• Title/Summary/Keyword: accuracy and fairness of contents

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Secondary Teachers' and Students' Opinion on Environmental Education Textbooks (중등 교사와 학생의 환경 교육 교재에 대한 의견 분석)

  • Shin Dong-Hee;Son Yeon-A;Ko Hee-Ryung;Lee Kee-Young;Lee Dong-Yeob
    • Hwankyungkyoyuk
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    • v.19 no.1 s.29
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    • pp.64-79
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    • 2006
  • This study was designed to make valuable suggestions for the development of environmental education(EE) teaching materials through teachers' and students' opinions. In the summer of 2005, an opinionnaire was sent to 1,749 secondary school EE teachers and 270 teachers of them answered. One hundred and six middle school students and 196 high school students in Kyunggi area were also participated in this survey. The opinionnaire in this study was based on the six standards, fairness and accuracy, depth, emphasis on skill building, action orientation, instructional soundness, and usability, developed by NAAEE(1998). Most teachers were totally dependent on textbooks in their teaching EE. They evaluated current EE textbooks most positively in the perspective of 'fairness and accuracy', whereas they evaluated them most negatively in the perspective of 'usability'. The problems of EE textbooks were differently recognized by teachers and students. The lack of contents stimulating students' interest was considered as the most serious problem of EE textbooks by students. Simultaneously, it was considered as the least serious problem of EE textbooks by teachers. Both EE teachers and students expect the future EE textbooks would consist of proper contents to reflect EE characteristics.

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A Study on Elementary Mathematics Teacher's Guide Book according to 2009 Revised Curriculum (2009 개정 교육과정에 따른 초등수학 교사용 지도서 검토 연구)

  • Kim, Sung Joon
    • East Asian mathematical journal
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    • v.32 no.2
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    • pp.153-174
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    • 2016
  • The purpose of this study is to provide an opportunity for better understanding and application of 2009 revised elementary school mathematics textbooks through focus group's investigations on the elementary mathematics teacher's guide books. First, We survey previous studies on the teacher's guide books to make the frame of investigation. Next, We compose focus group(8 teachers) for 3~4th grades, and analyze the teacher's guide books according to ready-made frame: compliance of curriculum, accuracy and fairness of contents, selection and organization of contents. As results of investigation, system of organization of the teacher's guide books is needed. Goal, contents, teaching methods, and evaluations have to be consistent in describing mathematical terms. And errors in mathematics and mathematics education are examined more carefully. The teacher's guide books afford teachers many materials and informations to teach mathematics through classroom lessons. So more study on the teacher's guide books and developmental study for the model guidebooks is needed along with the revised curriculum and new textbooks.

Validity of Language-Based Algorithms Trained on Supervisor Feedback Language for Predicting Interpersonal Fairness in Performance Feedback

  • Jisoo Ock;Joyce S. Pang
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.1118-1134
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    • 2023
  • Previous research has shown that employees tend to react more positively to corrective feedback from supervisors to the extent they perceive that they were treated with empathy, respect, and concern towards fair interpersonal treatment in receiving the feedback information. Then, to facilitate effective supervisory feedback and coaching, it would be useful for organizations to monitor the contents of feedback exchanges between supervisors and employees to make sure that supervisors are providing performance feedback using languages that are more likely to be perceived as interpersonally fair. Computer-aided text analysis holds potential as a useful tool that organizations can use to efficiently monitor the quality of the feedback messages that supervisors provide to their employees. In the current study, we applied computer-aided text analysis (using closed-vocabulary text analysis) and machine learning to examine the validity of language-based algorithms trained on supervisor language in performance feedback situations for predicting human ratings of feedback interpersonal fairness. Results showed that language-based algorithms predicted feedback interpersonal fairness with reasonable level of accuracy. Our findings provide supportive evidence for the promise of using employee language data for managing (and improving) performance management in organizations.

