• Title/Summary/Keyword: 감정 학습

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An Analysis of Vocational High School Students Preference for Science and Its Causal Factors (실업계 고등학생의 과학선호도와 인과요인 분석)

  • Im, Sung-Min
    • Journal of The Korean Association For Science Education
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    • v.22 no.4
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    • pp.892-905
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    • 2002
  • There are an increasing emphasis on affective domain, for example interest or belief, in science education. But decreasing interest on learning science and tendency to avoid science-related job are serious problems of secondary science education, especially in case of vocational high school students. However there are few researches for vocational high school students. In this study, preference for science is assumed to be a multidimensional property that reveals ones' behavioral volition and valuation as well as emotional response upon learning science. To investigate vocational high school students' preference for science and its causal factors, a Likert style questionnaire was developed through factor analysis. Students' preference for science was analyzed by 3 categories, and its causal factors are investigated by path analysis using structural equation model.

The Influence of the Inclusive Leader on Group Interactions in Science Inquiry Experiments (과학실험수업에서 포용적 리더가 모둠의 상호작용에 미치는 영향)

  • Park, Joo-Young;Seong, Suk-Kyoung;Choi, Byung-Soon
    • Journal of The Korean Association For Science Education
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    • v.30 no.1
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    • pp.124-139
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    • 2010
  • The purpose of this study was to understand the influence of the inclusive leader on group interactions in scientific inquiry experiments emphasizing group interactions. For this purpose, the students' verbal interaction patterns in groups with inclusive leaders were compared with those of groups with normal leaders and the inclusive leaders' influence on the progress of group interactions was analyzed extensively. This study focused on interactions of four small groups of seventh graders, with two having inclusive leaders and two having normal leaders. Students were involved in seven science classes for three weeks and students' interactions in each class were observed and recorded using video/audio. The data recorded was transcribed. Analysis of verbal interaction patterns showed that the small group with the inclusive leader had a more positive atmosphere and highly structured interactions. Results of the study showed that interactions of small groups with inclusive leaders were sustained for longer times, since the inclusive leaders initiated and expanded interactions. The inclusive leaders behaved with consideration of the feelings of other members in sharing their roles or facing critical situations. In addition, although they sometimes gave pressured other members to get them to participate, the pressure did not discourage their interaction as opposed to the emotional pressure that normal leaders would exert. The inclusive leaders were pleased with small-group interactions and activities. They considered the feelings of the other members and respected others' opinions. Such characteristics of inclusive leaders preserved a positive atmosphere and produced more high-level interactions. Thus, the groups that inclusive leaders had influenced had a pleasant and significant learning experience. Educational implications of characteristics of the inclusive leader and the organization of groupings were drawn.

Chart-based Stock Price Prediction by Combing Variation Autoencoder and Attention Mechanisms (변이형 오토인코더와 어텐션 메커니즘을 결합한 차트기반 주가 예측)

  • Sanghyun Bae;Byounggu Choi
    • Information Systems Review
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    • v.23 no.1
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    • pp.23-43
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    • 2021
  • Recently, many studies have been conducted to increase the accuracy of stock price prediction by analyzing candlestick charts using artificial intelligence techniques. However, these studies failed to consider the time-series characteristics of candlestick charts and to take into account the emotional state of market participants in data learning for stock price prediction. In order to overcome these limitations, this study produced input data by combining volatility index and candlestick charts to consider the emotional state of market participants, and used the data as input for a new method proposed on the basis of combining variantion autoencoder (VAE) and attention mechanisms for considering the time-series characteristics of candlestick chart. Fifty firms were randomly selected from the S&P 500 index and their stock prices were predicted to evaluate the performance of the method compared with existing ones such as convolutional neural network (CNN) or long-short term memory (LSTM). The results indicated the method proposed in this study showed superior performance compared to the existing ones. This study implied that the accuracy of stock price prediction could be improved by considering the emotional state of market participants and the time-series characteristics of the candlestick chart.

