• Journal of Korean Elementary Science Education
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• v.36 no.4
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• pp.331-345
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• 2017

The purpose of this study is to collect and analyze the student's pre-inquire and to obtain information on how to use the teaching-learning process. The specific research problem is to confirm the level of the student's pre-inquire, to identify the characteristics of each type, and to check what pre-inquire can be used in the teaching-learning process. The research was conducted on 149 children in the $3^{rd}$ and $4^{th}$ grade of elementary school, and collected a total of 2,034 inquires. As a result of analyzing three times, the students' pre-inquires accounted for 90% of Level 2 and Level 3, which are the inquires that give meaningful answers in the teaching-learning process. These results show that the pre-inquires presented before the students take up the new lesson are not low-level inquires and they can present meaningful inquires that can be used for teaching-learning. Next, as a result of analyzing the student's inquire by type, the factual question was the largest with 50%, followed by comprehension question, procedural question, application question, and prediction question. The factual and procedural questions showed that they could be used as learning activities during the teaching-learning process. Comprehension questions included in the wonderment question can be used as a learning question. And the application question is a question that can be applied to deepening activities, and the prediction question can be used in the inquiry and experiment process of learning activities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2831-2845
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• 2022

Compared to the significant approach of project-based learning research, a data-driven design project-based learning has not reached a meaningful consensus regarding the most valid and reliable method for assessing design creativity. This article proposes an advanced information data-interactive learning system for creative design using a service design process that combines a design thinking. We propose a service framework to improve the convergence design process between students and advanced information data analysis, allowing students to participate actively in the data visualization and research using patent data. Solving a design problem by discovery and interpretation process, the Advanced information-interactive learning framework allows the students to verify the creative idea values or to ideate new factors and the associated various feasible solutions. The student can perform the patent data according to a business intelligence platform. Most of the new ideas for solving design projects are evaluated through complete patent data analysis and visualization in the beginning of the service design process. In this article, we propose to adapt advanced information data to educate the service design process, allowing the students to evaluate their own idea and define the problems iteratively until satisfaction. Quantitative evaluation results have shown that the advanced information data-driven learning system approach can improve the design project - based learning results in terms of design creativity. Our findings can contribute to data-driven project-based learning for advanced information data that play a crucial role in convergence design in related standards and other smart educational fields that are linked.

• Asia Marketing Journal
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• v.17 no.1
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• pp.27-53
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• 2015

Learning organization has been an important issue in both management and marketing areas. Also learning capability is a key construct of innovation process in a firm. Especially, in marketing context, several researchers have studied market-based learning and its relation with performance. Previous studies have shown that market-based learning has a positive impact on overall firm performance. However, there has been inconsistency in the concept of market-based learning itself and its relationships with antecedents and consequences. Given this conflicting and inconsistent results of previous research, this study has two main objectives. First, this paper proposed a conceptual framework that marketbased learning has two types of processes and each types of market-based learning will generate different types of performance. Second, the mediating role of marketing capability in learning-performance link is proposed. The proposed conceptual framework shows that organizations which have marketbased learning for innovation management can enjoy ambidextrous firm performance on both side of effectiveness and efficiency via marketing capability. Moreover our research model proposes key drivers of market based organizational learning.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.54-59
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• 2012

It is reported that the constructivistic learning method (CLM) enhances the understanding of the students in the learning process, especially in engineering classes. In CLM-based classes, the students can take the initiative in the learning process, which is called the student-centered model of the learning process. This is different from the traditional learning method based on the teacher-centered model, where a teacher plays the central role in the learning process of students. The authors have applied the method of CLM to one of the Engineering classes, namely production planning and inventory control (PPIC) class for undergraduate students. The PPIC class provides multimedia-based study materials and factory visits as well as regular lecture sections to cover the whole subject of inventory control theory and practice. In the review sessions, students are divided into several groups, and question-and-answer discussions were actively carried out among these groups under the support of the teacher as a facilitator. It was observed that the student engagement in the class was very active compared to the conventional lecture-based classes. As for further support of students understanding on the subject, simulation-based materials are also under study for the class. This paper presents the review of case study of CLM-based PPIC class and discusses the feasibility of simulation-based study materials for further improvement of the class.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3283-3292
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• 2022

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environment for the agent of reinforcement learning. The reinforcement learning agent chooses an action according to the system state obtained by the pressure sensor, the incremental action can gradually approach the optimal strategy for the current fault, and then the agent updates the network by different rewards obtained in the interaction process. In this way, we can transform the active fault tolerant control process of the OTSG to the reinforcement learning agent's decision-making process. The comparison experiments compared with the traditional reinforcement learning algorithm(RL) with fixed strategies show that the active fault-tolerant controller designed in this paper can accurately and rapidly control under sensor faults so that the pressure of the OTSG can be stabilized near the set-point value, and the OTSG can run normally and stably.

