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Synapse
March 30, 20260 citationsOpen Access

Üretken Yapay Zeka Etik Farkındalık ve Sorumluluk Ölçeği (GenAI-EARS)

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ŞYŞule Çınar YağcıAOAli ORHANTYTugba Aydın Yıldız

Key Points

  • This research aims to develop and validate a scale measuring ethical awareness and responsibility related to generative artificial intelligence in education.
  • Qualitative approach to identify key ethical dimensions in education
  • Development of the scale through iterative feedback
  • Validation through expert reviews and pilot testing
  • The developed scale effectively measures ethical awareness and responsibility
  • Identified significant gaps in awareness levels among educators
  • Recommendations for enhancing ethical training and responsibility in AI usage

Abstract

Çinar Yağci, Ş., Orhan, A., Aydin Yildiz, T., & Bozkurt, A. (2026). Generative artificial intelligence in education: development and validation of a scale for ethical awareness and responsibility. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2026.2617482

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Cite This Study

Yağcı et al. (2026) studied this question.

synapsesocial.com/papers/69c9c5a4f8fdd13afe0bdaf9https://doi.org/10.5281/zenodo.19269451
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Generative Artificial Intelligence Ethical Awareness and Responsibility Scale (GenAI-EARS)2026
  2. 2Generative Artificial Intelligence Ethical Awareness and Responsibility Scale (GenAI-EARS)2026
  3. 3A Study of Academics’ Perceptions of Ethical Implications of Generative Artificial Intelligence on Scientific Research and Publishing2025
  4. 4Turkish adaptation of the artificial intelligence ethics scale (EAI): a validity and reliability study for nursing students2025
  5. 5Measuring Socio‐Ethical Engagement with Generative <scp>AI</scp>: Scale Development via Exploratory Factor Analysis2025 · 2 citations