• Title/Summary/Keyword: Learning goal

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A Case Study of Successful Strategy for Self-Directed Learning Center of Educational Service Franchise - Focusing on the Case of Learning Center of Daekyo Noonnoppi - (교육 서비스 프랜차이즈의 자기주도 학습관 사업화 사례연구 - 대교 눈높이 러닝센터 사례를 중심으로 -)

  • Yoo, Dong-Keun;Hong, Jong-Pil;Hwang, Jae-Kwang
    • The Korean Journal of Franchise Management
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    • v.5 no.1
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    • pp.49-64
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    • 2014
  • The purpose of this work is to analyze successful business strategy of Daekyo Noonnoppi. Daekyo Noonnoppi, a franchise company of educational service, activated education business by establishing new way of providing education opportunity: self-directed learning center. They introduced not only the concept of learning center but also sustainable business strategies, which leads to remarkable success in the education business field. Daekyo Noonnoppi deployed three managerial concepts for study achievement: goal management, study management, and environment management. This Franchise company has three advantages of its success: Goal, Study and environment management: First, the goal management helps students to develop self-directed attitudes by making(appropriate) atmosphere which is able to build study goal and plan. In addition, this company provides information to their students to searches ways of study through the test reflecting their tendency. Furthermore, this company offers a variety of events for motivating study. Second, study management is helpful for students to develop holistic fundamental knowledge through its textbooks of this company and provides solutions and time management for study through 1 on 1 study advice. Third, environment management is used to making atmosphere to develop self-directed learning way for its students and provides spaces for students equipped with multimedia systems and cyber learning infrastructures.

A Structural Model of Management Goal Orientations and Preferred Goal Achievement Index in one Hospital Employees (한 종합병원 구성원의 경영목표 지향성의 구조적 모형과 선호 경영성과지표)

  • Park, Jae-Sung
    • Health Policy and Management
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    • v.17 no.1
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    • pp.50-74
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    • 2007
  • The purpose of this study was to identify a determent of mastery approach goal and performance approach goal using a basic concept of goal orientations and goal setting theory, and to evaluate a preference of goal achievement index as a balance score card (BSC). The study model proposed had a adoptable level of goodness of fit index(.94) and root mean square residual(.08). The meditating variable, goal contribution, totally mediated the impact of goal commitment, Y-theory human behavior, and self-efficacy but organizational resource contribution for pursuing goal orientation. Moreover, goal contribution significantly determined mastery approach goal(p<.01) and performance approach goal(.05). In standardized effects, the most powerful antecedent of mastery approach goal and performance approach goal were in order of organizational resource contribution(.27/.28), goal contribution(.21/.17), self-efficacy(.07/.06), and Y -theory human behavior and goal commitment(.05/.05), respectively. Moreover, goal contribution had a more powerful impact on mastery approach goal(.21) rather than performance approach goal(.17). In the preference of BSC, all job types preferred learning and growth index in first. In the second preference, medical doctors and pharmacists chose financial results, nurses customer service, and office managers internal processes. Each job type reflected its' own preferred BSC index to that of the other job types. In comparing a preference of four BSC index of each own job type, it was statistically different at p<.001. In conclusion, one who emphasize organizational goal contribution in pursuing goal orientation has a more strong orientation toward mastery approach goal rather than performance approach goal. A hospital should overcome and harmonize the different preferences of four BSC index since the differences might cause organizational conflicts among job types with having each unique professional norm.

The Influence of the Presence Perceived by Learners and Participation Motivation on Satisfaction in Distance Education (원격교육에서 성인학습자의 교육참여동기와 실재감이 학습만족도에 미치는 영향)

  • Lee, Jae-Eun;Yu, Byeong-Min;Park, Hye-Jin
    • Journal of Agricultural Extension & Community Development
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    • v.22 no.2
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    • pp.233-243
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    • 2015
  • This study is for understanding differences of satisfaction followed by learning and teaching presence perceived by learners and participation motivation on learning in a distance education. General characteristics of learner are classified as an entrance type, sex, age, new/transfer of distance university learners. Perceived presence is classified with learning presence and teaching presence. Participation motivation on learning is classified with the directivity of activity, goal, and study based on the reason of participating in classes in a distance university. And this research tried out to find the effects of learner's characteristics, perceived presence, and participation motivation on learning satisfaction. The results are as follows. First, there was no meaningful difference of general characteristic on satisfaction. It means sex, age, and entrance type did not have an effect on satisfaction. Second, with the level of presence perceived by learner, satisfaction has meaningful differences. It means that students who had higher learning presence perceived of distance university showed higher satisfaction, and so as in teaching presence perceived on satisfaction. Third, factors effecting satisfaction based on participation motivation on learning differ with types of motivation. There was no meaningful difference of the level of activity directivity study participant on satisfaction, but was a meaningful difference of goal directivity and of study directivity in participation motivation on learning satisfaction. It was the learning presence that had a significant effect on learning satisfaction of adult learning.

A case study on the application of flipped learning to nail beauty class - Focusing on the analysis of learner perception - (네일미용 수업의 플립러닝 적용 사례 연구 - 학습자 인식실태 분석 중심으로 -)

  • Seol, Hyun Jin
    • The Research Journal of the Costume Culture
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    • v.30 no.4
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    • pp.594-607
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    • 2022
  • This study is a follow-up paper on "Development of flipped learning class model for nail beauty education" published by Seol (2022). This model was conducted from March to June 2022 for 70 students taking the "Nail color design 1" course. After 15 weeks of class, a survey of the students' perceptions of flipped learning and their self-evaluation of goal achievement was conducted, which was composed of questionnaires using a 5-step Likert scale. 15 questions were designed to evaluate the students' satisfaction with their experience and class operations; 4 questions to evaluate whether the class goal had been reached through flipped learning; and 9 questions to evaluate the students' perceptions of flipped learning. As a result of applying this model to theoretical and practical nail beauty classes, it was confirmed that flipped learning helped students better understand the content and had a positive effect on learning, while the subject's educational goals were also achieved. By evaluating the students' perceptions of flipped learning, we may conclude that they experienced learning satisfaction and perceived the approach positively. Moreover, they have expressed a desire for additional flipped learning. This study is thus meaningful in confirming the procedure's effectiveness by applying the flipped classroom model to theoretical and practical subjects with a focus on the nail beauty field, and showing how it achieved students' positive perceptions and educational goals.

Multi-Agent Control Strategy using Reinforcement Leaning (강화학습을 이용한 다중 에이전트 제어 전략)

  • 이형일
    • Journal of Korea Multimedia Society
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    • v.6 no.5
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    • pp.937-944
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    • 2003
  • The most important problems in the multi-agent system are to accomplish a gnat through the efficient coordination of several agents and to prevent collision with other agents. In this paper, we propose a new control strategy for succeeding the goal of a prey pursuit problem efficiently Our control method uses reinforcement learning to control the multi-agent system and consider the distance as well as the space relationship among the agents in the state space of the prey pursuit problem.

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Stock Trading Model using Portfolio Optimization and Forecasting Stock Price Movement (포트폴리오 최적화와 주가예측을 이용한 투자 모형)

  • Park, Kanghee;Shin, Hyunjung
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.6
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    • pp.535-545
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    • 2013
  • The goal of stock investment is earning high rate or return with stability. To accomplish this goal, using a portfolio that distributes stocks with high rate of return with less variability and a stock price prediction model with high accuracy is required. In this paper, three methods are suggested to require these conditions. First of all, in portfolio re-balance part, Max-Return and Min-Risk (MRMR) model is suggested to earn the largest rate of return with stability. Secondly, Entering/Leaving Rule (E/L) is suggested to upgrade portfolio when particular stock's rate of return is low. Finally, to use outstanding stock price prediction model, a model based on Semi-Supervised Learning (SSL) which was suggested in last research was applied. The suggested methods were validated and applied on stocks which are listed in KOSPI200 from January 2007 to August 2008.

Application of the Podcasting in Korean Education -Aimed at Education for the Business School Students- (팟캐스팅의 한국어 교육 적용 사례 연구 -경영학 전공 학습자를 대상으로-)

  • Kim, Yu Mi;Park, Tong Kyu
    • Cross-Cultural Studies
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    • v.31
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    • pp.263-286
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    • 2013
  • The goal of this study is to explore the possibility of applying the podcasting in Korean education for foreign students. To achieve this goal, concepts and applicability of the podcasting is discussed. Previous studies on foreign language education are reviewed and the cases on Korean language education based on technology using mobile phones are investigated. Some of the outstanding merits of the podcasting are found to be its accessibility, mobility and variability along with its room for control by the learners. It also enables the learners to be motivated and to enhance their learning ability. In addition, the podcasting with the content-based instruction is applied for the foreign students majoring in business and its results and implications are discussed. Based on the above results of this study, more active discussions are expected on such issues as educational designs through the podcasting, related variables and the performance evaluation.

