Comparing the quality of human and ChatGPT feedback of students’ writing

Offering students formative feedback on their writing is an effective way to facilitate writing development. Recent advances in AI (i.e., ChatGPT) may function as an automated writing evaluation tool, increasing the amount of feedback students receive and diminishing the burden on teachers to provid...

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Published in:Learning and instruction Vol. 91; p. 101894
Main Authors: Steiss, Jacob, Tate, Tamara, Graham, Steve, Cruz, Jazmin, Hebert, Michael, Wang, Jiali, Moon, Youngsun, Tseng, Waverly, Warschauer, Mark, Olson, Carol Booth
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2024
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ISSN:0959-4752
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Abstract Offering students formative feedback on their writing is an effective way to facilitate writing development. Recent advances in AI (i.e., ChatGPT) may function as an automated writing evaluation tool, increasing the amount of feedback students receive and diminishing the burden on teachers to provide frequent feedback to large classes. We examined the ability of generative AI (ChatGPT) to provide formative feedback. We compared the quality of human and AI feedback by scoring the feedback each provided on secondary student essays. We scored the degree to which feedback (a) was criteria-based, (b) provided clear directions for improvement, (c) was accurate, (d) prioritized essential features, and (e) used a supportive tone. 200 pieces of human-generated formative feedback and 200 pieces of AI-generated formative feedback for the same essays. We examined whether ChatGPT and human feedback differed in quality for the whole sample, for compositions that differed in overall quality, and for native English speakers and English learners by comparing descriptive statistics and effect sizes. Human raters were better at providing high-quality feedback to students in all categories other than criteria-based. AI and humans showed differences in feedback quality based on essay quality. Feedback did not vary by language status for humans or AI. Well-trained evaluators provided higher quality feedback than ChatGPT. Considering the ease of generating feedback through ChatGPT and its overall quality, generative AI may still be useful in some contexts, particularly in formative early drafts or instances where a well-trained educator is unavailable. •Human feedback was better than ChatGPT feedback for ⅘ elements of formative feedback.•Differences between ChatGPT and humans were modest when considering the overall quality of feedback and time-savings•ChatGPT and human feedback varied in quality based on the score of the targeted essay.•ChatGPT has potential as an evaluative tool given tradeoffs between quality and time.
AbstractList Offering students formative feedback on their writing is an effective way to facilitate writing development. Recent advances in AI (i.e., ChatGPT) may function as an automated writing evaluation tool, increasing the amount of feedback students receive and diminishing the burden on teachers to provide frequent feedback to large classes. We examined the ability of generative AI (ChatGPT) to provide formative feedback. We compared the quality of human and AI feedback by scoring the feedback each provided on secondary student essays. We scored the degree to which feedback (a) was criteria-based, (b) provided clear directions for improvement, (c) was accurate, (d) prioritized essential features, and (e) used a supportive tone. 200 pieces of human-generated formative feedback and 200 pieces of AI-generated formative feedback for the same essays. We examined whether ChatGPT and human feedback differed in quality for the whole sample, for compositions that differed in overall quality, and for native English speakers and English learners by comparing descriptive statistics and effect sizes. Human raters were better at providing high-quality feedback to students in all categories other than criteria-based. AI and humans showed differences in feedback quality based on essay quality. Feedback did not vary by language status for humans or AI. Well-trained evaluators provided higher quality feedback than ChatGPT. Considering the ease of generating feedback through ChatGPT and its overall quality, generative AI may still be useful in some contexts, particularly in formative early drafts or instances where a well-trained educator is unavailable. •Human feedback was better than ChatGPT feedback for ⅘ elements of formative feedback.•Differences between ChatGPT and humans were modest when considering the overall quality of feedback and time-savings•ChatGPT and human feedback varied in quality based on the score of the targeted essay.•ChatGPT has potential as an evaluative tool given tradeoffs between quality and time.
ArticleNumber 101894
Author Steiss, Jacob
Graham, Steve
Cruz, Jazmin
Olson, Carol Booth
Wang, Jiali
Tseng, Waverly
Tate, Tamara
Warschauer, Mark
Moon, Youngsun
Hebert, Michael
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  orcidid: 0000-0002-8987-1990
  surname: Steiss
  fullname: Steiss, Jacob
  email: jsteiss@uci.edu
  organization: School of Education University of California, Irvine, USA
– sequence: 2
  givenname: Tamara
  surname: Tate
  fullname: Tate, Tamara
  email: tatet@uci.edu
  organization: School of Education University of California, Irvine, USA
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  givenname: Steve
  surname: Graham
  fullname: Graham, Steve
  email: steve.graham@asu.edu
  organization: Mary Lou Fulton Teachers College Arizona State University, USA
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  givenname: Jazmin
  surname: Cruz
  fullname: Cruz, Jazmin
  email: jcruz2@wested.org
  organization: WestEd, USA
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  givenname: Michael
  surname: Hebert
  fullname: Hebert, Michael
  email: mhebert1@uci.edu
  organization: School of Education University of California, Irvine, USA
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  givenname: Jiali
  surname: Wang
  fullname: Wang, Jiali
  email: jialiw8@uci.edu
  organization: School of Education University of California, Irvine, USA
– sequence: 7
  givenname: Youngsun
  surname: Moon
  fullname: Moon, Youngsun
  email: moonys@uci.edu
  organization: School of Education University of California, Irvine, USA
– sequence: 8
  givenname: Waverly
  surname: Tseng
  fullname: Tseng, Waverly
  email: waverlyt@uci.edu
  organization: School of Education University of California, Irvine, USA
– sequence: 9
  givenname: Mark
  surname: Warschauer
  fullname: Warschauer, Mark
  email: markw@uci.edu
  organization: School of Education University of California, Irvine, USA
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  givenname: Carol Booth
  surname: Olson
  fullname: Olson, Carol Booth
  email: cbolson@uci.edu
  organization: School of Education University of California, Irvine, USA
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Keywords Writing instruction
Formative feedback
Automated writing evaluation
Language English
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SubjectTerms Automated writing evaluation
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Writing instruction
Title Comparing the quality of human and ChatGPT feedback of students’ writing
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