• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.1-10
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• 2001

Most existing research into the metacognitive approach in mathematics learning has been concentrated mainly in the study of phenomena of metacognitive (including the affective) behaviour in the context of mathematical problem solving or more broadly mathematical content-elated learning. However, this study originally constructs the concept of "macroscopic metacognition" which could be differentiated with general metacognition, and draws out macroscopic-metacognitive factors among the elementary and middle school students through individual interview. Questionnaire research is executed to find out how the macroscopic metacognition is included into the students' mathematics learning and the relationship between their mathematics learning accomplishment and macroscopic metacognition. Thus, a considerable degree of the positive relationship between these two variables was found out.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.593-598
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• 2003

Machine learning organizes knowledge for efficient and accurate reuse. This paper is concerned with methods of concept learning from examples, which glean knowledge from a training set of preclassified ‘objects’. Ideally, training facilitates classification of novel, previously unseen objects. However, every learning system relies on processing and representation assumptions that may be detrimental under certain circumstances. We explore the biases of a well-known learning system, ID3, review improvements, and introduce some improvements of our own, each designed to yield accurate and pedagogically sound classification.

• Journal of Engineering Education Research
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• v.15 no.6
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• pp.34-42
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• 2012

Problem solving by homework assignment is a process of practicing what were discussed in classrooms and thus is considered as an essential part of learning procedure in engineering education. We introduced the concept of cooperative learning, Student Teams-Achievement Division(STAD), to improve the students' learning efficiency by in-class problem solving. The instructor explained fundamental concepts, and lecture materials were handed out to compensate for the time of in-class team activity. Brief tests were given after every chapter, and team-based additional credits were given for the improvement comparing the average of previous tests of each student. This attempt of modified STAD was evaluated to have brought about a significant improvement in students' academic achievement, in addition to activating classroom atmosphere.

• The Mathematical Education
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• v.47 no.4
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• pp.405-419
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• 2008

The purpose of this study is to find oui the effects of teaching mathematical concepts by designing and applying teaching and learning programs that takes into consideration the students' strong intelligence, through the teaching and learning strategies based on the multiple intelligences theory. For this study, developmental and experimental research was conducted. In the developmental research part of the study, teaching and learning programs for teaching the concept of multiplication were designed and the activities based on the multiple intelligences were chosen. On the other hand, in the experimental research part, the data acquired from the application of nonequivalent control group pretest-posttest design in the actual classes was processed and analyzed. The results above indicate that the teaching and learning program based on the multiple intelligences theory improved the students' overall understanding of mathematical concepts by providing various types of activities. In addition, this program helped students to increase their confidence and generate a positive attitude towards learning math.

• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.96-99
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• 2020

According to brilliant development of smart devices, many related services are being devised. And, almost every service is designed to provide user-centric services based on personal information. In this situation, to prevent unintentional leakage of personal information is essential. Conventionally, ID and Password system is used for the user authentication. This is a convenient method, but it has a vulnerability that can cause problems due to information leakage. To overcome these problem, many methods related to face recognition is being researched. Through this paper, we investigated the trend of user authentication through biometrics and a representative model for face recognition techniques. One is DeepFace of FaceBook and another is FaceNet of Google. Each model is based on the concept of Deep Learning and Distance Metric Learning, respectively. And also, they are based on Convolutional Neural Network (CNN) model. In the future, further research is needed on the equipment configuration requirements for practical applications and ways to provide actual personalized services.

• Journal of the Korean Institute of Educational Facilities
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• v.16 no.1
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• pp.79-86
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• 2009

The purpose of this study is to suggest the design guidance of education facilities by analysing Alvaro Siza's education facilities of which considered having idiosyncratic spatial characteristics. Focusing on the his planning of learning and transitional space of education facilities, this study aims at eliciting the spatial characteristics of his architecture. In doing so, this study tries to figure out his basic method of reification of his basic architectural concept which is articulated in learning space and transitional space of education facilities by introducing the boundary element and penetration of light in order to support student's learning activity and foster abundant cognitive experiences. Therefore, this study presents the feasible supplementary design method for future education facilities to be appropriate not just for quantitative factors, but for qualititative aspects such as user's psychological fulfillment, and emotional satisfaction.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.57-67
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• 2017

In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.358-368
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• 2022

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

• Journal of the Korean earth science society
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• v.23 no.8
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• pp.666-675
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• 2002

The purpose of this study was to develop the level-defferentiated Web Based Instruction(WBI) program, to examine its effects on the science achievement self-directed learning characteristics, and the students’ perceptions on the WBI learning. For this purpose, the advanced and complementary WBI program of level-differentiated curriculum was developed to adapt to class fields and examine instruction facilitating efficiency. Designed and developed the WBI program make it possible to teach students according to the level-differentiated learning for the chapter, ‘weather and climate’ in high school science curriculum. The results of this study are as follows: First, level-differentiated WBI was effective to encourage self-concept, learning eagerness, future-oriented self-apprehension, creativity, self-assessment of the student’s self-directed teaming characteristics. There was no interaction effect of treatment and students’ learning ability at the self-directed learning characteristics. Second, the scores of science achievement of WBI group were significantly higher than those of conventional lecture group. There was interaction effect of treatment and students’ learning ability. However level-differentiated WBI has no effect on openness, initiative, responsibility of the student’s self-directed learning characteristics. There was interaction effect of treatment and students’ learning ability at the science achievement, Third, in the perception questionnaire of WBI teaming, many students showed the WBI teaming was good in terms of causing interaction between learners and web based learning materials including various images and animations. However there are several students who showed learning difficulties. For example they wonder which part is more important and what order is proper to study in hypertext environment.

• 모자간호학회지
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• v.4 no.1
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• pp.80-90
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• 1994

Concept analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal linguistic exercise to determine those defining attributes. The basic purpose of concept analysis is to clarify ambiguous concepts in theory, and to propose a precise operational definition which reflects the theoretical base of the concept. The concept of maternal role is too broad and variable in expression, therefore there has been no authentic definition nor standard opinion for this concept. The purpose of this study is to clarify the concept of maternal role which in turn will help in the development of a theory of maternal role attainment. In order to analyze the concept of maternal role, much effort was extended to look up "maternal role" in various dictionaries and literature, but only a few cases were found which listed this terminology. Consultation on the meaning of "mother" and "role" separately was then done and consequently a definition of "maternal role" was obtained through concept analysis of these two words independently, finding their attributes and unifying them. The attributes of the concept of maternal role which was analyzed based on the steps of concept analysis by Walker & Avant (1988) are : 1) Women who have pregnancies 2) Women who have a child 3) Women who rear a child 4) Expected behavior according to social status 5) Learning through social cultures 6) Social interrelationships. The antecedents of the maternal role are : 1) women who are pregnant and deliver a baby, must keep in contact with their child. 2) Circumstances for childrearing must be provided. 3) Formation of self-concept as mother should be developed, cognitive activity, which is necessary for the nurturing activity, financial support and preparation of childrearing should be provided. And the consequences of the maternal role are : 1) Improvement 2) Changeability 3) Ambiguity 4) Stability Through this concept analysis, the concept of the maternal role is defined as "expected behavior by social interrelationships and learned nurturing behavior through social cultures."