• 제목/요약/키워드: Learning needs

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온라인 글쓰기 콘텐츠가 대학생의 학습전략, 성취동기, 지식공유태도에 미치는 영향: K 대학 사례를 중심으로 (The effect of online writing contents on the learning strategy, achievement motivation, knowledge sharing attitude of college students : Focusing on the case of K University)

  • 차승봉;박혜진
    • 디지털산업정보학회논문지
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    • 제19권1호
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    • pp.1-12
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    • 2023
  • The purpose of this study was to analyze the effects of online writing contents on college students' learning strategy, achievement motivation, and knowledge sharing attitudes. Online writing contents were developed in the 4th class and operated as a extracurricular. The contents were developed in 25 minutes and included quizzes for learning activities. Changes in learning strategy, achievement motivation, and knowledge sharing attitude were analyzed for 149 students who finally completed online writing contents operated as a extracurricular. As a result of the analysis, it was found that online writing contents had a significant effect on college students' learning strategy, achievement motivation, and knowledge sharing attitude. Online contents is not limited by time and space, and since it can be used according to the learning plan, the utilization effect is attracting attention. Therefore, it is necessary to conduct various studies such as developing contents tailored to the needs of students and analyzing their effects.

게임 인공지능에 사용되는 강화학습 알고리즘 비교 (Comparison of Reinforcement Learning Algorithms used in Game AI)

  • 김덕형;정현준
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.693-696
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    • 2021
  • 강화학습에는 다양한 알고리즘이 있으며 분야에 따라 사용되는 알고리즘이 다르다. 게임 분야에서도 강화학습을 사용하여 인공지능을 개발할 때 특정 알고리즘이 사용된다. 알고리즘에 따라 학습 방식이 다르고 그로 인해 만들어지는 인공지능도 달라진다. 그러므로 개발자는 목적에 맞는 인공지능을 구현하기 위해 적절한 알고리즘을 선택해야 한다. 그러기 위해서 개발자는 알고리즘의 학습 방식과 어떤 종류의 인공지능 구현에 적용되는 것이 효율적인지 알고 있어야 한다. 따라서 이 논문에서는 게임 인공지능 구현에 사용되는 알고리즘인 SAC, PPO, POCA 세 가지 알고리즘의 학습 방식과 어떤 종류의 인공지능 구현에 적용되는 것이 효율적인지 비교한다.

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Improvement of the Convergence Rate of Deep Learning by Using Scaling Method

  • Ho, Jiacang;Kang, Dae-Ki
    • International journal of advanced smart convergence
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    • 제6권4호
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    • pp.67-72
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    • 2017
  • Deep learning neural network becomes very popular nowadays due to the reason that it can learn a very complex dataset such as the image dataset. Although deep learning neural network can produce high accuracy on the image dataset, it needs a lot of time to reach the convergence stage. To solve the issue, we have proposed a scaling method to improve the neural network to achieve the convergence stage in a shorter time than the original method. From the result, we can observe that our algorithm has higher performance than the other previous work.

협동학습법을 적용한 가정과 학습지도안 모형 개발 : 중학교 가정의 인간발달과 가족관계 영역을 중심으로 (Home Economics Lesson Plan Model Development Based on Cooperative Learning Stategy : Focusing on Human Development and Family Relations Area)

  • 김수현
    • 대한가정학회지
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    • 제36권5호
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    • pp.59-74
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    • 1998
  • Home economics lesson plan model was developed based on cooperative learning stategy focusing on human development and family relations area. The cooperative learning is an instructional strategy that meets the challenge of helping students master home economics content objectives by acquiring and practicing the social skills that are essential in life for satisfactory relationships with peers, families, coworkers, and others in society. Through cooperative learning, students can satisfy their needs for friendship, power, belongs, and fun. Practical problems were selected in human development and family relations area for middle school students assuming that home economics is critical science. Lesson plans were developed according to the practical problems, "what should we do regarding the effective communication between family members\ulcorner".ner".uot;.

