Determining the Role of AI Literacy in the AI Readiness of Pre-Service Mathematics Teachers

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Title: Determining the Role of AI Literacy in the AI Readiness of Pre-Service Mathematics Teachers
Language: English
Authors: Metin Ünal (ORCID 0000-0002-8415-8926), Halime İrem Türkmen (ORCID 0009-0004-9988-1297)
Source: International Journal of Education in Mathematics, Science and Technology. 2026 14(2):457-476.
Availability: International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index
Peer Reviewed: Y
Page Count: 20
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technological Literacy, Digital Literacy, Preservice Teachers, Mathematics Teachers, Readiness, Correlation, Gender Differences, Computer Use, Incidence, Student Attitudes, Foreign Countries, Instructional Program Divisions
Geographic Terms: Turkey
ISSN: 2147-611X
Abstract: The purpose of this study is to examine the level of artificial intelligence readiness and artificial intelligence literacy of pre-service mathematics teachers in relation to various variables, and to identify the relationship between these skills. The present study's sample comprised 164 pre-service mathematics teachers. The "Artificial Intelligence Readiness" and "Artificial Intelligence Literacy" scales were utilised as data collection tools. Statistical Package for the Social Sciences (SPSS) software was then deployed in order to facilitate data analysis, with the following analyses being conducted: independent sample t-tests, one-way analysis of variance (ANOVA), correlation analysis and regression analysis. The findings of the study demonstrated that preservice mathematics teacher candidates exhibited a high level of both artificial intelligence readiness and literacy. Moreover a high level of positive and significant statistical relationship is demonstrated between artificial intelligence literacy and readiness. It was revealed that artificial intelligence literacy is responsible for Keywords explaining approximately 55% of the variance in artificial intelligence readiness.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1506054
Database: ERIC
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  Data: Determining the Role of AI Literacy in the AI Readiness of Pre-Service Mathematics Teachers
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  Data: <searchLink fieldCode="AR" term="%22Metin+Ünal%22">Metin Ünal</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-8415-8926">0000-0002-8415-8926</externalLink>)<br /><searchLink fieldCode="AR" term="%22Halime+İrem+Türkmen%22">Halime İrem Türkmen</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0004-9988-1297">0009-0004-9988-1297</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Education+in+Mathematics%2C+Science+and+Technology%22"><i>International Journal of Education in Mathematics, Science and Technology</i></searchLink>. 2026 14(2):457-476.
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  Data: International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index
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  Data: Y
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  Data: 20
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Literacy%22">Digital Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Teachers%22">Mathematics Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Readiness%22">Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Use%22">Computer Use</searchLink><br /><searchLink fieldCode="DE" term="%22Incidence%22">Incidence</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Program+Divisions%22">Instructional Program Divisions</searchLink>
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  Data: 2147-611X
– Name: Abstract
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  Data: The purpose of this study is to examine the level of artificial intelligence readiness and artificial intelligence literacy of pre-service mathematics teachers in relation to various variables, and to identify the relationship between these skills. The present study's sample comprised 164 pre-service mathematics teachers. The "Artificial Intelligence Readiness" and "Artificial Intelligence Literacy" scales were utilised as data collection tools. Statistical Package for the Social Sciences (SPSS) software was then deployed in order to facilitate data analysis, with the following analyses being conducted: independent sample t-tests, one-way analysis of variance (ANOVA), correlation analysis and regression analysis. The findings of the study demonstrated that preservice mathematics teacher candidates exhibited a high level of both artificial intelligence readiness and literacy. Moreover a high level of positive and significant statistical relationship is demonstrated between artificial intelligence literacy and readiness. It was revealed that artificial intelligence literacy is responsible for Keywords explaining approximately 55% of the variance in artificial intelligence readiness.
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      – Text: English
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      Pagination:
        PageCount: 20
        StartPage: 457
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technological Literacy
        Type: general
      – SubjectFull: Digital Literacy
        Type: general
      – SubjectFull: Preservice Teachers
        Type: general
      – SubjectFull: Mathematics Teachers
        Type: general
      – SubjectFull: Readiness
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Gender Differences
        Type: general
      – SubjectFull: Computer Use
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      – SubjectFull: Incidence
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      – SubjectFull: Student Attitudes
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