View in EDS

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

Saved in:
Bibliographic Details
Title: An AWE-Based Diagnosis of L2 English Learners' Written Errors
Language: English
Authors: Lei, Jiun-Iung
Source: English Language Teaching. 2020 13(10):111-119.
Availability: Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, OH M3J 3H7, Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: elt@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/elt
Peer Reviewed: Y
Page Count: 9
Publication Date: 2020
Document Type: Journal Articles
Reports - Research
Education Level: Adult Education
Higher Education
Postsecondary Education
Descriptors: 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
Geographic Terms: Taiwan
ISSN: 1916-4742
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.
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1272190
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1272190
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1272190
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An AWE-Based Diagnosis of L2 English Learners' Written Errors
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lei%2C+Jiun-Iung%22">Lei, Jiun-Iung</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22English+Language+Teaching%22"><i>English Language Teaching</i></searchLink>. 2020 13(10):111-119.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, OH M3J 3H7, Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: elt@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/elt
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 9
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2020
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Adult+Education%22">Adult Education</searchLink><br /><searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Writing+Evaluation%22">Writing Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Error+Analysis+%28Language%29%22">Error Analysis (Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Grammar%22">Grammar</searchLink><br /><searchLink fieldCode="DE" term="%22Evening+Programs%22">Evening Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Essays%22">Essays</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Error+Patterns%22">Error Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Taiwan%22">Taiwan</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1916-4742
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2020
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1272190
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1272190
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 111
    Subjects:
      – SubjectFull: Writing Evaluation
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Error Analysis (Language)
        Type: general
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Grammar
        Type: general
      – SubjectFull: Evening Programs
        Type: general
      – SubjectFull: Essays
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Error Patterns
        Type: general
      – SubjectFull: Writing Instruction
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Taiwan
        Type: general
    Titles:
      – TitleFull: An AWE-Based Diagnosis of L2 English Learners' Written Errors
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lei, Jiun-Iung
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 1916-4742
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: English Language Teaching
              Type: main
ResultId 1