• Title/Summary/Keyword: learning category

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An Analysis on the Status and Early Childhood Teachers' Awareness of Body Education (유아교육기관의 '몸'활용 교수·학습에 관한 교사의 인식 및 실태 조사)

  • Jung, Kyoung-Su;Jung, Jin-Sung;Lim, Boo-Yeon
    • Korean Journal of Child Studies
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    • v.36 no.4
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    • pp.49-69
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    • 2015
  • This study is mainly concerned with researching the perception and the actual conditions of the body education in the kindergarten. For the purpose of this study, the research was carried out using 150 early childhood teachers located in Pusan. Data were collected from survey and interview with early childhood teachers June 2014 to March 2015. Interview proceeded total 5 sessions by study participant and that was required about 1 hours. Questionnaire extracts basis category that analyzes literatures and researches related to body systematically and arranged question category and contents according to investigator's study objective. The results of the study were, first, There is need for deterritorialization and reterritorialization in perception of the teachers of the children's body. second, we need learning and teaching based on children body in teaching and learning activities. It begins with perception change of teacher. And these activity in the classroom are required accordingly. Third, the method for reducing the gap between teacher's perception of body and teaching activities have to be provided.

Machine Learning based Open Source Software Category Classification Model (머신러닝 기반의 오픈소스 SW 카테고리 분류 모델 연구)

  • Back, Seung-Chan;Choi, Hyunjae;Yun, Ho-Yeong;Joe, Yong-Joon;Shin, Dong-Myung
    • Journal of Software Assessment and Valuation
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    • v.14 no.1
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    • pp.9-17
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    • 2018
  • In many respects, the use and importance of open source software in companies and individuals are increasing as the days pass. However, software evaluation for users, software classification of filtering fundamentals research can not deal flexibly according to the characteristics of open source software. They are using a fixed classification system. In this research, we provide a classification model of open source software that can flexibly deal with the classification of open source software and the software category of new open source software.

Exploring the Evaluation Framework of Maker Education (메이커교육(Maker Education) 평가틀(Evaluation Framework) 탐색)

  • Kang, Inae;Yoon, Hyea Jin
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.541-553
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    • 2017
  • Maker education rooted on Maker Movement refers to constructivist learning approach in which students as makers participate in producing visible outcomes through self-directed inquiry and creative hands-on activities in a real life context to solve their personal or social problems. The Maker education, therefore, stresses cultivation of 'maker mindset' in the process-oriented learning environments, pursuing evaluation aspects different from those in the existing educational system. In this context, this study aimed to explore an evaluation framework for the Maker education which reflects the Maker mindset: First, a literature review was conducted to search for the evaluation framework of the maker education which consists of the category of 5 ONs (Minds-on, Hands-on, Hearts-on, Social-on, Acts-on) representing intellectual, physical, emotional, interpersonal and practical aspects, respectively; Second, a Delphi survey for content validity was carried out to confirm the adequacy of the 5 ONs category along with sub-elements for each category. Finally, this study presented the evaluation framework for the Maker education, which is expected to be used as feedback rather than a measuring tool for the process and environments of the Maker education.

A Study on Operational Performance Evaluation of Marine Forest Creation project by BSC, AHP and IPA (BSC-AHP-IPA를 활용한 바다숲 조성사업의 운영성과 평가에 관한 연구)

