Pendampingan Penguatan Literasi Bahasa Inggris Anak melalui “Multiple Stories-Reading”

Nuna Mustikawati Dewi, Lulut Widyaningrum

Abstract


English as an international language is needed for community to socialize each other. That is why learning English is important, formal and informal, for young learners to achieve the target of learning English in accordance with curriculum demands. For this reason, it is necessary to apply joyful learning for young learners. Multiple Stories-reading is one of the great methodsto be implemented through several stages: stimuli through novel words, stories and illustrations, followed by story exposure (story reading and listening), Animation task (integration of new words), Phonological recall and Definition of words. This community service in Jatisari village, Mijen Semarang, was aimed  to help the young learners, to improve their English language skills by strengthening English literacy through multiple stories-reading. It was preceded by observation, and the implementation of this method was carried out by socialization, the preparation stage, and the implementation phase. The results of the application method were as followed:  they got new vocabulary from various kinds of stories, and obtained directly by them through transferring ideas, values, characters, good-bad and ideologies.

 

Bahasa Inggris sebagai salah satu bahasa internasional diperlukan dalam masyarakat untuk saling bersosialisasi. Oleh karena itulah diperlukan pembelajaran yang baik, formal dan informal, sejak anak-anak agar tercapai target pembelajaran bahasa Inggris sesuai dengan tuntutan kurikulumm. Untuk itulah diperlukan penerapan pembelajaran yang menyenangkan untuk anak-anak (young learners). Multiple Stories-reading merupakan salah astu metode yang bisa diterapkan untuk anak-anak melalui beberapa tahapan yaitu: stimuli melalui novel words, stories dan ilustrasi, dilanjutkan dengan story exposure (pembacaan cerita dan anak-anak mendengarkan), animasi task (integrasi kata-kata baru yang didengar), dan phonological recall (pengulangan cara membaca), serta definisi kata-kata. Pengabdian kepada masyarakat di desa Jatisari, Mijen Semarang, bertujuan untuk membantu masyarakat, khususnya anak-anak dalam rangka meningkatkan kemampuan berbahasa Inggris dengan penguatan literasi Bahasa Inggris melalui ‘multiple stories-reading. Dengan didahului dengan observasi, implementasi metode ini dilaksanakan dengan diawali dengan sosialisasi, tahap persiapan, dan tahap pelaksanaan. Hasil dari penerapan metode ini antara lain; anak-anak mendapatkan kosa-kata baru dari berbagai macam cerita, dengan diperoleh langsung oleh mereka melalui transfer ide, nilai, karakter, baik-buruk dan ideologi.


Keywords


literasi, multiple stories-reading, anak-anak

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DOI: http://dx.doi.org/10.21580/dms.2018.181.2918

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Copyright (c) 2018 Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan

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:image/gif;base64,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