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.
Study at a glance
- Question: How do users experience conversational AI tutors for foreign language learning, and how good is their conversational quality?
- Setting and data: Not stated in the abstract
- Method: User experience evaluation and chat transcript analysis (mixed-methods)
Why it matters
AI tutors attempt to address needs for improving foreign language skills like speaking and communicative competence. With advances in real-time language processing, concerns remain regarding their conversational quality and the secure handling of learner information.
Key findings
- In foreign language learning, conversational AI tutors target students' communicative competence, speaking abilities, and language understanding.
- Recent advances in natural language processing enable AI tutors to understand and process learner language in real time.
- Quality and user experience evaluations of AI language tutors highlighted concerns regarding student data privacy and secure information handling.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Study design
