• Title/Summary/Keyword: AI-based educational platform

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AI-Based Educational Platform Analysis Supporting Personalized Mathematics Learning (개별화 맞춤형 수학 학습을 지원하는 AI 기반 플랫폼 분석)

  • Kim, Seyoung;Cho, Mi Kyung
    • Communications of Mathematical Education
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    • v.36 no.3
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    • pp.417-438
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    • 2022
  • The purpose of this study is to suggest implications for mathematics teaching and learning when using AI-based educational platforms that support personalized mathematics learning. To this end, we selected five platforms(Knock-knock! Math Expedition, knowre, Khan Academy, MATHia, CENTURY) and analyzed how the AI-based educational platforms for mathematics reflect the three elements(PLP, PLN, PLE) to support personalized learning. The results of this study showed that although the characteristics of PLP, PLN, and PLE implemented on each platform varied, they were designed to form PLEs that allow learners to make their autonomous decisions about learning based on PLP and PLN. The significance of this study can be found in that it has improved the understanding and practicability of personalized mathematics learning with the AI-based educational platforms.

A Study on Experts' Perception Survey on Elementary AI Education Platform (초등 AI 교육 플랫폼에 대한 전문가 인식조사 연구)

  • Lee, Jaeho;Lee, Seunghoon
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.483-494
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    • 2020
  • With the advent of the 4th Industrial Revolution, interest in AI education is increasing. In order to cultivate talented people with AI competencies who will lead the future, AI education must be conducted in a sound manner at the school site. Although AI education is being conducted at home and abroad, it was determined that the role of the AI education platform is important to implement better AI education, so this study investigated the perception of experts on the AI education platform. A perception survey was conducted based on five criteria: teaching and learning management, educational contents, accessibility, performance of AI education platform, and level suitability of elementary school students. As a results, the number of 103 educational experts selected 'Entry' as the most proper platform among the eight platforms - 'Machine learning for Kids', 'Teachable Machine', 'AI Oceans(code.org)', 'Entry', 'Genie Block', 'Elice', 'mBlock' and etc. Analysis shows that this is because 'Entry' provides quality educational content, has convenient accessibility, is easy to manage teaching and learning, as well as an AI education platform suitable for the level of elementary school. In order to apply various AI education platforms to the school field, it is necessary to train teachers in AI-related training to train them as AI education experts, and to continuously provide opportunities to experience AI education platforms. In this study, there are limitations to what is called 'a population perception survey'. because only 103 people were surveyed, and most of the experts are working in a specific area(Gyeonggi-do). In the future, it is judged that research targeting experts at the national level should be conducted to supplement these limitations.

Implementation of Cloud-Based Artificial Intelligence Education Platform (클라우드 기반 인공지능 교육 플랫폼 구현)

  • Wi, Woo-Jin;Moon, Hyung-Jin;Ryu, Gab-Sang
    • Journal of Internet of Things and Convergence
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    • v.8 no.6
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    • pp.85-92
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    • 2022
  • Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

Educational Programming Language based Deep AI Yourself Hands-on Platform for Machine Learning (머신러닝 학습을 위한 교육용 프로그래밍 언어 기반 Deep AI Yourself 실습 플랫폼)

  • Lee, Se-Hoon;Bak, Jeong-Jun;Lee, Myeong-Sung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.243-244
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    • 2020
  • 본 논문에서는 기존 AI 기능을 탑재한 교육용 프로그래밍 언어 기반의 서비스들의 문제점을 개선할 수 있는 머신러닝 학습을 위한 교육용 프로그래밍 언어 기반 실습 플랫폼을 제안한다. 이번 연구에서는 기존 교육용 프로그래밍 언어 기반 서비스의 대표주자인 Scratch 3.0과 Tensorflow를 접목하여 AI에 대한 높은 이해도를 가질 수 있도록 하는 학습 방향을 제시하고 Gray-Box 형태의 학습 모델 서비스를 구현한다.

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Development of Convergence Educational Program Using AI Platform: Focusing on Environmental Education for Grades 5-6 (인공지능 플랫폼을 활용한 융합수업안 개발 : 5-6학년 환경교육을 중심으로)

  • Choi, Heyoungyun;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.213-221
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    • 2021
  • With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

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An Analysis of Artificial Intelligence Education Research Trends Based on Topic Modeling

  • You-Jung Ko
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.197-209
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    • 2024
  • This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

A Study on the Educational Uses of Smart Speaker (스마트 스피커의 교육적 활용에 관한 연구)

  • Chang, Jiyeun
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.33-39
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    • 2019
  • Edutech, which combines education and information technology, is in the spotlight. Core technologies of the 4th Industrial Revolution have been actively used in education. Students use an AI-based learning platform to self-diagnose their needs. And get personalized training online with a cloud learning platform. Recently, a new educational medium called smart speaker that combines artificial intelligence technology and voice recognition technology has emerged and provides various educational services. The purpose of this study is to suggest a way to use smart speaker educationally to overcome the limitation of existing education. To this end, the concept and characteristics of smart speakers were analyzed, and the implications were derived by analyzing the contents provided by smart speakers. Also, the problem of using smart speaker was considered.

Development of An Intelligent G-Learning Virtual Learning Platform Based on Real Video (실 화상 기반의 지능형 G-러닝 가상 학습 플랫폼 개발)

  • Jae-Yeon Park;Sung-Jun Park
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.2
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    • pp.79-86
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    • 2024
  • In this paper, we propose a virtual learning platform based on various interactions that occur during real class activities, rather than the existing content delivery-oriented learning metaverse platform. In this study, we provide a learning environment that combines AI and a virtual environment to solve problems by talking to real-time AI. Also, we applied G-learning techinques to improve class immersion. The Virtual Edu platform developed through this study provides an effective learning experience combining self-directed learning, simulation of interest through games, and PBL teaching method. And we propose a new educational method that improves student participation learning effectiveness. Experiment, we test performance on learninng activity based on real-time video classroom. As a result, it was found that the class progressing stably.

Error Analysis of Recent Conversational Agent-based Commercialization Education Platform (최신 대화형 에이전트 기반 상용화 교육 플랫폼 오류 분석)

  • Lee, Seungjun;Park, Chanjun;Seo, Jaehyung;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.11-22
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    • 2022
  • Recently, research and development using various Artificial Intelligence (AI) technologies are being conducted in the field of education. Among the AI in Education (AIEd), conversational agents are not limited by time and space, and can learn more effectively by combining them with various AI technologies such as voice recognition and translation. This paper conducted a trend analysis on platforms that have a large number of users and used conversational agents for English learning among commercialized application. Currently commercialized educational platforms using conversational agent through trend analysis has several limitations and problems. To analyze specific problems and limitations, a comparative experiment was conducted with the latest pre-trained large-capacity dialogue model. Sensibleness and Specificity Average (SSA) human evaluation was conducted to evaluate conversational human-likeness. Based on the experiment, this paper propose the need for trained with large-capacity parameters dialogue models, educational data, and information retrieval functions for effective English conversation learning.

Development of Elementary School AI Education Contents using Entry Text Model Learning (엔트리 텍스트 모델 학습을 활용한 초등 인공지능 교육 내용 개발)

  • Kim, Byungjo;Kim, Hyenbae
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.65-73
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    • 2022
  • In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.