• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.1015-1025
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• 2017

Bayesian personalized ranking (BPR) is a state-of-the-art recommendation system techniques for implicit feedback data. Unfortunately, there might be a loss of information because the BPR model considers only the binary transformation of implicit feedback that is non-binary data in most cases. We propose a modified BPR method using a level of confidence based on the size or strength of implicit feedback to overcome this limitation. The proposed method is useful because it still has a structure of interpretable models for underlying personalized ranking i.e., personal pairwise preferences as in the BPR and that it is capable to reflect a numerical size or the strength of implicit feedback. We propose a computation algorithm based on stochastic gradient descent for the numerical implementation of our proposal. Furthermore, we also show the usefulness of our proposed method compared to ordinary BPR via an analysis of steam video games data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.165-173
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• 2015

This study investigated the effects employee's intrinsic motivation and organizational feedback on organizational commitment and the moderating role organizational feedback on the relationship between employee's intrinsic motivation and organizational commitment in the workplace. Data were collected from 287 employees in the manufacturing firms. Results indicated that employee's intrinsic motivation had a positive effect on organizational commitment. Results also indicated that organizational feedback moderated the relationship between employee's intrinsic motivation and organizational commitment. Especially, The positive (+) relationship between employee's intrinsic motivation and organizational commitment was strengthened when organizational feedback was high than it was low. Implications for practice and directions for future research are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.2
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• pp.259-276
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• 1998

This study is to contribute to develop adaptive information systems meeting inside information needs as well as represented information needs, and dealing with every levels of users and user's preferences. Also, this study is to present a method of developing adaptive information system through developing user profile using machine teaming and decision tree, applying relevance feedback using merged vector, and applying user feedback.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.163-165
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• 1998

컴퓨터 시스템에 내재된 시각 장치는 제반 동작의 기본이 되며, 시간과 관련된 연산들에 직접적인 영향을 준다. 시작 장치는 온도나 습도와 갗은 주위 환경 요인에 의해 오차를 가지며, 보다 높은 시각 정확도를 얻기 위해서는 시작 장치를 동기시키는 알고리즘이 필요하다. 본 논문에서는 윈도우즈 시스템 시각장치의 정확도를 향상시키기 위해 동기 알고리리즘을 적용한 시각 조정 방안과, 제시된 조정 방안을 적용한 알고리즘의 실험과 결과에 대해 제시한다. 사용된 알고리즘은 피드백 제어를 사용하여, 분주된 오실레이터의 주파수를 GPS로부터의 1PPS 신호에 동기시키는 FLL로 구성하였다. 조정방안의 구현 및 실험은 Windows95상에서 실행되었다.

• Korean Journal of School Psychology
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• v.17 no.3
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• pp.287-306
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• 2020

The purpose of this study was to investigate the effect of motivation promotion on task performance. Unlike most previous studies that have used survey methods, this study examined the effects of motivation promotion on arithmetic and linguistic task performances under experimental conditions. Effort-inducing instructions and positive feedbacks were used to promote participants' motivation. Experiments 1 and 2 examined the effect of effort-inducing instructions and positive feedback on participants' autonomous selection of task difficulty when performing arithmetic and linguistic tasks. The results of the both experiments showed that the experimental group which received effort-inducing instructions and positive feedback chose more difficult task than the control group did. Experiment 3 examined whether motivation promotion enhances task performance and task persistence. The experimental group was more accurate and persistent than the control group. The results of the current study offer experimental evidence suggesting that activating intrinsic motivation through motivation promotion improves attitudes toward tasks and task performance.

• Journal of Korean Academy of Medicine & Therapy Science
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• v.10 no.2
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• pp.21-30
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• 2018

Objective: The purpose of this study was to investigate questions and instructions for internal feedback effects on functional recovery and task performance while chronic stroke patients practised task-specific training. Method: Twenty-four chronic stroke patients were randomly divided into two groups; when patients performed same tasks, one was treated using questions and the other using instructions for internal feedback Both lasted 30 minutes, 5 times a week for 8 weeks. Outcome measures included Erasmus MC Modifications to the Nottingham Sensory Assessment (EmNSA), Measurement Properties of the Motor Evaluation Scale for Upper Extremity in Stroke patients (MESUPES), Chedoke Arm and Hand Activity Inventory (CAHAI), Korean version of Modified Barthel Index (K-MBI). Results: There were no significant differences between the two groups in EmNSA and K-MBI(p>.05). But, in MESUPES and CAHAI, there was significant difference between the two groups(p<.05). Conclusion: In this study, questions for internal feedback during task-specific training are more effective in improving upper extremity motor function and task performance than instructions for internal feedback.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.349-352
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• 2007

