Editorial: Eye tracking for STEM education research: new perspectives.

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Title: Editorial: Eye tracking for STEM education research: new perspectives.
Authors: Rusek, Martin1 martin.rusek@pedf.cuni.cz, Klein, Pascal2, Schindler, Maike3
Source: Frontiers in Education. 2024, p1-2. 2p.
Subject Terms: *STEM education, *Education research, *Engineering education, *Artificial intelligence, Eye tracking
Abstract: This article, titled "Editorial: Eye tracking for STEM education research: new perspectives," discusses the integration of eye-tracking technology into STEM education research. The article highlights the use of eye-tracking technology in various STEM disciplines, such as engineering, physics, chemistry, mathematics, and organic chemistry. It explores how eye-tracking technology can enhance competency assessment, teacher training, cognitive load analysis, problem-solving processes, collaborative knowledge construction, data interpretation, and visual learning strategies. The article emphasizes the potential of eye-tracking technology to enrich our understanding of learning dynamics and instructional methods in STEM education. [Extracted from the article]
Copyright of Frontiers in Education is the property of Frontiers Media S.A. 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:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 176642111
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Editorial: Eye tracking for STEM education research: new perspectives.
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  Data: *<searchLink fieldCode="DE" term="%22STEM+education%22">STEM education</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+research%22">Education research</searchLink><br />*<searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink>
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  Label: Abstract
  Group: Ab
  Data: This article, titled "Editorial: Eye tracking for STEM education research: new perspectives," discusses the integration of eye-tracking technology into STEM education research. The article highlights the use of eye-tracking technology in various STEM disciplines, such as engineering, physics, chemistry, mathematics, and organic chemistry. It explores how eye-tracking technology can enhance competency assessment, teacher training, cognitive load analysis, problem-solving processes, collaborative knowledge construction, data interpretation, and visual learning strategies. The article emphasizes the potential of eye-tracking technology to enrich our understanding of learning dynamics and instructional methods in STEM education. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Frontiers in Education is the property of Frontiers Media S.A. 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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/feduc.2024.1389962
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 2
        StartPage: 1
    Subjects:
      – SubjectFull: STEM education
        Type: general
      – SubjectFull: Education research
        Type: general
      – SubjectFull: Engineering education
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Eye tracking
        Type: general
    Titles:
      – TitleFull: Editorial: Eye tracking for STEM education research: new perspectives.
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            NameFull: Rusek, Martin
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            NameFull: Klein, Pascal
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          Dates:
            – D: 09
              M: 04
              Text: 2024
              Type: published
              Y: 2024
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