Titlebook: Mathematics (Education) in the Information Age; Stacy A. Costa,Marcel Danesi,Dragana Martinovic Book 2020 Springer Nature Switzerland AG 2

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An Unsupervised Approach to User Characterization in Online Learning and Social Platforms,task common to all on-line social platforms and that is the task of user characterization. For example, automatically identify a spammer or a bot on Twitter, or a disengaged student in an e-learning platform.

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Mathematics, Statistics, and Sports,ionship to mathematics and statistics, games, sports, sports wagering, and the most popular sports in North America (American football, basketball, and major league ball). It addresses how sports information can provide the basis for mathematical and statistical problem-solving with selected examples.

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Procedural Steps, Conceptual Steps, and Critical Discernments: A Necessary Evolution of School Mathfied to involve certified teachers, accredited curricula, and institutionalized settings. But there were also some unexpected elements. In particular, not many educational leaders expected a prominent—but unexplained and unjustified—statistic asserting that 75–85% of one’s learning is other than formal.

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Experimental Mathematics: Overview and Pedagogical Implications,qually, the Computer Age. If an AI system can be devised to come up with a truly intelligent move in the game of Go, previously unbeknownst to humans, then the question arises: Can AI do creative mathematics? A positive answer does not seem to be beyond the realm of possibility.

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Book 2020rch on how mathematics and its learning and teaching are evolving in the Information Age. Given the ever-broadening trends in Artificial Intelligence and the processing of information generally, the aim is to assess their implications for how math is evolving and how math should now be taught to a g

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