• Title/Summary/Keyword: Customized Learning Contents

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An Analysis of University Students' Needs for Learning Support Functions of Learning Management System Augmented with Artificial Intelligence Technology

  • Jeonghyun, Yun;Taejung, Park
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.1-15
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    • 2023
  • The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

A research on the necessity of e-learning multimedia contents: applying the customized driver's license exzmination learning system (맞춤형 운전면허 학과시험 학습 시스템을 사용한 E-Learning 멀티미디어 콘텐츠의 필요성 연구)

  • Lee, sung-haeng;Min, Byung-won;Oh, yong-sun
    • Proceedings of the Korea Contents Association Conference
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    • 2011.05a
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    • pp.351-352
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    • 2011
  • 운전면허 시험이 존재하는 동안 운전면허 학과시험은 필수적인 시험제도로 존재 할 것이며 향후 상당기간동안 지속적으로 산업화가 될 것으로 전망 된다. 그러나 기존의 서적을 통한 학습은 이미 출제 되었던 문제로 지정된 상황에 대한 대처 방법을 평가하는 것에 지나지 않는다. 또한 운전면허 학원에서 학과시험을 취득 할 경우 과도한 시간과 경비가 소요할 뿐만 아니라 학습효과 면에서도 비효율적인 것으로 평가되고 있다. 때문에 학습자의 능력, 연령 등을 고려한 맞춤형 운전면허 학과시험 시스템의 시급의 도입이 시급하며 이를 편리하게 학습 할 수 있는 E-Learning 멀티미디어 콘텐츠 개발이 필요하다. 이에 본 연구는 이러한 필요성에 따라 학습자의 상황에 맞는 맞춤형 교육이 이루어 질 수 있는 맞춤형 운전면허 학과시험 학습 시스템을 제안하고자 한다. 이를 통해 학습자의 문항반응의 오답분석을 통하여 최적의 평가문제와 학습콘텐츠를 선택하여 학습자에게 제공하는 과정을 반복함으로써 동적 맞춤형 E-Learning 학습방식을 제공하고, 난해한 교통 법규를 쉽고 재미있게 학습할 수 있을 것으로 기대해 본다.

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Group Learning System supporting a Customized Education (맞춤형 학습이 가능한 단체 학습 시스템 구현 방안)

  • Ahn, Eun-young
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.423-424
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    • 2015
  • 본 논문은 학습 수준에 따라 개인별 또는 그룹별로 학습이 가능하도록 지원하는 단체 학습 시스템을 제안한다. 제안하는 시스템은 교수자가 학습능력과 수준의 차이에 따라 학습자를 수준별로 그룹을 임의로 설정하여 설정된 개별 학습자 혹은 학습자 그룹별로 각기 다른 학습 콘텐츠를 제공하도록 함으로써 학생들이 같은 공간, 간은 시간대에 있더라도 개인별 맞춤 학습을 진행하는 것이 가능하다. 개별 학습자 또는 학습자 그룹별로 학습을 독립적으로 진행할 수 있도록 제어함으로써 모든 학습자는 개인화된 학습 시스템을 각기 사용하는 것과 같은 효과를 누리게 된다.

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A Genetic Algorithm Based Learning Path Optimization for Music Education (유전 알고리즘 기반의 음악 교육 학습 경로 최적화)

  • Jung, Woosung
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.13-20
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    • 2019
  • For customized education, it is essential to search the learning path for the learner. The genetic algorithm makes it possible to find optimal solutions within a practical time when they are difficult to be obtained with deterministic approaches because of the problem's very large search space. In this research, based on genetic algorithm, the learning paths to learn 200 chords in 27 music sheets were optimized to maximize the learning effect by balancing and minimizing learner's burden and learning size for each step in the learning paths. Although the permutation size of the possible learning path for 27 learning contents is more than $10^{28}$, the optimal solution could be obtained within 20 minutes in average by an implemented tool in this research. Experimental results showed that genetic algorithm can be effectively used to design complex learning path for customized education with various purposes. The proposed method is expected to be applied in other educational domains as well.

Design and Implementation of Adaptive Learning Management System Based on SCORM (SCORM 기반의 적응형 학습관리 시스템의 설계 및 구현)

  • Han Kyung-Sup;Seo Jeong-Man;Jung Soon-Key
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.3
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    • pp.115-120
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    • 2004
  • As a part of working on development of the learning management system, a adaptive learning management system which is able to provide individual learner with different learning contents or paths customized to learner's learning behaviors by expanding SCORM was proposed in this dissertation. In terms of instructional technology interrelated with technology of CBI and ITS, new learning environments and learner preferences were analyzed. A related laboratory system was implemented by packaging a process on how to expand the meta data for contents and a process on how to utilize the web-based learning contents dynamically. In order to evaluate the usability of the implemented system, a sample content was provided to some selected learners and their learning achievement resulted from the new learning environment was analysed. A result of the experiment indicated that the adaptive learning management system proposed in this dissertation could provide every learner with the different content tailored to their individual learning preference and behavior. and it worked also to promote the learning performance of every learner.

