• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.129-143
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• 2021

This paper proposes actuator fault detection and adaptive fault-tolerant control algorithms using performance index and human-like learning for longitudinal autonomous vehicles. Conventional longitudinal controller for autonomous driving consists of supervisory, upper level and lower level controllers. In this paper, feedback control law and PID control algorithm have been used for upper level and lower level controllers, respectively. For actuator fault-tolerant control, adaptive rule has been designed using the gradient descent method with estimated coefficients. In order to adjust the control parameter used for determination of adaptation gain, human-like learning algorithm has been designed based on perceptron learning method using control errors and control parameter. It is designed that the learning algorithm determines current control parameter by saving it in memory and updating based on the cost function-based gradient descent method. Based on the updated control parameter, the longitudinal acceleration has been computed adaptively using feedback law for actuator fault-tolerant control. The finite window-based performance index has been designed for detection and evaluation of actuator performance degradation using control error.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.98-112
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• 2021

This study aimed at measuring students' interaction in distance education through the electronic platform among intermediate school students, by identifying the level of students' interaction in distance education and differences between them, as well as its impact on their motivation to learn. To achieve the aim of the study, two scales were designed for this purpose and were applied to a sample consisting of (268) individuals. The results showed that the level of students' interaction through the e-learning platform was at a high level. The results also showed that there was no statistically significant difference between the mean scores of males and females in the scale of students' interaction through the e-learning platform. There was no statistically significant difference between them in their motivation for distance learning via the online platform. There were also no statistically significant differences related to the grade variable in the level of interaction through the electronic platform and in the motivation to learn, while there was a positive statistically significant effect of interaction through the electronic platform on students' motivation to learn.

• Journal of the Korean earth science society
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• v.25 no.5
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• pp.327-335
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• 2004

The purpose of this study was to investigate the effect of cooperative skill training on problem based learning for elementary school science class. Two experiment groups were involved, in which problem based learning model was used and control group, in which traditional instruction was employed. One of experiment groups was trained in cooperative skills before the instruction. The results demonstrated a significant main effect in the scores of achievement and a significant interaction effect between the instructional strategies and learning ability level. The performance of high-level students in the two experimental groups was higher than that of control group. However, the performance of medium and low-level students trained with cooperative skills training was higher than that of students without cooperative skills training. A significant main effect was also found in self-esteem, but there was no significant interaction between instructional strategies and learning ability. Therefore, this study suggests that cooperative skills training is of great importance for minimizing the free-rider effect and increasing collaborative interaction in cooperative learning.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.65-71
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• 2017

With advances in technology, many researchers have made an effort to find out educational methods with customized instruction. The purpose of the research is to investigate i) if flipped learning is beneficial for the students taking intermediate-level English grammar and writing class compared with the traditional class, ii) if the flipped learning class is advantageous for all the score level students in terms of student achievement and iii) if the students feel motivated with the flipped learning class. T-test was utilized to determine any differences between pretest and posttest in student achievement. The result in terms of the academic achievement revealed that the flipped classroom approach for the low score group was found to be the least effective among others. In the case of flipped learning teaching method, the instructor should develop contents according to the level of learners. The development of customized contents tailored to the level of learners will enhance learners' learning achievement.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.11-27
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• 2008

Though web-based learning is known to be effective for computer aided practical class, it lacks in cooperative human feedback and self-adjustment. This paper presented the effects of blended learning that was based on web-based learning for learning by level and blended with peer tutoring for reducing the differentials of scholastic achievements between the students. For experimental purpose, high school students were divided into two groups and web-based EXCEL tutoring tool was developed and applied to both groups in advance. After this learning, we applied the web-based learning for comparative group as before and peer tutoring for experimental group respectively, Performance result evaluated by SPSS showed that the Blended Learning has affirmative effect in scholastic achievements. Especially, students under the medium level of experimental group could narrow the gap to the high level students in its group and this eventually improved the overall achievements of experimental group with blended learning.

• Journal of the Korean Institute of Educational Facilities
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• v.27 no.5
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• pp.13-23
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• 2020

From the perspective of smart learning space, this study aims to take a look at the learning space of college students who do online remote learning in the COVID-19 era, and analyze their demands on what smart learning space they want. Furthermore, this study intends to provide valuable implications for the technology-enhanced learning environments by deriving design elements that make up the university's smart learning space. To achieve these goals, we conducted a review of prior studies, interviews with experts, and case analysis on smart learning spaces of major Korean and foreign universities, which are considered as innovative cases. Additionally, in order to confirm the difference between the importance level recognized by the college students and the current performance level for nine components of technology and for ten components of spaces and facilities, a paired t-test and an Importance-Performance Analysis (IPA) were carried out. According to the result of IPA analysis, Internet of Things from the technological aspects, a desk that can supply power and a flexible learning space from the aspects of spaces and facilities were found to have much lower performance than the importance. This result is meaningful in suggesting key design components for smart campus development in the post-COVID-19 world.

• Journal of The Korean Association For Science Education
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• v.27 no.9
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• pp.765-777
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• 2007

Investigations into how the status of prior learning on the textbook of science were conducted, and the effects of prior learning on students' attitudes towards science class were carried out. The investigations for the status of prior learning were performed with a number of students who experienced prior learning, (self-directed and unself-directed prior learning), a selfless intention as the starting motive for prior learning, the problem solving strategies used by students in prior learning, and the important factor that influenced prior learning. The effects of prior learning on student attitude towards science class were also examined with respect to four categories, including confidence, interest, learning intention, and value (effect). The effects of prior learning on the four categories were analyzed on the basis of the students' level of scientific achievement, the types of prior learning, the starting motive for prior learning, and the extent of the students' understanding of the content on prior learning. The analytical results for the effects of prior learning on students' attitudes towards science class showed that the mean values of confidence, learning intention, and value among the students in the self-directed prior learning group were higher than those of the students in the unself-directed prior learning group. These findings are the result of positive recognition, such as the possibility that the students experienced with self-directed prior learning can do, the induction of an inherent motive based on their level of achievement in science class, and the operant learning of strategies for solving problems in science class. Meanwhile, by the effects of having a teacher lead the science class and the consensus formed between friends, the mean level of interest was higher in the unself-directed prior learning than in the self-directed prior learning.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.197-206
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• 2011

The purpose of the study was to suggest automatic recognition of the subject's level of arousal into high arousal and low arousal with neural network SOM learning. The automatic recognition in the level of arousal is composed of three stages. First, it is a stage of ECG measurement and analysis. It measures the subject playing a shooting game with ECG and extracts characteristics for SOM learning. Second, it is a stage of SOM learning. It learns input vectors extracting characteristics. Finally, it is a stage of arousal recognition which recognize the subject's level of arousal when new vectors are input after SOM learning is completed. The study expresses recognition results in the level of arousal and the level of arousal in numerical value and graph when SOM learning results in the level of arousal and new vectors are input. Finally, SOM evaluation was analyzed average 86% by comparing emotion evaluation results of the existing research with automatic recognition results of SOM in order. The study could experience automatic recognition with other levels of arousal by each subject with SOM.

• Journal of Industrial Convergence
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• v.7 no.2
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• pp.33-44
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• 2009

I first present a set of features for distinguishing group learning from other concepts. I then develop a framework for understanding group learning that focuses on learning's basic processes at the group level of analysis: storage, and retrieval.

• Journal of Industrial Convergence
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• v.7 no.2
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• pp.45-57
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• 2009

I first present a set of features for distinguishing group learning from other concepts. I then develop a framework for understanding group learning that focuses on learning's basic processes at the group level of analysis: sharing.