• Title/Summary/Keyword: Learning Analysis

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An Analysis of Needs for Composition of Math Learning Program Using Web or Application (웹 또는 어플리케이션 활용 수학 학습 프로그램 구성에 대한 요구도 분석)

  • Ee, Ji Hye;Huh, Nan
    • East Asian mathematical journal
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    • v.35 no.2
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    • pp.199-216
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    • 2019
  • The purpose of this study is to analyze the needs of mathematics learning program using web or application for the development of adaptive mathematics learning program. For this study, a questionnaire survey was conducted for middle school students. The results of the 290 responses were analyzed to identify students' needs for adaptive mathematics learning. As a result, learners wanted functions to design their own learning and to support self-directed learning. The results of this study are expected to be used as basic data for the development of a adaptive mathematics learning program reflecting students' needs.

Predicting bond strength of corroded reinforcement by deep learning

  • Tanyildizi, Harun
    • Computers and Concrete
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    • v.29 no.3
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    • pp.145-159
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    • 2022
  • In this study, the extreme learning machine and deep learning models were devised to estimate the bond strength of corroded reinforcement in concrete. The six inputs and one output were used in this study. The compressive strength, concrete cover, bond length, steel type, diameter of steel bar, and corrosion level were selected as the input variables. The results of bond strength were used as the output variable. Moreover, the Analysis of variance (Anova) was used to find the effect of input variables on the bond strength of corroded reinforcement in concrete. The prediction results were compared to the experimental results and each other. The extreme learning machine and the deep learning models estimated the bond strength by 99.81% and 99.99% accuracy, respectively. This study found that the deep learning model can be estimated the bond strength of corroded reinforcement with higher accuracy than the extreme learning machine model. The Anova results found that the corrosion level was found to be the input variable that most affects the bond strength of corroded reinforcement in concrete.

The Analysis of Individual Learning Status on Web-Based Instruction (웹기반 교육에서 학습자별 학습현황 분석에 관한 연구)

  • Shin, Ji-Yeun;Jeong, Ok-Ran;Cho, Dong-Sub
    • The Journal of Korean Association of Computer Education
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    • v.6 no.2
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    • pp.107-120
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    • 2003
  • In Web Based Instruction, as evaluation of learning process means individual student's learning activity, it demands data on learning time, pattern, participation, environment in a specific learning contents. The purpose of this paper is to reflect analysis results of individual student's learning status in achievement evaluation using the most suitable web log mining to settle evaluation problem of learning process, an issue in web based instruction. The contents and results of this study are as following. First, conformity item for learning status analysis is determined and web log data preprocessing is executed. Second, on the basis of web log data, I construct student's database and analyze learning status using data mining techniques.

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Development of a Blended Learning Model using Differentiated Learning Pattern (수준별 학습 패턴을 적용한 블랜디드 러닝 모형의 개발)

  • Kim, Yong-Beom
    • The Journal of the Korea Contents Association
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    • v.10 no.3
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    • pp.463-471
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    • 2010
  • The purpose of this study is to articulate learning model based on achievement level in blended learning environment. In order to investigate the variables and mechanisms in the blended learning environment, we started by attempt to develop two questionnaires using the components of web-based instruction and self-regulated learning. And its results were implemented to represent the topology and directed merging path within components. 154 students at a high school were required to take each web course respectively for two weeks. And questionnaires data, achievement levels data were collected and analyzed. Various statistical analysis methods such as correlation analysis, classical multidimensional scaling, multiple regression analysis, were applied to the data. As an result, the topology and directed path within factors of blended learning process were derived and revised as a final model.

A case study of problem-based learning (PBL) in classes (PBL을 활용한 <드레이핑> 교과 수업사례 및 학습효과 연구)

  • Kang, Yeo Sun
    • The Research Journal of the Costume Culture
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    • v.29 no.3
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    • pp.346-360
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    • 2021
  • Universities have recently introduced problem-based learning (PBL) to various subjects to enhance problem-solving skills (including self-directed learning and small-group learning) required in industry. The PBL module was applied to the personal production process in a draping class. A study was based on a questionnaire after conducting two PBL modules with a group of students. Each PBL module included 'design analysis', 'presentation of flat sketch and draping plan', 'discussion of the plan', 'evaluation of the draping result and correcting the problem', and 'final evaluation of the completed project'. Results showed that satisfaction with the PBL method and its activities was higher than satisfaction with existing teaching methods. In particular, among the various components, the 'design analysis' and 'the presentation step of flat sketch and draping plan' stages were more helpful to students compared to small-group discussion. Moreover, the effects of PBL were observed through student reflection essays, in which students suggested that PBL was very effective in enhancing problem-solving through self-directed and small-group learning. Despite the overall satisfaction with PBL, students expressed some minor difficulties associated with awkwardness with a novel learning method, lack of diverse perspectives among each group, and poor communication skills. Therefore, the study shows that PBL is highly likely to be useful to students when they are solving pattern drafting problems and making samples through self-directed learning and small-group learning.

