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Barriers to AI Adoption in Education: Insights from Teacher's Perspectives

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  • Jamil Ahmed

    (Ph.D in Computer Science, Institute of Mathematics & Computer Science, University of Sindh,Jamshoro, Pakistan)

Abstract

Artificial intelligence in education is capable of offering significant benefits in the form of content generation, personalized learning, assistance in administration, and analytical reports.Despite the benefits, the integration of AI in education faces several challenges hindering itsintegration.Thebarriers to AI adoption in education are critical to explore, as they affectthe incorporation of innovative educational technologies. The study aimed to explore the perceived barriers to suggest practical recommendations to enable educators to embrace innovative AI technologies for teaching.This study employed a qualitative research design with a descriptive researchapproach. A purposive sampling method was applied to select public and private sector educators from schools, colleges, and universities in Pakistan. Data were collected using an open-ended questionnaire designed using Google Forms. Data were analyzed using thematic analysis to recognize and categorize patterns and themes in responses, gaining a thorough understanding of the key barriers to AI adoption. The insights revealed that integrating AI in education inherits barriers in user experience, technological, and skillslimitations, content reliability, privacy and securityconcerns, and overdependence on AI a riskto reducecreativity and learning.To overcome the barriers,clear ethical guidelines and policies, a balanced integration of AIwith pedagogy,AI literacy training,and support to enableteachers to effectively use AI in educationarerecommended

Suggested Citation

  • Jamil Ahmed, 2025. "Barriers to AI Adoption in Education: Insights from Teacher's Perspectives," International Journal of Innovations in Science & Technology, 50sea, vol. 7(1), pages 411-421, February.
    • Handle: RePEc:abq:ijist1:v:7:y:2025:i:1:p:411-421
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    File URL: https://journal.50sea.com/index.php/IJIST/article/view/1210/1737
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    References listed on IDEAS

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    1. Jackson, Denise & Allen, Christina, 2024. "Enablers, barriers and strategies for adopting new technology in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
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