ME+AI 2021: Mathematics Education in the age of Artificial Intelligence - Chapter submission |
Submission link | https://easychair.org/conferences/?conf=meai2021 |
Submission deadline | October 31, 2020 |
Review notification | December 18, 2020 |
Final of review process | January 31, 2021 |
General information
Title
Mathematics Education in the age of Artificial Intelligence - How artificial intelligence can serve the mathematical human learning
Editorial
Springer Nature - Mathematics Education in the Digital Era Series. (https://www.springer.com/series/10170)
Guest Editors
Philippe R. Richard (Université de Montréal)
María Pilar Vélez Melón (Universidad Antonio de Nebrija)
Steven Van Vaerenbergh (Universidad de Cantabria)
Aims and scope
The historical link between Artificial Intelligence (AI) and Mathematics Education (ME) is well established. One example is the book Didactique et intelligence artificielle, published almost 25 years ago in the journal Recherches en didactique des mathématiques. At that time, AI's progress had paved the way for a vigorous research stream for the development of technology-enhanced learning. But after a first period of enthusiasm, when we thought we would soon be able to do incredible things, we went through a somewhat darker period of disillusionment where we realized that we had underestimated a little bit the difficulties. Today, the lA joins ME with its approaches through solving of non-routine problems, which go through phases of problematization, modelling and prediction that evoke both mathematical work and instrumented learning. Beyond the simple use of technology, and to limit themselves to two recent examples, intelligent tutorial systems and automated reasoning tools complete the arsenal of means available to contemporary teachers.
This book aims to be the result of research and reflection that aims to better understand the interconnected challenges of instrumented learning of mathematics and instrumented mathematics, taking advantage of the achievements and opportunities: 1) of the artificial intelligence for mathematics education; 2) of the unifying ideas supported by the notion of mathematical work that has emerged in a dynamic of international collaboration; 3) of new mathematics that is being made and worked on in today's world. Compared to the thematic books we often find in education, which focus on artificial intelligence only from the point of view of usage, leading us to the mistaken belief that human beings must subordinate themselves to it, our work begins with those who make artificial intelligence and who seek to adapt it to humans. It must also find new ways to combine the theories and expertise needed to think about systems or techniques that can perform tasks that normally require human intelligence, including the automation of certain tasks, and activities associated with human reasoning such as decision-making, learning and problem solving. Although the questions asked come from research at the intersection of mathematics, computer science and mathematics education, and the topics covered are of a multidisciplinary nature, the book is naturally open to contributions from mathematics teachers, trainers and researchers in all three areas.
Submission Guidelines
Contributions are by invitation. Papers must not duplicate work already published or submitted for publication elsewhere. All the papers will be refereed according to the Springer Nature standards. Authors are invited to submit their full chapter on October 31, 2020.
Templates (LaTeX, Word, etc.) : Springer Nature template available here (navigate to "LaTeX template" > "contributed books" and use the files in the "author" folder of the zip file).
Important dates:
-
Full Chapter Submission deadline: Extended to October 31, 2020
-
Review Notification: December 18, 2020
-
Submission of revised manuscripts: January 31, 2020
-
Delivery of the final manuscript by the Editors to the Publisher: February, 2021
-
Springer revision and Proofreading
-
Publication: Spring 2021