• Title/Summary/Keyword: Learning Needs

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A Study on a Model of Teacher Education System in u-Learning (u-Learning 시대의 교사양성 체제 모형 연구)

  • Park, Jung-Hwan;Cheong, Dong-Uk;Park, Hyung-Sung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3308-3314
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    • 2009
  • The purpose of this research is to develop a model of teacher education system in u-Learning age. To achieve the purpose, first, the current teacher education system was analyzed. Second, ubiquitous technologies which could be used in future teacher education system were analyzed. Third, functions of ubiquitous technologies supporting communication between the elements of teacher education system were explored based on the analysis of the technologies. Forth, researchers analyzed pre-service teachers' understanding, needs, and demands for the future teacher education system in u-Learning age. The model of teacher education system which is appropriate for u-Learning age was proposed based on the results of analyses. The developed model could help to educate pre-service teachers who will lead the education in u-Learning age.

Function Approximation for accelerating learning speed in Reinforcement Learning (강화학습의 학습 가속을 위한 함수 근사 방법)

  • Lee, Young-Ah;Chung, Tae-Choong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.6
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    • pp.635-642
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    • 2003
  • Reinforcement learning got successful results in a lot of applications such as control and scheduling. Various function approximation methods have been studied in order to improve the learning speed and to solve the shortage of storage in the standard reinforcement learning algorithm of Q-Learning. Most function approximation methods remove some special quality of reinforcement learning and need prior knowledge and preprocessing. Fuzzy Q-Learning needs preprocessing to define fuzzy variables and Local Weighted Regression uses training examples. In this paper, we propose a function approximation method, Fuzzy Q-Map that is based on on-line fuzzy clustering. Fuzzy Q-Map classifies a query state and predicts a suitable action according to the membership degree. We applied the Fuzzy Q-Map, CMAC and LWR to the mountain car problem. Fuzzy Q-Map reached the optimal prediction rate faster than CMAC and the lower prediction rate was seen than LWR that uses training example.

A Study on a Case Applying Learner-Centered Flipped Learning for Coding Classes (코딩수업을 위한 학습자 중심의 플립드 러닝 적용 사례 연구)

  • Lee, Ae-ri
    • Journal of Practical Engineering Education
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    • v.9 no.1
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    • pp.23-30
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    • 2017
  • This is a study on a case applying flipped learning to coding classes that is a college liberal arts course. A required coding class for the students who do not major in computers needs a teaching method differentiated from a coding education for training experts. The present study presented a flipped learning teaching model for the coding education of non-major students, and observed its effect and possibility. Flipped learning enables learners to learn with on-line contents anywhere and anytime they want and concentrate on practice education based on what they learned during class. Accordingly, the study sought for the solution to maximize the efficiency of teaching and learning through flipped learning. A pre and post surveys after applying a flipped learning to a practical class confirmed that the students taught using flipped learning were more positively assessed in learning satisfaction than those taught using a traditional method, and that in academic achievement as well, flipped learning was more effective.

Analysis of Web Services for Teaching and Learning Support in Health Specialized College (보건 특화 전문대학의 교수학습지원 웹서비스 분석)

  • Chang-Woo Pyo
    • Journal of the Health Care and Life Science
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    • v.11 no.2
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    • pp.237-244
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    • 2023
  • This study analyzed the teaching and learning support web services of health-specialized colleges. It was searched for educational innovation and teaching and learning support on the portal site. Web services related to teaching and learning at eight health-specialized colleges were classified into five categories. CTL web service support, teaching support, learning support, CTL introduction, and differentiated web services were analyzed. Teaching and learning support and CTL introduction web services were subdivided and operated, and web services that increased access to teaching and learning support were provided to teachers and students by preparing for national exams. Students at health-specialized colleges must pass the national examination to get a job, and the quality of teaching and learning needs to be improved. Therefore, the excellence of providing teaching and learning programs is required for junior college teachers and students. Based on this study, it is expected to improve the quality of web services for teaching and learning support in specialized health colleges.

Mapping Categories of Heterogeneous Sources Using Text Analytics (텍스트 분석을 통한 이종 매체 카테고리 다중 매핑 방법론)

  • Kim, Dasom;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.193-215
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    • 2016
  • In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.

A study on TPACK of mathematics teachers : Focusing on recognitions and educational needs of TPACK (수학교사의 테크놀로지 교수 내용 지식(TPACK)에 대한 연구 : TPACK에 대한 인식 및 교육요구도 분석 중심으로)

  • Lee, Da-Hee;Whang, Woo-Hyung
    • The Mathematical Education
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    • v.57 no.1
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    • pp.1-36
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    • 2018
  • The purpose of this study is to examine the relationship between utilization of technology and TPACK in mathematics teachers, and to analyze needs and retentions, difference between needs and retentions, and educational needs of TPACK in mathematics teachers. Furthermore, we will prioritize TPACK items that mathematics teachers want to change, and provide implications for teacher education related to TPACK in the future. To do this, we analyzed 328 mathematics teachers nationwide by using survey on the utilization of technology, averages of TPACK's needs and retentions, t-test of two averages, Borich's educational needs analysis, and the Locus for Focus model. The results are as follows. Firstly, the actual utilization rate was lower than the positive recognition of utilization of technology by mathematics teachers, and many mathematics teachers mentioned the lack of knowledge related to TPACK. Secondly, the characteristics of in-service mathematics teacher's needs and retentions for TPACK were clear, and TPACK's starting line of in-service mathematics teacher can be different from pre-mathematics teacher's. The retentions was high in the order of CK, PCK and PK, and the needs was higher in the order of TPACK, TCK, TK and TPK. All of the higher retentions were knowledge related to PCK, and the value of CK was extremely high among them. In addition, mathematics teachers recognized needs for integrated knowledge related to technology, and they needed more TCK than TPK. The difference between needs and retentions showed that all items except two items in the PK were significant. Retentions of all items in CK was higher than needs, needs of all items in TK, TCK, TPK and TPACK was higher than retentions, PK and PCK were mixed. Thirdly, based on the analysis of Borich's educational needs and the Locus for Focus model, teacher education on TPACK for mathematics teachers needs to focus on TPACK, TK, TCK, and TPK. Specifically, TPACK needs to combine technology in terms of creativity-convergence, mathematical connections, communication, improvement of evaluation quality, and TK needs to new technology acquisition, function of utilizing technology, troubleshoot problems with technology, TCK needs to mathematical value(esthetic, practical) with technology, and TPK needs to consider technology in terms of evaluation methods, teaching and learning methods, improvement of pedagogy. Therefore, when determining the direction of teacher education related to TPACK in the future, if they try to reflect these items in detail, the teachers could participate more actively and receive practical help.

Determination of Information and Support Needs of First Degree Relatives of Women with Breast Cancer

  • Andic, Saadet;Karayurt, Ozgul
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.9
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    • pp.4491-4499
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    • 2012
  • Background: Breast cancer is the most frequent type of cancer among women in the world and the most common cause of deaths from cancer in females. In Turkey, breast cancer comes first in the list of the most frequent ten cancer types seen in women. As the incidence rate of breast cancer is high, many women having breast cancer in the family experience the breast cancer at secondhand. This study was carried out in an attempt to determine the information and support needs of women whose first-degree relatives have breast cancer and to what extent these needs are met. Methods: The research sample consisted of 156 women. Questionnaire Form and Information and Support Needs Questionnaires were used as the data collection tools. Results: Information need score averages ($x^-:3.72{\pm}0.19$) of women included in the research sampling were found to be higher than their score averages of support needs ($x^-:3.24{\pm}0.41$). Conclusion: Information needs which were indicated by women as very important were related to treatment, symptoms of breast cancer and breast self examination (BSE), while support needs which were indicated by women as very important were learning how to perform BSE, women's anxiety for themselves and their relatives regarding breast cancer and having their breasts examined by a health professional. It is recommended that nurses and other medical staff should give information to women whose first-degree relatives have breast cancer about the disease, its etiology, scanning, diagnosis, treatment options and protection as well as prevention.

A Study on Students' Need for Free Learning Semester Programs of Libraries (도서관의 자유학기제 프로그램에 대한 학생수요조사 연구)

  • Noh, Younghee;Kim, Hyein
    • Journal of Korean Library and Information Science Society
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    • v.47 no.3
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    • pp.187-211
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    • 2016
  • The present study investigates the seventh and the eighth graders' perception of Free Learning Semester Programs offered by libraries by developing a survey questionnaire on students' needs for Free Learning Semester Programs of Libraries. The skills that middle school students want to improve in Free Learning Semesters are career exploration skills, and the type of Free Learning Semester that is most intensively implemented is career exploration activities. Programs are often offered in the form of experiential classes. Regarding the activities that the students want to participate during Free Learning Semester, the most preferred activities included field experience activity in the career exploration domain, cooking class in the student choice program, smartphone app development in club activities, design activity in the art domain, the badminton in the physical education domain, and using iPad in the information use skills. In addition, among the library programs in coordination with Free Learning Semester, the students liked the occupational experience program most. Future studies need to include the development and implementation of Free Learning Semester Programs based on students' opinions, and investigate their satisfaction with the Free Learning Semester Programs offered by libraries.

A Study on the Strategies for the Development of Lifelong Learning City (평생학습도시 사이버네트워크 시스템 구축 방향 탐색)

  • Byun, Jong-Im;Lee, Jae-Kyung;Yang, Hueung-Kwon
    • The Journal of Korean Association of Computer Education
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    • v.10 no.4
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    • pp.61-71
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    • 2007
  • The Lifelong Learning City Project whose aim is to encourage regional innovation and development by the Ministry of Education & HRD. As of in 2006, there are 57 Lifelong Learning Cities which are providing its citizens with various lifelong learning programs since the project got started in 2001. The Lifelong Learning City Project has been increasing across the nation since it has been regarded as a key strategy for the sustainable reg ional development. Accordingly, there has been a lot of discussion on how to develop the project qualitatively as well as quantitatively. In this context, this study aims to draw policy implications of the Cyber Network System for the lifelong learning cities. With this context, this paper suggests to set up the Cyber Network System as the developmental strategy of learning cities and intends to search how to structure the Cyber network System. For this purpose, we survey the learners' needs and suggest the directions for the further Cyber network System of the Learning Cities.

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Analysis of Faculty Perceptions and Needs for the Implementation of AI based Adaptive Learning in Higher Education (대학 교육에서 인공지능 기반 적응형 학습 구현을 위한 교수자 인식 및 요구분석)

  • Shin, Jong-Ho;Shon, Jung-Eun
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.39-48
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    • 2021
  • This study aimed to analyze the level of professors' understanding and perception of adaptive learning and proposed how college can implement successful adaptive learning in college classes. For research purposes, online survey was conducted by 162 professors of A university in capital region. As a result, professors seemed to feel pressure to provide students personalized feedback and gave concerned that students don't study enough in advance before participating in class. It was also found that professors realized that they have low level of understanding about adaptive learning, while they revealed intention to make use of adaptive learning in their class. They also answered that adaptive learning system is the most helpful support for encouraging professors to apply adaptive learning in real class. We proposed what is required to encourage professor to implement adaptive learning in their class.