Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Generative AI’s particular contributions to Knowledge Building
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Although generative artificial intelligence (GenAI) has relevance to education broadly, it is especially in harmony with Knowledge Building. Both are concerned with community or public knowledge and are at their best when moving ideas along developmental pathways. Beyond subject-matter knowledge, GenAI can apply knowledge about knowledge, making it a valuable participant in Knowledge Building’s central task, knowledge creation. However, large language models like Chat GPT appear to have a strong bias toward rhetoric (presentation) rather than identifying “essences” and supporting explanatory coherence. We discuss needed research and design to take advantage of the Knowledge Building-AI affinity for idea improvement: Knowledge Building aims to position students to use AI to advance knowledge for public good. This implies a higher level of goal-directedness than is normally expected either in students or in AI, but a collaborative approach that draws on the strengths of students and Gen AI shows early signs of promise.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.490 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.376 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.832 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 · 5.553 Zit.