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A Study on the Effect of characteristics of smart educational contents by the UX types on the concentration and attitude of a learner (스마트 교육 콘텐츠의 UX 유형별 특성이 학습자의 몰입과 학습태도에 미치는 영향 연구)

  • Son, Joon Ho;Oh, Moon Seok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.197-209
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    • 2014
  • The smart paradigm in the modern society is bringing about a rapid smart sensation and there are means of informational communications being developed with the smart technology in various fields. Accordingly, for an effective smart education, it is necessary to create the customized educational contents for the learners, the users of the education. In this study, the contents of smart education are categorized based on the user experiences. As a result of the analysis, the 3 types of UX are found to have a playful influence on the learning concentration and it is also deduced that such concentration of a learner positively affects his or her attitude towards learning. Moreover, by the age and gender groups, there were differences in the preferences for each of the UX type, so that, in result, gave the valid data for designing and applying the suitable UX type for creating contents of smart education for different main target groups.

Study on Activate Methods for Digital Contents Service to Support Academic Courses in e-Learning (e-Learning 강의 지원을 위한 디지털콘텐츠 서비스 활성화 방안연구 - I 대학 교수.학생.도서관서비스를 중심으로 -)

  • Lee, Jong-Won;Go, Chan
    • Journal of Digital Convergence
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    • v.8 no.2
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    • pp.89-102
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    • 2010
  • The present thesis aims to analyze in consideration of recent changes in teaching environment in the universities the commercial digital contents and e-learning courses provided by the libraries, and to propose the ways to encourage university library service needed under the current situation. A survey of professors and students upon the quality of commercial digital contents service provided by the libraries in I University was made to measure its influence upon e-learning courses. The quality of commercial digital contents service provided by libraries was measured through Digital Library Service Quality Index (which will be referred as DL-SQL Model from here), which is used as a model to examine the Digital Library Service, with partial adjustments of 4 levels (information system service, digital books service, customer service quality, and customer community service) and 7 components (search possibility, an exclusive organization and interface, accessibility, digital books, customer support service, personalized service, and customer community). Among the library services in regard to digital contents, "customer service" and "customer community service" were analyzed to have stronger influence upon e-learning teaching and studying than quality-based service for "information system" and "digital books". Consequently, it is concluded that customized information service provided by the library for the professors who teach e-learning courses and their students is more influential to supporting e-learning courses than quantity pushing service through purchasing commercial digital contents, upon which the direction of digital contents policy to provide library services for e-learning courses should be based.

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A Cascade-hybrid Recommendation Algorithm based on Collaborative Deep Learning Technique for Accuracy Improvement and Low Latency

  • Lee, Hyun-ho;Lee, Won-jin;Lee, Jae-dong
    • Journal of Korea Multimedia Society
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    • v.23 no.1
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    • pp.31-42
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    • 2020
  • During the 4th Industrial Revolution, service platforms utilizing diverse contents are emerging, and research on recommended systems that can be customized to users to provide quality service is being conducted. hybrid recommendation systems that provide high accuracy recommendations are being researched in various domains, and various filtering techniques, machine learning, and deep learning are being applied to recommended systems. However, in a recommended service environment where data must be analyzed and processed real time, the accuracy of the recommendation is important, but the computational speed is also very important. Due to high level of model complexity, a hybrid recommendation system or a Deep Learning-based recommendation system takes a long time to calculate. In this paper, a Cascade-hybrid recommended algorithm is proposed that can reduce the computational time while maintaining the accuracy of the recommendation. The proposed algorithm was designed to reduce the complexity of the model and minimize the computational speed while processing sequentially, rather than using existing weights or using a hybrid recommendation technique handled in parallel. Therefore, through the algorithms in this paper, contents can be analyzed and recommended effectively and real time through services such as SNS environments or shared economy platforms.

The Improvement of Digital Textbook Functions Required for Curriculum Reorganization (교육과정 재구성을 위한 디지털교과서 기능 개선 방안 연구)

  • Kim, Hongsun;Jeong, Youngsik
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.23-34
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    • 2022
  • Teachers should be able to reorganize the curriculum according to the student level, reorganize textbooks freely, and distribute them to students. However, current paper-textbooks are difficult to modify or edit some contents and distribute them to students, also current digital textbooks are grouped into units, so the order or educational resources cannot be reconstructed. In addition, The digital textbooks are difficult to update external links or the latest resources, and to contain various multimedia materials or high-definition realistic content due to capacity limitations. Therefore, this study presented functions: teaching and learning and evaluation functions, resources search and sharing functions, learning records and analysis functions, screen showing and printing functions, so that teachers can provide customized learning by level to students using digital textbooks. Through the expert Delphi survey, detailed functions for each area were divided into teachers and students. We proposed expanding and developing digital textbooks to various subjects, and distributing various teaching and learning models using digital textbooks.

Marine Contents Use and Service Plans for the Educational Purpose (교육용 해양 콘텐츠 활용 및 서비스 방안)

  • Youn, Jae-Hong;Choi, Hyo-Seung;Jeong, Seung-Moon
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.480-486
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    • 2012
  • There has been an increasing interest in new industry and demand creations by the convergence and integration between IT and infrastructure and BT, NT, and CT and the convergence of IT and spread of cloud computing have changed the IT service environment. Even in the educational field, the convergence and integration of contents with various IT have rapidly emerged and learning equipments for the educational purpose have expanded to the mobile media platform from PCs so that learning without limitations to time, place and equipment has become possible. Contents necessary for the smart education are under way by research development utilizing cyber reality and simulation, and 3D technologies. The purpose of this study is to propose marine contents use and service plans for the educational purpose in order to produce various types of contents for the marine life and environment, to improve the school achievement by stimulating interest and to provide individually customized learning.