*학술저널*

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*The Perceptions of AI of Teachers in Mathematics Education*

- 한국아세아태평양교육문화융복합학회
- Asia Pacific Journal of Teaching and Learning
- 제2권 제1호
- 2022.03
- 17 - 31 (15 pages)

Purpose The purpose of this paper is to investigate the perceptions of AI(artificial intelligence) of Korean teachers in mathematics education. It is important to maximize the effectiveness of mathematics education when considering the fusion of mathematics education and artificial intelligence. In this study, the perceptions of teachers in elementary and secondary schools on how each function of AI can be fused into mathematics education was analyzed, and suggested implications to construct an AI system. Method Researcher employed a survey to investigate the perceptions of AI of teachers in mathematics education. Researcher conducted a survey with 174 teachers from October 16 to October 24 in 2020. The questionnaire consisted of 11 questions on the difficulty of mathematics teaching, the actual status of online and offline mathematics teaching, the effect and necessity of online teaching, and the functions to recommend. The survey results were categorized by Likert scale. Results In the difficulty of mathematics teaching, the teachers who participated in the survey felt a little less difficult to teach mathematics as a whole. In the reasons of difficulties, there are relatively few responses that they had difficulty in teaching mathematics due to the level and quantity of mathematics and content that they had to teach at school. The preferred teaching is offline teaching due to lack of equipment and proper online mathematics programs. In the descriptive opinions of AI functions of AI systems, teachers suggested various diagnostic function, evaluative function, adaptive teaching function, error identification and correction function, collaboration function, and instructional management function. Conclusion The conclusion of this study is that teachers want the AI mathematics learning system to be developed in the direction of overcoming the limitations of offline public education. The requirements for AI systems are different depending on the school level. At a time when remote classes are generalized, AI systems need to include manipulation activities using AR/VR. Teachers thought that using AI should be based on huge cloud-based big data and have an open source so that the platform can be continuously improved like Google.

I. Introduction

II. Theoretical Background

III. Method

IV. The Perceptions of AI of Teachers

V. Conclusions