A Study on Automatic Classification of Profanity Sentences of Elementary School Students Using BERT (BERT를 활용한 초등학교 고학년의 욕설문장 자동 분류방안 연구)

  • Shim, Jaekwoun
    • Journal of Creative Information Culture
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    • v.7 no.2
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    • pp.91-98
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    • 2021
  • As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

비대면 창업 멘토링 방식이 멘티의 만족도에 미치는 영향 분석

  • Hwang, Bo-Yun
    • 한국벤처창업학회:학술대회논문집
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    • 2021.04a
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    • pp.79-83
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    • 2021
  • 2020년 2월 중순 이루 코로나 바이러스 2019(Covid-19)로 인하여 정부의 기술창업기업 지원 방식도 전반적으로 기존의 대면 방식에서 비대면 방식으로 전환하여 현재까지 대부분 진행되어 오고 있다. 창업기업에 대한 멘토링은 특히 멘티인 창업자와 멘토가 기존에 알고 있는 관계가 아닌 대부분 처음 만나는 관계의 확률이 높음에 따라 사전에 상호간에 라포(Rapport)가 형성되지 않은 상태에서 멘토링이 이루어진다. 이로 인해 Rapport가 형성이 안된 상태에서는 서로 호감을 느끼거나, 나아가 공감대 형성, 그리고 터놓고 이야기 하여, 서로 간의 대화가 충분히 감정적으로나 이성적으로 이해하기가 어려운 경우가 대부분이다. 이러한 경우에는 충분한 멘토링이 어려울 것으로 예상할 수 있다. 따라서 본 연구는 창업 멘토링의 특수성을 감안해 볼 때 정부 기술창업지원 방식 중 기업의 성과를 높이기 위한 멘토링 과정에서 대면 또는 비대면 방식의 방법 차이가 멘토링 만족도에 영향을 주는 것을 그 목적으로 한다. 본 연구는 창업 기업의 성과를 높이기 위한 중소벤처기업부의 도약패키지 사업 중 2019년과 2020년의 제품 아카데미 사업에 참여한 283명을 대면 방식이었던 2019년 211명과 비대면 방식이었던 2020년 72명의 창업 기업 멘티들의 학습 과정에서 발생하는 배운 내용을 실천하고자 하는 학습 전이 효과 경로에 차이가 발생하는 지에 대하여 분석하였다. 자기 기입 설문 방식으로 인해 발생할 수 있는 동일방법편의를 해결하고자 구조화된 설문지 구성할 때부터 응답자의 일관성 동기를 줄이려고 하였고, 통계분석 단계에서도 다수이 방법으로 측정하는 일반 CFA 모형을 활용하였다. 실증 분석결과 비대면 방식의 창업 멘토링 방식을 학습 전이 효과 경로 결과에 있어서 조절효과가 있음을 유의한 통계적 결과고 확인하고, 사후 검증을 통해 볼 때 등분산 가정이 되지 않은 상황에서 차이가 있음을 통계적으로 유의하게 나타났다.

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Analysing High School Students' Mathematical Belief System and Core Belief Factors (고등학생의 수학적 신념체계 및 중심신념요인 분석)

  • Kim, Yun Min;Lee, Chong Hee
    • School Mathematics
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    • v.16 no.1
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    • pp.111-133
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    • 2014
  • This study aims to explore mathematical belief system and core belief factors to be found. The mathematical belief system becomes an auto regulation device for students' using mathematical knowledge in mathematical situations and provides them with the context to perceive and understand mathematics. They have individual mathematical beliefs for each of mathematics subject, mathematical problem solving, mathematical teaching and learning and self-concept, and these beliefs of students construct mathematical belief system according to mutual relationships among the mathematical beliefs. Using correlation analysis and multiple regression, mathematical belief system was structuralized and core belief factors were found. Mathematical belief system is structuralized and, as a result the core belief factors that are psychological centrality of high school students' mathematical belief system are found to be persistence, challenge, confidence and enjoyment. These core belief factors are formed on the basis of personal experiences and they are personal primitive beliefs that cannot be changed with ease and cannot be shared with other people but they are related with many other beliefs influencing them.

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Basic Nursing Practice Blended Learning in Corona 19 Situation Class experience - focus group interview (코로나 19 상황 하 기본간호학 실습 블렌디드 러닝수업 경험 - 포커스 그룹 인터뷰를 중심으로)

  • Yoo, Mi-Ja
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.57-69
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    • 2022
  • This study is a qualitative study attempting to understand the experiences of blended learning of curriculum of fundamental nursing practice under the COVID-19. In the present study participated with 18 nursing students, data was collected through focus group interviews, the blended class was organized until 14th week by configuring a non-face-to-face e-Learning for the odd week and the face-to-face practice for the even week, and the collected data was analyzed using content analysis methods. As a result of analysis, a total of 250 significant statements were derived, the statements being analyzed based on eight subcategories, four upper categories, and two subjects. The derived four upper categories were "maladjustment to a sudden change in teaching method," "lowering of learning efficiency and confusion during class," "ambivalence toward online class," and "positive experience for a new learning method." The present study would be able to provide the basic data for developing a blended, learning operating program and applying to various practice-based curriculum by providing useful information relating to the blended learning class for the fundamental nursing practice for nursing students in the on-tact era.

