• Title/Summary/Keyword: 개인 맞춤형 교육

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Development of informatics subject education system using cloud-based social platform for maker education (메이커 교육을 위한 클라우드 기반 교육용 소셜 플랫폼을 활용한 정보교과 교육시스템 개발)

  • Yang, Hwan-Geun;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.409-412
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    • 2019
  • 본 논문에서는 인공지능과 빅데이터 클라우드 등 다양한 4차 산업혁명시대의 기술과 교육을 융합한 에듀테크를 기초로 하여 에듀테크에 대한 교사의 학습 방향을 제시하며 전체적인 클라우드의 개념 및 분류체계, 교육의 활용을 제시하였고 클라우드 기반 교육용 소셜 플랫폼과 R. M. Gagne(1985)의 9가지 이론을 토대로 정보교과 추상화 단원의 학습 지도안을 설계 후 성취도 평가를 제시하였다. 연구 내용 분석 결과 기술의 발전성과 교육현장에서의 개인정보 교육 및 정보보안 교육의 필요성이 강조되며 확고한 플랫폼 구축과 빅데이터 확보 및 분석하여 개인에게 맞춤형 서비스 제공이 필요하다. 또한 사용자 편의성 극대화 서비스 및 UX 간결이 요구된다. 본 논문을 토대로 에듀테크의 일부분인 클라우드 기반 소셜러닝의 다양하고 체계적인 선행연구 활성화에 시발점이 되었으면 한다.

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Dialogue System for User Customized Lecture Recommendation (사용자 맞춤형 강의 추천을 위한 대화 시스템 연구)

  • Choi, Yerin;Yeen, Yeen-heui;Kim, Dong-Geun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.84-86
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    • 2022
  • Task-oriented chatbots prevail in various filed with the artificial intelligent dialogue system. The need for chatbots in customer services is growing, especially in education businesses given that there are many user inquiries and consultation requests. However, current dialogue systems only function as simple reactions or predetermined and frequently used actions. Meanwhile, the research about customized recommendation systems through artificial intelligence is very active with a wide variety of educational content. Although a dialogue system and a recommendation system is a core element in this domain, it has a limitation in that it is being conducted separately. Therefore, we present a study on a recommendation system that can recommend user-customized lectures combined with a dialogue system. With this combination, our system can respond to additional functions beyond these limitations. Through our research, we expect that work efficiency and user satisfaction will be improved by applying chatbots in education domains that are becoming more diversified and personalized.

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A Study on Development of Personalized Learning Materials for Underachievers in Elementary Mathematics (초등 수학 학습 부진아 지도를 위한 맞춤형 학습 자료 개발 연구)

  • Choe, Seung-Hyun;Cho, Seong-Min;Ryu, Hyun-Ah
    • Education of Primary School Mathematics
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    • v.15 no.2
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    • pp.135-145
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    • 2012
  • In this research, we observed how students perform as they followed the teachers' instruction, and consequently perform their realized potential. As the accountability of school education is emphasized, various attempts try to disconnect the vicious cycle of producing low achievers. Efforts are allocated into developing a method to minimize cumulative effect of the lag in educational benefit by focusing on the elementary education. Based on the 2007 revised curriculum, mathematics achievement level and assessment criteria were developed. These criteria were used to standardize the course and assessment objectives for 4th through 6th grade students' mathematics studies, and to assess lower performing students and the lag in their mathematical understanding. The educational materials and assessment criteria can be expected to lead lower performing students by giving them the personalized lesson plans to minimize the lag of mathematical understanding, and eventually expedite their progress and prevent cumulative effect of the lag in the following curriculum.

Enhancing Career Development Utilizing LLM for Targeted Learning Pathway (경력 개발 증진을 위한 LLM 기반 맞춤형 학습 경로 개발)

  • Mahisha Patel;Vishakha Tyagi;Isabel Hyo Jung Song
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.9
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    • pp.460-467
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    • 2024
  • Targeted career development is critical for student success but is often lacking for underrepresented students at many public higher-education institutions due to insufficient career counseling resources. We propose an innovative career development tool leveraging Large Language Models (LLMs) to enhance student career prospects through three steps: (1) identifying relevant jobs by analyzing resumes, (2) pinpointing skill gaps using external resources such as classroom assignments, in addition to resumes, and (3) suggesting customized learning paths. Our tool accurately matches jobs in real-world settings, identifies true skill gaps while reducing false positives, and provides learning paths that receive high satisfaction scores from faculty. Future research will enhance the solution's capabilities by incorporating diverse external resources and leveraging advancements in LLM technology to better support early-stage career seekers.

A Study on Building Plan for Smart Guide Services Using Augmented Reality (증강현실을 이용한 스마트 가이드 관람 서비스 구축 방안)

  • Choi, Hun;Yoon, Young-Doo;Choi, Eun-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2723-2728
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    • 2013
  • Due to the popularity of smart phones based on personal propensities and individual lifestyle changes customerized services is increasing interest in the individual. The system for personalized services make a difference in the public institutions, museum of science and history. In particular, museums and art galleries have a common motivation which is sightseeing. Museum for the history and science education a national purpose that is put, unlikely art gallery. Museum of science and History, unlike the theme parks have a combination of entertainment and education as a public institution is a large consensus. In order to achieve this objective, exhibits raise a sufficient commitment to and the exhibits should be described by age. Using augmented reality combined with effective entertainment and education measures, we propose the effective smart guide service strategies for museum.

