• Title/Summary/Keyword: AI.디지털 교육

Search Result 120, Processing Time 0.028 seconds

Analysis of the Effects of Reading Education Using S-PUMA Teaching Method on Elementary Students' Literary Imagination and Computational Thinking (S-PUMA 교수법을 활용한 글 읽기 교육이 초등학생의 문학적 상상력과 컴퓨팅사고력에 미치는 영향 분석)

  • Eol Sohn;Youngsik Jeong
    • Journal of The Korean Association of Information Education
    • /
    • v.26 no.6
    • /
    • pp.567-577
    • /
    • 2022
  • Interest in AI and SW education is growing as digital literacy is emphasized in the revised elementary school curriculum for 2022. There are numerous restrictions on how pupils can enhance their digital literacy because there are only 34 class hours available for information education in elementary schools. Therefore, other subjects and information education must be blended in order to ensure class hours for AI and SW instruction. In this study, we investigated the impact of S-PUMA reading instruction on the literary imagination and computational thinking of elementary school pupils. To conduct this study, two classes of sixth graders in an elementary school were chosen and split into an experimental group and a control group. Over the course of five sessions, only the experimental group received reading instruction using the S-PUMA teaching approach. It was discovered that reading instruction with the S-PUMA teaching methodology enhanced literary imagination and computational thinking. Further study is required to identify whether the improvement in creative imagination, a component of literary imagination, is a result of the S-PUMA teaching approach or a natural result of the subject matter of the lesson.

Design of Elementary, Middle and High School SW·AI-based Learning Platform in IoT Environment (사물인터넷 환경에서의 초·중·고 SW·AI기반 학습 플랫폼 설계)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
    • /
    • v.9 no.1
    • /
    • pp.117-123
    • /
    • 2023
  • While applying new digital technologies, interest in software and artificial intelligence is quite high. In particular, many changes are being made for the development of software and artificial intelligence in the field of education. From 2025, software and artificial intelligence-related curricula will be applied to public education in elementary, middle and high schools. The Ministry of Education is also conducting various camps to experience software and artificial intelligence in various ways in elementary, middle and high schools before they are applied to public education. Several platforms for experience camps related to software and artificial intelligence are also being used. In this study, we intend to increase the educational efficiency of the learning method for software and artificial intelligence to be developed in the future by designing a model for software and artificial intelligence experiential learning platforms.

Case Study on the Digital Marketing Strategy of AI-Based K-Food: Focusing on the Setting of SEO and Persona to enter the North American Market with Vegan Food (AI기반 K-Food의 디지털 마케팅 전략 사례연구: 비건푸드의 북미시장 진출을 위한 SEO와 페르소나 설정을 중심으로)

  • Chae-Ah Lee;Jeana Lee;Da-Jeen Ahn;Han-Jin Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.24 no.5
    • /
    • pp.169-176
    • /
    • 2024
  • The global rise in popularity of Korean culture presents a opportunity to promote K-Food. This study explores the digital marketing strategy for a CES award-winning K-Food brand, aiming to translate this cultural interest into tangible consumer experiences. First, we searched for influential media(Bloomberg and VegNews) related to vegan food, based on Google in 2024, then analyzed 452 posts using API. Through this, we extracted high-engagement keywords related to "vegan," such as organic, sustainable, plant-based, diet, and keto. As a result of analyzing detailed region for targeting, we suggested that effectiveness could be maximized by focusing on cities on the west coast of the US. Through this research, we develop target consumer personas and propose effective marketing strategies.

A Case Study on Tangible Contents Development for Contactless Physical Education (비대면 체육 교육을 위한 실감 콘텐츠 개발 사례)

  • Eun, Kwang-Ha;Hur, Young
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.1
    • /
    • pp.47-57
    • /
    • 2022
  • Demands for tangible contents using VR/AR technologies are much bigger as contactless services such as sports, physical activity, and fitness are expanded after COVID-19. A variety of technologies such as an offer and analysis of tangible data through a sensor technology, users' physical movement sensing through a motion recognition sensor, a real-time measurement of a physical skeleton point a multiple access to a real-time video, and AI training are being utilized as main technologies. This case study utilized motion recognition technologies as the study on tangible contents necessary for indoor-based physical education, sports, and fitness in the contactless environment and suggested cases to develop the physical measurement contents by design approach for the measurement assessment necessary for the development in tangible contents. The research established lists of the measurement assessment based on professionals' consultations within the measurement assessment function through the test to plan tangible contents and developed tangible contents by reflecting them as assessment measurement elements of tangible contents. The research can be utilized as the design approach of industrial companies which intend to develop tangible contents as well as reference cases of the research on contactless tangible contents for the sports and physical education.

Development and evaluation of AI-based algorithm models for analysis of learning trends in adult learners (성인 학습자의 학습 추이 분석을 위한 인공지능 기반 알고리즘 모델 개발 및 평가)

  • Jeong, Youngsik;Lee, Eunjoo;Do, Jaewoo
    • Journal of The Korean Association of Information Education
    • /
    • v.25 no.5
    • /
    • pp.813-824
    • /
    • 2021
  • To improve educational performance by analyzing the learning trends of adult learners of Open High Schools, various algorithm models using artificial intelligence were designed and performance was evaluated by applying them to real data. We analyzed Log data of 115 adult learners in the cyber education system of Open High Schools. Most adult learners of Open High Schools learned more than recommended learning time, but at the end of the semester, the actual learning time was significantly reduced compared to the recommended learning time. In the second half of learning, the participation rate of VODs, formation assessments, and learning activities also decreased. Therefore, in order to improve educational performance, learning time should be supported to continue in the second half. In the latter half, we developed an artificial intelligence algorithm models using Tensorflow to predict learning time by data they started taking the course. As a result, when using CNN(Convolutional Neural Network) model to predict single or multiple outputs, the mean-absolute-error is lowest compared to other models.

