• Educational Technology International
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• 제20권1호
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• pp.57-81
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• 2019

This study aimed to investigate effects of peer feedback types and feedback acceptance levels on academic achievement in project-based learning. The participants were 70 middle-school students taking an English course. They were divided into corrective and suggestive feedback groups. These participants were asked to create user-created content (UCC) as an individual task and provide peer feedback on a peer's UCC in the same type of feedback group. Results showed that there were significant differences in academic achievement according to peer feedback types (corrective vs. suggestive) and feedback acceptance levels (high vs. low). In particular, the suggestive peer feedback group had higher academic achievement than the corrective peer feedback group. Moreover, the group with a high level of feedback acceptance gained higher academic achievement than the group with a low level of feedback acceptance. Moreover, there was an interaction effect between peer feedback types and feedback acceptance on academic achievement. These results indicate that peer feedback types and feedback acceptance should be considered for effective peer feedback activity. These findings provide practical implications for the design and implementation of peer feedback activity in project-based learning.

• 한국통신학회논문지
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• 제27권6B호
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• pp.625-637
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• 2002

This study extends the modified linear feedback equalizer (MLFE), normally used for differentially coherent DPSK systems, to the equalization of double differentially coherent PSK (DDPSK) signals. By feeding back into the feedback part after modifying the equalizer output using decision feedback-based demodulation, the proposed equalizer can operate like an equalizer with a decision feedback structure. Simulation results showthat performances of the decision feedback demodulation-based feedback equalizer (DFD-FE) approach those of the DFE/coherent.

• Educational Technology International
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• 제24권2호
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• pp.237-262
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• 2023

This study focuses on the instructor's role in student-centered learning and aims to test the effects and moderating role of instructor feedback on perceived loafing in team project-based learning. A conditional effect model including team efficacy, perceived loafing, instructor feedback, and team performance was proposed. Data were collected from students who registered for team project-based learning courses at a university in South Korea. A total of 420 cases were subjected to moderated mediation analysis. The results demonstrated that instructor feedback was negatively related to perceived loafing and moderated the relationship between team efficacy and perceived loafing. Furthermore, instructor feedback moderated the relationship between perceived loafing and team performance. In particular, even when perceived loafing was high, students who received frequent instructor feedback were found to significantly reduce the damage to team performance. Based on these findings, the importance of instructors' facilitation in team project-based learning is discussed.

• 정보관리학회지
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• 제21권4호
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• pp.133-152
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• 2004

정보시대의 도래로 정보량은 기하급수적으로 증가하게 되었고, 이러한 대량의 정보로부터 이용자 개개인에게 적합한 정보를 적시에 제공할 수 있는 방법으로 SDI 서비스가 연구${\cdot}$개발되어 왔지만, 현실적으로 그 활용도는 매우 낮은 것으로 조사되었다. 이에 본 논문에서는 그 원인을 분석하고 SDI 시스템의 성능을 개선시킬 수 있는 적합성 피드백 기반 SDI 시스템을 개발하고자 하였다. 본 연구의 실험을 위해 개발된 실험시스템은 이용자 최소개입 피드백기반 SDI 시스템, 완전자동 피드백기반 SDI 시스템, 그리고 이용자 최대개입 피드백 기반 SDI 시스템이며, 새로 개발된 3개 시스템의 성능 개선정도를 평가하기 위해 네 번째 시스템으로서 전통적인 SDI 서비스에서 사용하고 있는 방법으로 시스템을 개발하였다. 실험결과 이용자 최대개입 피드백 기반 SDI 시스템이 가장 높은 성능을 보여 주었고, 완전자동 피드백 기반, 이용자 최소개입 피드백기반, 전통적 SDI 시스템 순으로 나타났으며, 피드백기반 시스템들은 피드백이 진행될수록 그 성능이 향상되는 것으로 나타났다.

• 대한인간공학회지
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• 제31권4호
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• pp.551-556
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• 2012

Objective: This study presents the effect of visual feedback on one-hand gesture performance in vision-based gesture recognition system when people use gestures to control a screen device remotely. Backgroud: gesture interaction receives growing attention because it uses advanced sensor technology and it allows users natural interaction using their own body motion. In generating motion, visual feedback has been to considered critical factor affect speed and accuracy. Method: three types of visual feedback(arrow, star, and animation) were selected and 20 gestures were listed. 12 participants perform each 20 gestures while given 3 types of visual feedback in turn. Results: People made longer hand trace and take longer time to make a gesture when they were given arrow shape feedback than star-shape feedback. The animation type feedback was most preferred. Conclusion: The type of visual feedback showed statistically significant effect on the length of hand trace, elapsed time, and speed of motion in performing a gesture. Application: This study could be applied to any device that needs visual feedback for device control. A big feedback generate shorter length of motion trace, less time, faster than smaller one when people performs gestures to control a device. So the big size of visual feedback would be recommended for a situation requiring fast actions. On the other hand, the smaller visual feedback would be recommended for a situation requiring elaborated actions.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.1118-1134
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• 2023

Previous research has shown that employees tend to react more positively to corrective feedback from supervisors to the extent they perceive that they were treated with empathy, respect, and concern towards fair interpersonal treatment in receiving the feedback information. Then, to facilitate effective supervisory feedback and coaching, it would be useful for organizations to monitor the contents of feedback exchanges between supervisors and employees to make sure that supervisors are providing performance feedback using languages that are more likely to be perceived as interpersonally fair. Computer-aided text analysis holds potential as a useful tool that organizations can use to efficiently monitor the quality of the feedback messages that supervisors provide to their employees. In the current study, we applied computer-aided text analysis (using closed-vocabulary text analysis) and machine learning to examine the validity of language-based algorithms trained on supervisor language in performance feedback situations for predicting human ratings of feedback interpersonal fairness. Results showed that language-based algorithms predicted feedback interpersonal fairness with reasonable level of accuracy. Our findings provide supportive evidence for the promise of using employee language data for managing (and improving) performance management in organizations.

• 한국안전학회지
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• 제33권4호
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• pp.72-77
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• 2018

There are various approaches to prevent industrial accidents, of which the focus on human factors is behavior based safety(BBS). The BBS provides positive feedback on safety behavior and corrective feedback on unsafe behavior. Determining the feedback ratio of positive and correct feedback is an important issue in BBS. The purpose of this study was to examine the effects of positive and corrective feedback ratio on safety performance and feedback acceptance. The participants of this study were sixty undergraduate and graduate students at C University in Seoul, Korea. Participants were asked to work on a simulated welding task. The independent variable of was different positive vs. corrective feedback ratio (1:1 and 1:4). The dependent variables were the amount and the number of correctly completed work tasks, compliance rate of safety behavior, and feedback acceptance. The experimental design of this study was 2 x 2 mixed design. The results showed that feedback, regardless of the ratio, increased both correctly completed work tasks and the compliance rate of safety behavior, while 1:1 positive vs. corrective feedback ratio was more effective than 1:4 ratio. In addition, 1:1 ratio produced higher level of feedback acceptance compared to 1:4 ratio.

• 인터넷정보학회논문지
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• 제1권2호
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• pp.89-96
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• 2000

영상의 유사성에 대한 사용자의 주관적인지를 학습하는 방법으로 relevance feedback 기술이 사용되며, 최근 들어 이에 대한 관심이 높아지고 있다. 대부분의 relevance feedback기술은 영상 유사성을 측정하는데 사용되는 특징이 서로 독립적이라는 가정하고 있으나, 이러한 가정은 유사성 판단을 모델링 하는데 있어서 상당한 제약을 두는 것이다. 이 논문에서는. 퍼지 측정과 Choquet 적분을 이용하여, 유사성 판단에 대한 보다 나은 모델링 방법을 제안하고, 이를 이용한 relevance feedback 알고리즘을 제안한다. 실험결과를 통하여, 기존의 가중치 평균 방식에 의한 relevance feedback보다 제안된 방식이 우수함을 보인다.

• 한국경영과학회지
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• 제36권1호
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• pp.57-68
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• 2011

This paper examines how multiple performance feedbacks influence firm's technological search, using two types of indicators : accounting-based performance and market-based performance. Also we investigate how CEO's attention shift depends on firm specific factors such as firm size and outsider ownership. For empirical analysis, we utilized financial data on 675 manufacturing firms in Korea during the period between 1998 and 2009. The results show that technological search based on accounting-based performance feedback is moderated by focal firm's size. However, as outsider ownership increases, technological search increases in response to market-based performance feedback.

• 한국산업융합학회 논문집
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• 제18권2호
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• pp.90-98
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• 2015

This research propose with image-based visual a new approach to design a feedback control of mobile robot. because mobile robot must be recharged periodically, it is necessary to detect and move to docking station. Generally, laser scanner is used for detect of position of docking station. CCD Camera is also used for this purpose. In case of using camera, the position-based visual servoing method is widely used. But position-based visual servoing method requires the accurate calibration and it is hard and complex work. Another method using cameras is inmage-based visual feedback. Recently, image based visual feedback is widely used for robotic application. But it has a problem that cannot have linear trajectory in the 3-dimensional space. Because of this weak point, image-based visual servoing has a limit for real application. in case of 2-dimensional movement on the plane, it has also similar problem. In order to solve this problem, we point out the main reason of the problem of the resolved rate control method that has been generally used in the image-based visual servoing and we propose an image-based visual feedback method that can reduce the curved trajectory of mobile robot in th cartesian space.