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Friday, August 14 • 3:35pm - 4:00pm
Blended Learning of Extensive Graded Reading and Data-driven Learning

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Applying usage-based theory of language acquisition (Tomasello, 2003) to extensive graded reading, learners will construct their linguistic knowledge based on the type and token frequency of words and lexical chunks they encounter while reading the graded texts. In order to efficiently and effectively enhance such item-based and bottom-up language learning through extensive graded reading, this paper presents a data-driven learning (DDL) system on the Internet utilizing the Oxford Bookworms (OBW) library corpus consisting of 10 books from levels 1 to 6. The graded OBW corpus will enable learners to choose which level of the OBW corpus is appropriate to their current English levels and like a lexicographer studies language, they can study the language of the OBW text.

Taking synonyms “say”, “speak”, “talk”, and “tell” as examples, detailed description of students procedures of the DDL are shown. While learners were reading the OBW books extensively outside the class, learners “observe” the meanings and the use of the four utterance words in the OBW corpus, formulating a “hypothesis” based on the observation, and “restructure” their perceptions about the four utterance words. In order to examine the educational effects of the extensive reading class incorporating the DDL, a test which made them choose the right word from among the four utterance words was given at the beginning and at the end of the semester. The growth rate of the scores at the end of the semester more than doubled from the beginning of the semester. The result is also examined qualitatively based on their reflective reports submitted at the end of the semester in terms of how their perceptions about the four utterance words changed and how the perception change made them appreciate the stories more deeply when they read the OBW books.

Speakers
KM

Kunitaro Mizuno

Fukuoka Prefectural University


Friday August 14, 2015 3:35pm - 4:00pm
William James B1 33 Kirkland St Cambridge, MA