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AI vs Human Writers: A Comparative Analysis of Story Rewriting through Readability Metrics

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Title: AI vs Human Writers: A Comparative Analysis of Story Rewriting through Readability Metrics
Language: English
Authors: Fahimul Habib (ORCID 0009-0001-0166-8024), Md Shafiur Raihan Shafi (ORCID 0000-0003-4479-0617), Muhammad Usama Islam (ORCID 0000-0003-2080-2484)
Source: International Journal of Technology in Education and Science. 2026 10(2):360-378.
Availability: International Society for Technology, Education, and Science. e-mail: ijtesoffice@gmail.com; Web site: http://www.ijtes.net
Peer Reviewed: Y
Page Count: 19
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Man Machine Systems, Writing (Composition), Writing Evaluation, Readability, Language Usage, Difficulty Level, Readability Formulas, Sentences, English, Automation, Educational Technology, Technology Uses in Education
Assessment and Survey Identifiers: Flesch Kincaid Grade Level Formula, Flesch Reading Ease Formula
ISSN: 2651-5369
Abstract: This study examines how generative artificial intelligence (GenAI) might be used to rewrite narratives in comparison to texts written by humans, with an emphasis on writing style, readability, and verbosity. GenAI's performance is evaluated by means of quantitative analysis and readability metrics. The results indicate that GenAI often generates writings with higher verbosity and readability scores than stories written by humans. Furthermore, the examination of lexical density and diversity reveals subtle variations in writing styles between human, ChatGPT, and Gemini; GenAI exhibits competitive performance in these metrics. Although the results point to potential applications of GenAI in narrative, more research is needed to determine how effective the technology is when compared to human authors.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1506463
Database: ERIC
FullText Text:
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  Data: <searchLink fieldCode="AR" term="%22Fahimul+Habib%22">Fahimul Habib</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0001-0166-8024">0009-0001-0166-8024</externalLink>)<br /><searchLink fieldCode="AR" term="%22Md+Shafiur+Raihan+Shafi%22">Md Shafiur Raihan Shafi</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4479-0617">0000-0003-4479-0617</externalLink>)<br /><searchLink fieldCode="AR" term="%22Muhammad+Usama+Islam%22">Muhammad Usama Islam</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2080-2484">0000-0003-2080-2484</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Technology+in+Education+and+Science%22"><i>International Journal of Technology in Education and Science</i></searchLink>. 2026 10(2):360-378.
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  Data: International Society for Technology, Education, and Science. e-mail: ijtesoffice@gmail.com; Web site: http://www.ijtes.net
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  Data: This study examines how generative artificial intelligence (GenAI) might be used to rewrite narratives in comparison to texts written by humans, with an emphasis on writing style, readability, and verbosity. GenAI's performance is evaluated by means of quantitative analysis and readability metrics. The results indicate that GenAI often generates writings with higher verbosity and readability scores than stories written by humans. Furthermore, the examination of lexical density and diversity reveals subtle variations in writing styles between human, ChatGPT, and Gemini; GenAI exhibits competitive performance in these metrics. Although the results point to potential applications of GenAI in narrative, more research is needed to determine how effective the technology is when compared to human authors.
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      – Text: English
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        PageCount: 19
        StartPage: 360
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      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Man Machine Systems
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      – SubjectFull: Writing (Composition)
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      – SubjectFull: Writing Evaluation
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      – SubjectFull: Readability
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      – SubjectFull: Language Usage
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      – SubjectFull: Difficulty Level
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      – SubjectFull: Readability Formulas
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      – SubjectFull: Sentences
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      – SubjectFull: English
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      – TitleFull: AI vs Human Writers: A Comparative Analysis of Story Rewriting through Readability Metrics
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            NameFull: Md Shafiur Raihan Shafi
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            NameFull: Muhammad Usama Islam
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