Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Integrating ChatGPT into the Inquiry-Based Science Curriculum for Primary Education
12
Zitationen
1
Autoren
2024
Jahr
Abstract
The integration of ChatGPT into an inquiry-based science curriculum for elementary school is investigated in this paper with an eye on increasing student involvement and learning results. Artificial intelligence-driven tools will help teachers enable individualized learning opportunities that foster young students’ critical thinking and curiosity. The study emphasizes the need for a solid basis in scientific education since it develops critical thinking and problem-solving abilities necessary to negotiate the natural world’s complexity. It also tackles the difficulties of using inquiry-based learning, including the pressure of standardized testing and the necessity of professional growth to provide instructors with successful approaches. The research concludes that including artificial intelligence in the classroom prepares students for a technologically driven future. It calls for careful evaluation of ethical consequences and thorough educator training to optimize its possible value. This research prepares the stage for following investigations on AI integration in different educational environments, possibly changing accepted teaching strategies.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.