaiwan

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