• Journal of the Korean Chemical Society
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• v.47 no.6
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• pp.625-632
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• 2003

In this study, the effects of two types of reward methods in cooperative learning were investigated upon students' achievement, learning motivation, perceptions of learning environment and perceptions of reward methods. Seventh graders (N=61) were selected from a co-ed middle school in Seoul, and were taught about 'three states of matter', 'motion of molecules' and 'change of state and thermal energy' for 14 class hours. Reward methods were classified into task-oriented reward and performance-oriented reward. The results revealed that high-level students performed better in the task-oriented reward group, and low-level students performed better in the performance-reward group for the 'application' subcategory of the achievement test. The scores of attention and relevance in learning motivation and task orientation, involvement, and order and organization in perceptions of learning environment test were significantly higher in the task-oriented reward group than those in the performance-oriented reward group.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.3
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• pp.292-299
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• 2016

Purpose: The purpose of this study was to provide a basis for improvement and enhancement of nursing education by investigating learning outcomes that apply to fundamentals of nursing and teaching methods used in classes. Methods: Data were collected from 111 professors of fundamentals of nursing who responded to the self-report questionnaire. Data were analyzed using chi-square test. Results: For learning outcomes in fundamentals of nursing the most frequent number of outcomes was two (35.2%), or three (32.4%). For learning outcomes in fundamentals of nursing practicum, the most frequent number of outcomes was two (32.4%), or three (31.6%). In fundamental nursing classes, teaching methods used most frequently were lectures (98.2%) and videos (60.4%), and in practice classes, demonstration (98.2) and open laboratory (90.9%). Constructivist teaching methods that were utilized in fundamental nursing were team-based learning (19.8%) and case-based learning (19.8%), and for practice classes, objective structured clinical examination (29.7%). In the cross analysis, 28.8% of the nursing professor used the constructivist teaching methods in fundamental nursing and in practice classes. Conclusion: There is a need to continue to improve teaching methods for new nurse-educators and professors and to discuss learning outcomes of fundamental nursing.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.69-81
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• 2020

The objective of this study is to seek ways to maximize learning effects from e-learning by drawing improvement directions through investigating and analyzing an awareness of e-learning among e-learning attendees. The study was conducted among the attendees who are taking the e-learning program operated by K University and collected data from the students taking second semester in 2018 with the use of structured questionnaires. For data processing, SPSS Statistics 22.0 and AMOS were used, along with such analytical methods as frequency anslysis, descriptive statistical analysis, ANOVA (Analysis of Variance), t-analysis and cross tabulation. For significant data, it conducted an analysis by carrying out the Scheffe's test. According to the findings from this study, they showed a significant difference only in gender and curriculum desired to be opened in the question about e-learning participation motives per background factor. As for the learners' motives to study, it was confirmed that they tend to become more biased on time utilization and convenience of learning methods. The analysis of which factor of the three - learning factors, system factors and instructor's factors - has greatest effects on learning satisfaction indicated that learning factors influenced learning satisfaction the most in accordance with values for non-standard coefficient beta, followed by instructor factors which had a direct effect.

• Journal of the Korean Institute of Educational Facilities
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• v.26 no.3
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• pp.33-41
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• 2019

As the information age matures, the learning style of youth is changing rapidly. Students study at a variety of places such as cafe or lobbies utilizing various digital learning devices. Along with the place changes, learning methods are also changing. Student-centered learning methods such as smart learning, collaborative learning, and activity-based learning are increasingly being utilized instead of the traditional instructor-centered learning in which knowledge is unilaterally delivered. Accordingly, many universities are remodeling central libraries, and they are also transforming lobby spaces of the college buildings into simple but useful learning spaces. In this study, we analyze the characteristics of learning spaces in universities from the standpoint of the students. According to the analysis, overall satisfaction is high in terms of comfortable physical learning environments such as Wi-Fi, furniture, lighting, etc. But the spaces are still optimized for individual and intensive learning. There seems to be a lack of effort to support collaborative learning or activity-based learning. This observation is confirmed by the characteristics of the central library, and it is considered that the reason why the college buildings are preferred by students is that college buildings are more suitable for collaborative or activity-based learning than libraries.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.2
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• pp.73-83
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• 2014

Many recent theoretical developments in the field of machine learning and control have rapidly expanded its relevance to a wide variety of applications. In particular, a variety of portfolio optimization problems have recently been considered as a promising application domain for machine learning and control methods. In highly uncertain and stochastic environments, portfolio optimization can be formulated as optimal decision-making problems, and for these types of problems, approaches based on probabilistic machine learning and control methods are particularly pertinent. In this paper, we consider probabilistic machine learning and control based solutions to a couple of portfolio optimization problems. Simulation results show that these solutions work well when applied to real financial market data.

