Teacher Trainees Create and Exploit a Graded Reader Corpus
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F14%3A00078720" target="_blank" >RIV/00216224:14210/14:00078720 - isvavai.cz</a>
Výsledek na webu
—
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Teacher Trainees Create and Exploit a Graded Reader Corpus
Popis výsledku v původním jazyce
Trainees are MA students in a Faculty of Arts teacher training program. In Spring 2014, their courses in ?Linguistics for Language Teachers? ran in parallel with "Syllabus, Lesson and Material Design for ELT". The pre-service teachers are mostly familiaras their undergraduate program offers courses that revolve around corpora. Further training was available through worksheets taken from Discovering English with Sketch Engine (Thomas 2015). We use Sketch Engine to create corpora and for linguistic analysis. Working in small groups, each chose a graded reader, scanned it and added it to an existing corpus of graded readers. The trainees used our concordancing software to search their texts for examples of a wide range of language features that they willsoon be teaching. They made a subcorpus of books at the same GR Level.
Název v anglickém jazyce
Teacher Trainees Create and Exploit a Graded Reader Corpus
Popis výsledku anglicky
Trainees are MA students in a Faculty of Arts teacher training program. In Spring 2014, their courses in ?Linguistics for Language Teachers? ran in parallel with "Syllabus, Lesson and Material Design for ELT". The pre-service teachers are mostly familiaras their undergraduate program offers courses that revolve around corpora. Further training was available through worksheets taken from Discovering English with Sketch Engine (Thomas 2015). We use Sketch Engine to create corpora and for linguistic analysis. Working in small groups, each chose a graded reader, scanned it and added it to an existing corpus of graded readers. The trainees used our concordancing software to search their texts for examples of a wide range of language features that they willsoon be teaching. They made a subcorpus of books at the same GR Level.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
AI - Jazykověda
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů