• Title/Summary/Keyword: 학습자 프로파일

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Design and Implementation of Hybrid Coaching System based on Web Service for College Career Guidance (진로 지도를 위한 웹서비스 기반의 하이브리드 코칭 시스템 설계 및 구현)

  • JIN, Wen-Quan;Koh, Eun-Hyeon;Kim, Do-Hyeun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.5
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    • pp.1-7
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    • 2015
  • Recently, a coaching helps individual to lead and maximize performance. Generally there is a face to face coaching at the current spot of education, and the e-coaching is on the rise. And the face-to-face coaching means that coach and the coachee come face to face directly. And, the effective coaching method is required to supply the weakness and to maximize the strength of the e-coaching using the Internet. Accordingly, we are studying a hybrid coaching to overcome the difficulty and the limit of face-to-face coaching and online coaching. In this paper, we design and implement the career coaching system to provide the face-to-face coaching and the e-coaching for coachee based on the Web service on the Internet. We provide the hybrid coaching using Web service based on the Restful and connect with the database based on the Web to save and manage the profiles and the coaching history of the coach and the coachee. Proposed hybrid coaching system for coachee career improves remote accessibility between the coach and the coachee. This system provides the interaction without the limit of the time and the space, and overcomes the limit of the traditional face-to-face coaching on the online environment.

Implementation of Physical Computing Module of AI Block Python Coding Platform (인공지능 블록 파이썬 코딩 플랫폼의 피지컬 컴퓨팅 모듈 구현)

  • Lee, Se-hoon;Nam, Ji-won;Kim, Gwan-pil;Jeon, Woo-jin;Kim, Ki-Tae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.453-454
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    • 2021
  • 본 논문에서는 딥아이(DIY) 블록 프로그래밍과 라즈베리파이의 피지컬 컴퓨팅을 활용해 엑츄에이터와 센서를 제어하고 센서를 통해 수집한 데이터를 전처리해 인공지능에 활용함으로써 효율적인 인공지능 교육 방식을 제안한다. 해당 방식은 블록코딩 방식을 사용함으로써 문자코딩 대비 오타을 줄이고 문법 구애율을 낮춤으로써 프로그래밍 입문자의 구문적 어려움을 최소화하고 개념과 전략적 학습을 극대화한다. 블록프로그래밍 사용언어로 파이썬을 채택해 입문자의 편의를 도모하고 파일처리, 크롤링, csv데이터 추출을 통해 인공지능 교육에 활용한다.

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Dynamic Generation of SMIL based Multimedia Documents on the Web (웹에서 SMIL 기반 멀티미디어 문서의 동적 생성)

  • 김경덕
    • Journal of Korea Multimedia Society
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    • v.4 no.5
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    • pp.439-445
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    • 2001
  • In this paper, we suggest a method for dynamic generation of SMIL documents by user profiles on the web. Generated multimedia documents are based on the SMIL (Synchronized Multimedia Integration Language) that are recommended by the W3C. The method generates automatically XSLT documents according to user profiles. SMIL documents are produced on real-time by integration of the XSLT documents and the XML documents that are made already. Most of conventional web-based documents are based on the HTML that is difficult to support reusability of documents are relation among multimedia abject. However, the suggested method is based on the XML, and so it supports reusability of documents and produces efficiently various SMIL-based multimedia documents. Application for the suggested method are as follows; Electronic commerce, tele-lecture, a web-based document editing, etc.

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Development of cardiopulmonary resuscitation nursing education program of web-based instruction (웹 기반의 심폐소생술 간호교육 프로그램 개발)

  • Sin, Hae-Won;Hong, Hae-Sook
    • Journal of Korean Biological Nursing Science
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    • v.4 no.1
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    • pp.25-39
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    • 2002
  • The purpose of this study is to develop and evaluate a web-based instruction Program(WBI) to help nurses improving their knowledge and skill of cardiopulmonary resuscitation. Using the model of web-based instruction(WBI) program designed by Rhu(1999), this study was carried out during February-April 2002 in five different steps; analysis, design, data collection and reconstruction, programming and publishing, and evaluation. The results of the study were as follows; 1) The goal of this program was focused on improving accuracy of knowledge and skills of cardiopulmonary resuscitation. The program texts consists of the concepts and importances of cardiopulmonary resuscitation(CPR), basic life support(BLS), advanced cardiac life support(ACLS), treatment of CPR, nursing care after CPR treatment. And in the file making step, photographs, drawings and image files were collected and edited by web-editor(Namo), scanner and Adobe photoshop program. Then, the files were modified and posted on the web by file transfer protocol(FTP). Finally, the program was demonstrated and once again revised by the result, and then completed. 2) For the evaluation of the program, 36 nurses who in K university hospital located in D city, and related questionnaire were distributed to them as well. Higher scores were given by the nurses in its learning contents with $4.2{\pm}.67$, and in its structuring and interaction of the program with $4.0{\pm}.79$, and also in its satisfactory of the program with $4.2{\pm}.58$ respectively. In conclusion, if the contents of this WBI educational program upgrade further based upon analysis and applying of the results the program evaluation, it is considered as an effective tool to implement for continuing education as life-long educational system for nurse.

