• The Mathematical Education
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• v.61 no.2
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• pp.239-256
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• 2022

This study was to investigate the perception, performance, and difficulties of process-based assessment for high school mathematics teachers. As a qualitative case study, two in-depth group interviews were conducted with 6 high school mathematics teachers working in Incheon area. The two groups were one with more experience in process-based assessment and the other with less experience. As results, there were differences between the participant teachers' perception of process-based assessment and their actual performance depending on the experience. All six math teachers thought that the process-based assessment was intended to confirm the learner's characteristics, to evaluate the process, and to provide feedback on a regular basis immediately and individually. However, in the practical performance shared by teachers, the purpose of assessment was to create a school record. A group with a lot of experience prepared assessment criteria according to the national curriculum achievement standards, established affective assessment plans, and tried to provide individual feedback on a regular basis. On the other hand, the inexperienced group recorded the affective characteristics discovered by chance and provided temporary and large-scale feedback regardless of the achievement criteria. Finally, we suggested some implications based on the study results.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.273-277
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• 2003

A general process of electronic assembly is composed of a series of geometric alignments and bonding/screwing processes. After assembly, the function is tested in a following process of inspection. However, assembly of micro-optic devices requires both processes to be performed in equipment. Coarse geometric alignment is made by using vision and optical function is improved by the following fine motion based on feedback of tunable laser interferometer. The general system is composed of a precision robot system for 3D assembly, a 3D vision guided system for geometric alignment and an optical feedback system with a tunable laser. In this study, we propose a new fast alignment algorithm of micro-optic devices for both of visual and optical alignments. The main goal is to find a fastest alignment process and algorithms with state-of-the-art technology. We propose a new approach with an optimal sequence of processes, a visual alignment algorithm and a search algorithm for an optimal optical alignment. A system is designed to show the effectiveness and efficiency of the proposed method.

• Journal of the Korean Society for Precision Engineering
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• v.34 no.1
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• pp.19-22
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• 2017

This paper describes the efficient equipment maintenance that can offer the exact time for repair and change of component in root industry. A conventional method offered the fixed time for repair and change of component because the method is based on early guarantee specification of the component. However the operating condition of manufacturing field is often under worse condition than early guarantee condition for high productivity. So, most components can't use until early guarantee time due to the operation of various different condition. Therefore we suggest the useful method for efficient equipment-maintenance by manufacturing-field analysis and feedback database. For this, the classification of root industry and related equipment is performed and then the detail classification of the process and component for equipment maintenance. And the monitoring module is also designed to gather data for feedback process and the environment is basically implemented for aging and reliability test.

• Journal of Distribution Science
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• v.22 no.1
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• pp.79-94
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• 2024

Purpose: The popularity of social media has altered how customers interact with businesses, and an increasing number of customers prefer to voice their complaints on social media. Bystanders can observe the customer complaint process on social media, but the impact of transparency on bystanders remains uncertain. Therefore, this study established and verified a model for defining the effect of transparency and service recovery types on bystanders. Research Design and Methodology: In this study, we used the internet survey platform "So Jump" to collect data. And we validated three studies with SPSS 26.0 and Smart PLS 4.0. Result: First, we showed that the transparency process (vs. result) is more likely to increase customer forgiveness and E-loyalty and reduce E-NWOM intention among bystanders. Second, customer forgiveness also plays a complementary mediating role between transparency and E-loyalty, as well as between transparency and E-NWOM intention. Finally, we found a modest interaction effect between transparency (process vs. result) and service recovery types (psychological vs. tangible vs. hybrid) on bystanders' customer forgiveness and E-loyalty. Conclusions: This study provides actionable recommendations for how service managers can effectively employ social media as a means for distributing feedback information to manage service recovery in the future.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.182-195
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• 2023

The purpose of this study was to analyze reports from research middle schools based on the criteria for process-focused assessment to find out how the characteristics of process-focused assessment were being implemented in middle school science classes. The analysis criteria for the characteristics of process-focused assessment (integration of lessons and assessments, evaluation elements and methods, content and timing of feedback, and learner growth management) were extracted. Using the analysis framework, the result reports of seven research middle schools for process-focused assessment were analyzed. In terms of integration of lessons and assessments, when the process-focused assessment was operated, the class and evaluation plan were well implemented based on the curriculum achievement standards, but the process-focused assessment was recognized as a performance evaluation. In terms of evaluation elements and methods, the evaluation element for knowledge was the main component, and competency was presented in the planning stage, but competency was not dealt with in class execution. The evaluation method was biased toward teacher-centered observation evaluation and written test, and the setting of scoring criteria for each evaluation element was insufficient. In terms of the content and timing of feedback, feedback was mainly provided based on achievement confirmation, but no case was found in which scaffolding was provided at an appropriate time for insufficient parts in the learning process. In terms of the learner's growth management, the competencies cultivated through science classes were included in the detailed subject specialties of the school record. However, little was shown in the report on how to systematically manage the process of developing learners' competencies and reflect the evaluation results to teachers' class improvement.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.6
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• pp.1022-1038
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• 2017

