• Title/Summary/Keyword: Knowledge Learning

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On Simjae Cho Eon-yu's Theory of Learning (심재(心齋) 조언유(趙彦儒)의 학문론(學問論))

  • Cho, Hoon-young
    • The Journal of Korean Philosophical History
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    • no.28
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    • pp.331-362
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    • 2010
  • Simjae defined the relationship between Learning of Classics and Learning of the Mind-and-Heart as mutually interdependent. Clarifying "righteousness and principle" lies within the purview of "knowledge" and cultivating the mind-and-heart based on such knowledge lies within the realm of "action." Learning of Classics and Learning of Controlling the Mind-and-Heart thus can be understood as relationship between knowledge and action. If Simjae's theory of knowledge and action is applied to the relationship between Learning of Classics and Learning of the Mind-and-Heart, we can derive the following conclusion. His assertion that "knowledge precedes action" indicates that classical studies to explore the principle of goodness must precede mind-and-heart studies to cultivate the mind. In fact, only when we know what is the right principle can we cultivate our mind based on that principle. However, Simjae attached importance to action in terms of its significance. This means that the Learning of the Mind-and-Heart is "eventually more important" than the Learning of Classics which explores the principle of goodness. Thus, when linked to his theory on knowledge and action, Simjae 's philosophy founded on the twin pillars of classical studies and mind-and-heart studies can be summarized: "One must first delve into the principle of goodness through Confucian classical studies and then rectify one's mind based on knowledge thus gained."

Applying the Multiple Cue Probability Learning to Consumer Learning

  • Ahn, Sowon;Kim, Juyoung;Ha, Young-Won
    • Asia Marketing Journal
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    • v.15 no.3
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    • pp.159-172
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    • 2013
  • In the present study, we apply the multiple cue probability learning (MCPL) paradigm to examine consumer learning from feedback in repeated trials. This paradigm is useful in investigating consumer learning, especially learning the relationships between the overall quality and attributes. With this paradigm, we can analyze what people learn from repeated trials by using the lens model, i.e., whether it is knowledge or consistency. In addition to introducing this paradigm, we aim to demonstrate that knowledge people gain from repeated trials with feedback is robust enough to weaken one of the most often examined contextual effects, the asymmetric dominance effect. The experiment consists of learning session and a choice task and stimuli are sport rafting boats with motor engines. During the learning session, the participants are shown an option with three attributes and are asked to evaluate its overall quality and type in a number between 0 and 100. Then an expert's evaluation, a number between 0 and 100, is provided as feedback. This trial is repeated fifteen times with different sets of attributes, which comprises one learning session. Depending on the conditions, the participants do one (low) or three (high) learning sessions or do not go through any learning session (no learning). After learning session, the participants then are provided with either a core or an extended choice set to make a choice to examine if learning from feedback would weaken the asymmetric dominance effect. The experiment uses a between-subjects experimental design (2 × 3; core set vs. extended set; no vs. low vs. high learning). The results show that the participants evaluate the overall qualities more accurately with learning. They learn the true trade-off rule between attributes (increase in knowledge) and become more consistent in their evaluations. Regarding the choice task, there is a significant decrease in the percentage of choosing the target option in the extended sets with learning, which clearly demonstrates that learning decreases the magnitude of the asymmetric dominance effect. However, these results are significant only when no learning condition is compared either to low or high learning condition. There is no significant result between low and high learning conditions, which may be due to fatigue or reflect the characteristics of learning curve. The present study introduces the MCPL paradigm in examining consumer learning and demonstrates that learning from feedback increases both knowledge and consistency and weakens the asymmetric dominance effect. The latter result may suggest that the previous demonstrations of the asymmetric dominance effect are somewhat exaggerated. In a single choice setting, people do not have enough information or experience about the stimuli, which may lead them to depend mostly on the contextual structure among options. In the future, more realistic stimuli and real experts' judgments can be used to increase the external validity of study results. In addition, consumers often learn through repeated choices in real consumer settings. Therefore, what consumers learn from feedback in repeated choices would be an interesting topic to investigate.

