Collaborative Language Learning for Professional Adults

Linda Joy Mesh
pp. 42-47 – download
(https://doi.org/10.55612/s-5002-007_8-007)

Abstract

Sustainable support for educational development using new technologies in higher education depends on having a basic roadmap that links current demands for developmental support to a plan for ways in which longer term needs will be recognized and met. The growing demand for lifelong learning of a second language is evident within the workplace where new technologies offer flexible solutions. In order to meet the special needs of working adults, the University of Siena Language Center (CLA) has developed a multiple-level series of blended English courses from beginner to intermediate level for both university technical-administrative personnel and the hospital staff of the Azienda Ospedaliera Universitaria Senese (AOUS). The pedagogical approach takes into consideration both the needs of adults who are working full-time and the aims of the curriculum, which are to develop the four linguistic abilities of reading, writing, listening and speaking up to the Common European Framework of Reference (CEFR) Level B1. Taking into consideration a constructive use of both teaching hours and classrooms, as well as the limited time available to adult learners, a blended approach was chosen. The face-to-face (f2f) lessons provide activities concentrating on the development of speaking and listening skills. The online lessons provide a collaborative workspace for interaction in the second language and present a flexible solution for working adults who can structure their study time when and where it is most convenient. This paper will attempt to draw several conclusions regarding the effectiveness of blending approaches for lifelong learning of a second language based on both learner and teacher interviews as well as quantitative and qualitative data collection through questionnaires and end of course evaluation.

keywords: lifelong learning, learning community, connectedness, blended learning, CMC

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