Skip to content

Department of Economics

· 0 citations · 22 references

TL;DR

It is argued that AI is not a neutral pedagogical tool but a sociotechnical infrastructure embedded in corporate power, data regimes, and the broader political economy of AI, developing a Moral-AI Pedagogy Framework embedding normative transparency, structured pluralism, critical AI literacy, and assessment reform centred on justificatory reasoning.

View source

Similar papers

Open access Aug 2026

Redesigning Ideological and Political Education Classrooms in the Generative AI Era: Innovation Pathways, Risk Boundaries, and Governance Principles

The main contribution is to argue that generative AI should not be positioned as an autonomous educational subject, but as a conditional medium that supports interpretation, deliberation, and responsible practice under curricular purpose, teacher judgment, transparent rules, critical AI literacy, and institutional safe...

Mei-Qi Liu · 0 citations
Aug 2026

Educational leadership in the age of artificial intelligence: The moral compass in the machine

This conceptual paper argues that traditional technology governance models are insufficient and that leaders must develop an augmented moral compass to navigate algorithmic decision-making, data governance, and equity and proposes an original Moral Compass Model.

Nashwa Ali · 0 citations
Review Open access Aug 2026

Posthuman Learning in the Age of AI: Rethinking Agency, Knowledge, and Policy in Architectural Education

A policy-oriented posthuman framework for interpreting AI integration in architectural pedagogy and translating it into responsible design education principles is developed, which clarifies the theoretical relevance of posthuman pedagogy for AI-supported architectural education.

Ha-Kan Tong, Ayşegül Kıdık, Sema Alaçam · 0 citations
#explainable ai Open access Oct 2026

Artificial intelligence in higher education assessment as an ecosystem of pedagogy governance and legitimacy

Artificial intelligence (AI) is rapidly reshaping higher education assessment through applications such as automated feedback, adaptive testing, learning analytics, automated scoring, and generative support. Yet scholarship on AI-enabled assessment remains fragmented across technical, pedagogical, ethical, governance,...

Joshua King Obeng-Nyarko · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.