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Computer-Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with non-native speech that is particularly challenging.
The increasing demand for innovative applications that support language learning has led to a growing interest in Computer-Assisted Language Learning (CALL) systems that make use of ASR technology.
Although Computer-Assisted Language Learning (CALL) provides EFL (English as a Foreign Language) students a dynamic environment for English learning, many courses in current markets still emphasize the presentation of domain knowledge but neglect how the students truly interact with the lessons.
Fors builds on existing work (Green 1998; Ihde 2002; Dall'Alba and Barnacle 2005; Richardson 2007; Moores 2012) to point out: 'new media-based orders of learning call for a deeper understanding of the whole body's association in and with digital technologies beyond more logo-centric, print-based, and ocular-centric ideas of learning'.
This system was designed to be part of the EduSpeak® computer-assisted language learning (CALL) software.
This paper provides examples of student modeling techniques that have been employed in computer-assisted language learning (CALL) over the past decade.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com