Use of Machine Learning in a Transnational Higher Education Institution

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Since 2016, machine translation (MT) systems have increased greatly in their accuracy and have become a commonly used technology for many studying, working, and living in multi-lingual environments. Students and instructors at transnational higher education (TNHE) provider institutions are very likely to use such software: students study in the language of the TNHE host institutions and instructors, whether they are natives or foreigners in the provider country, often need to engage with speakers of different languages and locate research and teaching materials in foreign languages. However, there has yet to be any significant study of MT usage at TNHE institutions. Therefore, this project will interview and survey students and instructors across disciplines at XJTLU to determine how and why they use MT and to discover their views and attitudes about benefits, drawbacks, and ethics of MT usage.