• 제목/요약/키워드: Learning Blogs

검색결과 30건 처리시간 0.026초

What Practical Knowledge Do Teachers Share on Blogs? An Analysis Using Text-mining

  • LEE, Dongkuk;KWON, Hyuksoo
    • Educational Technology International
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    • 제23권1호
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    • pp.97-127
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    • 2022
  • With the recent advancement of technology, there has been an increase in professional development activities, including teachers using blogs to share practical knowledge and reflect on teaching and learning. This study was conducted to identify the contents of practical knowledge shared through the K-12 teachers' blogs. To achieve the research objective, 70,571 blog posts were collected from 329 blogs of K-12 teachers in Korean and analyzed using text mining techniques. The results of the study are as follows. First, practical knowledge sharing activities using teacher blogs have increased. Teachers posted a lot of blogs during the semester. Second, primary school teachers share various curriculum activities, reflections on project classes, class management, opinions related to education, and personal. Third, secondary school teachers share summaries and reviews of curriculum, materials related to college entrance exams, various instructional materials, opinions related to education, and personal experiences on their blogs. This study suggested that blogs are widely used as a venue for sharing practical knowledge of teachers, and that blogs can be a useful way to develop professionalism.

기계학습기법을 이용한 광고 외식 블로그의 자동분류 (Automatic Classification of Advertising Restaurant Blogs Using Machine Learning Techniques)

  • 장재영;이병준;조세진;한다혜;이규홍
    • 한국인터넷방송통신학회논문지
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    • 제16권2호
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    • pp.55-62
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    • 2016
  • 최근 들어 블로그가 제공하는 정보를 활용하여 외식업소를 선택하는 사용자가 크게 늘고 있다. 그러나 국내의 외식관련 블로그들은 파워 블로거에 의한 광고 블로그들이 다수를 차지하고 있어 신뢰성을 잃은 지 오래다. 따라서 블로그의 신뢰성을 확보하기 위해서는 허위 또는 과장되게 작성된 광고 블로그들을 필터링하는 기술이 필수적이다. 본 논문에서는 자동분류 기술을 이용하여 광고 블로그들을 판별하는 기법을 제안한다. 제안된 기법에서는 우선 외식 블로그들 중에서 광고 블로그로 판명된 블로그들을 수집하고 이들에 공통적으로 나타나는 특징들을 분석하였다. 이렇게 추출된 특징들을 이용하여 데이터 마이닝의 자동 분류 알고리즘을 적용하여 광고 블로그 여부를 판단하였다. 또한 다양한 실험을 통해 최적의 알고리즘과 특징들을 선별하였다.

Design and Implementation of an Educational RSS Sharing System for e-Learning 2.0

  • Lee, Myung-Jin;Oh, Sun-Jin;Bae, Ihn-Han
    • Journal of the Korean Data and Information Science Society
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    • 제19권3호
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    • pp.851-865
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    • 2008
  • Recently, the Web 2.0 and RSS techniques have gained enormous attention in the Internet and e-Learning fields. In this paper, we design a RSS system on the Web 2,0 base for e-Learning, and implement the educational RSS information sharing system for back-to-basic curriculum of secondary schools that is called EduRSS. Our EduRSS can create web feed file with RSS format from learning blogs for back-to-basic curriculum, and share it with other users conveniently. In addition, it also provide the recommendation function to improve the reliability of the RSS feed resources.

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머신러닝을 이용한 의료 및 광고 블로그 분류 (A Classification of Medical and Advertising Blogs Using Machine Learning)

