• Research in Mathematical Education
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• v.13 no.2
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• pp.151-170
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• 2009

This study reports a research which was conducted on how frequently and where the students use the unit circle method while dealing with trigonometric functions in solving the trigonometry questions. Moreover, the reasons behind the choice of the methods, which could be the unit circle method, the ratio method, or the use of trigonometric identities, are also investigated to get an insight about their understanding. In this study, the relationship between the students' choices of methods in solving questions is examined in terms of instrumental or relational understanding. This is a multi-method research which involves a range of research strategies. The research techniques used in this study are test, verbal protocol (think aloud), and interview. The test has been applied to ten tenth grade students of a public school to get students' solution processes on the paper. Later on, verbal protocol has been performed with three students of these ten who were of the upper, middle and lower sets in terms of their performance in the test. The aim was to get much deeper data on the students' thinking and reasoning. Finally, interview questions have been asked both these three students and other three from the initial ten students to question the reasons behind their answers to the trigonometry questions. Findings in general suggest that students voluntarily choose to learn instrumentally whose reasons include teachers' and students' preference for the easier option and the anxiety resulting from the external exam pressure.

• The Mathematical Education
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• v.56 no.3
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• pp.281-300
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• 2017

This study analyzed the difficulties of middle school students in computer simulation of the law of large numbers through eye movement analysis. Some students did not attend to the simulation results and could not make meaningful inferences. It is observed that students keep the existing concept even though they observe the simulation results which are inconsistent with the misconceptions they have. Since probabilistic intuition influence student's thinking very strongly, it is necessary to design a task that allows students to clearly recognize the difference between their erroneous intuitions and simulation results. In addition, we could confirm through eye movements analysis that students could not make meaningful observations and inferences if too much reasoning was needed even though the simulation included a rich context. It is necessary to use visual representations such as graphs to provide immediate feedback to students, to encourage students to attend to the results in a certain intentional way to discover the underlying mathematical structure rather than simply presenting experimental data. Some students focused their attention on the visually salient feature of the experimental results and have made incorrect conclusion. The simulation should be designed so that the patterns of the experimental results that the student must discover are not visually distorted and allow the students to perform a sufficient number of simulations. Based on the results of this study, we suggested that cumulative relative frequency graph showing multiple results at the same time, and the term 'generally tends to get closer' should be used in learning of the law of large numbers. In addition, it was confirmed that eye-tracking method is a useful tool for analyzing interaction in technology-based probabilistic learning.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1357-1366
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• 2017

In the context of domestic consumption environment changes such as expansion of smartphones and increase of single-person households, hypermarket, which was the mainstream of the existing retail market, have recorded negative growth for the last three years due to declining sales. And it is not enough to analyze the influence relationship with other retail channels or investigate the cause of consumption movement. In this study, we analyzed the decline in the growth rate of hypermarket by demographic variables, consumption time, etc. And logistic regression analysis revealed the relationship between the decrease in consumption of hypermarket and the change in the proportion of sales of other retail channels. In addition, we surveyed consumers who have decreased consumption of hypermarket based on actual card consumption data to determine why they choose different retail channels. This is significant in that the result of quantitative analysis of changes in retail channel consumption and the result of qualitative reasoning converged to give a stereoscopic view of consumption.

• The Journal of Information Technology
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• v.4 no.2
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• pp.69-81
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• 2001

In this paper, we examine work in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the capabilities of the systems to build and maintain situational or world models, utilize dynamic knowledge representations, exploit context and overage advanced reasoning and learning capabilities. We argue that these elements are essential to producing effective systems for retrieving visual information at semantic levels matching those of human perception and cognition. In this paper, we review relevant research on the understanding of human intelligence and construction of intelligent systems in the fields of cognitive psychology, artificial intelligence, semiotics. We also discuss how some of the principal ideas from these fields lead to new opportunities and capabilities for content-based retrieval systems. Finally, we discribe some of our efforts in these directions. In particular, we present MediaNet, a multimedia knowledge presentation framework that facilitate and enable intelligent content-based retrieval.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.265-278
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• 1996