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Smoothed Local PC0A by BYY data smoothing learning

  • Liu, Zhiyong;Xu, Lei
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.109.3-109
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    • 2001
  • The so-called curse of dimensionality arises when Gaussian mixture is used on high-dimensional small-sample-size data, since the number of free elements that needs to be specied in each covariance matrix of Gaussian mixture increases exponentially with the number of dimension d. In this paper, by constraining the covariance matrix in its decomposed orthonormal form we get a local PCA model so as to reduce the number of free elements needed to be specified. Moreover, to cope with the small sample size problem, we adopt BYY data smoothing learning which is a regularization over maximum likelihood learning obtained from BYY harmony learning to implement this local PCA model.

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섬유업체의 시장지향성과 학습지향성이 사업성과에 미치는 영향: 기업 혁신성에 따른 조절효과를 중심으로 (The Effects of Market Orientation and Learning Orientation on Business Performance in the Textile Firms: Focusing on Moderating Effect of Company Innovativeness)

  • 여은아;박광희;김문영
    • 한국의류산업학회지
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    • 제10권1호
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    • pp.40-49
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    • 2008
  • The purposes of this study were to investigate the effects of market orientation and learning orientation of textile firms on business performance and to confirm the moderating effect of company innovativeness on these relationships. Data collected from 167 textile firms through survey were analyzed by descriptive statistics, t-tests, and multiple causal modeling using AMOS 6.0. In results, the higher innovativeness, the stronger effect of market orientation on business performance. Also, the lower innovativeness, the stronger effect of learning orientation on business performance. Study results may suggest the needs of different focus of organization culture according to company characteristics in order to improve business performance.

교수효과성의 본질에 관한 고찰 (A Review on the Essentials of Teaching-Effectiveness)

  • 원효헌
    • 수산해양교육연구
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    • 제18권3호
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    • pp.218-228
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    • 2006
  • The purpose of this study is to review the essentials of teaching-effectiveness affecting the students' achievement. Any discussion of psychological research and theory concerned with the way teachers affect student learning must consider a variety of issues germane to this research. These issues provide a context for interpreting the research presently available and for identifying an appropriate agenda for future research.Finally, research on teacher effects needs to expand its concern for the psychological mechanisms that are responsible for student learning from instruction. Within the context of this study, that concern is probably the major challenge facing educational psychologists interested in the teaching-learning process.

사교육문제 해소를 위한 U-learning대안에 관한 고찰 (Will U-learning Replace Any private Lesson\ulcorner)

  • Kim, Jae-Won
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2003년도 추계공동학술대회
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    • pp.227-237
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    • 2003
  • U-learning stresses the ubiquitous networking environment where different sizes of U-devices, let alone the dominant PCs, comprise a background infrastructure to enhance knowledge and performance. This paper suggests a U-learning system that will provide an alternative for the hectic private lessons, particularly English training among grade-school students. Several points are suggested of the U-system to be a cost-effective alternative. Besides the corresponding advancement of U-networking, the production of a profitable business model harnessing the emerging technology is most urgent. The Government authorities should recognize the potential U-social system solutions, and take an initiative to develop them. The latest technology seems to throw a light to the upcoming social systems applied in various fields of social needs.

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심화 학습 기반 이동통신기술 연구 동향 (Research Trends of Deep Learning-based Mobile Communication Technology)

  • 권동승
    • 전자통신동향분석
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    • 제34권6호
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    • pp.71-86
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    • 2019
  • The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.

환경교육 담당자 양성 체제의 개선 (Training System of Environment Education Teacher : Problem and Prospect)

  • 최운식
    • 한국환경교육학회지:환경교육
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    • 제13권1호
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    • pp.14-22
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    • 2000
  • This attempts to find out training system of environment education teacher in Korea. The results are summarized as follows. The primary and secondary school have focused on environment education and the environment course was designated as a subject, but only 12% of the 2741 middle school chose the environment subject in 1998. The environment education course is not popular among students. The environment education is an interdisciplinary subject, which is composed of natural science, social studies, earth science, and medical science, that is why the subject is so unsystematic and complicated that appropriate teaching methods and contents for school classes are not able to be developed. Moreover, material and manuals in environment education for students and teachers are limited. While the contents of environment education is composed of field experience learning and experiment learning, but lecture-centered instruction is emphasized in school because of materials, time and experts. Over 300 environmental education teachers are annually produced, but the ratio of employment low. is, Therefore, a retraining program for environment education teacher needs to be developed.

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