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Teaching remedial grammar through data-driven learning using AntPConc

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Teaching remedial grammar through data-driven learning using AntPConc. / Chujo, Kiyomi; Anthony, Laurence; Oghigian, Kathryn et al.
In: Taiwan International ESP Journal, Vol. 5, No. 2, 2013, p. 65-90.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chujo, K, Anthony, L, Oghigian, K & Yokota, K 2013, 'Teaching remedial grammar through data-driven learning using AntPConc', Taiwan International ESP Journal, vol. 5, no. 2, pp. 65-90.

APA

Chujo, K., Anthony, L., Oghigian, K., & Yokota, K. (2013). Teaching remedial grammar through data-driven learning using AntPConc. Taiwan International ESP Journal, 5(2), 65-90.

Vancouver

Chujo K, Anthony L, Oghigian K, Yokota K. Teaching remedial grammar through data-driven learning using AntPConc. Taiwan International ESP Journal. 2013;5(2):65-90.

Author

Chujo, Kiyomi ; Anthony, Laurence ; Oghigian, Kathryn et al. / Teaching remedial grammar through data-driven learning using AntPConc. In: Taiwan International ESP Journal. 2013 ; Vol. 5, No. 2. pp. 65-90.

Bibtex

@article{084e0608c5b94e8996af1154961db8b8,
title = "Teaching remedial grammar through data-driven learning using AntPConc",
abstract = "In most Asian countries, students receive between six and eight years of compulsory English education before they enter university. Despite this massive investment in English education, many students, especially in Japan, continue to show a poor understanding of rudimentary grammar rules.In this paper we report on a unique English course designed specifically to address grammar issues at low (remedial) levels using a Data-Driven Learning (DDL) approach. Applications of DDL are becoming more widely reported, but they are generally at the intermediate or advanced level. One of the challenges of using DDL at the remedial level is the lack of suitably leveled corpora. Anotherchallenge is that most corpus tools used in DDL are designed for researchers or advanced learners and thus can appear overly complex. To address these issues, we have developed a simple English corpus built from standard school texts. We have also created a freeware, parallel corpus tool, AntPConc, that is specially designed to be simple, easy, and intuitive to use by beginner learners. Results from the course show significant gains between pre- and post-tests of grammar understanding for beginner-level EFL university students. We also obtained positive student feedback on the AntPConc software.",
keywords = "Data-Driven Learning, DDL , AntPConc , Concordancer , Remedial Level , Grammar Instruction , Cognitive Grammar",
author = "Kiyomi Chujo and Laurence Anthony and Kathryn Oghigian and Kenji Yokota",
note = "This work is licensed under a Creative Commons Attribution 3.0 License. ",
year = "2013",
language = "English",
volume = "5",
pages = "65--90",
journal = "Taiwan International ESP Journal",
publisher = "Taiwan English for Specific Purposes Association",
number = "2",

}

RIS

TY - JOUR

T1 - Teaching remedial grammar through data-driven learning using AntPConc

AU - Chujo, Kiyomi

AU - Anthony, Laurence

AU - Oghigian, Kathryn

AU - Yokota, Kenji

N1 - This work is licensed under a Creative Commons Attribution 3.0 License.

PY - 2013

Y1 - 2013

N2 - In most Asian countries, students receive between six and eight years of compulsory English education before they enter university. Despite this massive investment in English education, many students, especially in Japan, continue to show a poor understanding of rudimentary grammar rules.In this paper we report on a unique English course designed specifically to address grammar issues at low (remedial) levels using a Data-Driven Learning (DDL) approach. Applications of DDL are becoming more widely reported, but they are generally at the intermediate or advanced level. One of the challenges of using DDL at the remedial level is the lack of suitably leveled corpora. Anotherchallenge is that most corpus tools used in DDL are designed for researchers or advanced learners and thus can appear overly complex. To address these issues, we have developed a simple English corpus built from standard school texts. We have also created a freeware, parallel corpus tool, AntPConc, that is specially designed to be simple, easy, and intuitive to use by beginner learners. Results from the course show significant gains between pre- and post-tests of grammar understanding for beginner-level EFL university students. We also obtained positive student feedback on the AntPConc software.

AB - In most Asian countries, students receive between six and eight years of compulsory English education before they enter university. Despite this massive investment in English education, many students, especially in Japan, continue to show a poor understanding of rudimentary grammar rules.In this paper we report on a unique English course designed specifically to address grammar issues at low (remedial) levels using a Data-Driven Learning (DDL) approach. Applications of DDL are becoming more widely reported, but they are generally at the intermediate or advanced level. One of the challenges of using DDL at the remedial level is the lack of suitably leveled corpora. Anotherchallenge is that most corpus tools used in DDL are designed for researchers or advanced learners and thus can appear overly complex. To address these issues, we have developed a simple English corpus built from standard school texts. We have also created a freeware, parallel corpus tool, AntPConc, that is specially designed to be simple, easy, and intuitive to use by beginner learners. Results from the course show significant gains between pre- and post-tests of grammar understanding for beginner-level EFL university students. We also obtained positive student feedback on the AntPConc software.

KW - Data-Driven Learning

KW - DDL

KW - AntPConc

KW - Concordancer

KW - Remedial Level

KW - Grammar Instruction

KW - Cognitive Grammar

M3 - Journal article

VL - 5

SP - 65

EP - 90

JO - Taiwan International ESP Journal

JF - Taiwan International ESP Journal

IS - 2

ER -