This paper concerns professional socialization of medical students. Professional socialization, in the context of this paper, means the process through which a layperson becomes a doctor equipped with professional identity and values. While medical education does not include such process in the curriculum, medical students obtain certain values and identity informally. The dependent variables were professional values and professionalism. The former means the desirable attributes required to conducting professional works such as humane attitudes, science-oriented mind, capability for organizational management. The latter means socio-political reasoning with which doctors can rationalize their privileges such as autonomy. A specially designed questionnaire was developed. The data were collected from five medical schools for 1,318 students in 1994. A total of 1,070 cases were finally included in the statistical analysis. The students emphasized the human factor in the professional values. Their attitude did not change with the grade. Other independent variables such as motives for entering a medical school, socioeconomic status, satisfaction with medical education, etc. also did not influence professinal values. It implies that professional values were not consolidated among the students. However, the factors of professionalism change significantly with the grade. It implies that the students paid more attention to socio-political issues related to doctor's interests as the grade went up. And the factor scores for professionalism were higher for those students who had more positive attitude towards doing medical practice for profit, expected higher income, and were more conservative about social reform. Other independent variables did not influence professionalism. It seems that the students also give emphasis on professionalism, like current medical doctors, mainly because of their concern with recent unfavorable changes in economic conditions of medical care providers.

• Journal of the Korean Chemical Society
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• v.45 no.2
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• pp.177-182
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• 2001

An instructional model using multiple analogies according to component process (MACP) was designed on the vasis of schema theory and comornent process theory in analogical reasoning. This model has ？ phases: introducting multiple analsgs, extracting multiple analogs, extracting common attributes of analogs, introducing target conanother context. Te instructional effects of this model upon students' conceptual understanding and learning motivation were compared with those of the Teaching-With-Analogy (TWA) and non-analogy instructions. Three classes of 8th grade were randomly assigned to MACP, TWA, and control group, respectively, Subjects were taught about chemical changes and reactions for 10 class hours. The ANCOVA results indicated that the scores of the conceptions test for the MACP group were significantly higher than for the control graup. However, no significant differences were found among the three groups in the test scores of learning motivation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.19-26
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• 2011

Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.

• Korean journal of communication and information
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• v.54
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• pp.98-117
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• 2011

This paper is a theoretical inquiry of the changing roles of digital technologies in the representation of risk. Critically examining existing perspectives on risk society and risk communication, this paper argues that digital technologies and images in risk communication have been relatively understudied. Having said that, this paper suggests that Actor-network Theory provide useful theoretical tools for current studies on how digital technologies affect contemporary risk communication practices. Furthermore, this paper examines varied recent studies investigating how digital technologies of visualization are at play in risk communication practices. In doing so, this paper demonstrates how digital images and technologies interrupt the processes that scientific evidence is presented and facts are constructed in varied contemporary scientific reasoning. It will focus on the emerging mode of seeing and visual regime made possible by the increased usage of digital image and technologies, which are characterized by networked connection, sensor, computerized algorithm, and increased storage space. Finally this paper will discuss on the implications on future studies on the roles of digital images and technologies in risk communication practices in Korean context.

• Journal of Information Technology Applications and Management
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• v.25 no.1
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• pp.19-32
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• 2018

Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University's FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

• School Mathematics
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• v.11 no.4
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• pp.583-605
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• 2009

This research aims to examine the characteristics and main subjects of the mathematics class-criticism by elementary' teachers. In this aim, we analyzed the mathematics class-criticism by the 11 elementary teachers. As the results of this research, the elementary teachers criticized the mathematics class while understanding and describing the class as it is. And mathematics class-criticism by elementary teachers showed contextual and situational characteristics. Furthermore, the main subjects of mathematics class-criticism by elementary teachers were identified as mathematical communication, teacher's question to foster the students' mathematical thinking, appropriateness of task, motivation for students, concrete operational activity, appropriateness on teacher's mathematical behavior and teacher's use of mathematical term, experience of inductive reasoning. While, we identified the significance of mathematics class-criticism for elementary teachers. The elementary teachers pointed out the necessity and importance of the mathematics class-criticism on the mathematics class in usual context.