Teaching in Today’s World
A Marxian Critique of AI in Education
Bibliographic Data
| ID | 12839504 |
|---|---|
| Authors | Ahmet Küçükuncular (0009-0002-6771-1811), Ahmet Ertugan (0000-0001-6684-7042) |
| Year | 2025 |
| Volume | 24 |
| Issue | 1 |
| Publication date | 2025-11-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Academic Ethics (JOURNAL) |
| Journal identifiers | ISSN: 1570-1727 • E-ISSN: 1572-8544 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10805-025-09692-2 |
| OpenAlex | W4415779023 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
The Early Marx
A Unified Framework of Five Principles for AI in Society
Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach
Principles alone cannot guarantee ethical AI
Deep learning goes to school
An Entangled Pedagogy
Historical threads, missing links, and future directions in AI in education
Why Read Marx Today
Humans and Machines at Work
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |