• 대한물리의학회지
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• 제16권4호
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• pp.125-137
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• 2021

PURPOSE: The growing number of people exposed to a static sitting posture has resulted in an increase in people with a poor posture out of the optimally aligned posture because of the low awareness of a correct sitting posture. Learning the correct sitting posture by applying sensory feedback is essential because a poor posture has negative consequences for the spine. Therefore, this study examined the effects of the sensory feedback types on learning correct sitting posture. METHODS: Thirty-six healthy adult males were assigned to a visual feedback group, a tactile feedback group, and a visuotactile feedback group to learn the correct sitting posture by applying sensory feedback. The spine angle, muscle activity, and muscle thickness were measured in the sitting position using retro-reflexive markers, electromyography, and ultrasound immediately after, five minutes, and 10 minutes after intervention. RESULTS: The intervention time was significantly shorter in the visuotactile feedback group than the visual feedback group (p < .05). Compared to the pre-intervention, the repositioning error angles of the thoracic and lumbar vertebrae of all groups were reduced significantly immediately after intervention and after five minutes. After 10 minutes, there was a significant difference in the thoracic and lumbar repositioning error angles of the tactile feedback group and the visuotactile feedback group (p < .05). No significant difference was noted at any time compared to the pre-intervention in all groups (p > .05). CONCLUSION: The use of tactile and visuotactile feedback in intervention to correct the sitting posture is proposed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.699-701
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• 2004

This paper proposes the algorithm of servo- writing based on feedback error learning neural networks. The controller consists of feedback controller using PID and feedforward controller using gaussian radial basis function network. Because the RBFNs are trained by on-line rule, the controller has adaptation capability. The performance of the proposed controller is compared to that of conventional PID controller. Proposed algorithm shows better performance than PID controller.

• 인지과학
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• 제28권1호
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• pp.65-90
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• 2017

본 연구의 목적은 학습상황에서 피드백으로 주어지는 금전적 획득/손실(학습 피드백)과 비학습적 상황에서 우연히 제시되는 의사 피드백(무선 피드백)을 비교하는 방법을 사용하여, 금전적 보상과 처벌의 학습 피드백으로서만 가지는 정보처리에 어느 두뇌 영역이 관여하는지를 규명하는 데 있다. 이를 위해 정상 성인(n = 22)을 대상으로 fMRI scan 동안 단서 자극에 대한 범주 버튼 반응(좌/우)의 정확 여부에 따라 피드백이 제시되는 시행(학습시행)과 단서 자극의 위치판단 반응과 무관하게 피드백이 제시되는 시행(무선시행)을 사건 관련 fMRI 방략으로 제시하였다. 두 시행 간 보상과 처벌과 같은 동기적 사건에 대한 두뇌 반응이 변별적으로 나타나는지를 알아보기 위해 시행 유형(학습 vs. 무선)과 피드백 유형(보상 vs, 처벌)을 두 독립변인으로 한 반복측정 이원분산분석을 하였다(voxel-wise FWE p < .001). 그 결과, 좌측 배외측 전두피질(dorsolateral prefrontal cortex), 좌측 전측 도(anterior insular), 배내측 전두피질(dorsomedial prefrontal cortex) 등의 영역에서 유의한 상호작용 효과가 관찰되었는데, 이들 영역은 모두 학습-보상 피드백 및 무선-처벌 피드백보다 학습-처벌 피드백에 대해 증가한 두뇌 활성을 보였다. 본 연구 결과는 학습상황에서 주어지는 처벌 피드백에 대한 기존 전략의 변경이나 재평가를 위한 집행적 처리, 적절하지 못하거나 틀린 행동에 대한 오류처리 과정 그리고 실패 경험에 대한 부정적 정서처리가 위에서 언급한 피질신경망을 중심으로 이루어질 가능성을 보여준다. 따라서 학습의 처벌 피드백은 보상과 달리 위와 같은 추가적 정보처리 과정이 존재할 가능성을 시사한다.

• 한국학교수학회논문집
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• 제10권1호
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• pp.71-89
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• 2007

본 연구는 피드백 집단(과제 평가 결과에 따른 교정 피드백 집단 I, 단계 분기의 피드백학습 집단 II)과 일반학습 집단(집단 III)간의 수학 성취도와 수학에 대한 태도의 변화를 조사하였다. 수학 성취도에서, 피드백 집단(집단 I, 집단 II)은 일반학습 집단(집단 III)보다 향상을 보였으나(p<.05), 집단 I과 집단 II간에는 유의한 차이가 없었다 (p>.05). 그리고 하 수준에서 피드백 집단(집단 I, 집단 II)과 일반학습 집단(집단 III)간에는 유의한 차이가 있었지만(p<.05), 상 수준에서 피드백 집단(집단 I, 집단 II)과 일반학습 집단(집단 III)간에는 유의한 차이가 없었다(p>.05). 수학에 대한 태도에서, 피드백학습 집단(집단 I, 집단 II)은 일반학습 집단(집단 III)보다 향상을 보였으나(p<.05), 집단 I과 집단 II간에는 유의한 차이가 없었다(p>.05). 수학 성취수준(상 하위수준)에 따라서는, 집단 I과 집단 II간에는 유의한 차이가 없었지만(p>.05), 피드백 집단(집단 I, 집단 II)과 일반학습 집단(집단 III)간에는 유의한 차이가 있었다(p<.05).

• 한국간호교육학회지
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• 제20권4호
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• pp.577-586
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• 2014

Purpose: This study investigates patterns of small group interaction and examines the influence among graduate nursing students of online collaborative learning strategies on small group interaction patterns, task performance and learning attitude in web-based team learning environments. Method: To analyze patterns of small group interaction, group discussion dialogues were reviewed by two instructors. Groups were divided into two categories depending on the type of feedback given (passive or active). For task performance, evaluation of learning processes and numbers of postings were examined. Learning attitude toward group study and coursework were measured via scales. Results: Explorative interactions were still low among graduate nursing students. Among the students given active feedback, considerable individual variability in interaction frequency was revealed and some students did not show any specific type of interaction pattern. Whether given active or passive feedback, groups exhibited no significant differences in terms of task performance and learning attitude. Also, frequent group interaction was significantly related to greater task performance. Conclusion: Active feedback strategies should be modified to improve task performance and learning attitude among graduate nursing students.

• 한국멀티미디어학회논문지
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• 제21권11호
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• pp.1353-1361
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• 2018

With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.

• 공학교육연구
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• 제20권3호
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• pp.42-49
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• 2017

This study is about the influence of recording reflective journals and receiving feedback from professors on academic achievements in technical writing. We analyzed the differences between the test group who had recorded reflective journals and getting feedback, and the control group who had gotten feedback without reflective journals. And we compared academic achievements by conducting both professor evaluation and peer evaluation in technical writing. The results showed better learning effect, learning satisfaction and academic achievements in the test group than the other.

• International Journal of Control, Automation, and Systems
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• 제6권2호
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• pp.269-277
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• 2008

This paper proposes a necessary and sufficient condition of convergence in the $L_2$-norm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance condition in the feedback control theory, respectively. Moreover, no additional effort is required to design an iterative learning controller because the performance weighting matrix is used as an iterative learning controller. By proving that the least upper bound of the $L_2$-norm of the remaining tracking error is less than that of the initial tracking error, this paper shows that the iterative learning controller combined with the feedback controller is more effective to reduce the tracking error than only the feedback controller. The validity of the proposed method is verified through computer simulations.

• Asian Journal of Innovation and Policy
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• 제1권1호
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• pp.92-115
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• 2012

The problem Japanese universities face is exactly the same as that of German universities: no international recognition in world rankings of universities despite their high levels of postwar economic and technological developments. This was indeed one reason why world-class Japanese firms, such as Toyota and Sony, have avoided working closely with Japanese universities for R&D partnership and new technology commercialization. To resolve this problem, the Japanese government has continuously implemented aggressive policies of the internationalization, privatization, liberalization, and privatization of universities since the onset of the economic recession in 1989 in order to revitalize the Japanese economy through radical innovation projects between universities and firms. National projects of developing medical robots for Japan's ageing society are some of the ambitious examples that emphasize feed-forward learning in innovation. However, this paper argues that none of these programs of fostering university-firm alliances toward feed-forward learning has been successful in promoting the world ranking of Japanese universities, although they showed potentials of reinforcing their conventional strength of introducing $kaizen$ through feedback learning of tacit knowledge. It is therefore argued in this paper that Japanese universities and firms should focus on feedback learning as a way to motivate firm-university R&D alliances.

• 한국컴퓨터정보학회논문지
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• 제22권8호
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• pp.101-106
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• 2017

In this paper, we propose a new teaching-learning model with two-step feedback on programming language learning, which is a basic preliminary learning for programming. Programming learning is aimed at improving problem solving skills and thinking by experiencing problem solving through programming. For programming, the learner must know how to work with the computer and what to do with it. To do this, concrete thinking should be established and described in an accurate programming language. In recent, most studies have focused on the effects of programming learning and have not studied the effects of education on language itself. Therefore, in this study, the teaching-learning model for programming language education is presented and applied to the field, and the results are compared with the existing instructional-teaching model.