The need to improve English language learning has led to notable progress in second language research in our country. Despite this, as reported by *Eurobarómetro (2005), we are still far from reaching the communicative skills in English that characterize other European countries, which becomes even more necessary to continue promoting research on the learning and acquisition of that language . .In the context of *eneñanza, the main concern is to improve communication skills through investigations centered on oral production skills. However, there is an area that has received little interest in our educational context: non-verbal communication (*CNV). To date, the nonverbal appearances of communicative competition have been *relegated to a secondary role in foreign language teaching *curricular projects. This is due, on the one hand, to those who for a long time, and still today, have given absolute primacy to the education of the verbal system and its management and, on the other, to the fact that knowledge of non-verbal communication is scarce. and *fragmentary. However, and contrary to general belief, non-verbal communication is not simply used to *supply what is difficult for a speaker to explain with words, but it is an essential communicative component that contributes greatly to developing learning. of the second language (L2). This project focuses on the pedagogical dimension of *CNV, in learning English with the intention of responding to the existing social need to improve the process of learning communication in this language. However, currently we *carecemos of the teaching material necessary to teach *CNV in foreign language classrooms as a consequence of the lagoon existing in the field of English acquisition regarding the non-verbal component in our country. The project addresses three main lines. First, we will make audiovisual recordings among learners of English as a second language CONTEXT? These recordings will constitute a database that can be used both in the present study and in future investigations. This first step requires the creation of the appropriate software for *gesture analysis. The Computational Vision Center of the Autonomous University of Barcelona will be responsible for designing the software (*LÏNEAS FERNANDO).
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