Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Shaping Integrity: Why Generative Artificial Intelligence Does Not Have to Undermine Education
3
Zitationen
2
Autoren
2024
Jahr
Abstract
This paper examines the role of generative artificial intelligence (GAI) in promoting academic integrity within educational settings. It explores how AI can be ethically integrated into classrooms to enhance learning experiences, foster intrinsic motivation, and support voluntary behavior change among students. By analyzing established ethical frameworks and educational theories such as deontological ethics, consequentialism, constructivist learning, and Self-Determination Theory (SDT), the paper argues that GAI, when used responsibly, can enhance digital literacy, encourage genuine knowledge construction, and uphold ethical standards in education. This research highlights the potential of GAI to create enriching, personalized learning environments that prepare students to navigate the complexities of the modern world ethically and effectively.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.439 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.315 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.756 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.526 Zit.