[논문]A Study on the Current State of Artificial Intelligence Based Coding Technologies and the Direction of Future Coding Education

Jung, Hye-Wuk

doi:10.17703/ijact.2020.8.3.186

A Study on the Current State of Artificial Intelligence Based Coding Technologies and the Direction of Future Coding Education 원문보기

The International journal of advanced culture technology, v.8 no.3, 2020년, pp.186 - 191

Jung, Hye-Wuk (Dept. of College of Liberal Arts and Interdisciplinary Studies, Kyonggi University)

Abstract ▼ AI-Helper

Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.

주제어

표/그림 (3)

그림 Figure 1. Relation of narrow AI and general AI
그림 Figure 2. Coding kit of makeblock neuron
그림 Figure 3. Example of C++ program by visual studio intellicode

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

Since these coding technologies are used as educational tools for infants and toddlers or are specialized for users who have basic program knowledge, ways to enable those users who encounter programs for the first time to easily use AI based coding technologies are necessary. Therefore, this study examined cases of AI based coding technologies and suggested the direction of future coding education. It is very important for students who receive coding education for the first time to fully understand and become familiar with coding technologies.

제안 방법

Kite's code autocomplete feature uses a machine learning model created by exploring the Python codes published on Github. This model learns the abstract syntax tree obtained from the codes to understand the intention and context of some codes to provide the autocomplete feature for common code patterns based on how the user and other developers have written codes in the past [13].

후속연구

Therefore, it is very important to enable students to learn coding technologies more easily [5]. In order to seek improvement of these problems, this study intends to examine the current state of AI based coding technologies used for software learning or development and to suggest the direction of future coding education.

참고문헌 (19)

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상세보기
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