• 문화기술의 융합
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• 제10권3호
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• pp.923-932
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• 2024

이 연구의 목적은 과학기술 시대 교수학습의 방향을 탐색하는 것이다. 결론은 다음과 같다. 신유물론 입장에서 교수학습의 방향은 첫째, 학습 경험의 중요성을 강조한다. 둘째, 의미 부여를 중시한 교수 방법이 필요하다. 셋째, 다양한 관점과 배경을 고려할 필요가 있다. 현상학 시대 교수학습 방향은 첫째, 학습의 의미와 의미 부여가 중요하다. 둘째, 주체적 학습자의 역할을 강조한다. 셋째, 다양한 경험을 통합해야 한다. 넷째, 환경과 상황에 따른 유연한 접근이 필요하다. 고정된 교수법이 아니라 학습자의 상황과 요구에 맞추어 다양한 교수 전략을 활용할 필요가 있다. 행위자 네트워크 이론 관점에서 교수학습의 방향은 첫째, 다양한 행위자를 포용할 필요가 있다. 둘째, 중재자 행위자의 역할을 이해할 필요가 있다. 셋째, 네트워크의 동적인 측면을 강조할 필요가 있다. 넷째, 상호작용과 의미 부여를 강조할 필요가 있다. 다섯째, 기술과의 상호작용을 강화할 필요가 있다. 여섯째, 비선형적이고 열린 학습 환경을 조성할 필요가 있다. 트랜드 코리아 2024에서 제시한 사회와 교수학습의 방향은 분초 사회에서는 시간이 귀중한 자원으로 간주하며, 변화하는 환경에서 교수학습은 적응하고 유용한 방향으로 발전해야 한다.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제3권1호
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• pp.79-88
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• 1999

This paper shows how the social tradition and belief of korea on education affects teachers and students and learning. 1 Interview with teacher. During surveying this teacher's class, we knowed that the teacher have accentuated algorism loaming and preparation fur external examination in math class. Teacher's beliefs about mathematics have a strong effect on the method of class and the performance of problem solving 2. Interview with students and short test. 1) Students usually had fine ability of calculation for number. But Many pupils didn't know the meaning of the operations. 2) The most of pupils are good at routine math problem solving but when the question whose the condition don't meet was given, they experienced difficulties.3.Korean sociocultural specialty on education: The korean place high emphasis on education and think of education as the means of success. This emphasis can be traced to the Confucian view. 1) tradition on examination culture. 2) the traditional convention of the learning method. Korean sociocultural specialty on education play role of strengthen role learning and algorism class. The important things to education reformation are getting a balance between practice and understanding. we should make changes not only in national dimension but also in math class.

• 한국초등과학교육학회지:초등과학교육
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• 제27권3호
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• pp.211-220
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• 2008

This study examined pre-service science teachers' perceptions of informal learning by adopting a discourse analysis method suggested by Mortimer and Scott(2003). The guiding research questions were: (1) What are some general patterns of the discourse occurring in science museums between a teacher and a student? (2) In what ways do the pre-service teachers perceive informal learning and teacher's role in informal settings? The 7 pre-service science teachers participated in this study. Each of them shepherd an elementary student around the museum and implemented their own instruction using a pre-planed lesson plan. Results indicated that even though the teachers had learned some characteristics of informal teaming in their college courses, they tended to implement their traditional view of science teaming into the instruction and the view affected them to set up their teaching purposes and contents, and to select communicative approach, patterns of discourse and ways of intervention.

• Educational Technology International
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• 제25권1호
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• pp.67-92
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• 2024

This study aims to verify the practical effectiveness of learning management system (LMS) by introducing a LMS enhancing digital assessment utilizing automatic item generation in order to strengthen college student's mathematics performance. Teaching assisted with digital assessment in the LMS was applied to college mathematics classes, and the research question is whether or not students in the classes utilizing the LMS perform better than the regular classes. In particular, a calculus course, which is the foundation of important artificial intelligence technology in the future, was utilized in this study. The participants of this study were 248 freshmen in science and engineering who were taking calculus courses at a small to mid-size university. A total of 156 freshmen were selected after applying a propensity score matching method (PSMM), 78 from classes utilizing the LMS and 78 from regular classes without the LMS assisted with the digital assessment. As a result, it was found that there was a statistically significant difference in the math academic growth of students who used the LMS and those who did not. In other words, when LMS was used in calculus, students' academic growth was greater. The results of this study are meaningful in that they observed students' academic growth and confirmed that LMS enables a positive role in students' academic growth. In addition, if digital assessment is strengthened and LMS that enables individualized learning analysis is introduced and implemented in educational institutions, it is expected to play a major role in strengthening students' academic performance.