  • 이기성;이종찬
    • 한국산학기술학회논문지
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    • 제19권11호
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    • pp.730-737
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    • 2018
  • 행복한 삶의 질을 목적으로 하는 의료소비자가 증가하면서 웹에 분산되어 있는 블로그의 의료 정보를 바탕으로 신뢰성 있는 의료 시설을 선택하고 고품질의 의료 서비스를 받음으로서, 시간과 비용을 절약할 수 있는 O2O 의료 마케팅 시장이 활성화 되고 있다. 인터넷, 모바일, SNS 등에서 증가하는 비정형 텍스트 데이터는 전문 의료 지식 이외에 작성자의 관심, 선호, 예상 등을 직간접적으로 반영하고 있기 때문에 의료정보의 신뢰성을 담보하기 어렵다. 본 연구에서는 빅데이터 및 MLP를 사용하여 의료정보 블로그를 분류 (의료블로그, 광고블로그)함으로서 사용자에게 보다 고품질의 의료정보 서비스를 제공하는 블로그 판단 시스템을 제안한다. 제안된 빅데이터 및 머신러닝 기술을 통해 인터넷상에 존재하는 국내의 다수 의료정보 블로그를 종합, 분석한 후 질환별 개인 맞춤형 건강정보 추천 시스템을 개발한다. 이를 통하여 사용자는 자신의 건강문제를 지속적으로 점검하고 가장 적절한 조치를 취함으로서 자신의 건강 상태를 유지하는 것이 가능할 것으로 기대된다.

Featured Student Profiles: An Instructional Blogging Strategy to Promote Student Interactions in Online Courses

  • LIM, Taehyeong;DENNEN, Vanessa P.
    • Educational Technology International
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    • 제23권1호
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    • pp.67-96
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    • 2022
  • Although blogs have been used in online learning environments with optimistic expectations, the distributed nature of blogs can pose some challenges. Currently, we do not have a robust collection of tested blogging strategies to help students interact more effectively with each other when blogs are used as a primary form of engagement in an online class. Thus, the purpose of the study was to test an early iteration of an instructional blogging strategy, "Featured Student Profiles," which is designed to help students become acquainted with each other better and encourage them to visit and comment on each other's blogs. Sixteen pre-service teachers who were enrolled in an online course in which student blogs are the primary medium of peer interactions, participated in the study. Using a design case approach, seven students participated in interviews and all student blog interactions were analyzed. Thematic analysis was applied to analyze the interview data and identify salient themes of students' blogging experiences overall under the study strategy. The findings indicated that students took the most direct and efficient path they experienced to complete the blog task. Their peer interaction patterns varied, but several shifted from random to targeted relationships as the semester progressed. Although all students perceived the strategy as a positive approach to peer awareness, there was no clear evidence of its effect on student interactions.

웹 2.0의 교육적 활용에 대한 연구 동향 분석: 블로그와 위키를 중심으로 (Research trend of Web 2.0 use in education)

  • 허희옥;강의성
    • 컴퓨터교육학회논문지
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    • 제13권2호
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    • pp.59-70
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    • 2010
  • 이 연구는 웹 2.0 도구의 교육적 활용에 대한 연구 동향을 분석하고, 이를 토대로 미래 연구를 위한 방향을 제시하는 데에 그 목적이 있다. 이 연구에서 설정한 웹 2.0 기반 학습환경의 속성과 논문 선정 기준을 토대로, 총 60개의 국내외 연구 논문을 선택하여, 연구대상, 연구주제, 활용된 웹 2.0 도구의 유형, 교육이론, 연구방법의 측면에서 분석하였다. 분석 결과, 웹 2.0 도구를 활용한 교육연구는 주로 대학생을 대상으로, 정보공유와 성찰을 지원하기 위한 협력상황에서 수행되어 왔다. 몇몇 연구들에서 논의된 교육이론은 협력학습, 문제중심학습 등과 같은 구성주의적 관점과 연계되며, 연구방법은 질적연구방법과 통합방법연구가 가장 많이 적용되었다. 후속연구를 위해서 연구대상의 확대, 협력상황에서의 지식구성 지원, 다양한 교육이론의 적용 등에 대하여 논의하였다.

