Providing a Qualitative Framework for the Ethical Requirements of Artificial Intelligence in Education
Keywords:
Ethical Requirements, Artificial Intelligence, EducationAbstract
This study aims to develop a qualitative and context-sensitive framework for explaining the ethical requirements of artificial intelligence application in education based on the lived experiences of educational experts and stakeholders. This applied qualitative study was conducted using a systematic grounded theory approach; data were collected through semi-structured interviews with 23 experts in educational ethics, artificial intelligence, and educational administration, selected via snowball sampling until theoretical saturation, and analyzed through open, axial, and selective coding. Data analysis resulted in a paradigmatic model comprising 100 open codes and 22 axial codes, organized around a core phenomenon and including causal conditions, contextual factors, intervening conditions, strategic actions, and consequential outcomes that collectively explain the ethical governance of AI in education. The proposed framework demonstrates that ethical considerations in educational artificial intelligence are foundational to sustainable innovation and effective learning systems, offering a robust basis for ethical policymaking, system design, and responsible implementation in education.
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