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AN INTELLIGENT METHOD FOR MEASURING THE ATTENTION AND CONCENTRATION OF YOUNG PEOPLE IN A UNIVERSITY ENVIRONMENT.

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Title: AN INTELLIGENT METHOD FOR MEASURING THE ATTENTION AND CONCENTRATION OF YOUNG PEOPLE IN A UNIVERSITY ENVIRONMENT.
Authors: Biolcheva, Petya1 p.biolcheva@unwe.bg, Ivanov, Sotir1 sotir.ivanov@unwe.bg
Source: Pedagogy / Pedagogika (0861-3982). 2026, Vol. 98 Issue 2, p186-198. 13p.
Subject Terms: *Attention control, *Artificial intelligence, *Psychology of students, *Classroom environment, *Science education, *College students, *Teaching methods, Attention testing
Abstract: Intelligent technologies are entering the educational processes, both directly with the introduction of a number of digital tools creating higher interaction, and indirectly, through numerous intelligent tools analyzing and stimulating the learning environment. The subject of consideration in this material is namely such an indirect intelligent model, which monitors and analyzes the attention, interest and concentration of students in large halls during face-to-face training and real interaction between a teacher and a large group of students. In it, the intelligent technology analyzes the behavior of each individual student and gives recommendations to the teacher if there is a need to change the methodology and or teaching techniques, in order to maximally retain the attention of the audience. The paper reveals a roadmap for the application of the author‘s IMMAsac model, as well as the benefits of its implementation. [ABSTRACT FROM AUTHOR]
Copyright of Pedagogy / Pedagogika (0861-3982) is the property of Az Buki National Publishing House 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
FullText Text:
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PubType: Academic Journal
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  Data: AN INTELLIGENT METHOD FOR MEASURING THE ATTENTION AND CONCENTRATION OF YOUNG PEOPLE IN A UNIVERSITY ENVIRONMENT.
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  Data: <searchLink fieldCode="AR" term="%22Biolcheva%2C+Petya%22">Biolcheva, Petya</searchLink><relatesTo>1</relatesTo><i> p.biolcheva@unwe.bg</i><br /><searchLink fieldCode="AR" term="%22Ivanov%2C+Sotir%22">Ivanov, Sotir</searchLink><relatesTo>1</relatesTo><i> sotir.ivanov@unwe.bg</i>
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  Data: <searchLink fieldCode="JN" term="%22Pedagogy+%2F+Pedagogika+%280861-3982%29%22">Pedagogy / Pedagogika (0861-3982)</searchLink>. 2026, Vol. 98 Issue 2, p186-198. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Attention+control%22">Attention control</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Psychology+of+students%22">Psychology of students</searchLink><br />*<searchLink fieldCode="DE" term="%22Classroom+environment%22">Classroom environment</searchLink><br />*<searchLink fieldCode="DE" term="%22Science+education%22">Science education</searchLink><br />*<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Attention+testing%22">Attention testing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Intelligent technologies are entering the educational processes, both directly with the introduction of a number of digital tools creating higher interaction, and indirectly, through numerous intelligent tools analyzing and stimulating the learning environment. The subject of consideration in this material is namely such an indirect intelligent model, which monitors and analyzes the attention, interest and concentration of students in large halls during face-to-face training and real interaction between a teacher and a large group of students. In it, the intelligent technology analyzes the behavior of each individual student and gives recommendations to the teacher if there is a need to change the methodology and or teaching techniques, in order to maximally retain the attention of the audience. The paper reveals a roadmap for the application of the author‘s IMMAsac model, as well as the benefits of its implementation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Pedagogy / Pedagogika (0861-3982) is the property of Az Buki National Publishing House 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=192184997
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    Identifiers:
      – Type: doi
        Value: 10.53656/ped2026-2.02
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 186
    Subjects:
      – SubjectFull: Attention control
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Psychology of students
        Type: general
      – SubjectFull: Classroom environment
        Type: general
      – SubjectFull: Science education
        Type: general
      – SubjectFull: College students
        Type: general
      – SubjectFull: Teaching methods
        Type: general
      – SubjectFull: Attention testing
        Type: general
    Titles:
      – TitleFull: AN INTELLIGENT METHOD FOR MEASURING THE ATTENTION AND CONCENTRATION OF YOUNG PEOPLE IN A UNIVERSITY ENVIRONMENT.
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          Name:
            NameFull: Biolcheva, Petya
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          Name:
            NameFull: Ivanov, Sotir
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          Dates:
            – D: 01
              M: 02
              Text: 2026
              Type: published
              Y: 2026
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              Value: 08613982
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              Value: 98
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              Value: 2
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            – TitleFull: Pedagogy / Pedagogika (0861-3982)
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