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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Using Learning Analytics to Understand the Design of an Intelligent Language Tutor – Chatbot Lucy

Author 1: Yi Fei Wang Author 2: Stephen Petrina
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 11 · Published 2013 · Cited by 90

DOI: https://doi.org/10.14569/IJACSA.2013.041117

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Abstract

the goal of this article is to explore how learning analytics can be used to predict and advise the design of an intelligent language tutor, chatbot Lucy. With its focus on using student-produced data to understand the design of Lucy to assist English language learning, this research can be a valuable component for language-learning designers to improve second language acquisition. In this article, we present students’ learning journey and data trails, the chatting log architecture and resultant applications to the design of language learning systems.

Keywords

learning analytics intelligent tutor chatbot second language acquisition learning design

How to Cite this Article

Wang, Y. F., & Petrina, S. (2013). Using Learning Analytics to Understand the Design of an Intelligent Language Tutor – Chatbot Lucy. International Journal of Advanced Computer Science and Applications, 4(11). https://doi.org/10.14569/IJACSA.2013.041117

Wang, Yi Fei, and Stephen Petrina. "Using Learning Analytics to Understand the Design of an Intelligent Language Tutor – Chatbot Lucy." International Journal of Advanced Computer Science and Applications, vol. 4, no. 11, 2013, https://doi.org/10.14569/IJACSA.2013.041117.

@article{Wang2013,
  title     = {Using Learning Analytics to Understand the Design of an Intelligent Language Tutor – Chatbot Lucy},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {11},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Yi Fei Wang and Stephen Petrina},
  doi       = {10.14569/IJACSA.2013.041117},
  url       = {https://doi.org/10.14569/IJACSA.2013.041117}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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