• 지식경영연구
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• 제12권1호
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• pp.17-37
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• 2011

This paper is aimed at investigating the influence of the learning organization's structural characteristics, learner's characteristics, and perceived organizational support (POS) on organizational knowledge creation. also the POS is tested as a moderator on the relationship between learner's characteristics including learning goal orientation and learning self-efficacy and organizational knowledge creation. the results are as follows. for main effect hypotheses, both connecting the organization to its environment and establishing systems to capture and share learning system representing learning organization's structural characteristics have significant positive impact on organizational knowledge creation. the POS also has a significant impact on organizational knowledge creation. However, learning goal orientation and learning self-efficacy have not significant impact on organizational knowledge creation. for moderating effect hypothesis, POS moderates the relationship between learning goal orientation and organizational knowledge creation, which means if the POS is high then learning goal orientation has more significant positive impact on it. Based on our findings, we conclude that structural characteristics of learning organization provide organizations with an opportunity of knowledge creation. in particular, interconnectedness of organization with environment and organizational knowledge sharing systems determine the ways of behaving that are related to learning within organizations. however, learner's characteristics did not have a significant effect on organizational knowledge creation, which could be interpreted due to the fact that employees are not motivated to create new knowledge if they are rarely required to involve challenging works, generate new knowledge, or share preexisted knowledge with others.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.581-584
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• 2013

e-Learning은 기술기반학습으로 정보통신 기술을 활용하여 지식을 획득하는 과정이다. 이 과정에서 기업교육 담당자의 역할 또한 새로운 변화를 요구받고 있으며, 기업교육 현장에서 e-Learning 팀장이나 교육담당자 등을 포함한 e-Learning을 담당하고 있는 기업의 HR 담당자들 또한 e-Learning에 의한 변화를 심하게 겪고 있다. 그 이유는 기업 특성과 관련하여 내부적으로 HR 담당자의 교육 훈련에 대한 경험축적은 e-Learning 도입 및 활용에 도움을 주기 때문이며, 수많은 커리큘럼이 mass customization화 되어 있기 때문에 이를 명확하게 선정하여 정의하는 것이 HR 담당자들의 몫이기 때문이다. 본 연구는 이러한 인식을 토대로 하여 호텔업에서의 e-Learning 도입과 활용이 호텔의 HR 담당자에게 어떠한 영향을 미치며, 그들 자신의 역할에 어떠한 변화를 가져오는가에 대해 해석학적 현상학(hermeneutic phenomenology)을 채택하여 살펴보고자 하였다.

• 한국어정보학회:학술대회논문집
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• 한국어정보학회 2016년도 제28회 한글및한국어정보처리학술대회
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• pp.111-116
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• 2016

의미역은 자연어 문장의 서술어와 관련된 논항의 역할을 설명하는 것으로, 주어진 서술어에 대한 논항인식(Argument Identification) 및 분류(Argument Labeling)의 과정을 거쳐 의미역 결정(Semantic Role Labeling)이 이루어진다. 이를 위해서는 격틀 사전을 이용한 방법이나 말뭉치를 이용한 지도 학습(Supervised Learning) 방법이 주를 이루고 있다. 이때, 격틀 사전 또는 의미역 주석 정보가 부착된 말뭉치를 구축하는 것은 필수적이지만, 이러한 노력을 최소화하기 위해 본 논문에서는 비모수적 베이지안 모델(Nonparametric Bayesian Model)을 기반으로 서술어에 가능한 의미역을 추론하는 비지도 학습(Unsupervised Learning)을 수행한다.

• 한국과학교육학회지
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• 제32권3호
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• pp.502-523
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• 2012

The purpose of this study is to explore the relationship between selected components of conceptual ecology that are reflected in high school science students' statements, when answering questions. This study follows from a position that there is reason to believe that, in the process of answering questions, many aspects of conceptual ecology are likely to play a role. Data were gathered through six audio-taped interviews, the science teacher's profiles of each student, the students' personal journals, their assignments, and their examinations and participation in class. Kay and KY were selected as the focus of this study because theirs were both dramatic as well as representative cases. As the findings suggest, learning styles differ according to distinctions within individuals' conceptual ecologies. Thus the way in which a person learns science varies according to the construction of her/his conceptual ecology. This suggests that different forms of pedagogy may be effective with different types of learners. This also suggests that science educators may have a role in assisting students to develop into constructed, rather than received, learners.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2016년도 제28회 한글 및 한국어 정보처리 학술대회
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• pp.111-116
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• 2016

의미역은 자연어 문장의 서술어와 관련된 논항의 역할을 설명하는 것으로, 주어진 서술어에 대한 논항 인식(Argument Identification) 및 분류(Argument Labeling)의 과정을 거쳐 의미역 결정(Semantic Role Labeling)이 이루어진다. 이를 위해서는 격틀 사전을 이용한 방법이나 말뭉치를 이용한 지도 학습(Supervised Learning) 방법이 주를 이루고 있다. 이때, 격틀 사전 또는 의미역 주석 정보가 부착된 말뭉치를 구축하는 것은 필수적이지만, 이러한 노력을 최소화하기 위해 본 논문에서는 비모수적 베이지안 모델(Nonparametric Bayesian Model)을 기반으로 서술어에 가능한 의미역을 추론하는 비지도 학습(Unsupervised Learning)을 수행한다.

• 의학교육논단
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• 제18권2호
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• pp.47-50
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• 2016

Development of artificial intelligence is expected to revolutionize today's medicine. In fact, medicine was one of the areas to which advances in artificial intelligence technology were first applied. Recently, state-of-the-art artificial intelligence, especially deep learning technology, has been actively utilized to treat cancer patients and analyze medical image data. Application of artificial intelligence has the potential to fundamentally change various aspects of medicine, including the role of human doctors, the clinical decision-making process, and even overall healthcare systems. Facing such fundamental changes is unavoidable, and we need to prepare to effectively integrate artificial intelligence into our medical system. We should re-define the role of human doctors, and accordingly, medical education should also be altered. In this article, we will discuss the current status of artificial intelligence in medicine and how we can prepare for such changes.