Development and Application of Using SW Education Program for Non-Informatics Teachers on SW Education Teaching Specialization (비 정보과 교사의 소프트웨어 교육 수업 전문성 향상을 위한 연수 프로그램 개발 및 적용)

  • Hwang, Ji-Yeon;Lee, Dagyeom;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2022.07a
    • /
    • pp.389-390
    • /
    • 2022
  • 4차 산업혁명이 도래하여 사회 전반에서 혁신적인 변화가 일어났다. 이에 따라 2022 개정 교육과정에서는 미래 사회가 요구하는 소양 및 역량 강화를 위하여 인공지능(Artificial Intelligence, AI)·소프트웨어(Software, SW)교육을 비롯한 디지털 기초 소양을 강화하는 것을 개정의 중점으로 설정하였다. 이처럼 SW교육은 정보 관련 교과를 비롯한 타 교과에서도 중요하며 따라서 비 정보과 교사도 SW관련 교육 내용을 이해해야 할 필요가 있다. 본 연구에서는 비 정보과 교사에게 SW연수를 실시하였고, SW교육 수업 전문성의 변화를 살펴보았다. 그 결과 사전 검사에 비해 사후 검사 결과에서 통계적으로 유의한 상승을 확인하였다. 이는 SW연수가 비 정보과 교사의 SW교육 수업 전문성 함양에 긍정적인 영향을 준다는 것을 의미한다. 그러나 본 연구는 단일집단으로 이루어진 실험을 설계하여 실시하였으므로, 이러한 변화가 처치로 인한 것인지 확인할 수 없다는 한계점이 있다. 그러므로 통제 집단 및 실험 집단 선별 과정을 거친 후속 연구 설계가 요구된다.

  • PDF

Artificial Intelligence Microphone Utilization Model in Digital Education Environment (디지털 교육 환경에서의 인공 지능 마이크 활용 모델)

  • Nam, Ki-Bok;Park, Koo-Rack;Kim, Jae-Woong;Lee, Jun-Yeol;Kim, Dong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2019.01a
    • /
    • pp.17-18
    • /
    • 2019
  • 최근 4차 산업혁명의 핵심 분야 중 하나인 인공지능에 대한 많은 연구가 이루어지고 있다. 많은 기업들이 인공지능 스피커와 같은 제품을 출시하고 있으나 대부분 비서 역할만을 할 수 있도록 구성된 제품이 대부분이다. 그러나 학교와 같이 많은 사람이 존재하는 경우 시끄러운 환경에서 사용되고 있는 인공지능 스피커는 명령 인식이 제대로 되지 않아 실용도가 저하되는 단점을 가지고 있으며, 현재 인공지능 스피커는 단순한 질의응답 수준의 응대만 가능하여 다소 부족한 부분이 있다. 또한 인공지능의 급속한 발전으로 인공지능 스피커가 아닌 전자제품에 인공지능 비서 기능이 탑재된 제품도 새롭게 출시되어 인공지능 스피커가 필요 없을 수도 있기에, 본 논문에서는 학교와 같은 주변의 소음이 많이 발생하는 교육 환경에서도 소통이 가능한 인공지능 마이크를 활용할 수 있는 모델을 제안한다.

  • PDF

Digital Transformation: Using D.N.A.(Data, Network, AI) Keywords Generalized DMR Analysis (디지털 전환: D.N.A.(Data, Network, AI) 키워드를 활용한 토픽 모델링)

  • An, Sehwan;Ko, Kangwook;Kim, Youngmin
    • Knowledge Management Research
    • /
    • v.23 no.3
    • /
    • pp.129-152
    • /
    • 2022
  • As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

A Study on A Study on the University Education Plan Using ChatGPTfor University Students (ChatGPT를 활용한 대학 교육 방안 연구)

  • Hyun-ju Kim;Jinyoung Lee
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.1
    • /
    • pp.71-79
    • /
    • 2024
  • ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.

The Effect of Early Childhood Education and Care Institution's Professional Learning Environment on Teachers' Intention to Accept AI Technology: Focusing on the Mediating Effect of Science Teaching Attitude Modified by Experience of Using Smart·Digital Device (유아보육·교육기관의 교사 전문성 지원 환경이 유아교사의 인공지능 기술수용의도에 미치는 영향: 스마트·디지털 기기 활용 경험에 의해 조절된 과학교수태도의 매개효과를 중심으로)

  • Hye-Ryung An;Boram Lee;Woomi Cho
    • Korean Journal of Childcare and Education
    • /
    • v.19 no.2
    • /
    • pp.61-85
    • /
    • 2023
  • Objective: This study aims to investigate whether science teaching attitude of early childhood teachers mediates the relationship between the professional learning environment of institutions and their intention to accept artificial intelligence (AI) technology, and whether the experience of using smart and digital devices moderates the effect of science teaching attitude. Methods: An online survey was conducted targeting 118 teachers with more than 1 year of experience in kindergarten and day care center settings. Descriptive statistical analysis, correlation analysis, and The Process macro model 4, 14 were performed using SPSS 27.0 and The Process macro 3.5. Results: First, the science teaching attitude of early childhood teachers served as a mediator between the professional learning environment of institutions and teachers' intention to accept AI technology. Second, the experience of using smart and digital devices was found to moderate the effect of teachers' science teaching attitude on their intention to accept AI technology. Conclusion/Implications: This results showed that an institutional environment that supports teachers' professionalism development and provides rich experience is crucial for promoting teachers' active acceptance of AI technology. The findings highlight the importance of creating a supportive institutional envionment for teacher's professional growth, enhancing science teaching attitudes, and facilitating the use of various devices.