본 논문은 계층적 공정 경쟁 유전자 알고리즘(Hierarchical Fair Competition-based Genetic Algorithms : HFCGAs)을 이용한 회전형 역 진자 시스템의 최적 2-자유도 제어기 설계를 제안한다. 비선형이며 불안정한 운동을 하는 회전형 역 진자 시스템은 회전지렛대(rotating arm) 위의 폴(pole)이 적당한 제어력이 없는 상황에서 중력에 의해 어느 한 쪽 방향으로 넘어지려고 할 때, 외부에서 회전지렛대에 힘을 가하여 회전지렛대의 특정위치와 폴의 각도를 유지시키는 시스템으로, 본 논문에서는 두 개의 피드백 제어루프를 갖는 2-자유도 제어기를 구성한다. 각각의 제어기는 PD 제어기로 구성하고, 조기수렴 문제를 내재하고 있는 기존의 유전자 알고리즘의 해결방안중 하나인 HFCGAs를 이용하여 최적의 제어기 파라미터들을 구한다. 마지막으로 실제 공정에 적용하여 설계된 제어기의 성능을 평가한다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.489-496
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• 2007

u-러닝(u-learning) 체제의 도입은, 다양한 형태의 원격교육을 지원하기 위한 교수-학습 시스템 및 모형을 요구하며, 이에 따라 유무선 인터넷을 이용한 u-러닝 시스템이 지속적으로 개발 적용되어 왔다. 하지만, 현재 운영되고 있는 대부분의 원격교육시스템은 교수자와 학습자간의 지속적인 쌍방향 상호작용 유지의 어려움, 시스템 구축을 위한 경제적 부담, 시스템 운영에 투입되는 교수자의 기술적 소양 부족 등의 문제점을 안고 있다. 이러한 문제점을 해결하기 위해서는 다음 항목에 대한 제고가 필요하다. 첫째, 효율적인 쌍방향 상호작용은 학습자 행동에 대한 지속적인 모니터링 및 피드백, 그리고 교수자의 상시 접속 상태 유지를 전제로 한다. 이는 사이버 교사(cyber tutor)를 이용하는 지능형 학습에 대한 논의로 이어진다. 둘째, 구현될 시스템은 경제성과 재사용성 측면이 고려되어야 하며, 이는 기존의 학교 현장의 인프라를 활용하는 u-러닝 개념의 학습 환경, 즉 이동성 네트워크 구조에 대한 설계가 요구된다. 셋째, 시스템의 직접적인 운영 주체인 일선 교사들의 기술적 소양을 고려할 때, 시스템 구축 및 사용상의 편리성, 학습 진행을 위한 보조적 지원 장치 등이 충분히 전제되어야 한다. 이에 본 연구에서는, 이동성과 내재성의 u-러닝 개념을 포함하고, 지능형 가상 교수자(cyber tutor)에 의한 블랜디드 학습(blended learning)을 도입하며, 사용자의 기술적, 경제적 부담의 제거가 가능한 지능형 u-러닝시스템을 개발하였다. 본 연구에 의해 개발된 시스템은 기존의 네트워크 인프라와 u-러닝의 개념을 통합하는 네트워크 구조, 원격학습을 지원하는 네트워크 화이트보드, 학습 과정의 저장과 해석을 지원하는 스크립트 인터프리터, 학습자 반응에 대한 피드백을 자동 제공할 수 있는 지능형 인터프리터로 구성되었다.

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.187-221
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• 2008

Although academic interest, the intersection of cognition, emotion, and motivation, is a primary goal of learning and mediates the effects of learning, the present learning environment is full of impeding factors which undermine learner's interests in learning situation. The purpose of this study is to examine current state of academic interests of Korean students and to identify several potential causes of developmental declines in academic interests. It has been consistently found that academic interests in various school subjects decrease with age and grade in school. Three potentially contributing factors to the observed loss of academic interests are mainly discussed: deprived autonomy, severe competition, and normative evaluation. Based on theories on interest and motivation, and empirical findings, various prescriptions are also suggested for designing an interest-based learning environment in order to trigger and enhance learner's academic interests.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.15-22
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• 2009

Computer programming language learning has an educational effect on improving the high level abilities such as a logical thinking ability and a problem solving ability as well as on understanding a computer working process through the process of programming and debugging tasks. In this study, the Flow Theory is applied for the students to have inner learning motive and continue their learning in the programming language learning. For this, we developed teaching-learning strategies applied by Flow elements, and designed to the WBI. We also applied to the actual teaching-learning field designed WBI and verified the effects on the changes in the learner's Flow level and academic achievement. The result of verification, WBI learning applied by Flow Theory is effective on improving Flow level, making the students have the learning goal and spirit of challenging, forming feedbacks. Also Flow experiences have effect on improving academic achievement(programming ability) through the positive effects on the results of the learning.