Proof Technology in Mathematics Research and Teaching

Author:   Gila Hanna ,  David A. Reid ,  Michael de Villiers
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   14
ISBN:  

9783030284855


Pages:   379
Publication Date:   18 October 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Proof Technology in Mathematics Research and Teaching


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Overview

This book presents chapters exploring the most recent developments in the role of technology in proving. The full range of topics related to this theme are explored, including computer proving, digital collaboration among mathematicians, mathematics teaching in schools and universities, and the use of the internet as a site of proof learning. Proving is sometimes thought to be the aspect of mathematical activity most resistant to the influence of technological change. While computational methods are well known to have a huge importance in applied mathematics, there is a perception that mathematicians seeking to derive new mathematical results are unaffected by the digital era. The reality is quite different. Digital technologies have transformed how mathematicians work together, how proof is taught in schools and universities, and even the nature of proof itself. Checking billions of cases in extremely large but finite sets, impossible a few decades ago, has now become a standard method of proof. Distributed proving, by teams of mathematicians working independently on sections of a problem, has become very much easier as digital communication facilitates the sharing and comparison of results. Proof assistants and dynamic proof environments have influenced the verification or refutation of conjectures, and ultimately how and why proof is taught in schools. And techniques from computer science for checking the validity of programs are being used to verify mathematical proofs. Chapters in this book include not only research reports and case studies, but also theoretical essays, reviews of the state of the art in selected areas, and historical studies. The authors are experts in the field. 

Full Product Details

Author:   Gila Hanna ,  David A. Reid ,  Michael de Villiers
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   14
Weight:   0.593kg
ISBN:  

9783030284855


ISBN 10:   3030284859
Pages:   379
Publication Date:   18 October 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Proposed Table of Contents I Challenges and promises of proof technology 1.      Gila, Michael, and David: Intro 2.      Freek Wiedijk: Machine proving 3.      Paolo Oliva: Proof Theory -- proof translations and interpretations 4.      Alison Pease: A systematic automated realisation of Lakatos’ theory 5.      Maria Paola Bonacina: Automated reasoning   II Teaching proving with technology – high-school and undergraduate levels   1.      Mikio Miyazaki: Web-based learning – proving in geometry (math ed) 2.      John Olive:  3.      Tina Rapke and Kitty Yan: Using cut-the-knot site to teach proof 4.      Keith Jones et al. 5.      A. Mariotti: 6. III Computer-assisted proof 1.      Ulrich Kortenkamp or someone who is an expert with Cinderellla 2.      Zoltán Kovács: Theorem proving with Geogebra (math ed) 3.      Heinz Schumann: ? 4.      Nicolas Balacheff: Something about his lab work relevant to proving 5.      Chantal Keller: 6.    IV Automated proof and Human-machine collaboration on proof Stephanie Dick: History of automated proof 2.      Jeremy Avigad: Machine proving; artificial intelligence; state of the art 3.      Mateja Jamnik:  Inductive theorem proving, heuristic guidance, proof planning (AI) 4.      Ursula Martin: Massive mathematical collaboration: producing novel proofs 5.      Frédéric Blanqui: 6.      More?

Reviews

This book is intended for specialists in mathematics education with an interest in computer science advances as well as for researchers in the field of automated reasoning with an interest in the pedagogical and didactic implications of their work. It provides a valuable contribution to mathematics education by initiating a process of in-depth reflection on the educational value of new technological tools such as automatic theorem provers and dynamic geometric environments. (Frederic Morneau-Guerin, MAA Reviews, May 24, 2020)


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