Informing Automated Writing Evaluation Using the Lens of Genre: Two Studies

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Bibliographic Details
Title: Informing Automated Writing Evaluation Using the Lens of Genre: Two Studies
Language: English
Authors: Burstein, Jill, Elliot, Norbert, Molloy, Hillary
Source: CALICO Journal. 2016 33(1):117-141.
Availability: Equinox Publishing Ltd. Office 415, The Workstation, 15 Paternoster Row, Sheffield, S1 2BX, UK. Tel: +44-114-221-0285; Fax: +44-114-279-6522; e-mail: journals@equinoxpub.com; Web site: www.equinoxpub.com
Peer Reviewed: Y
Page Count: 25
Publication Date: 2016
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: College Students, Writing Evaluation, Computer Assisted Testing, Writing Tests, Literary Genres, Writing Instruction, Writing Skills, Mixed Methods Research, Focus Groups, Teacher Attitudes, National Surveys, Required Courses, Prior Learning, Statistical Significance
Geographic Terms: District of Columbia
ISSN: 2056-9017
Abstract: Genre serves as a useful lens to investigate the range of evidence derived from automated writing evaluation (AWE). To support construct-relevant systems used for writing instruction and assessment, two investigations were conducted that focused on postsecondary writing requirements and faculty perceptions of student writing proficiency. Survey research is described from a national study and a second site study at American University, a 4-year private university in Washington, DC, to illustrate writing requirements and perceptions of writing proficiency in school and workplace settings. A mixed-methods analysis of faculty focus groups in the site study afforded more detailed discussions that were used to understand student writing support needs. Through the lens of genre, study results illustrated how the role of AWE might be expanded and aligned with instruction in four-year postsecondary institutions.
Abstractor: As Provided
Number of References: 57
Entry Date: 2016
Accession Number: EJ1143728
Database: ERIC
FullText Links:
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  Data: Informing Automated Writing Evaluation Using the Lens of Genre: Two Studies
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  Data: <searchLink fieldCode="SO" term="%22CALICO+Journal%22"><i>CALICO Journal</i></searchLink>. 2016 33(1):117-141.
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  Data: <searchLink fieldCode="DE" term="%22District+of+Columbia%22">District of Columbia</searchLink>
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  Data: 2056-9017
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  Data: Genre serves as a useful lens to investigate the range of evidence derived from automated writing evaluation (AWE). To support construct-relevant systems used for writing instruction and assessment, two investigations were conducted that focused on postsecondary writing requirements and faculty perceptions of student writing proficiency. Survey research is described from a national study and a second site study at American University, a 4-year private university in Washington, DC, to illustrate writing requirements and perceptions of writing proficiency in school and workplace settings. A mixed-methods analysis of faculty focus groups in the site study afforded more detailed discussions that were used to understand student writing support needs. Through the lens of genre, study results illustrated how the role of AWE might be expanded and aligned with instruction in four-year postsecondary institutions.
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        PageCount: 25
        StartPage: 117
    Subjects:
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Writing Evaluation
        Type: general
      – SubjectFull: Computer Assisted Testing
        Type: general
      – SubjectFull: Writing Tests
        Type: general
      – SubjectFull: Literary Genres
        Type: general
      – SubjectFull: Writing Instruction
        Type: general
      – SubjectFull: Writing Skills
        Type: general
      – SubjectFull: Mixed Methods Research
        Type: general
      – SubjectFull: Focus Groups
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: National Surveys
        Type: general
      – SubjectFull: Required Courses
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      – SubjectFull: Prior Learning
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      – SubjectFull: Statistical Significance
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      – SubjectFull: District of Columbia
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      – TitleFull: Informing Automated Writing Evaluation Using the Lens of Genre: Two Studies
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            NameFull: Molloy, Hillary
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