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Mapping Consistent Stylistic Patterns of Undergraduate Learners Across Writing Texts.

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Title: Mapping Consistent Stylistic Patterns of Undergraduate Learners Across Writing Texts.
Authors: Hoque, Mohammed Shamsul1 dr.hoque@seu.edu.bd, Vasanthan, R.2 vasanthan@nagalanduniversity.ac.in, Tungoe, Chumdemo3 chumdemode@gmail.com, Glukhova, Olga4 olga_glukhova_@mail.ru, Kurapati, Suresh5 ksuresh@nagalanduniversity.ac.in
Source: International Online Journal of Education & Teaching. 2026, Vol. 13 Issue 3, p341-355. 15p.
Subject Terms: *Scholarly method, *Variation in language, *Undergraduates, *Literary style, Stylometry, Natural language processing, Linguistic complexity, Attribution of authorship
Abstract: This study investigates the consistency of writing style (or stylistic biometric identity) of undergraduate students engaged in different writing tasks. With the growing use of computer writing and computer-supported writing tools, author verification and support for academic integrity are increasingly important. Here, this study adopts a quantitative approach to computational stylometry. This study purposively sampled 100 undergraduate students and constructed a corpus of students' work, including several writing samples for each essay, report, and reflective task. Stylometric features of interest included vocabulary, syntax, sentence length, word frequency, and readability index--descriptive statistics indicating low variability in the selected features and stylistic consistency among students. Set out to confirm these observations by means of inferential statistics. There were no significant differences in most writing tasks (p > 0.05) as reported by the paired-samples t-test, reaffirming stylistic consistency. However, there were differences (p < 0.05) between the high- and low-stylistically consistent groups, as assessed by an independent-samples t-test, for lexical diversity and syntactic complexity. Also found a high positive correlation between lexical diversity and stylistic consistency (r = 0.58); readability and consistency (r = 0.49), and a moderately negative correlation between syntactic complexity and consistency (r = -0.52), according to the correlation test. The accuracy of predicted stylistic consistency for all the students is 82%. Findings show that students typically maintain a consistent writing style across different writing tasks, with minor variations due to the writing context. Research demonstrates the use of stylometric analysis for individualized learning, author recognition, and academic plagiarism detection. Findings can be improved by training the system with more sophisticated natural language processing approaches and larger datasets to enhance generalization. [ABSTRACT FROM AUTHOR]
Copyright of International Online Journal of Education & Teaching is the property of International Online Journal of Education & Teaching and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Mapping Consistent Stylistic Patterns of Undergraduate Learners Across Writing Texts.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hoque%2C+Mohammed+Shamsul%22&quot;&gt;Hoque, Mohammed Shamsul&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;i&gt; dr.hoque@seu.edu.bd&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Vasanthan%2C+R%2E%22&quot;&gt;Vasanthan, R.&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;&lt;i&gt; vasanthan@nagalanduniversity.ac.in&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tungoe%2C+Chumdemo%22&quot;&gt;Tungoe, Chumdemo&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt;&lt;i&gt; chumdemode@gmail.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Glukhova%2C+Olga%22&quot;&gt;Glukhova, Olga&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt;&lt;i&gt; olga_glukhova_@mail.ru&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kurapati%2C+Suresh%22&quot;&gt;Kurapati, Suresh&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt;&lt;i&gt; ksuresh@nagalanduniversity.ac.in&lt;/i&gt;
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  Data: This study investigates the consistency of writing style (or stylistic biometric identity) of undergraduate students engaged in different writing tasks. With the growing use of computer writing and computer-supported writing tools, author verification and support for academic integrity are increasingly important. Here, this study adopts a quantitative approach to computational stylometry. This study purposively sampled 100 undergraduate students and constructed a corpus of students&#39; work, including several writing samples for each essay, report, and reflective task. Stylometric features of interest included vocabulary, syntax, sentence length, word frequency, and readability index--descriptive statistics indicating low variability in the selected features and stylistic consistency among students. Set out to confirm these observations by means of inferential statistics. There were no significant differences in most writing tasks (p &gt; 0.05) as reported by the paired-samples t-test, reaffirming stylistic consistency. However, there were differences (p &lt; 0.05) between the high- and low-stylistically consistent groups, as assessed by an independent-samples t-test, for lexical diversity and syntactic complexity. Also found a high positive correlation between lexical diversity and stylistic consistency (r = 0.58); readability and consistency (r = 0.49), and a moderately negative correlation between syntactic complexity and consistency (r = -0.52), according to the correlation test. The accuracy of predicted stylistic consistency for all the students is 82%. Findings show that students typically maintain a consistent writing style across different writing tasks, with minor variations due to the writing context. Research demonstrates the use of stylometric analysis for individualized learning, author recognition, and academic plagiarism detection. Findings can be improved by training the system with more sophisticated natural language processing approaches and larger datasets to enhance generalization. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of International Online Journal of Education &amp; Teaching is the property of International Online Journal of Education &amp; Teaching and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 341
    Subjects:
      – SubjectFull: Scholarly method
        Type: general
      – SubjectFull: Variation in language
        Type: general
      – SubjectFull: Undergraduates
        Type: general
      – SubjectFull: Literary style
        Type: general
      – SubjectFull: Stylometry
        Type: general
      – SubjectFull: Natural language processing
        Type: general
      – SubjectFull: Linguistic complexity
        Type: general
      – SubjectFull: Attribution of authorship
        Type: general
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      – TitleFull: Mapping Consistent Stylistic Patterns of Undergraduate Learners Across Writing Texts.
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            NameFull: Hoque, Mohammed Shamsul
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            NameFull: Vasanthan, R.
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            NameFull: Tungoe, Chumdemo
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            NameFull: Glukhova, Olga
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            NameFull: Kurapati, Suresh
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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