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Automated Writing Instruction and Feedback: Instructional Mode, Attitudes, and Revising

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Title: Automated Writing Instruction and Feedback: Instructional Mode, Attitudes, and Revising
Language: English
Authors: Roscoe, Rod D., Allen, Laura K., Johnson, Adam C., McNamara, Danielle S.
Source: Grantee Submission. 2018Paper presented at the Human Factors and Ergonomics Society Annual Meeting (2018).
Peer Reviewed: Y
Page Count: 5
Publication Date: 2018
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R305A120707
Document Type: Reports - Research
Speeches/Meeting Papers
Education Level: High Schools
Secondary Education
Descriptors: High School Students, Student Attitudes, Writing Evaluation, Feedback (Response), Intelligent Tutoring Systems, Revision (Written Composition), Accuracy, Usability, Essays, Writing Instruction, Teaching Methods, Writing Ability, Writing Strategies, Game Based Learning
DOI: 10.1177/1541931218621471
Abstract: This study evaluates high school students' perceptions of automated writing feedback, and the influence of these perceptions on revising, as a function of varying modes of computer-based writing instruction. Findings indicate that students' perceptions of automated feedback accuracy, ease of use, relevance, and understandability were favorable. Immediate perceptions of feedback received on a selected essay were minimally related to how and whether students revised their essays. However, attitudes formed over multiple sessions were significantly related to revising. More importantly, the mode of instruction appeared to influence how feedback perceptions shaped revising behaviors. Students who engaged in traditional writing-based training and practice seemed to focus on their own perceived writing abilities when deciding how to revise. In contrast, students who also received strategy instruction and game-based practice attended more carefully to the perceived quality of the automated feedback. [This paper was published in: "Proceedings of the Human Factors and Ergonomics Society 2018 Annual Meeting," Human Factors and Ergonomics Society, 2018, pp.2089-2093.]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2022
Accession Number: ED616684
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Automated Writing Instruction and Feedback: Instructional Mode, Attitudes, and Revising
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  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2018Paper presented at the Human Factors and Ergonomics Society Annual Meeting (2018).
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  Data: 10.1177/1541931218621471
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  Data: This study evaluates high school students' perceptions of automated writing feedback, and the influence of these perceptions on revising, as a function of varying modes of computer-based writing instruction. Findings indicate that students' perceptions of automated feedback accuracy, ease of use, relevance, and understandability were favorable. Immediate perceptions of feedback received on a selected essay were minimally related to how and whether students revised their essays. However, attitudes formed over multiple sessions were significantly related to revising. More importantly, the mode of instruction appeared to influence how feedback perceptions shaped revising behaviors. Students who engaged in traditional writing-based training and practice seemed to focus on their own perceived writing abilities when deciding how to revise. In contrast, students who also received strategy instruction and game-based practice attended more carefully to the perceived quality of the automated feedback. [This paper was published in: "Proceedings of the Human Factors and Ergonomics Society 2018 Annual Meeting," Human Factors and Ergonomics Society, 2018, pp.2089-2093.]
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        Value: 10.1177/1541931218621471
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 5
    Subjects:
      – SubjectFull: High School Students
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Writing Evaluation
        Type: general
      – SubjectFull: Feedback (Response)
        Type: general
      – SubjectFull: Intelligent Tutoring Systems
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      – SubjectFull: Revision (Written Composition)
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      – SubjectFull: Accuracy
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      – SubjectFull: Usability
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      – SubjectFull: Essays
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      – SubjectFull: Writing Instruction
        Type: general
      – SubjectFull: Teaching Methods
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      – SubjectFull: Writing Ability
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      – SubjectFull: Writing Strategies
        Type: general
      – SubjectFull: Game Based Learning
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      – TitleFull: Automated Writing Instruction and Feedback: Instructional Mode, Attitudes, and Revising
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            NameFull: Roscoe, Rod D.
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            NameFull: Allen, Laura K.
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            NameFull: Johnson, Adam C.
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            NameFull: McNamara, Danielle S.
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              Type: published
              Y: 2018
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