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Prediction Model of Inclination to Visit Jeju Tourist Attractions based on CNN Deep Learning

  • YoungSang Kim
    • International Journal of Advanced Culture Technology
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    • 제11권3호
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    • pp.190-198
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    • 2023
  • Sentiment analysis can be applied to all texts generated from websites, blogs, messengers, etc. The study fulfills an artificial intelligence sentiment analysis estimating visiting evaluation opinions (reviews) and visitor ratings, and suggests a deep learning model which foretells either an affirmative or a negative inclination for new reviews. This study operates review big data about Jeju tourist attractions which are extracted from Google from October 1st, 2021 to November 30th, 2021. The normalization data used in the propensity prediction modeling of this study were divided into training data and test data at a 7.5:2.5 ratio, and the CNN classification neural network was used for learning. The predictive model of the research indicates an accuracy of approximately 84.72%, which shows that it can upgrade performance in the future as evaluating its error rate and learning precision.

블로그를 사용한 플립러닝 설계 (Design of Flipped Learning using Blog)

  • 김분희
    • 한국전자통신학회논문지
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    • 제13권2호
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    • pp.391-396
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    • 2018
  • 플립러닝 학습 모델이 등장하면서 다양한 실험이 진행되고 있다. 교수법으로써 플립러닝을 적용하기 위해서는 대부분 사전에 만들어 둔 학습 동영상이 요구된다. 이 경우 대학에서 중간고사와 기말고사 기간을 제외하고 13주 분량에 대해 미리 만들어야 하는 부담이 있다. 또한 이러한 시스템은 학습 내용의 변화를 주기 힘들기 마련이다. 본 논문에서는 기존 플립러닝 시스템의 환경 변화에 적응성이 떨어지는 특성을 개선하는데 블로그 사용을 제안한다. 블로그는 인터넷에 익숙한 학습자에게 편안한 구조라는 점도 하나의 장점이 될 수 있다. 본 연구에서는 하나의 교과목을 대상으로 블로그를 적용한 플립러닝 학습을 진행하여 실험한다. 결과적으로, 연구의 유의미한 학습 효과를 평가하고자 한다.

The Application of English Learning Activities based on the Technologies of Web 2.0

  • Lee, Il Seok
    • Journal of Information Technology Applications and Management
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    • 제24권4호
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    • pp.57-69
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    • 2017
  • Due to the development of technology even in learning and education area, many studies have begun to make a new attempts to research by using SNS, breaking away from traditional learning methods. However, the limitations of these studies are restricted only to the use of wireless Internet and writing on Web sites. This study aims to conduct a research on English learning activities that utilize various technologies such as Bigdata, Facebook, Social Network Services (SNS) and English applications. In addition, this study looks into how these modern technologies can be integrated in the classrooms and which activities can be applied in the English classroom. This research is to suggest effective English learning methods through a thorough investigation on the effectivity of various technologies based on the Web 2.0 such as Flickr, blogs, MySpace, and online discussion board within the context of the English learning. To verify the effect of the study, the subjects are divided into experimental and control group. The experiment is proceeded with pre- and post-test. The experimental group is designed to verify the effects using SNS tools such as Facebook, Bigdata, and Online Massive Learning. A survey is conducted to determine the preference of utilizing social networking sites and to analyze the effects in class. The result is that the average scores for experimental group have improved more than the average of control group. The comparison of pre and post-test of the experimental group shows that the significance of the higher and median group was statistically significant at the p<0.01.

직장예절교육용 공공개방데이터를 활용한 학습 프레임워크 (Learning Framework based on Public Open Data for Workplace Etiquette Education)

  • 김유리
    • 지식경영연구
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    • 제19권1호
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    • pp.133-146
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    • 2018
  • This study develops an Education framework for users who need public open data for workplace etiquette education in a timely manner by mobile application. It facilitates utilizing efficiently Workplace etiquette contents that scattered in various platforms such as blogs, Youtube and web-sites run by private education agencies. Furthermore, it makes Public open data for workplace etiquette through gathering 'metadata', which is a comprehensive source of workplace etiquette. Accordingly, framework changes recognition about necessity of workplace etiquette education positively and suggests method that can promote effective workplace etiquette education. If the system in the study can provide public open data of workplace etiquette education, many young job applicants and workers will have a proper perception on it and sound workplace etiquette culture will be settled in the companies. Public data has been rising as a vital national strategic asset these days. Hopefully the public data will pave a way to discover the blue ocean in the market and open up a new type of businesses.