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<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Journal of Education Experiences</JournalTitle>
<Issn>3060-6535</Issn>
<Volume>9</Volume>
<Issue>2</Issue>
<PubDate PubStatus="epublish">
<Year>2026</Year>
<Month>12</Month>
<Day>31</Day>
</PubDate>
</Journal>
<ArticleTitle>Design a Curriculum Model for Artificial Intelligence (AI) Literacy for Student Teachers at Farhangian University</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.57647/jee.2026.0902.18</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Leila</FirstName>
<LastName>Razi</LastName>
<Affiliation>Department of Curriculum Planning, Lam.C. Islamic Azad University, Lamerd, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Sedigheh</FirstName>
<LastName>Mohamadjani</LastName>
<Affiliation>Department of Educational Sciences, Shi.C. Islamic Azad University, Shiraz, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Sepideh</FirstName>
<LastName>Safarpoor</LastName>
<Affiliation>Department of Educational Sciences, Lam.C. Islamic Azad University, Lamerd, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Aliasghar</FirstName>
<LastName>Mashinchi</LastName>
<Affiliation>Department of Educational Sciences, Lam.C. Islamic Azad University, Lamerd, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2026</Year>
<Month>12</Month>
<Day>31</Day>
</PubDate>
</History>
<Abstract>The purpose of this study was to design a curriculum model for artificial intelligence (AI) literacy for student teachers at Farhangian University. A qualitative approach and meta-synthesis method were adopted. The research corpus consisted of articles from reputable journals and theses on AI literacy curricula for student teachers, using qualitative or mixed methods, published between 2015 and 2025. Purposeful sampling was employed. Inclusion criteria included thematic relevance, inclusion of research keywords, methodological quality, and data comprehensiveness. Following the PRISMA checklist and a two-stage screening process, 36 studies meeting over 80% of the criteria were included. Data analysis was conducted using Attride-Stirling thematic network method with MAXQDA 24 software. Trustworthiness was ensured through researcher self-review, data triangulation, and Cohen’s kappa coefficient. A total of 175 basic themes, 37 organizing themes, and 10 global themes were identified as curriculum components: Curriculum Rationale, Objectives, Content, Instructor’s Role, Teaching-Learning Activities, Time, Place and Space, Materials and Resources, Learner Characteristics, and Assessment and Evaluation. Given the model’s comprehensiveness, it can serve as a foundational framework for AI literacy curricula for student teachers at Farhangian University.</Abstract>
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<Object Type="keyword">
<Param Name="value">Artificial Intelligence</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Artificial Intelligence Literacy</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Student Teacher</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Artificial Intelligence Literacy Curriculum</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Farhangian University</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>