• Journal of Korean Elementary Science Education
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• v.40 no.4
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• pp.460-479
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• 2021

The crisis of the COVID-19 pandemic has caused significant changes in education systems worldwide, including in Korea. Due to COVID-19's social distancing policies, the education system was suddenly switched to distance learning, resulting in many problems in primary schools without preparation. The purpose of this study was to investigate a teacher's awareness of science education techniques, responses to issues in science classes, including inquiry activities, advantages and disadvantages, and roles after experiencing distance learning. Survey and focus interviews were conducted for primary school teachers who had previously participated in distance learning, such as online content classes and real-time interactive classes. The study findings showed three conclusions: 1) Primary school teachers conducted one-way and interactive lectures in online classes. It is vital to improve a teacher's digital literacy to improve other teaching methods such as investigation and discussion in online classes. 2) Primary school teachers acknowledged the challenges of field feedback, inquiry item preparations, and safety in inquiry activities of science classes, by providing individual experimental packages and videos and using online discussion and feedback among teacher - student and student - student interactions. 3) Primary school teachers recognized that various types of classes using IT devices and individualized learning were possible as advantages of distance learning. As for disadvantages, it was acknowledged that inquiry activities, cooperative learning, immediate feedback, and interaction among students were challenging. Furthermore, learning gaps were wider in distance learning.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.21-33
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• 2014

This is a research on the characteristic and its limit of Korean migrant women policy to prospect and suggest in the point of interculturalism. The focus of this paper is in summing-up to current situation of multiethnic society which rapidly progressing in Korea and in reviewing the race-oriented, gender-biased issue in the migrant women policy in Korea. However, the migrant women go through by the unique rebuilt progress in the transnational social field which can be continue for several or for decades between delivery country and inflow country but the one-sided, certain movement to a new country. In the above mentioned standpoint, this paper can suggest the implication for the concept and its character of interculturalism, the policy and undertasking case in Europe as a realistic directing point on which the migrant women policy in Korea. The educational program consolidation of intercultural citizenship, the orientation of pluralistic integration through selective assimilation, the consolidation of intercultural adaptation program, the intercultural measurement metrics development and feedback which considered of Korean characteristics are proposed in this paper.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.235-242
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• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.207-215
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• 2016

The objective of this study is to examine the relevance between Job Characteristic and Organizational Effectiveness by Job Stress. The proxy variable of the Job Characteristic are skill variety, task identity, task significance, task autonomy, and task feedback. The proxy variable of Job Stress are role conflict, role ambiguity, and role overload. And the proxy variable of Organizational Effectiveness are job satisfaction, organizational commitment, and turnover intention. The sample consists of 379 data belonging to manufacturing and service industry located on Busan, Ulsan, and Gyungnam in 2015. The result of this study shows that there is difference on the relevance between Job Characteristic and Organizational Effectiveness according to the Job Stress. Therefore, it is more important to reduce the job stress to enhance the Organizational Effectiveness.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.8
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• pp.61-70
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• 2009

A 10b 30MS/s pipelined ADC operating under 1V power supply is presented. It utilizes a switched-RC based input sampling circuit and a resistive loop to reset the feedback capacitor in the multiplying digital-to-analog converter (MDAC) for the low-voltage operation. Cascaded switched-RC branches are used to achieve accurate grain of the MDAC for the first stage and separate switched-RC circuits are used in the sub-ADC to suppress the switching noise coupling to the MDAC input The measured differential and integral non-linearities of the prototype ADC fabricated in a 0.13${\mu}m$, CMOS process are less than 0.54LSB and 1.75LSB, respectively. The prototype ADC achieves 54.1dB SNDR and 70.4dB SFDR with 1V supply and 30MHz sampling frequency while consuming 17mW power.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.53-60
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• 2016

This study investigated the effect of visual mathematics education using smartphones and immediate feedback through SNS on students' understanding of basic mathematical concept and academic achievement at the tertiary level. Researchers analyzed the test results of 214 students' mid-term and final examination in 4 classes consisted of 16 weeks' classes with two hours per week. Also their 30 questionnaire survey results were analyzed. The result reveals that classes using smartphones promoted understanding mathematical concepts and induced students' motivation and affirmative reaction. This study implies that an appropriate use of technology will support dynamic visualization of mathematical modeling and its interpretation, which enables students' active participation and deeper understanding.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.237-243
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• 2015

In this paper, we consider a cascaded type of control architecture for a multi motor-based feedback control system and propose an ADC (Analog to Digital Converter) resource allocation method to efficiently utilize the limited ADC resources. The purpose of the resource allocation method is to minimize both the motor position measurement error and the d-q current measurement error. The cascaded type of control architecture is applied in parallel to each motor to independently control the speed of a motor in the multi motor control system. All the control algorithms are implemented by software using a single microcontroller without using additional microcontrollers. It is illustrated by experiments that the speed and the torque of each motor are controlled precisely by the proposed control architecture with the efficient ADC allocation method.

• Journal of Biomedical Engineering Research
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• v.26 no.5
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• pp.343-349
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• 2005

Continuously motivating people to exercise regularly is more important than finding a way out of barriers such as lack of time, cost of equipment, lack of nearby facilities, and poor weather. Our proposed system presents practicable methods of motivation through a diverse exercise aid system. The Health Improvement and Management System (all-in-one system which saves space and maintenance costs) measures and evaluates a diverse body shape analysis and physical fitness test and directs users to automated personalized exercise prescription which is prescribed by the expert system of three types of exercise templates: aerobics, anaerobics, and leisure sports. Automated personalized exercise prescriptions are built into XML based documents because the data needs to be in the form of flexible, expansible, and convertible structures in order to process various exercise templates, BIOFIT, a digital exercise trainer, monitors and provides feedback on the physiological parameters while users are working out in the gymnasium. If these parameters do not range within the prescribed target zone, the device will alarm users to control the exercise and make the exercise trainer adjust systemically the proper exercise level. Numeric health information such as the report of the physical fitness test and the exercise prescription makes people stay interested in exercising. In addition, this service can be delivered through the Internet.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.69-77
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• 2014

System Dynamics(SD) is one of the complexity theories that has attracted attention as a computer-aided simulation methodology to analyze a dynamic problem and to develop a policy(strategy) in social science. Though there are properly unproven cases in research models which were developed in various fields by SD methodology during the last five decades, they are utilized as models to represent SD sub-theories. For this reason, this study targeted the population dynamics model which was frequently utilized to explain SD fundamentals and it proved errors of reasoning a structure of the existing causal and dominant feedback loop. Consequently, we presented a strategy to strengthen the coherence between CLD(causal loop diagram) and SFD(stocks-and-flows diagram) for improving validity of the existing model. The findings of this study contribute to the advancement of the existing SD and to the reinforcement of validation for policy research models of SD.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.19-29
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• 2020

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.