The evaluation of computational modelling performance within the context of rationality theory: finding the area between two curves.

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Title: The evaluation of computational modelling performance within the context of rationality theory: finding the area between two curves.
Authors: Urhan, Selin1 (AUTHOR) selin.urhan@hacettepe.edu.tr
Source: Research in Mathematics Education. Apr2026, Vol. 28 Issue 1, p54-76. 23p.
Subject Terms: *College students, *Education methodology, *Qualitative research, *Computer simulation, Numerical integration, T-test (Statistics)
People: Habermas, Jürgen, 1929-2026
Abstract: This study aimed to investigate the development of computational modelling performances of students during the computer-assisted system (CAS) integrated ACODESA method based on Habermas' construct of rationality. The participants included 22 university students. In the study, in which the embedded design was utilised, the qualitative phase aimed to examine the computational modelling performances of the students during the stages of CAS integrated ACODESA method. It was determined that the students showed improvement in modelling the Riemann sum accurately with CAS, and in choosing to use for loop to determine the area of the rectangles that represented the Riemann sum, and in comprehensibility and acceptability. In the quantitative phase of the study, pre and post-tests were conducted to determine the effect of the CAS-integrated ACODESA method on computational modelling performances of the students. The computational modelling scores were compared with the paired samples t-test. It was found that CAS-integrated ACODESA method made statistically significant effect on computational modelling performances of the students. [ABSTRACT FROM AUTHOR]
Copyright of Research in Mathematics Education is the property of Taylor & Francis Ltd 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.)
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  Data: <searchLink fieldCode="JN" term="%22Research+in+Mathematics+Education%22">Research in Mathematics Education</searchLink>. Apr2026, Vol. 28 Issue 1, p54-76. 23p.
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  Data: *<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+methodology%22">Education methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+integration%22">Numerical integration</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink>
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  Label: Abstract
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  Data: This study aimed to investigate the development of computational modelling performances of students during the computer-assisted system (CAS) integrated ACODESA method based on Habermas' construct of rationality. The participants included 22 university students. In the study, in which the embedded design was utilised, the qualitative phase aimed to examine the computational modelling performances of the students during the stages of CAS integrated ACODESA method. It was determined that the students showed improvement in modelling the Riemann sum accurately with CAS, and in choosing to use for loop to determine the area of the rectangles that represented the Riemann sum, and in comprehensibility and acceptability. In the quantitative phase of the study, pre and post-tests were conducted to determine the effect of the CAS-integrated ACODESA method on computational modelling performances of the students. The computational modelling scores were compared with the paired samples t-test. It was found that CAS-integrated ACODESA method made statistically significant effect on computational modelling performances of the students. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Research in Mathematics Education is the property of Taylor & Francis Ltd 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.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/14794802.2024.2382459
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      – Code: eng
        Text: English
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        PageCount: 23
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      – SubjectFull: College students
        Type: general
      – SubjectFull: Education methodology
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      – SubjectFull: Qualitative research
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      – SubjectFull: Computer simulation
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      – SubjectFull: Numerical integration
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      – SubjectFull: T-test (Statistics)
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      – SubjectFull: Habermas, Jürgen, 1929-2026
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              M: 04
              Text: Apr2026
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              Y: 2026
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