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Investigating the Adoption of Machine Translation in Foreign Language Learning: The Instructors’ Perspective

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Emerging Technologies for Education (SETE 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14606))

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Abstract

Advances in machine translation brought by the use of artificial neural networks and large language models are giving impetus to research and studies on its possible use for educational purposes. In this paper we contribute to the investigation about how this technology can be used to support language learning, particularly, taking into account the instructors’ perspective. Building upon the state of the art in this field, we first conducted an experimental evaluation of machine translation quality and then a survey with language teachers and assistants on their perception of machine translation quality, their opinion about machine translation, and its use in educational activities, with the aim to investigate at what extent this emerging technology can support language learning and possibly be integrated into didactic practices.

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Notes

  1. 1.

    https://forms.gle/1VP3wrEc5sWhhrWX9.

  2. 2.

    https://github.com/teldh/MT.

  3. 3.

    https://github.com/teldh/MT.

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Author information

Authors and Affiliations

  1. COASIT, Melbourne, Australia

    Giada Pantana

  2. University of Genoa, Genoa, Italy

    Giada Pantana & Ilaria Torre

Authors
  1. Giada Pantana
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  2. Ilaria Torre
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Corresponding author

Correspondence to Giada Pantana .

Editor information

Editors and Affiliations

  1. Comenius University, Bratislava, Slovakia

    Zuzana Kubincová

  2. South China Normal University, Guangzhou, China

    Tianyong Hao

  3. University of Salerno, Fisciano, Italy

    Nicola Capuano

  4. Sapienza University of Rome, Rome, Italy

    Marco Temperini

  5. Guangdong University of Foreign Studies, Guangzhou, China

    Shili Ge

  6. Chaohu University, Hefei, China

    Yuanyuan Mu

  7. LUMSA University, Rome, Italy

    Paolo Fantozzi

  8. Zhejiang University, Hangzhou, China

    Jing Yang

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Pantana, G., Torre, I. (2024). Investigating the Adoption of Machine Translation in Foreign Language Learning: The Instructors’ Perspective. In: Kubincová, Z., et al. Emerging Technologies for Education. SETE 2023. Lecture Notes in Computer Science, vol 14606. Springer, Singapore. https://doi.org/10.1007/978-981-97-4243-1_4

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  • DOI: https://doi.org/10.1007/978-981-97-4243-1_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-4242-4

  • Online ISBN: 978-981-97-4243-1

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