Interaction Patterns in Distance Only Mode e-Learning

  • SUNG, Eunmo
    • Educational Technology International
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    • v.10 no.2
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    • pp.127-143
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    • 2009
  • The purpose of this study was to identify the interaction patterns in distance only mode e-Learning. In order to investigate this study, messages shown in the electronic notice board were analyzed to see how interaction occurs between teacher and learner or learner and learner under the e-learning of cyber university. To analyze messages was applied according to the framework by Henri's contents analysis model. As a result of contents analysis on electronic board, the participative dimension was 399 messages. A learner put on 7~8 messages a day. The number of messages was low compared to the number of learners, but the number of inquiries was about 140. That means that each learner contacts and checks messages at least once a day. The meaning dimension was 600 units. The main interaction patterns were Interactive-social-cognitive-metacognitive. This means that e-Learning in distance only mode leads a positive attitude of learners as a self-directed learning, and needs teacher's well-structured instructional strategies for increasing interaction. In conclusion, social dimension and interactive dimension of messages support learners psychologically in the process of learning though they directly guide learning under the circumstances of e-learning lacking face-to-face element. It can be interpreted that the teacher's role is significantly important in order to attract learners' positive participation and cognitive and meta-cognitive dimension of messages and activities

Evaluation of e-Learning Satisfaction (e-Learning 만족도 평가)

  • Lee, Dong-Hoo;Hwang, Seung-Gook
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.11a
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    • pp.345-348
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    • 2005
  • In this paper, we suggested an evaluation model for satisfaction of e-Learning. This model was composed decision of evaluation criteria, analysis of consciousness structure for evaluation factors using the Fuzzy Structural Modeling method, decision of weights for evaluation factors considering intersectional dependence relations and evaluation of satisfaction of e-Learning. The case study of this model was done for comparative analysis between teachers and students of e-Learning in high school.

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Strategical Approaches for Establishing Learning Organization: S-Steel Case (철강산업의 학습조직 구축을 위한 전략적 접근 : S-철강(제조업) 사례연구)

  • Park, Gi-Ho
    • 한국디지털정책학회:학술대회논문집
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    • 2007.06a
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    • pp.377-384
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    • 2007
  • This paper is about how to establish the strategic teaming organization in digital age. Through the case study of action teaming, this research can give some implications to small-sized organizations who want to establish teaming culture and positive activities in their own companies. The case site was S-steel, which belongs to the steel industry. To improve and drive teaming activities, I made use of skills: action learning, fishbone analysis, creative thinking, brainstorming, creative discussion skill, and organization diagnostic method.

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Deep Learning Research Trends Analysis with Ego Centered Topic Citation Analysis (자아 중심 주제 인용분석을 활용한 딥러닝 연구동향 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.7-32
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    • 2017
  • Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

The Analysis of Reflect Level according to Reflect Journal in HW Design Learning based on Online Simulation (온라인 시뮬레이션 기반 HW설계 학습에서 성찰일지 내용에 따른 성찰수준 분석)

  • Kim, Jiseon;Ryu, Jiyoung
    • The Journal of Korean Association of Computer Education
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    • v.22 no.5
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    • pp.27-37
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    • 2019
  • In this study, for the purpose of reflection level analysis of high school students in HW design learning which is based on online simulation, we carried out 5 lessons of HW learning and analyzed there reflection levels for 5 individual time of reflection content. The reflection level analysis results for each time of learning shows that the reflection level of the $3^{rd}$ time learning of D-Flip Flop is the highest score with 1.23. The correlation analysis result between the reflection contents presents that high positive correlation between learning content and task resolving method(r=.781, p<.01), and negative design correlation between task resolving method and alternative resolving method. The HW learning satisfaction survey result shows 4.2, and most of the participant students provided opinions that the HW design learning is required and current learning contents is a bit difficult to follow. We could recognize HW design learning is required to have composition of curriculum with basic and advanced contents, and on-off lines combined.