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AI and Data Literacy: Challenges and Opportunities for Teachers and Students

Author

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  • Vasileios Kasapidis

    (University of the Aegean, Greece)

  • Argyroula Petrou

    (University of the Aegean, Greece)

  • Kostas Kostalias

    (University of the Aegean, Greece)

  • Niki Paschalina Konstantinidi

    (University of the Aegean, Greece)

  • Eleni Kakogianni

    (University of the Aegean, Greece)

Abstract

This article explores the evolution, impact, and challenges of artificial intelligence (AI) in education. It defines AI and machine learning, tracing their historical development from the Turing Test to modern Large Language Models (LLMs) like ChatGPT and Gemini. The discussion highlights AI’s transformative role in education, emphasizing the need for data literacy and AI literacy among educators and students and introduces the AI Literacy Framework, outlining key competencies necessary for effective AI integration in learning environments. Additionally, the article critiques traditional educational methods in the AI era, advocating for experiential and personalized learning approaches. While AI presents both opportunities and risks—such as ethical concerns and academic integrity issues—the article underscores the irreplaceable value of human intelligence, creativity, and critical thinking.

Suggested Citation

  • Vasileios Kasapidis & Argyroula Petrou & Kostas Kostalias & Niki Paschalina Konstantinidi & Eleni Kakogianni, 2025. "AI and Data Literacy: Challenges and Opportunities for Teachers and Students," European Journal of Education and Pedagogy, European Open Science, vol. 6(3), pages 7-11, May.
    • Handle: RePEc:epw:ejedu0:v:6:y:2025:i:3:id:30957
    DOI: 10.24018/ejedu.2025.6.3.957
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