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The Role of Artificial Intelligence in the Academic Work of Preservice Teachers

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Title: The Role of Artificial Intelligence in the Academic Work of Preservice Teachers
Language: English
Authors: Haley M. Olson, Emily Cline
Source: Advocate. 2025 30(2).
Availability: The Advocate. Available from: New Prairie Press, Center for the Advancement of Digital Scholarship, Kansas State University Libraries. 2123 College of Business Administration, Manhattan, KS 66506. Web site: https://atekan.weebly.com/journal.html; Web site: https://newprairiepress.org/advocate/
Peer Reviewed: Y
Page Count: 18
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Elementary Education
Descriptors: Artificial Intelligence, Preservice Teachers, Preservice Teacher Education, Technology Integration, Metacognition, Student Attitudes, Methods Courses, Public Colleges, Teacher Education Programs, Elementary Education, Teaching Methods, Performance, Learning Experience
ISSN: 2637-4552
Abstract: The integration of artificial intelligence (AI) into higher education has rapidly transformed the learning environment, with significant implications for pre-service teacher education. AI tools such as adaptive learning platforms and virtual simulations offer opportunities to enhance instructional design and develop essential teaching competencies. At the same time, challenges related to data privacy and equitable access underscore the need for careful implementation. This study examined pre-service teachers' use of AI in education methods courses, with the dual aim of understanding their perceptions of AI's impact on learning and exploring the relationship between academic and everyday AI use. Participants completed the EDUCAUSE AI Landscape Study Survey Instrument (Robert, 2024). Descriptive and correlational analyses revealed that while a majority of students reported limited AI use, a strong positive relationship was found between AI use in academic and everyday contexts. These findings suggest that educator preparation programs carry important implications for redesigning teacher education curricula to prepare future educators for AI-rich classroom environments while maintaining high standards of academic integrity.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1493235
Database: ERIC
FullText Text:
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  Data: <searchLink fieldCode="AR" term="%22Haley+M%2E+Olson%22">Haley M. Olson</searchLink><br /><searchLink fieldCode="AR" term="%22Emily+Cline%22">Emily Cline</searchLink>
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  Data: The Advocate. Available from: New Prairie Press, Center for the Advancement of Digital Scholarship, Kansas State University Libraries. 2123 College of Business Administration, Manhattan, KS 66506. Web site: https://atekan.weebly.com/journal.html; Web site: https://newprairiepress.org/advocate/
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  Data: The integration of artificial intelligence (AI) into higher education has rapidly transformed the learning environment, with significant implications for pre-service teacher education. AI tools such as adaptive learning platforms and virtual simulations offer opportunities to enhance instructional design and develop essential teaching competencies. At the same time, challenges related to data privacy and equitable access underscore the need for careful implementation. This study examined pre-service teachers' use of AI in education methods courses, with the dual aim of understanding their perceptions of AI's impact on learning and exploring the relationship between academic and everyday AI use. Participants completed the EDUCAUSE AI Landscape Study Survey Instrument (Robert, 2024). Descriptive and correlational analyses revealed that while a majority of students reported limited AI use, a strong positive relationship was found between AI use in academic and everyday contexts. These findings suggest that educator preparation programs carry important implications for redesigning teacher education curricula to prepare future educators for AI-rich classroom environments while maintaining high standards of academic integrity.
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      – Text: English
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        PageCount: 18
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      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Preservice Teachers
        Type: general
      – SubjectFull: Preservice Teacher Education
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      – SubjectFull: Technology Integration
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      – SubjectFull: Teaching Methods
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      – SubjectFull: Learning Experience
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              Y: 2025
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