Wearable smart products contributed to expand the concept of modern clothing in terms of closer communication between wearers and the surrounding environment. This study investigated the concept of wearable smart actuators and characteristics of actuating feedback. The representative product development trends over the past 10 years are examined based on the method of actuating feedback. A first keyword search from Naver and Google reused to select the final 58 products based on the second key keyword actuating feedback. The wearable smart actuator system works in a similar way to a human body system such as those of the information processing process. Actuating feedback is delivered directly to the user as the last signal of the system, which has visual, auditory and tactile feedback. It works in complex at the device to be delivered to the user. Actuator feedback is divided into three types of active and passive, depending on the user situation, the overall purpose of the product, the collected information, and the device dependency. Active actuating feedback determines and actuates the situation on behalf of the user when the user is in an emergency or a disability situation. Passive actuating feedback plays a role in environmental monitoring to help in a healthy daily life.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.19-32
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• 2000

Assignable causes producing temporary deviation from the underlying system can influence on process adjustment and process monitoring in dynamic feedback control system. In this paper, the impact of assignable causes on EWMA forecasts and process adjustment which is based on the EWMA forecasts are derived for optimum control methods.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.11
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• pp.1082-1088
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• 2004

This paer presents a feedback-controlled, MEMS-fabricated microaccelerometer($\mu$XL). The $\mu$XL has received much commercial attraction, but its performance is generally limited. To improve the open-loop performance, a feedback controller is designed and experimentally evaluated. The feedback controller is applied to the x/y-axis $\mu$XL fabricated by sacrificial bulk micromachining(SBM) process. Even though the resolution of the closed-loop system is slightly worse than open-loop system, the bandwidth, linearity, and bias stability are stability are significantly improved. The noise equivalent resolution of open-loop system is 0.615 mg and that of closed-loop system is 0.864 mg. The bandwidths of open-loop and closed-loop system are over 100Hz. The input range, non-linearity and bias stability are improved from $\pm10\;g\;to\;\pm18g$, from 11.1%FSO to 0.86%FSO, and from 0.221 mg to 0.128 mg by feedback control, respectively.

• Iberoamérica
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• v.23 no.2
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• pp.135-178
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• 2021

A teacher's talk does not make a simple delivery of information. It reflects the role of the teacher, since the language used by a teacher intervenes in a crucial way in the complex mechanisms that underlie teaching and learning of foreign languages. In this sense, the ways in which teachers give feedback have an impact on the process, not only of learning, but also of teaching. The important role of emotional factors in learning has resonated strongly in the intuition of many second and foreign language teachers. As a result, over the past three decades, research on foreign language acquisition has confirmed the hypothesis that language learning is enhanced by rapport between teacher and student. This study analyses the positive feedback given by native Spanish teachers in the context of university classes in Korea. The positive words from a language teacher are related to forming emotional factors such as motivation, attitude, interest, self-confidence, self-esteem, anxiety, and empathy, which directly influence in the acquisition of Spanish. 35 hours of oral practical classes taught by three native teachers of Colombian, Spanish and Mexican nationality were examined. According to the result, almost all the correct answers from students were corresponded with some type of positive feedback. The most frequent strategies are making a compliment, an approval, a repetition, and laughter or non-verbal cues. It is interesting to observe that teachers don't use only a single strategy to provide positive feedback, but instead combine multiple ways to enrich the positiveness of the feedback.

• The Journal of Korea Robotics Society
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• v.17 no.3
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• pp.264-272
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• 2022

Human-robot cooperative tasks are increasingly required in our daily life with the development of robotics and artificial intelligence technology. Interactive reinforcement learning strategies suggest that robots learn task by receiving feedback from an experienced human trainer during a training process. However, most of the previous studies on Interactive reinforcement learning have required an extra feedback input device such as a mouse or keyboard in addition to robot itself, and the scenario where a robot can interactively learn a task with human have been also limited to virtual environment. To solve these limitations, this paper studies training strategies of robot that learn table balancing tasks interactively using deep reinforcement learning with human's facial expression feedback. In the proposed system, the robot learns a cooperative table balancing task using Deep Q-Network (DQN), which is a deep reinforcement learning technique, with human facial emotion expression feedback. As a result of the experiment, the proposed system achieved a high optimal policy convergence rate of up to 83.3% in training and successful assumption rate of up to 91.6% in testing, showing improved performance compared to the model without human facial expression feedback.