  • Cho, Sun-Je;Hong, Jae-Bum
    • The Journal of Fisheries Business Administration
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    • v.48 no.1
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    • pp.31-49
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    • 2017
  • This study focuses on developing a theoretical framework for evaluating Operational Performance of the Marine Forest Creation project on a balanced and comprehensive perspective by using BSC, AHP, and IPA. Also, the purpose of this study is empirically to analyze operational performance of the project and to suggest the future improvement plan. For this purpose, We will first determine the critical success factors(CSF) and key performance indicators(KPI) required for evaluating the performance of the Marine Forest Creation project from the four perspectives of BSC. And, After determining the weight for each of CSF, KPI, and four perspectives of BSC by using AHP, we will measure the project performance. We will also conduct IPA analysis to propose the direction of improvement of the Marine Forest Creation project. The results of this study are as follows. First, this study has drawn 8 critical success factors and 16 key performance indicators for four BSC perspectives based on the theoretical considerations and expert interview survey. Second, as a result of deriving relative importance of BSC perspectives using AHP, customer perspective was the highest, followed by financial perspective, learning and growth perspective, and internal process perspective. Third, as the results of analyzing the importance and performance of BSC perspectives using IPA, customer perspective was the maintenance reinforcement category, financial perspective was the key improvement category, internal process perspective and learning and growth perspective were gradual improvement category. This study has a great academic significance in terms of BSC first tried to evaluate the performance of the Marine Forest Creation project. The results of this study are expected to lead to various discussions for a balanced and comprehensive verification of Marine Forest Creation project performance.

Analysis of pre-service teachers' cognition on a teacher education program in technology-friendly flipped classroom (공학 도구 친화적 거꾸로 수업에서 예비교사의 인식 분석)

  • Kim, Dong-Joong;Kim, Daesang;Choi, Sang-Ho
    • Communications of Mathematical Education
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    • v.32 no.4
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    • pp.455-475
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    • 2018
  • The purpose of this study is to investigate characteristics of pre-service teachers' cognition about learning through the use of technology by employing a teacher education program in the use of technology-friendly flipped classroom. For this purpose, 45 pre-service teachers participated in the study and they completed both pre- and post-surveys including questions about Technology Adopter Category Index(TACI) and Technological Pedagogical Content Knowledge(TPACK). They were also asked to write self-reflections on mathematics softwares(Geometer's Sketch Pad(GSP), Geogebra, Cabri 3D). Results show that the teacher education program in the use of technology-friendly flipped classroom affected pre-service teachers' cognitions of TACI and TPACK, and they perceived that technology integration helped students' mathematics learning process. Findings from this study indicate that ideas about how to develop a technology-friendly teacher education program are more specified..

The Effects of Elementary Science Lessons Emphasizing Social Interactions on the Metacognition, Learning Motive and Academic Achievement (사회적 상호 작용을 강조한 초등 과학 수업이 메타인지, 과학 학습 동기, 학업 성취도에 미치는 영향)

  • Bae, Jin-Ho;Ok, Soo-Kyoung
    • Journal of Korean Elementary Science Education
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    • v.28 no.4
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    • pp.519-528
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    • 2009
  • The purpose of this study was to investigate the effect of social interaction on metacognition, learning motive and academic achievement in elementary science learning. The science lessons emphasizing social interactions that is applied to this study was comprised of 5 stages, 'introduction', 'inquiry activity', 'small group emergent activity', 'large group emergent activity', 'conclusion and assessment'. The results of this study were as follows: First, applying the learning model emphasizing social interaction to the experimental group led to a significant difference between the result of the pre- and post-test, regarding metacognition, especifically those of declarative knowledge. And meaningful difference was drawn from the results of all elements in the lower category of regulation of cognition between the experimental and comparison group. Second, a significant difference was found between the pre- and post-test regarding learning motive, especially those of attention, relation, and self-confidence. Third, after applying the learning model emphasizing social interaction to the science classes of the experimental group, students' academic achievement improved significantly in the post-test, compared to the results of pre-test.