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A Study on Implementation of Sound Recording and Player of Smartphone for Mobile Learning (모바일 학습을 위한 스마트폰의 사운드 레코딩과 플레이어 구현에 관한 연구)

  • Seo, Jung-Hee;Park, Hung-Bog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.6
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    • pp.847-854
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    • 2013
  • This paper implements a smartphone application for sound recording and player of mobile learning. Due to its ubiquitous nature, smartphones could be used anytime anywhere, and because they combine an audio and a microphone, the application for sound recording and player that this paper suggests can be easily and cost effectively developed without additional infrastructure. This paper also explains a technique which processes data of music lyrics. The technique is built on a database technology by using SQLite, a DBMS combined in a platform of android. Thus, as long as the smartphone application for sound recording and player is developed and the mobile phone has sound source files, learners could record their own voices to the sound. Therefore, we expect the learners without additional infrastructure to enable mobile learning.

Design of knowledge search algorithm for PHR based personalized health information system (PHR 기반 개인 맞춤형 건강정보 탐사 알고리즘 설계)

  • SHIN, Moon-Sun
    • Journal of Digital Convergence
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    • v.15 no.4
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    • pp.191-198
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    • 2017
  • It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

Detecting types for the influence of math teaching methods perceived by high school students on math self-efficacy: Using REBUS-PLS (고등학생이 지각한 수학 수업방식이 수학자기효능감에 미치는 영향력에 대한 유형탐색: REBUS-PLS를 적용하여)

  • Song, Hyo Seob;Jung, Hee Sun
    • The Mathematical Education
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    • v.61 no.4
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    • pp.613-629
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    • 2022
  • This study explored the heterogeneous latent group on the influence of the learner's perceived math teaching method(instructor-centered, learner-centered) on math self-efficacy. In order to profile the characteristics of the detected latent group, the distribution of variables was confirmed, and multi-group analysis was conducted by SEM. According to the analysis results, two latent groups were detected, and the instructor-type group and the learner-type group were named. As a result of post-hoc analysis, the perception of instructor-centered classes and learner-centered classes, and the perception of math teaching ability were similar between the instructor-type and the learner-type group. But the instructor-type group had higher math self-efficacy, math interest, and math class engagement than the learner-type group. Also, in the instructor-type group, the effect of perception of math teaching ability on math self-efficacy and math class engagement was greater than that of the learner-type group. Whereas, in the learner-type group, the effect of math interest on math self-efficacy and math class engagement was greater than that of the instructor-type group. This study presented a new research method on the influence of math teaching methods on learners by applying the REBUS-PLS method.

QoS-Aware Optimal SNN Model Parameter Generation Method in Neuromorphic Environment (뉴로모픽 환경에서 QoS를 고려한 최적의 SNN 모델 파라미터 생성 기법)

  • Seoyeon Kim;Bongjae Kim;Jinman Jung
    • Smart Media Journal
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    • v.12 no.4
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    • pp.19-26
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    • 2023
  • IoT edge services utilizing neuromorphic hardware architectures are suitable for autonomous IoT applications as they perform intelligent processing on the device itself. However, spiking neural networks applied to neuromorphic hardware are difficult for IoT developers to comprehend due to their complex structures and various hyper-parameters. In this paper, we propose a method for generating spiking neural network (SNN) models that satisfy user performance requirements while considering the constraints of neuromorphic hardware. Our proposed method utilizes previously trained models from pre-processed data to find optimal SNN model parameters from profiling data. Comparing our method to a naive search method, both methods satisfy user requirements, but our proposed method shows better performance in terms of runtime. Additionally, even if the constraints of new hardware are not clearly known, the proposed method can provide high scalability by utilizing the profiled data of the hardware.

Interactive content development of voice pattern recognition (음성패턴인식 인터랙티브 콘텐츠 개발)

  • Na, Jong-Won
    • Journal of Advanced Navigation Technology
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    • v.16 no.5
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    • pp.864-870
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    • 2012
  • Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.

Gender Differences in Geometry of the TIMSS 8th Grade Mathematics Based on a Cognitive Diagnostic Modeling Approach (인지진단모형을 적용한 TIMSS 8학년 수학 기하 영역의 성차 분석)

  • Yi, Hyun Sook;Ko, Ho Kyoung
    • School Mathematics
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    • v.16 no.2
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    • pp.387-407
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    • 2014
  • Gender differences have been given major attention in mathematics education in the context of pursuing gender equity in instructional and learning environment. It had been traditional belief that male students would outperform female students in mathematics, especially in the areas as geometry. This belief has been given doubts by cumulated empirical evidences that gender differences are gradually diminishing or even reversing its direction as time goes on. In this study, gender differences in geometry were explored using TIMSS 8th grade mathematics data administered in TIMSS 2003, 2007, and 2011, based on a cognitive diagnostic modeling(CDM) approach. Among various CDM models, the Fusion model was employed. The Fusion model has advantages over other CDM models in that it provides more detailed information about gender differences at the attribute level as well as item level and more mathematically tractable. The findings of this study show that Attribute 3(Three-dimensional Geometric Shapes) revealed statistically significant gender differences favoring male students in TIMSS 2003 and 2007, but did not show significant differences in TIMSS 2011, which provides an additional empirical evidence supporting the recent observation that gender gap is narrowing. In addition to the general trends in gender differences in geometry, this study also provided affluent information such as gender differences in attribute mastery profiles and gender differences in relative contributions of each attribute in solving a particular item. Based on the findings of the CDM approach exploring gender differences, instructional implications in geometry education are discussed.

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