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Development of a Adaptive Knowledge Base Object Model for Intelligent Tutoring System (지능형 교육 시스템을 위한 적응적 지식베이스 객체 모형 개발)

  • Kim Yong-Beom;Kim Yung-Sik
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.421-428
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    • 2006
  • Intelligent Tutoring System(ITS), which offers individualized learning environment that consider many learners' variable, is realized by the effective alternative to take the place of domain expert. Accordingly, research on Learning Companion System(LC) is currently noticing. However, to develop LCS which applies effective interaction, it is necessary to combine several LCs, and personalized knowledge base have to be made first. Therefore, in this paper, we propose the 'Knowledge Base Object Medel', which is based on connectionist' in cognition structure, represents learner's knowledge to self-learnig object, and grows adaptive object by proprietor, verify the validity. This model lays the groundwork for design of personalized knowledge base, offers clue to development of adaptive ITS using knowledge base object.

Organizational Learning for Innovation Performance of Ventures: The Mediating Role of Entrepreneurial Orientation (벤처기업의 조직학습과 혁신성과: 기업가적 지향성의 매개역할)

  • Ribin Seo;Ji-Hoon Park
    • Knowledge Management Research
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    • v.24 no.2
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    • pp.1-25
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    • 2023
  • While organizational learning (OL) is vital for ventures to build knowledge bases necessary for successful innovation, less attention has been paid to how learning organizations leverage it for performance improvement. We investigate entrepreneurial orientation's (EO) role in performance-by-learning mechanisms underpinning ventures' innovative initiatives, adopting dyadic performance indicators: technological competitiveness and business performance. Analyzing 218 Korean ventures, our study shows that firms valuing OL, characterized by acquisitive and experimental learning, exhibit high EO, facilitating productive use of knowledge-based resources and enhancing performance. Importantly, EO fully mediates the performance implications of OL. Our findings suggest that a comprehensive learning approach for knowledge acquisition and experimentation provides ventures, often facing smallness and newness liabilities, with a fertile entrepreneurial ground for increased innovation returns.

A Collaborative Knowledge Management in Wiki-based Project Learning (위키기반 프로젝트학습에서의 협력 지식 관리의 고찰)

  • Lee, Jin-Tae;Han, Seon-Kwan
    • Journal of The Korean Association of Information Education
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    • v.15 no.4
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    • pp.525-531
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    • 2011
  • This study is about the system for knowledge management in the Wiki-based project learning. We implement the Wiki-based project learning system which is focused on a new Web paradigm and technology development to grasp the knowledge flow of a learner effectively under a project learning condition. Implementation of the system has used a Web 2.0 technology to easily understand SECI Knowledge Management types which form the Externalization, Combination and Internalization steps. Moreover, the system structure has been designed instinctively for harmonious knowledge use or reuse. As a result of the experiment, we found out that the collaborative knowledge steps moved along the flow of project learning.

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Effects of Cooperative Learning Methods on Sex Education among Primary School Students (협동학습이 일부 초등학생의 성교육에 미치는 효과)

  • Ryu, Jung-Eun;Kim, Yun-Shin;Kim, Hyeon-Suk
    • Journal of the Korean Society of School Health
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    • v.25 no.1
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    • pp.122-132
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    • 2012
  • Purpose: The purpose of this study is to determine the effectiveness of cooperative learner-centered methods of sex education. Methods: This study was carried out on 5th grade elementary school students in D-district. Nine classes were divided into 3 groups using each different teaching methods: group A (a cooperative learning), group B (a lecture) and group C (a control group for a comparison). The study period was from Oct. 17 to Dec. 2 in 2011. Both groups A and B received sex education lessons for 40 minutes for 4 weeks and were tested their sex knowledge and attitude to compare the differences. Results: The scores of sex knowledge for all three groups were increased and their sex attitude was increased as well. The points of sex knowledge between pre and post test in group A are greater than the group B's. Thus, the cooperative learning approach with Group A was more effective to improve student's sex knowledge. But the difference between the sex attitude scores was not statistically significant. Group A and B showed a positive improvement in both their sex knowledge and attitudes compared with the control group. Conclusion: This experiment shows that an active teaching methods is more effective to improve student sex knowledge than a passive approach. Thus, a cooperative learning method results in increases of both student's sex knowledge and interests in learning sex education. It needs to develop more diverse teaching methods and programs on sex education that are more systematic and tailored.