Impact of Inner/External Motive of Children with Underachievement in Basic Learning on Academic Failure Tolerance, Depression and Academic Efficacy (기초학습부진아동의 내·외적동기에 따른 학업적 실패내성, 우울, 학업효능감에 미치는 영향)

  • Park, Soon-Gil;Cho, Jeung-Ryeul
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.135-142
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    • 2016
  • This study aimed to identify the correlation between internal/external motive, academic failure (emotion, behavior, task preference), depression (depressive emotion, behavioral disorder, loss of interest, self-degradation and physiological symptom), and academic efficacy of elementary school students with underachievement basic learning, and discover the influential variables on internal/external motive, targeting 56 elementary school students with underachievement in third and fifth grade of 10 elementary schools in G metropolitan city. The research conducted T-test to figure out the difference between the children with underachievement by year and carried out theregression analysis to identify the predictors of self-determination motives. First, there was a difference between the third and fifth graders in terms of the external motives. Second, the influential variables for external motives of children with underachievement included depressive emotion, loss of interest and physiological symptom. Therefore, as more third graders with underachievement study under the external motives compared to the fifth graders, it is concluded necessary to adopt a program to reduce the variables for depression that influence the external motives.

Exploring Science Education with Consideration of "Ethics of Care" ("보살핌 윤리"를 적용한 과학 교육 가능성 탐색)

  • Shin, Donghee;Lee, Jihee
    • Journal of The Korean Association For Science Education
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    • v.32 no.5
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    • pp.954-973
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    • 2012
  • To apply "ethics of care" into science education, this study summarized previous studies of care, ethics of care, and caring education. Through a wide range of literature review, we proposed science learning model with ethics of care. This model has steps of 'being in a context of issue, perception of issue-related value, choosing value with ethics of care, feeling empathy to caring subject, experiencing care, and verifying the effectiveness of caring, which are reflected characteristics of ethics of care, contextual, connected, and practical. It is expected that students will be able to solve science-related issues while keeping in mind consideration for nature as a caring subject.

Extracting Multi-type Elements Consisting of Multi-words from Sentences (문장으로부터 여러 단어로 구성된 여러 유형의 요소 추출)

  • Yang, Seon;Ko, Youngjoong
    • Annual Conference on Human and Language Technology
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    • 2014.10a
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    • pp.73-77
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    • 2014
  • 문장을 대상으로 특정 응용 분야에 필요한 요소를 자동으로 추출하는 정보 추출(information extraction) 과제는 자연어 처리 및 텍스트 마이닝의 중요한 과제 중 하나이다. 특히 추출해야할 요소가 한 단어가 아닌 여러 단어로 구성된 경우 추출 과정에서 고려되어야할 부분이 크게 증가한다. 또한 추출 대상이 되는 요소의 유형 또한 여러 가지인데, 감정 분석 분야를 예로 들면 화자, 객체, 속성 등 여러 유형의 요소에 대한 분석이 필요하며, 비교 마이닝 분야를 예로 들면 비교 주체, 비교 상대, 비교 술어 등의 요소에 대한 분석이 필요하다. 본 논문에서는 각각 여러 단어로 구성될 수 있는 여러 유형의 요소를 동시에 추출하는 방법을 제안한다. 제안 방법은 구현이 매우 간단하다는 장점을 가지는데, 필요한 과정은 형태소 부착과 변환 기반 학습(transformation-based learning) 두 가지이며, 파싱 혹은 청킹 같은 별도의 전처리 과정도 거치지 않는다. 평가를 위해 제안 방법을 적용하여 비교 마이닝을 수행하였는데, 비교 문장으로부터 각자 여러 단어로 구성될 수 있는 세 가지 유형의 비교 요소를 자동 추출하였으며, 실험 결과 정확도 84.33%의 우수한 성능을 산출하였다.

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