A Study of Multidisciplinary Customized Curriculum Model for 21st Century Learning Ability Extension (21세기 학습 능력 신장을 위한 다학문적 맞춤형 교육과정 모형 연구)

  • Jeong, Jae-Hoon;Kim, Sun-Hoi;Nam, Dong-Soo;Lee, Tae-Wuk
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.197-206
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    • 2012
  • The objectives of this study are to investigate core learning ability necessary for the 21st century and to develop core human resources required for social and national development in the future. The '21st Century Learning Ability Project' is to approach the existing knowledge and learning multidisciplinary and interactively based on the learning ability of each learner and individually and socially valuable themes. Even in Korea, a variety of intersubject integrative educational curriculum was attempted to cultivate learning ability. However, there are not enough teachers who can teach the differences between the content and characteristics for each subject by fully understanding them. Thus, it is difficult to apply them easily to the field of education. Thus, this study develops the multidisciplinary customized educational curriculum in order to develop the learning ability necessary for the 21st century, analyzes the reality of the educational curriculum integrating the academic knowledge in order to support this effectively. As a result, this study offers the interdisciplinary customized integrated model applicable to elementary and middle schools.

Design of Personalized Learning Profile based Leaner's Cognitive Ability (학습자의 인지능력 기반 개인화 학습 프로파일 설계)

  • Ji, Hye-Sung;Lim, Heui-Seok;Park, Ki-Nam
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.983-985
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    • 2013
  • 본 논문에서는 학습자의 인지능력을 진단하고 이를 기반으로 하는 학습자 프로파일에 대하여 제안한다. 기존의 인지능력 측정방법으로는 알기 어려운 학습자의 세부적인 학습 능력을 적용한 학습자 프로파일은 지능형 튜터링 시스템의 최종적인 목표인 개개인의 맞춤형 학습 제공을 목적으로 학습자의 인지능력 측정 및 패턴분류를 통해 세부적인 학습자의 인지능력 측정하고 이를 기반으로 학습자 프로파일을 설계하였다.

Development of AI Chatbot Education based on Maker-education (메이커 교육 기반 인공지능 챗봇 수업 개발)

  • Yang, Hwan-Geun;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.619-621
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    • 2020
  • 본 논문에서는 메이커 교육을 기초로 인공지능 챗봇 수업을 개발하였다. 세부적으로 R. M. Gagne(1985)에 9가지 이론을 기초로 정보교과 문제해결과 프로그래밍 단원의 지도안을 작성 후 평가를 제시하였다. 연구 내용 분석 결과 교육현장에서 인공지능 교육의 필요성이 강조되며 확고한 플랫폼 구축(인공지능 플랫폼)과 빅데이터 분석·확보하여 개인 맞춤형 서비스 제공이 필요하다. 본 논문을 토대로 인공지능 교육의 체계적인 연구 활성화에 시발점이 되었으면 한다.

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Development of Teaching Competency Scales: Focused on CTL Teaching Program (대학 CTL 교수지원프로그램 맞춤형 교수역량진단도구 개발)

  • Kang, Dae-Sik
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.49-59
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    • 2022
  • This study was conducted to develop a teaching competency scales customized for teaching programs conducted by Center for Teaching & Learning at A University. To achieve this purpose, a preliminary study was set up, which consists of three competency groups (basic competency, practice competency, innovation competency) and 26 learning competency factors through a review of previous studies. In order to verify the reliability and validity of the provisional teaching competency scales, an online survey was conducted on A university teachers in September 2020, The collected questionnaire data were organized and exploratory factor analysis and confirmatory factor analysis were conducted. As a result of exploratory factor analysis, 26 teaching competency was reduced to 17. As a result of the confirmatory factor analysis, the model was found to be good, Also, as a result of analyzing the construct reliability and AVE of the confirmed teaching competency factors, all 17 factors showed a good level of .7 or more. The teaching competency scales developed through this study can be used as basic data for performance evaluation and development of new programs of CTL teaching program.

A Study on Development Strategies for Artificial Intelligence-Based Personalized Mathematics Learning Services (인공지능 기반 개인 맞춤 수학학습 서비스 개발 방향에 관한 연구)

  • Joo-eun Hyun;Chi-geun Lee;Daehwan Lee;Youngseok Lee;Dukhoi Koo
    • Journal of Practical Engineering Education
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    • v.15 no.3
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    • pp.605-614
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    • 2023
  • In In the era of digital transition, AI-based personalized services are emerging in the field of education. This research aims to examine the development strategies for implementing AI-based learning services in school. Focusing on AI-based math learning service "Math Cell" developed by i-Scream Edu, this study surveyed the functional requirements from the perspective of an educator. The results were analyzed for importance and suitability using IPA, and expert opinions were surveyed to explore specific development directions for the service. Consequently, importance in all areas such as diagnosis, learning, evaluation, and management averaged 4.82 and performance averaged 4.56, showing excellent results in most questions, and in particular, importance was higher than performance. Among certain detailed functions, concept learning, customized task presentation, evaluation result analysis function, dashboard-related functions, and learning materials in the dashboard were not intuitive for students to understand and had to be supplemented. This study provides meaningful insights by summarizing expert opinions on AI-based personalized mathematics learning services, thereby contributing to the exploration of the development strategies for "Math Cell".