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Knowledge and Learning Needs Related to Coronary Artery Disease in Diabetic Patient by Glycemic Control (당뇨병 환자의 혈당조절 정도에 따른 관상동맥질환 관련 지식과 교육요구도 조사)

  • Song, Min Sun;Kim, Hee Seung;Oh, Jung Ah
    • Korean Journal of Adult Nursing
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    • v.19 no.5
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    • pp.27-36
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    • 2007
  • Purpose: The purpose of this study was to investigate the knowledge and learning needs on coronary artery disease in diabetic patients by glycemic control. Methods: The subjects consisted of 188 patients at the hospital who had diabetes mellitus. Data was obtained using a knowledge and learning needs questionnaire from January to April 2006. Results: Treatment method, the levels of fasting blood glucose(FBG), and 2-hour postprandial blood glucose(PP2hr) showed meaningful differences between normo-glycemic group(HbA1c < 7%) and hyper-glycemic group($HbA1c{\geq}7%$). The levels of knowledge on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. Etiology and prevention of coronary artery disease were significantly higher in normo-glycemic group than in hyper-glycemic group. The levels of learning needs on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. The learning needs on items of diet control were higher in normo-glycemic group than in hyper-glycemic group. Conclusion: On the base of these results, we should focus on the coronary artery disease education for hyper-glycemic group. Also individual coronary artery disease educational program should be developed for the patients with different level of knowledge and learning needs.

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Process Chain-Based Information Systems Development and Agent-Based Microworld Simulation As Enablers of the Learning & Agile Organization (학습, 민활 조직 실현을 위한 프로세스 사슬 기반 정보시스템 개발과 에이전트 기반 소세계 시뮬레이션)

  • Park, Kwang-Ho
    • Asia pacific journal of information systems
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    • v.9 no.3
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    • pp.177-194
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    • 1999
  • Identifying knowledge as the single most important asset ultimately defining organizational competitiveness, enterprises are trying to move towards knowledge-oriented practices. Such practices have given rise to learning and agile organization, This paper presents applied information technologies to realize the learning and agile organization, focusing on systems thinking. Firstly, in order to establish a framework for the systems thinking, an information systems development method based on process chain is proposed. Then, an agent-based microworld simulation approach is presented. The approaches provide visible and analytical information to knowledge workers so that they can have systems thinking capabilities eventually. Various microworlds on the top of the information system can be constructed with agents and simulated for possible business events. All decision makings are dynamic in nature. To let knowledge workers look ahead the possible outcomes of the whole relevant processes is the core capability of the approaches. Through watching, the knowledge workers would be able to acquire new insights or problem solving knowledge for the problem in hand.

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Interactive Human Intention Reading by Learning Hierarchical Behavior Knowledge Networks for Human-Robot Interaction

  • Han, Ji-Hyeong;Choi, Seung-Hwan;Kim, Jong-Hwan
    • ETRI Journal
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    • v.38 no.6
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    • pp.1229-1239
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    • 2016
  • For efficient interaction between humans and robots, robots should be able to understand the meaning and intention of human behaviors as well as recognize them. This paper proposes an interactive human intention reading method in which a robot develops its own knowledge about the human intention for an object. A robot needs to understand different human behavior structures for different objects. To this end, this paper proposes a hierarchical behavior knowledge network that consists of behavior nodes and directional edges between them. In addition, a human intention reading algorithm that incorporates reinforcement learning is proposed to interactively learn the hierarchical behavior knowledge networks based on context information and human feedback through human behaviors. The effectiveness of the proposed method is demonstrated through play-based experiments between a human and a virtual teddy bear robot with two virtual objects. Experiments with multiple participants are also conducted.

Acquisition and Refinement of State Dependent FMS Scheduling Knowledge Using Neural Network and Inductive Learning (인공신경망과 귀납학습을 이용한 상태 의존적 유연생산시스템 스케쥴링 지식의 획득과 정제)

  • 김창욱;민형식;이영해
    • Journal of Intelligence and Information Systems
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    • v.2 no.2
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    • pp.69-83
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    • 1996
  • The objective of this research is to develop a knowledge acquisition and refinement method for a multi-objective and multi-decision FMS scheduling problem. A competitive neural network and an inductive learning algorithm are integrated to extract and refine necessary scheduling knowledge from simulation outputs. The obtained scheduling knowledge can assist the FMS operator in real-time to decide multiple decisions simultaneously, while maximally meeting multiple objective desired by the FMS operator. The acquired scheduling knowledge for an FMS scheduling problem is tested by comparing the desired and the simulated values of the multiple objectives. The result show that the knowledge acquisition and refinement method is effective for the multi-objective and multi-decision FMS scheduling problems.

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