• Title/Summary/Keyword: AI coding assistant

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

  • Jung, Hye-Wuk
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.186-191
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    • 2020
  • 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.

Analysis of ChatGPT's Coding Capabilities in Foundational Programming Courses (기초 프로그래밍 과목에서의 ChatGPT의 코딩 역량 분석)

  • Nah, Jae-Ho
    • Journal of Engineering Education Research
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    • v.26 no.6
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    • pp.71-78
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    • 2023
  • ChatGPT significantly broadens the application of artificial intelligence (AI) services across various domains, with one of its primary functions being assistance in programming and coding. Nevertheless, due to the short history of ChatGPT, there have been few studies analyzing its coding capabilities in Korean higher education. In this paper, we evaluate it using exam questions from three foundational programming courses at S University. According to the experimental results, ChatGPT successfully generated Python, C, and JAVA programs, and the code quality is on par with that of high-achieving students. The powerful coding capabilities of ChatGPT imply the need for a strict prohibition of its usage in coding tests; however, it also suggests significant potential for enhancing practical exercises in the educational aspect.

Software Education Class Model using Generative AI - Focusing on ChatGPT (생성형 AI를 활용한 소프트웨어교육 수업모델 연구 - ChatGPT를 중심으로)

  • Myung-suk Lee
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.275-282
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    • 2024
  • This study studied a teaching model for software education using generative AI. The purpose of the study is to use ChatGPT as an instructor's assistant in programming classes for non-major students by using ChatGPT in software education. In addition, we designed ChatGPT to enable individual learning for learners and provide immediate feedback when students need it. The research method was conducted using ChatGPT as an assistant for non-computer majors taking a liberal arts Python class. In addition, we confirmed whether ChatGPT has the potential as an assistant in programming education for non-major students. Students actively used ChatGPT for writing assignments, correcting errors, writing coding, and acquiring knowledge, and confirmed various advantages, such as being able to focus on understanding the program rather than spending a lot of time resolving errors. We were able to see the potential for ChatGPT to increase students' learning efficiency, and we were able to see that more research is needed on its use in education. In the future, research will be conducted on the development, supplementation, and evaluation methods of educational models using ChatGPT.

The Use of AI Chatbot as An Assistant Tool for SW Education (SW 교육 보조 도구로서의 AI 챗봇 활용)

  • Choi, Seo-Won;Nam, Jae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1693-1699
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    • 2019
  • The recent software education in middle schools is focused on physical computing, unplugged learning and pilot training. However, they are struggling in many ways, including cost, inducement of interest, motivation, and concentration. Also, the lack of systematic classroom design could make negative effect to students' understanding of classes or academic performance. In this paper, we intend to study the method of algorithm education using Chatbot system, which will increase efficiency of software education, with less burdensome in terms of cost, and also could be able to used as an assist tool in various classes. In class scenarios that require the understanding of coding mechanisms such as function application, algorithm design, and program coding, students can learn by themselves through the Chatbot system, which has a positive effect on student learning.

Artificial Intelligence and College Mathematics Education (인공지능(Artificial Intelligence)과 대학수학교육)

  • Lee, Sang-Gu;Lee, Jae Hwa;Ham, Yoonmee
    • Communications of Mathematical Education
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    • v.34 no.1
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    • pp.1-15
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    • 2020
  • Today's healthcare, intelligent robots, smart home systems, and car sharing are already innovating with cutting-edge information and communication technologies such as Artificial Intelligence (AI), the Internet of Things, the Internet of Intelligent Things, and Big data. It is deeply affecting our lives. In the factory, robots have been working for humans more than several decades (FA, OA), AI doctors are also working in hospitals (Dr. Watson), AI speakers (Giga Genie) and AI assistants (Siri, Bixby, Google Assistant) are working to improve Natural Language Process. Now, in order to understand AI, knowledge of mathematics becomes essential, not a choice. Thus, mathematicians have been given a role in explaining such mathematics that make these things possible behind AI. Therefore, the authors wrote a textbook 'Basic Mathematics for Artificial Intelligence' by arranging the mathematics concepts and tools needed to understand AI and machine learning in one or two semesters, and organized lectures for undergraduate and graduate students of various majors to explore careers in artificial intelligence. In this paper, we share our experience of conducting this class with the full contents in http://matrix.skku.ac.kr/math4ai/.