The Mathematical Education (한국수학교육학회지시리즈A:수학교육)

Korean Society of Mathematical Education (한국수학교육학회)
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An analysis of discursive constructs of AI-based mathematical objects used in the optimization content of AI mathematics textbooks

인공지능 수학교과서의 최적화 내용에서 사용하는 인공지능 기반 수학적 대상들에 대한 담론적 구성 분석

  • Received : 2024.03.21
  • Accepted : 2024.05.03
  • Published : 2024.05.31
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Abstract

The purpose of this study was to reveal the discursive constructs of AI-based mathematical objects by analyzing how concrete objects used in the optimization content of AI mathematics textbooks are transformed into discursive objects through naming and discursive operation. For this purpose, we extracted concrete objects used in the optimization contents of five high school AI mathematics textbooks and developed a framework for analyzing the discursive constructs and discursive operations of AI-based mathematical objects that can analyze discursive objects. The results of the study showed that there are a total of 15 concrete objects used in the loss function and gradient descent sections of the optimization content, and one concrete object that emerges as an abstract d-object through naming and discursive operation. The findings of this study are not only significant in that they flesh out the discursive construction of AI-based mathematical objects in terms of the written curriculum and provide practical suggestions for students to develop AI-based mathematical discourse in an exploratory way, but also provide implications for the development of effective discursive construction processes and curricula for AI-based mathematical objects.

본 연구의 목적은 인공지능 수학교과서의 최적화 내용에서 사용하는 구체적 대상이 명명하기와 담론적 조작을 통해 담론적 대상으로 전환되는 과정을 분석함으로써 인공지능 기반 수학적 대상들에 대한 담론적 구성을 밝히는 것이었다. 이러한 목적을 달성하기 위해 5종의 고등학교 인공지능 수학교과서의 최적화 내용에서 사용하는 구체적 대상을 추출하고, 담론적 대상을 분석할 수 있는 인공지능 기반 수학적 대상들에 대한 담론적 구성과 담론적 조작 분석틀을 개발하였다. 연구 결과, 최적화 내용의 손실함수 단원과 경사하강법 단원에서 사용하는 구체적 대상은 총 15개였으며, 명명하기와 담론적 조작을 통해 추상적 담론 대상으로 창발하는 구체적 대상은 1개인 것으로 나타났다. 이러한 연구 결과는 문서화된 교육과정 측면에서 인공지능 기반 수학적 대상들에 대한 담론적 구성을 구체화하고 학생들이 인공지능 기반 수학적 담론을 탐구적으로 개발할 수 있는 실천 방안을 제공할 수 있다는데 그 의의가 있을 뿐 아니라, 인공지능 기반 수학적 대상에 대한 효과적인 담론적 구성과정과 교육과정 개발에 시사점을 제공할 수 있을 것이다.

Keywords

Acknowledgement

This research was supported by the College of Education, Korea university Grant in 2024.

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