Ground ethical inquiry into AI in the realities of teaching, assessment, leadership, and professional judgement rather than treating it as external compliance¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

Based on the bibliometric finding that AI ethics research is reorienting toward practice-based, interpretive, and relational frameworks, the article recommends that "ethical inquiry into AI must be grounded in the realities of teaching, assessment, leadership, and professional judgement, rather than treated as an external compliance requirement". It further suggests future research benefit from integrating bibliometric mapping with qualitative and interpretive investigations of how professionals interpret and enact AI ethics in real-world educational settings.

Design Implications¶

Context¶

Requirements¶

• Educational researchers adopting this approach should employ interpretive and qualitative methodologies, which the article finds central rather than peripheral in highly cited works

Constraints¶

• The article notes purely principle-based or compliance-driven approaches may overlook the complexity of professional decision-making in real-world contexts

Target Learners¶

• educational researchers
• teacher educators
• professionals integrating AI in education

Target Learning Goals¶

• ethically grounded AI integration in educational practice
• cultivating professional judgement

Affordances¶

• Three Orientation Ai Ethics Framework

Claims¶

• Teacher professional judgement is represented in AI ethics literature as an ethical and interpretive capacity central to responsible AI use, not a technical skill to be replaced [+W]

Related Strategies¶

• Systemic, human-centred approach treating digital data use as a school-and-teacher system, with AI integrated into professional development
• Define and Apply Ethical Responsibility
• Design AI-integrated, ethically grounded, and adaptable business education models guided by bibliometric evidence

Examples¶

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Key Sources¶

• Chamil Arkhasa Nikko Mazlan, Muhammad Atiullah Othman, Ahmad Rithaudin Md Noor, Surasak Jamnongsarn, Riyan Hidayatullah. (2026). From abstract ethics to situated practice: a bibliometric analysis of AI ethics and professional judgement. Educational technology research and development. https://doi.org/10.1007/s11423-026-10630-1