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The Analysis of Association between Learning Styles and a Model of IoT-based Education : Chi-Square Test for Association

  • Sayassatov, Dulan;Cho, Namjae
    • Journal of Information Technology Applications and Management
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    • v.27 no.3
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    • pp.19-36
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    • 2020
  • The Internet of things (IoT) is a system of interrelated computed devices, digital machines and any physical objects which are provided with unique identifiers and the potential to transmit data to people or machine (M2M) without requiring human interaction. IoT devices can be used to monitor and control the electrical and electronic systems used in different fields like smart home, smart city, smart healthcare and etc. In this study we introduce four imaginary IoT devices as a learning support assistants according to students' dominant learning styles measured by Honey and Mumford Learning Styles: Activists, Reflectors, Theorists and Pragmatists. This research emphasizes the association between students' strong learning styles and a preference to appropriate IoT devices with specific characteristics. Moreover, different levels of IoT devices' architecture are clearly explained in this study where all the artificial devices are designed based on this structure. Data analysis of experiment were measured by the use of chi square test for association and research results showed the statistical significance of the estimated model and the impacts of each category over the model where we finally got accurate estimates for our research variables. This study revealed the importance of considering the students' dominant learning styles before inventing a new IoT device.

Recommendation Method of SNS Following to Category Classification of Image and Text Information (이미지와 텍스트 정보의 카테고리 분류에 의한 SNS 팔로잉 추천 방법)

  • Hong, Taek Eun;Shin, Ju Hyun
    • Smart Media Journal
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    • v.5 no.3
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    • pp.54-61
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    • 2016
  • According to many smart devices are development, SNS(Social Network Service) users are getting higher that is possible for real-time communicating, information sharing without limitations in distance and space. Nowadays, SNS users that based on communication and relationships, are getting uses SNS for information sharing. In this paper, we used the SNS posts for users to extract the category and information provider, how to following of recommend method. Particularly, this paper focuses on classifying the words in the text of the posts and measures the frequency using Inception-v3 model, which is one of the machine learning technique -CNN(Convolutional Neural Network) we classified image word. By classifying the category of a word in a text and image, that based on DMOZ to build the information provider DB. Comparing user categories classified in categories and posts from information provider DB. If the category is matched by measuring the degree of similarity to the information providers is classified in the category, we suggest that how to recommend method of the most similar information providers account.

Improving Classification Accuracy in Hierarchical Trees via Greedy Node Expansion

  • Byungjin Lim;Jong Wook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.113-120
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    • 2024
  • With the advancement of information and communication technology, we can easily generate various forms of data in our daily lives. To efficiently manage such a large amount of data, systematic classification into categories is essential. For effective search and navigation, data is organized into a tree-like hierarchical structure known as a category tree, which is commonly seen in news websites and Wikipedia. As a result, various techniques have been proposed to classify large volumes of documents into the terminal nodes of category trees. However, document classification methods using category trees face a problem: as the height of the tree increases, the number of terminal nodes multiplies exponentially, which increases the probability of misclassification and ultimately leads to a reduction in classification accuracy. Therefore, in this paper, we propose a new node expansion-based classification algorithm that satisfies the classification accuracy required by the application, while enabling detailed categorization. The proposed method uses a greedy approach to prioritize the expansion of nodes with high classification accuracy, thereby maximizing the overall classification accuracy of the category tree. Experimental results on real data show that the proposed technique provides improved performance over naive methods.

Analysis on characteristics of Gifted and Talented Student Through LAT(Learning Ability Test) (학습능력검사를 통한 과학영재교육 대상자의 특성에 관한 분석)

  • Seo, Seong-Won;Kim, Geun-Ho;Kim, Eui-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.108-111
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    • 2014
  • In this paper, we tried to identify implications of selecting gifted of information science & followed educational system via analyzing each of student's characteristics in each subjects they study within Science Education Institute for the Gifted. A study of the existing institutions do not have experience of the gifted students based on assessment through observation of the 1-year science, mathematics and information science education in the List of attribute analysis. Learners of Information Science became with analysis that Attitude Category was superior in mathematics to the subject of science and Problem Solving Category regardless of the subjects showed similar. As to, Attitude Category, Problem Solving Category and Mathematics Cognition Category was analyzed to be closed and we could confirm through the qualitative observation record. On this, the researcher concluded that the mathematics could know the effect fitness by a learner rather than the subject of science as to an attitude and problem resolution area.

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