Designing a Reinforcement Learning-Based 3D Object Reconstruction Data Acquisition Simulation (강화학습 기반 3D 객체복원 데이터 획득 시뮬레이션 설계)

  • Young-Hoon Jin
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.11-16
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    • 2023
  • The technology of 3D reconstruction, primarily relying on point cloud data, is essential for digitizing objects or spaces. This paper aims to utilize reinforcement learning to achieve the acquisition of point clouds in a given environment. To accomplish this, a simulation environment is constructed using Unity, and reinforcement learning is implemented using the Unity package known as ML-Agents. The process of point cloud acquisition involves initially setting a goal and calculating a traversable path around the goal. The traversal path is segmented at regular intervals, with rewards assigned at each step. To prevent the agent from deviating from the path, rewards are increased. Additionally, rewards are granted each time the agent fixates on the goal during traversal, facilitating the learning of optimal points for point cloud acquisition at each traversal step. Experimental results demonstrate that despite the variability in traversal paths, the approach enables the acquisition of relatively accurate point clouds.

A Study of Factors Effecting on Gifted Students' Achievement : Self-determination, Learning Goal-orientation, Self-efficacy, Implicit Theory of Intelligence, and Self-regulated Learning Strategy (영재의 학업성취에 영향을 주는 심리적 요인들: 자기결정성, 학습목표지향성, 자기효능감, 지능관 및 자기조절학습전략을 중심으로)

  • Jo, Son-Mi
    • Journal of Gifted/Talented Education
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    • v.21 no.3
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    • pp.611-630
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    • 2011
  • The purpose of the study was to investigate which psychological factors influence on the gifted students' achievement. As a psychological factor, self-determination, learning goal-orientation, self-efficacy, belief of intelligence, and self-regulated learning strategy were examined. The difference in psychological factors between the gifted with high achievement and the gifted with low achievement was to explored. For the study 128 gifted students' data from second-year data of Korean Education Longitudinal Study (KELS) were selected and analyzed. The findings indicate that the predictors of gifted students' achievement are extrinsic regulation, identified regulation, mastery-approach goal, self-efficacy, elaboration, and meta-cognition factor. Especially, the factor of elaboration and identified regulation are the strongest predictors. The findings from t-test analysis indicate that the gifted with low achievement show the low level in self-determination, mastery-approach, self-efficacy, elaboration, meta-cognition, place management and seeking social assistance from teacher. Therefore the developing elaboration, one of regulation learning strategy, is essential to improve the achievement of the gifted students with low scores.

Trends in Deep-neural-network-based Dialogue Systems (심층 신경망 기반 대화처리 기술 동향)

  • Kwon, O.W.;Hong, T.G.;Huang, J.X.;Roh, Y.H.;Choi, S.K.;Kim, H.Y.;Kim, Y.K.;Lee, Y.K.
    • Electronics and Telecommunications Trends
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    • v.34 no.4
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    • pp.55-64
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    • 2019
  • In this study, we introduce trends in neural-network-based deep learning research applied to dialogue systems. Recently, end-to-end trainable goal-oriented dialogue systems using long short-term memory, sequence-to-sequence models, among others, have been studied to overcome the difficulties of domain adaptation and error recognition and recovery in traditional pipeline goal-oriented dialogue systems. In addition, some research has been conducted on applying reinforcement learning to end-to-end trainable goal-oriented dialogue systems to learn dialogue strategies that do not appear in training corpora. Recent neural network models for end-to-end trainable chit-chat systems have been improved using dialogue context as well as personal and topic information to produce a more natural human conversation. Unlike previous studies that have applied different approaches to goal-oriented dialogue systems and chit-chat systems respectively, recent studies have attempted to apply end-to-end trainable approaches based on deep neural networks in common to them. Acquiring dialogue corpora for training is now necessary. Therefore, future research will focus on easily and cheaply acquiring dialogue corpora and training with small annotated dialogue corpora and/or large raw dialogues.