Mathematics education in the age of artificial intelligence: how artificial intelligence can serve mathematical human learning / Philippe R. Richard, M. Pilar Vélez, Steven Van Vaerenbergh, editors.
Richard, Philippe R., editor.; Vélez, M. Pilar, editor.; Vaerenbergh, Steven van, editor.
2022
QA20.C65
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Title
Mathematics education in the age of artificial intelligence: how artificial intelligence can serve mathematical human learning / Philippe R. Richard, M. Pilar Vélez, Steven Van Vaerenbergh, editors.
ISBN
9783030869090 (electronic bk.)
3030869091 (electronic bk.)
3030869083
9783030869083
DOI
https://doi.org/10.1007/978-3-030-86909-0
Publication Details
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-86909-0 doi
Call Number
QA20.C65
Dewey Decimal Classification
510.71
Summary
This book highlights the contribution of artificial intelligence for mathematics education. It provides concrete ideas supported by mathematical work obtained through dynamic international collaboration, and discusses the flourishing of new mathematics in the contemporary world from a sustainable development perspective. Over the past thirty years, artificial intelligence has gradually infiltrated all facets of society. When it is deployed in interaction with the human designer or user, AI certainly raises new ethical questions. But as soon as it aims to augment intelligence in a kind of human-machine partnership, it goes to the heart of knowledge development and the very performance of work. The proposed themes and the sections of the book address original issues relating to the creation of AI milieus to work on mathematics, to the AI-supported learning of mathematics and to the coordination of usual paper/pencil techniques and new AI-aided educational working spaces. The authors of the book and the coordinators of each section are all established specialists in mathematics didactics, mathematics and computer science. In summary, this book is a must-read for everyone interested in the teaching and learning of mathematics, and it concerns the interaction between the human and the machine in both directions. It contains ideas, questions and inspiration that invite to take up the challenge of Artificial Intelligence contributing to Mathematical Human Learning.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 18, 2022).
Added Author
Richard, Philippe R., editor.
Vélez, M. Pilar, editor.
Vaerenbergh, Steven van, editor.
Series
Mathematics education in the digital era ; v. 17. 2211-8144
Available in Other Form
Print version: 9783030869083
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Part I: Creation of AI milieus to work on mathematics
Chapter 1. Evolution of automatic proving and reasoning technologies and dynamics in geometry
Chapter 2. Exploring dynamic geometry through immersive virtual reality
Chapter 3. Computing power and automated reasoning tools for performing mathematical work
Chapter 4. Designing atutorial system for learning mathematics
Chapter 5. Technological innovations in math education to foster creativities in schools in the era of artificial intelligence
Part II: AI-supported learning of mathematics
Chapter 6. Classroom Implementation of STEAM Education through IA and other technology
Chapter 7. Understanding and creating to better understand instrumented reasoning using tools and IA devices
Chapter 8. Automated exploration in mathematics
Chapter 9. Artificial intelligence and mathematics working over monuments and other realities
Chapter 10. Emerging technologies and emerging types of learning in mathematics education
Part III: Coordinating usual paper/pencil techniques and new AI-aided educational working spaces
Chapter 11. Digital technology and its various uses from the instrumental perspective
Chapter 12. Innovative CAS technology use in mathematics teaching and assessment
Chapter 13. Learning itineraries in pre-service teachereducation
Chapter 14. One method of trisecting an angle and its interpretation for teaching purposes using a dynamic geometry and computer algebra system
Chapter 15. Rearrangement method for area of a circle: complex paths from historical roots to modern visual and dynamic models in discovery-based teaching approach
Chapter 16. Teaching Programming to Mathematical Scientists
Conclusion.

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