• Title/Summary/Keyword: Affective Approach

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A Study for the Values of the Nine Chapters on the Mathematical Art on Mathematics Educational Viewpoint (구장산술의 수학교육학적 가치에 대한 연구)

  • 한길준;서주연
    • Journal for History of Mathematics
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    • v.17 no.3
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    • pp.61-72
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    • 2004
  • In this paper, we investigate several values of the Nine Chapters on the Mathematical Art on mathematics educational viewpoint. We study them with four points of view: mathematical approach through problems of real life, algorithmization of concept and type, significance of affective domain and application of arithmetic. The result shows that the Nine Chapters on the Mathematical Art have great meaning of today's Korean mathematics education and possibility of application.

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Perceptions of preservice teachers on AI chatbots in English education

  • Yang, Jaeseok
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.44-52
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    • 2022
  • With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

A Case Study on Making the Meaning of a Teacher and a Student in a Graph (그래프에서 교사와 학생의 의미 구성에 대한 사례연구)

  • Song, Jung-Hwa;Lee, Chong-Hee
    • School Mathematics
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    • v.9 no.3
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    • pp.375-396
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    • 2007
  • The purpose of this study is to analyze how a mathematics teacher and a high school student make the meaning in a graph and how aspects of the interpretation of a graph are interacted during the signification process, and to suggest considerations for teaching and learning of a graph. The findings of a case study have led to conclusions as follows: All of them have a difficulty in making the meaning in a graph and construct the meaning as a nested signification model. In the process which they make the meaning, they interrelate cognitive, contextual, and affective aspects and construct interpretants. In this process, a teacher focuses on cognitive aspect, based on a qualitative approach. But a student considers contextual aspect more, based on a quantitative approach. This study suggests three considerations for teaching and learning of a graph.

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Influence of Math Education Utilizing Traditional Weights and Measures on Affective Domain of Elderly Learner (전통(傳統) 도량형(度量衡)을 활용한 수학교육(數學敎育)이 노인(勞人)학습자의 정의적(情意的) 영역(領域)에 미치는 영향)

  • Kim, Jae-Hyo;Ko, Ho-Kyoung
    • The Journal of Korean Medical History
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    • v.24 no.1
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    • pp.1-8
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    • 2011
  • As the value of living a complete life has spread, the importance of elderly education as a part of continuing education is ever increasing. As much as the bodily health, the activity to prevent dementia or healthy brain is being emphasized, the math utilizing traditional material was suggested to devise the curriculum appropriate for the emotional/cognitive level of the elderly. This could induce interests of the elderly, and ultimately improved the concept of self-consciousness and self-esteem. Also, a plan for effective application of such 'silver math' should be prepared, and the execution of a fusion study for a medical approach of its effects is proposed.

Neurobiology of Aggression (공격성의 신경생물학)

  • Kim, Ki Won;An, Eun-Soog;Lee, Yu-Sang;Park, Seon-Cheol
    • Korean Journal of Biological Psychiatry
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    • v.20 no.4
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    • pp.129-135
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    • 2013
  • Aggression can be defined as 'behavior intended to harm another' which can be seen both from humans and animals. However, trying to understand aggression in a simplistic view may make it difficult to develop an integrated approach. So, we tried to explain aggression in a multidisciplinary approach, affected by various factors such as neuroanatomical structures, neurotransmitter, genes, and sex hormone. Parallel with animal models, human aggression can be understood with two phenomena, offensive aggression and defensive aggression. Neurobiological model of aggression give a chance to explain aggression with an imbalance between prefrontal regulatory influences and hyper-reactivity of the subcortical areas involved in affective evaluation, finally in an aspect of brain organization. Serotonin and GABA usually inhibit aggression and norepinephrine while glutamate and dopamine precipitate aggressive behavior. As there is no one gene which has been identified as a cause of aggression, functions between gene to gene interaction and gene to environment interaction are being magnified. Contributions of sex hormone to aggression, especially molecular biologic interaction of testosterone and regulation of estrogen receptor have been emphasized during the research on aggression. This multidisciplinary approach on aggression with types, neurochemical bases, and animal models can bring integrated interpretation on aggression.

