• 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.

• Journal of Korean Elementary Science Education
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• v.29 no.3
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• pp.341-349
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• 2010

In this study, the effects of concept mapping with feedbacks providing explanatory comments on students' achievement, science learning anxiety, and science learning motivation were investigated in the undergraduate general chemistry course. The aptitude-treatment interactions between students' level of mastery goal orientation and the concept mapping with explanation feedback treatment were also examined. Sixty-seven freshmen from an university of education were assigned to a control group and a treatment group. The tests of mastery goal orientation, science anxiety, and science learning motivation were administered as pretests. For the treatment group, feedback providing students with explanatory comments through whole class discussion was presented after each concept mapping. Whereas the control group students were presented with opportunities solving excercise problems followed by explanation feedback. The intervention was lasted for 10 weeks (30 class periods). After the instructions, a researcher-made achievement test, the science learning anxiety test, and the science learning motivation test were administered. The results indicated that no statistically significant difference was found in students' achievement. In the science learning anxiety, however, the scores of the treatment group was significantly lower than those of the control group. The scores of the treatment group also tended to be higher, though not significant, than those of the control group in the science learning motivation. However, no significant aptitude-treatment interactions were found in all dependent variables.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.5
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• pp.629-635
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• 1999

A second-order iterative learning control algorithm with feedback is proposed in this paper, in which a feedback term is added in the learning control scheme for the enhancement of convergence speed and robustness to disturbances or system parameter variations. The convergence proof of the proposed algorithm is givenl, and the sufficient condition for the convergence of the algorithm is provided. And it also includes the discussions about the convergence performance of the algorithm when the initial condition at the beginning of each iteration differs from the previous value of the initial. Simulation results show the validity and efficiency of the proposed algorithm.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.553-560
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• 2022

The research of course-embedded learning evaluation method, which can be used to measure the competency of learners by evaluation of learning outcomes, has been performed for competency-based education in the university. In this paper, we propose an learning evaluation and adaptive feedback model based on learning outcomes, learning subjects, learning concepts graph, and an evaluation matrix. Firstly, we define the layered learning outcomes, a graph of learning subjects and concepts, and two association matric. Secondly, we define algorithms to calculate the level of learning achievement and the learning feedback to learners. We applied the proposed method to a specific course, "Java Programing", to validate the effectiveness of our method. The experimental results show that our proposed method can be useful to measure the learning achievement of learners and provide adaptive feedbacks to them.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.5
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• pp.608-615
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• 1998

In this paper a second-order iterative learning control algorithm with feedback is proposed for the trajectory-tracking control of nonlinear dynamic systems with unidentified parameters. In contrast to other known methods, the proposed teaming control scheme utilize more than one past error history contained in the trajectories generated at prior iterations, and a feedback term is added in the learning control scheme for the enhancement of convergence speed and robustness to disturbances or system parameter variations. The convergence proof of the proposed algorithm is given in detail, and the sufficient condition for the convergence of the algorithm is provided. We also discuss the convergence performance of the algorithm when the initial condition at the beginning of each iteration differs from the previous value of the initial condition. The effectiveness of the proposed algorithm is shown by computer simulation result. It is shown that, by adding a feedback term in teaming control algorithm, convergence speed, robustness to disturbances and robustness to unmatched initial conditions can be improved.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.466-471
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• 1994

To make a dynamic system a given desired motion trajectory, a new feedback error learning scheme is proposed which is based on the repeatability of dynamic system motion. This method is composed of feedforward and feedback control laws. A benefit of this control scheme is that the input pattern that generates the desired motion can be formed without estimating the physical parameters of system dynamics. The numerical simulations show the good performance of the proposed scheme

• The Journal of Korean Association of Computer Education
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• v.5 no.3
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• pp.59-67
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• 2002

In this study, we have designed and established a formative evaluation system which provides the web-based corrective feedback in the current situation that the importance of feedback as well as the formative evaluation is getting highlighted in the course of learning and instruction. This system is composed of three types of corrective feedback. The first one is the informations providing feedback by stage. It provides the explanations or the correct answers-related informations for the wrong answered questions by stage and directly. The second one is the error corrective feedback, which provides the informations about the reasons of the errors on each wrong answered question so that the learner can correct his errors. Lastly, the corrective feedback by the accumulated marks shows the learner's total marks and their wrong answered questions to enable the learner to learn for themselves. We analyzed how these three corrective feedback effects on the learning achievement after applying them to learners, and testified the type of the most effective corrective feedback in enhancing the degree of learning achievement.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.90-104
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• 2020

It is difficult for non-experts to build machine learning (ML) models at the level that satisfies their needs. Deep learning models are even more challenging because it is unclear how to improve the model, and a trial-and-error approach is not feasible since training these models are time-consuming. To assist these novice users, we examined how interactive and explainable feedback while training a deep learning network can contribute to model performance and users' satisfaction, focusing on the data preparation process. We conducted a user study with 31 participants without expertise, where they were asked to improve the accuracy of a deep learning model, varying feedback conditions. While no significant performance gain was observed, we identified potential barriers during the process and found that interactive and explainable feedback provide complementary benefits for improving users' understanding of ML. We conclude with implications for designing an interface for building ML models for novice users.

• Journal of the Korea Safety Management & Science
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• v.24 no.3
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• pp.61-74
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• 2022

In a rapidly changing environment, it is essential for companies to develop their capabilities for sustainable growth. To this end, informal learning at work plays an important role for small and medium-sized enterprises that are having difficulties in human resource development. If the GRIT of workers and the spiritual leadership of leaders are maintained at an appropriate level, the effect of informal learning will increase. This study derived the following results through a survey of workers participating in the Work-learning Dual System in Korea. First, experience and feedback among informal learning activities have a significant positive effect on competency development. Second, the higher the level of the GRIT of workers, the greater the magnitude of the positive effect of experience and feedback on competency development, showing a positive moderating effect. Third, in the case of workers with high GRIT, capacity development is strengthened as experience or feedback increases, and the higher the level of spiritual leadership, the greater the scope of reinforcement. On the other hand, it can be seen that in the case of workers with low GRIT, competency development weakens as experience or feedback increases, and the higher the level of spiritual leadership, the greater the extent of the weakening.

• The Journal of Information Systems
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• v.25 no.3
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• pp.117-146
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• 2016

Purpose The purpose of this paper is to examine factors and mechanism inducing end users' faithful appropriation of information security behavior through the information security system. This study is also trying to find out the role of Employees' adaptive activities like learning and feedback seeking behavior for the information security in organizations. Design/methodology/approach An empirical study was carried out with a sample of employees working in the financial service company. Employees(n = 268) completed a written questionnaire. Structural equation modeling was used to analyze the data. Findings Results indicated that employees' learning activities and feedback seeking behavior fully mediated the effect of major information security factors toward end users' faithfulness of appropriation of information security systems. In order to increase the level of employees information security behavior in accordance with security guideline, organizations should facilitate interactions that support the feedback seeking process between employees on information security awareness and behavior. Additionally, organizations may reinforce these behaviors by periodical training and adopting bounty hunter systems.