An AWE-Based Diagnosis of L2 English Learners' Written Errors

Autor/in	Lei, Jiun-Iung
Titel	An AWE-Based Diagnosis of L2 English Learners' Written Errors
Quelle	In: English Language Teaching, 13 (2020) 10, S.111-119 (9 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1916-4742
Schlagwörter	Writing Evaluation; Computer Software; Error Analysis (Language); Second Language Learning; Second Language Instruction; English (Second Language); Grammar; Evening Programs; Essays; College Students; Error Patterns; Writing Instruction; Foreign Countries; Taiwan + Suchen Sie Ihr Suchwort? Error analysis; Language; Fehleranalyse; Zweitsprachenerwerb; Fremdsprachenunterricht; English as second language; English; Second Language; Englisch als Zweitsprache; Grammatik; Evening studies; Evening class; Abendstudium; Essay; Aufsatzunterricht; Collegestudent; Fehlertyp; Schreibunterricht; Ausland
Abstract	While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students' English writings at a Taiwanese technical university. The participants of the research produced 175 essays. The researcher checked the data against the AWE program. 1042 errors were detected and classified into 40 types. The 40 types of errors were at three hierarchical levels: a word and phrase level, a sentence level, and a discourse level. This study suggested future studies to view AWE's functions in a new perspective and find it a space in the process of error diagnosis. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01