A Study on Securing Competitiveness of Contents in Local Broadcasting (지역방송 콘텐츠의 제작경쟁력 확보방안 연구)

  • Joo, Chungmin;Han, Jinmann
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.627-635
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    • 2016
  • The study analyzed what programs local broadcasting stations should produce to secure competitiveness in contents. As a result, in order to make more local people watch news programs, providing accurate local and general news and information and a forum for discussion on major issues is required. Moreover, it was revealed that providing a forum for discussion on local issues and representing the voice of local people based on accuracy, fairness and reliability is important to improve satisfaction with news. For increasing general program ratings of local broadcasts, it is required to provide interesting programs and encourage local people to participate in the programs. Additionally, in order to raise satisfaction with general programs, it is necessary to offer interesting and high quality programs, deal with local issues and information and provide local residents with a platform for participation.

Text Mining-based Fake News Detection Using News And Social Media Data (뉴스와 소셜 데이터를 활용한 텍스트 기반 가짜 뉴스 탐지 방법론)

  • Hyun, Yoonjin;Kim, Namgyu
    • The Journal of Society for e-Business Studies
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    • v.23 no.4
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    • pp.19-39
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    • 2018
  • Recently, fake news has attracted worldwide attentions regardless of the fields. The Hyundai Research Institute estimated that the amount of fake news damage reached about 30.9 trillion won per year. The government is making efforts to develop artificial intelligence source technology to detect fake news such as holding "artificial intelligence R&D challenge" competition on the title of "searching for fake news." Fact checking services are also being provided in various private sector fields. Nevertheless, in academic fields, there are also many attempts have been conducted in detecting the fake news. Typically, there are different attempts in detecting fake news such as expert-based, collective intelligence-based, artificial intelligence-based, and semantic-based. However, the more accurate the fake news manipulation is, the more difficult it is to identify the authenticity of the news by analyzing the news itself. Furthermore, the accuracy of most fake news detection models tends to be overestimated. Therefore, in this study, we first propose a method to secure the fairness of false news detection model accuracy. Secondly, we propose a method to identify the authenticity of the news using the social data broadly generated by the reaction to the news as well as the contents of the news.

Exploration of Development and Applicability of a Classics Book Reading Program as Character Education for Nursing Students (간호대학생 인성교육을 위한 고전읽기 프로그램 개발과 적용가능성 탐색)

  • Kim, Bog-Ja;Jeon, Eunyoung
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.676-686
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    • 2016
  • This study explored the development and applicability of a classics book reading program in the nursing curriculum as a character education program in order to enhance nursing students' holistic growth and development. An increasing number of universities in Seoul have introduced a classics book reading program as part of the curriculum and some have even designated it as an essential subject. Various such programs have been developed in addition to the regular education curriculum. The following aspects are important to consider in a classics book reading program for nursing students: trust, respect, responsibility, fairness, caring, citizenship, endurance, healthy self-concept, and self-sustained growth performance. Classics book selections need to take into account the level of the students, and the efforts should be made to ensure the accuracy of the translation and the level of students' understanding. It is difficult to form character through short-term education. Despite difficulties, character formation requires continued interest and systemic education that will lead nursing students to show inbuilt positive characteristics. Inclusion of character education in the nursing curriculum should be considered with the agreement of the university, based on political decision-making.

Social Media Uses: ethical factors and the effects for teenagers (소셜 미디어 이용: 청소년 대상 윤리적 요인과 그 영향)

  • Lee, Hyun-Suk
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.477-487
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    • 2017
  • This study is for empirical analyzing the ethical contents in using social media, such as what kind of ethical responsibility do the teenage users have, how do they recognize the ethical concept in producing or sharing the information and how these ethical factors affect their behavior of social media uses. After survey with the structured questionnaire, statistical analyses with available 227 cases are processed. As a result, there are 4 ethical factors in using social media which as included 'privacy', 'copyright', 'fullness', 'accuracy', 'truth-telling', 'fairness', 'relief of harmful effect', 'credibility', 'objectivity', 'impartiality', included 'moderation', 'respect', 'autonomy', 'control', 'care of mischief', included 'interactivity', 'multiplicity', 'anonymity', 'divergence', 'social community', included 'transparency', 'openness'. All these ethical factors are positive correlated to the level of social media users' opinion expression, opinion support, information leading, information searching. Especially, is the most effective factor to social media users' behavior.