A Classification of Artificial Intelligence Systems for Mathematics Education
Steven Van Vaerenbergh, Adri\'an P\'erez-Suay

TL;DR
This paper classifies AI systems used in digital mathematics education tools, analyzing current technologies, their capabilities, limitations, and future prospects, with a focus on applications like AI calculators and tutoring systems.
Contribution
It provides a comprehensive taxonomy of AI tools in mathematics education and details their application in calculators and tutoring systems, clarifying current capabilities and future directions.
Findings
AI tools are categorized into a high-level taxonomy for education applications.
ML is actively used in AI calculators and intelligent tutoring systems.
Discussion on student modeling and its relation to artificial general intelligence.
Abstract
This chapter provides an overview of the different Artificial Intelligence (AI) systems that are being used in contemporary digital tools for Mathematics Education (ME). It is aimed at researchers in AI and Machine Learning (ML), for whom we shed some light on the specific technologies that are being used in educational applications; and at researchers in ME, for whom we clarify: i) what the possibilities of the current AI technologies are, ii) what is still out of reach and iii) what is to be expected in the near future. We start our analysis by establishing a high-level taxonomy of AI tools that are found as components in digital ME applications. Then, we describe in detail how these AI tools, and in particular ML, are being used in two key applications, specifically AI-based calculators and intelligent tutoring systems. We finish the chapter with a discussion about student modeling…
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics
