Date
Publisher
arXiv
This paper focuses on AI tutors in foreign language learning, a field of
application of AI tutors with great development, especially during the last
years, when great advances in natural language understanding and processing in
real time, have been achieved. These tutors attempt to address needs for
improving language skills (speaking, or communicative competence,
understanding). In this paper, a mixed-methos empirical study on the use of
different kinds of state-of-the-art AI tutors for language learning is
reported. This study involves a user experience evaluation of typical such
tools, with special focus in their conversation functionality and an evaluation
of their quality, based on chat transcripts. This study can help establish
criteria for assessing the quality of such systems and inform the design of
future tools, including concerns about data privacy and secure handling of
learner information.
What is the application?
Who is the user?
Who age?
Study design
