Object-Oriented Context Description for Movie Based Context-Aware Language Learning
2018
Context-aware ubiquitous learning is a promising
way to learn languages; however, it requires developers and
operators of much effort to construct, deploy, and use the
specialized system. As its alternative, this paper proposes movie
based context-aware language learning (MBCALL) that enables
learners to learn languages through quizzes generated along
virtual contexts occurring in the movie to be replayed. Since
full automatic context capturing from the movie is impossible,
the authors define an object-oriented context model (OOCM)
and also a textual context description language subject to the
OOCM to describe the movie context easily by human work.
The OOCM introduces the case grammar concept of natural
language processing. This enables quiz generation based on types
of the words for objects, actions, and modes found in the movie.
Evaluation with a small movie by three subjects shows that the
OOCM can guide them to enrich information included in the
movie context; therefore, we can generate more types of quizzes
based on the movie context.
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