• East Asian mathematical journal
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• v.33 no.4
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• pp.413-429
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• 2017

This study is a basic study for developing a mathematical learning application program that can be used in smart devices for adaptive learning. We selected 20 mathematical learning applications including middle school contents and analyzed learning types. And we analyzed the contents and the learning process. As a result, most learning types of mathematics learning applications were problem-centered. Contents analysis results showed that the most applications have achievement goals. The factors that induce interest in learning were lacking and feedback was not provided sufficiently. Analysis of the learning process showed that most of the math learning applications were classified according to their purpose and characteristics.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.405-416
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• 2022

Current AI technology is improving the quality of life by using machine learning based on data. When using machine learning, transmitting distributed data and collecting it in one place goes through a de-identification process because there is a risk of privacy infringement. De-identification data causes information damage and omission, which degrades the performance of the machine learning process and complicates the preprocessing process. Accordingly, Google announced joint learning in 2016, a method of de-identifying data and learning without the process of collecting data into one server. This paper analyzed the effectiveness by comparing the difference between the learning performance of data that went through the de-identification process of K anonymity and differential privacy reproduction data using actual financial data. As a result of the experiment, the accuracy of original data learning was 79% for k=2, 76% for k=5, 52% for k=7, 50% for 𝜖=1, and 82% for 𝜖=0.1, and 86% for Federated learning.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.3
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• pp.878-887
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• 2017

This study performed a qualitative research on the transformative learning cases in vocational education for female baby-boom generation. The baby-boom generation that recently starts retirement is participating in vocational education for their re-employment. Even though their first goal of education was to find a job, they experienced in finding themselves through the actual education. Especially, female baby-boom generation learners were finding their own identity as an entity of social participation, getting out of the existing identity as wife, mother, and housewife. Such a learning experience was the process of recovering themselves, and in this process, new meanings of life were formed. In the results of the study, first, the learning experience in vocational education was the transformative learning to find themselves. They newly created themselves by critically introspecting their negative experience and perception of themselves, and then rearranging/cognizing the accumulated experiences. Second, the immersion in the transitional process to learner increased the motivation for learning and also drew learning about learning. Especially, they reinterpreted their educational methods and contents based on their learning experience in the vocational activity. Through the process, they learnt their past learning experience again. Third, the educational volunteer activity through learning club was a place for study to practice learning. Through this, the research participants realized that theories could not be separated from practice.

• Journal of The Korean Association For Science Education
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• v.31 no.4
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• pp.641-662
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• 2011

In this study, explicit Teaching and Learning strategy for middle school students were developed to improve basic science process skills. After applying these strategy in an actual class, the effects of Teaching and Learning strategy and change of students were analyzed. Explicit Teaching and Learning strategy to improve basic science process skills are developed based on analyzing preceding research. The use of application criteria for class of basic science process skills combined with explicit Teaching and Learning strategy, it is sought for the explicit instructional procedures of said skills. After analyzing the class in which explicit Teaching and Learning strategy were demonstrated, students reported that they were able to comprehend basic science process skills more effectively through the stages of explicit explaining and independent practice. The showing demonstration stage was heavily emphasized by the teacher in this class. Analysis of students' understanding degree about basic science process skills, most of them show positive outcome. Another analysis of ripple effect on daily life and other subjects, it is found that students could have the attitude to make use of science process skills for themselves. Through the result of study, it is found that explicit Teaching and Learning strategy that are developed from this study are an effective way to comprehension students' basic science process skills. Thus, continued study is needed to develop and spread explicit Teaching and Learning strategy of science process skills to be applicable in actual classes in secondary schools.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.3
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• pp.125-137
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• 1994

Manufacturing environs constantly change, and any efficient software system to be used in manufacturing must be able to adapt to the varying situations. In a CAPP (Computer-Aided Process Planning) system, a learning capability is necessary for the CAPP system to do change along with the manufacturing system. Unfortunately only a few CAPP systems currently possess learning capabilities. This research aims at the development of a learning system which can increase the knowledge in a CAPP system. A part in the system is represented by frames and described interactively. The process information and process planning logic is represented using a decision tree. The knowledge expansion is carried out through an interactive expansion of the decision tree according to human advice. Algorithms for decision tree modification are developed. A path can be recommended for an unknown part of limited scope. The processes are selected according to the criterion such as minimum time or minimum cost. The decision tree, and the process planning and learning procedures are formally defined.