Improving Writing Feedback for Struggling Writers: Generative AI to the Rescue?

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Bibliographic Details
Title: Improving Writing Feedback for Struggling Writers: Generative AI to the Rescue?
Language: English
Authors: Anya S. Evmenova, Kelley Regan, Reagan Mergen, Roba Hrisseh
Source: TechTrends: Linking Research and Practice to Improve Learning. 2024 68(4):790-802.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 13
Publication Date: 2024
Sponsoring Agency: Office of Special Education Programs (OSEP) (ED/OSERS)
Contract Number: H327S180004
Document Type: Journal Articles
Reports - Research
Descriptors: Writing Instruction, Feedback (Response), Writing Difficulties, Artificial Intelligence, Technology Uses in Education, Teachers, Differences, Natural Language Processing, Students with Disabilities, Student Characteristics
DOI: 10.1007/s11528-024-00965-y
ISSN: 8756-3894
1559-7075
Abstract: Generative AI has the potential to support teachers with writing instruction and feedback. The purpose of this study was to explore and compare feedback and data-based instructional suggestions from teachers and those generated by different AI tools. Essays from students with and without disabilities who struggled with writing and needed a technology-based writing intervention were analyzed. The essays were imported into two versions of ChatGPT using four different prompts, whereby eight sets of responses were generated. Inductive thematic analysis was used to explore the data sets. Findings indicated: (a) differences in responses between ChatGPT versions and prompts, (b) AI feedback on student writing did not reflect provided student characteristics (e.g., grade level or needs; disability; ELL status), and (c) ChatGPT's responses to the essays aligned with teachers' identified areas of needs and instructional decisions to some degree. Suggestions for increasing educator engagement with AI to enhance teaching writing is discussed.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1433203
Database: ERIC
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Description
Abstract:Generative AI has the potential to support teachers with writing instruction and feedback. The purpose of this study was to explore and compare feedback and data-based instructional suggestions from teachers and those generated by different AI tools. Essays from students with and without disabilities who struggled with writing and needed a technology-based writing intervention were analyzed. The essays were imported into two versions of ChatGPT using four different prompts, whereby eight sets of responses were generated. Inductive thematic analysis was used to explore the data sets. Findings indicated: (a) differences in responses between ChatGPT versions and prompts, (b) AI feedback on student writing did not reflect provided student characteristics (e.g., grade level or needs; disability; ELL status), and (c) ChatGPT's responses to the essays aligned with teachers' identified areas of needs and instructional decisions to some degree. Suggestions for increasing educator engagement with AI to enhance teaching writing is discussed.
ISSN:8756-3894
1559-7075
DOI:10.1007/s11528-024-00965-y