Mathematics and Education in an AI Era: Cognitive Science, Technological, and Semiotic Perspectives (Mathematics in Mind)

Mathematics and Education in an AI Era: Cognitive Science, Technological, and Semiotic Perspectives (Mathematics in Mind)

Mathematics and Education in an AI Era: Cognitive Science, Technological, and Semiotic Perspectives (Mathematics in Mind)

by: Dragana Martinovic (Editor), Marcel Danesi (Editor)

Publisher: Springer

Publication Date: 2025-04-26

Language: English

Print Length: 180 pages

ISBN-10: 3031806956

ISBN-13: 9783031806957

Book Description

This book focuses on the potential contributions of Artificial Intelligence (AI) for enhancing mathematics education. It includes rationales for an AI-oriented pedagogical model, such as interdisciplinarity and even sensitivity to crucial world issues, such as climate change.The chapters in this book highlight what the new age of mathematics education entails concretely, covering themes from the utilization of AI directly into classroom pedagogy and the semiotic consequences of what this entails, to how mathematics training can be tailored to get students to relate concretely to problems of climate change, and to understand the relevance of the differences between symmetry and asymmetry as psychological constructs. The overall picture we can glean from these chapters is not mere eclecticism, but an integration of disciplinary perspectives into a holistic framework that has great relevance and resonance for mathematics education in the age of AI.

Editorial Reviews

This book focuses on the potential contributions of Artificial Intelligence (AI) for enhancing mathematics education. It includes rationales for an AI-oriented pedagogical model, such as interdisciplinarity and even sensitivity to crucial world issues, such as climate change.The chapters in this book highlight what the new age of mathematics education entails concretely, covering themes from the utilization of AI directly into classroom pedagogy and the semiotic consequences of what this entails, to how mathematics training can be tailored to get students to relate concretely to problems of climate change, and to understand the relevance of the differences between symmetry and asymmetry as psychological constructs. The overall picture we can glean from these chapters is not mere eclecticism, but an integration of disciplinary perspectives into a holistic framework that has great relevance and resonance for mathematics education in the age of AI.

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