An Analysis of School Health Nurses' Attitude Toward Sex Education: A Q-methodological Approach (양호교사의 성교육에 대한 태도 유형분석 : Q방법론적 접근)

  • Chung, Yaung-Sook
    • Research in Community and Public Health Nursing
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    • v.6 no.2
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    • pp.197-211
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    • 1995
  • This study was designed to identify school health nurses' attitudes toward sex education through a Q-methodological approach. Research was done from Apr. 3, 1995 to Oct. 15, 1995. A final Q-sample was selected to 37 statements out of initial 128 statements after consultation from counselors, educators and writers related to sex education. The P -sample was consisted with 32 school health nurses in Chonbuk province. The collected data were analyzed by Quanal program on PC. The results of the study were as follows: School health nurses are categorized into 6 types. The first type, receiving type with cognition deficiency about general learning objectives of sex education were consisted with 4 subjects. The second type, valuing type with cognition deficiency about general learning objectives of sex education were consisted with 6 subjects. The third type, adopting behavior type with cognition deficiency about specific learning objectives of sex education were consisted with 5 subjects. The fourth type, receiving type with cognition deficiency about specific learning objectives of sex education were consisted with 5 subjects. The fifth type, making sense of information type with cognition deficiency about specific learning objectives of sex education were consisted with 5 subjects. The sixth type, adopting behavior type with cognition deficiency about general learning objectives of sex education were consisted with 7 subjects. As a result of this study, we may realize necessity of prepared sex educators. Sex the educators must be fully cognitive and affective toward sex education before practicing sex education.

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Person-centered Approach to Organizational Commitment: Analyses of Korean Employees' Commitment Profiles (조직몰입에 대한 사람중심 접근: 국내 직장인들의 조직몰입 프로파일 분석)

  • Oh, Hyun-Sung;Jung, Yongsuhk;Kim, Woo-Seok
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.3049-3067
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    • 2018
  • Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.

The Influence of the History of Mathematics on the School Mathematics (수학사가 학교 수학에 미치는 영향)

  • Ko Ho Kyoung
    • Journal for History of Mathematics
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    • v.17 no.4
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    • pp.87-100
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    • 2004
  • There is great enthusiasm among many mathematics educators to seek to understand how mathematical history can be employed to emphasize the usefulness of mathematics and to make it even more useful. This study focused on reviewing the history of mathematics to provide a 'source of insight.' In this study, the reasons for including the history of mathematics in the mathematics curriculum were divided into three domains: cognitive, affective, and sociocultural. Each domain included the followings: mathematical thinking and understanding; development of a positive attitude and increase motivation; and last, humanistic facets and sociocultural experience. At the same time, we need to develope a pedagogical approach that allows educators to use history properly. Furthermore, we must integrate the historical topics into regular curricula including the syllabus historically-informed grounds.

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The Positive Effect of Worker's Organizational Commitment in Social Enterprise for Improving Job Satisfaction

  • KANG, Sun-Kyung;JUNG, Ha-Yong
    • The Journal of Industrial Distribution & Business
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    • v.14 no.1
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    • pp.39-47
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    • 2023
  • Purpose: This research aims at determining institutional commitment impact and how it influences job satisfaction. It aims at bridging the gap in research on the study topic. Its major focus is on work content and institutional commitment as the main variables and how they impact companies and employees. Research design, data and methodology: The current research has chosen the literature content approach and it is a reporting guideline for methodical assessments. It offers a consistent approach for conducting and reporting these types of studies, which can help to improve the quality and transparency. Results: The finding of the current research has showed that workers in social companies need jobs with higher values and responsibilities, company policy, among other factors. Workers' organization commitment towards social enterprise for improving workers' job satisfaction factors will include affective commitment, continuous commitment, normative commitment, and the commitment profile of the organization. Conclusions: This research finally insists that the findings of the current research would aid in enhancing employee knowledge and understanding of work satisfaction, as well as the essence of institutional commitment. Most employees lack adequate knowledge of the implications of job satisfaction not forgetting their personal needs as indicated in the individual need model.

Research on Classification of Human Emotions Using EEG Signal (뇌파신호를 이용한 감정분류 연구)

  • Zubair, Muhammad;Kim, Jinsul;Yoon, Changwoo
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.821-827
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    • 2018
  • Affective computing has gained increasing interest in the recent years with the development of potential applications in Human computer interaction (HCI) and healthcare. Although momentous research has been done on human emotion recognition, however, in comparison to speech and facial expression less attention has been paid to physiological signals. In this paper, Electroencephalogram (EEG) signals from different brain regions were investigated using modified wavelet energy features. For minimization of redundancy and maximization of relevancy among features, mRMR algorithm was deployed significantly. EEG recordings of a publically available "DEAP" database have been used to classify four classes of emotions with Multi class Support Vector Machine. The proposed approach shows significant performance compared to existing algorithms.