• Communications for Statistical Applications and Methods
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• v.26 no.6
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• pp.591-610
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• 2019

Deep Learning is one of the machine learning methods to find features from a huge data using non-linear transformation. It is now commonly used for supervised learning in many fields. In particular, Convolutional Neural Network (CNN) is the best technique for the image classification since 2012. For users who consider deep learning models for real-world applications, Keras is a popular API for neural networks written in Python and also can be used in R. We try examine the parameter estimation procedures of Deep Neural Network and structures of CNN models from basics to advanced techniques. We also try to figure out some crucial steps in CNN that can improve image classification performance in the CIFAR10 dataset using Keras. We found that several stacks of convolutional layers and batch normalization could improve prediction performance. We also compared image classification performances with other machine learning methods, including K-Nearest Neighbors (K-NN), Random Forest, and XGBoost, in both MNIST and CIFAR10 dataset.

• International Journal of Contents
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• v.10 no.2
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• pp.42-46
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• 2014

This study suggests a teaching-learning method to improve creative design abilities of students majoring in design. By suggesting a creative design-inducing (CDI) teaching-learning method process and a creative design-inducing (CDI) teaching-learning method, this study aims to expand creative thinking among students with the aim of producing produce creative output as well as improving the effectiveness of design teaching. It also presents a case of the teaching-learning method in a design-related department, the process of teaching where the new method is applied is also examined. The teaching method this study suggests has the following merits: First, it allows the teacher to use various tools depending on the creative thinking abilities of individuals. By providing students with custom-made teaching, the method motivates and focuses students during the lesson. Second, it is easier for students to generate creative ideas than with other teaching methods.

• Journal of Educational Research in Mathematics
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• v.12 no.1
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• pp.1-16
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• 2002

The 7th Curriculum emphasizes that in mathematics classes, mathematical concepts be understood and mathematical problems be solved through student's own exploratory activities including the use of data, manipulatives, andtechnological devices. Following the main idea of the Seventh Mathematics Curriculum, this paper dealt with instructional methods applied suitably and effectively in mathematics classes, and focused on the 'exploratory learning in groups' method in mathematics education. For this purpose, this paper reviewed and summarized theories related to general pedagogy and of mathematics education. Based on the results, it investigated appropriate instructional methods in mathematics education. In particular, this paper focused on studying the exploratory learning method while investigating its properties and understand- ing the relationship between the 'exploratory learning in groups' method and the discussion-centered method. Finally, in order to show the usefulness of the exploratory learning method, this paper developed an example of a teaching module using the exploratory learning method in addition to discussion and lecture-centered methods by the use of manipulatives. The main goal of the module was to make students understand the principle of multiplication of integers.

• Journal of Information Technology Applications and Management
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• v.9 no.2
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• pp.1-16
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• 2002

Recently, neural network methods have been studied to find out more valuable information in data bases. But the supervised learning methods of neural networks have an overfitting problem, which leads to errors of target patterns. And the unsupervised learning methods can distort important information in the process of regularizing data. Thus they can't efficiently classify data, To solve the problems, this paper introduces a hybrid neural networks HACAB(Hybrid Algorithm combining a Competition learning model And BP Algorithm) combining a competition learning model and 8P algorithm. HACAB is designed for cases which there is no target patterns. HACAB makes target patterns by adopting a competition learning model and classifies input patterns using the target patterns by BP algorithm. HACAB is evaluated with random input patterns and Iris data In cases of no target patterns, HACAB can classify data more effectively than BP algorithm does.

• Journal of Korea Multimedia Society
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• v.12 no.12
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• pp.1796-1808
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• 2009

Elementary school students have a little awareness of privacy protection since they do not have many opportunities for systematic education on information and communication ethics. Hence, they are likely to expose their own information to others and sometimes bring on a lot of misuses by using others' information. In this paper, we provide an idea for teaching and learning methods which the elementary school students acquire privacy protection and management methods and raise their practical capabilities. We develop a role play teaching and learning model in connection with various Information and Communication Technology (ICT) activities and establish the instruction plans. Moreover, we apply them to the actual classes at grade five and six of the elementary school students respectively, and finally analyze the results. The proposed teaching and learning method shows that the students participated in a series of learning activities have higher learning effects on awareness of privacy protection than those learned with the conventional methods.