• 대한가정학회지
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• 제51권2호
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• pp.253-261
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• 2013

The purpose of this study was to investigate the moderating effects of parental monitoring on the relationship between children's dependency on mobile phones and control of learning behavior. The data came from the 2010 Korean Children and Youth Panel (N = 1,609) conducted by the National Youth Policy Institute. The analysis method used was Structural Equation Modeling by using SPSS 17.0 and AMOS 7.0. To test the significant moderating effects, Ping's two-step technique, which is free from the requirement of nonlinear constraints, was used. Our results demonstrated that children's dependency on mobile phones had negative effects on control of learning behavior, and the interaction effects between such dependency and parental monitoring affected the control of learning behavior. Thus, these results proved the moderating effects of parental monitoring in the control of learning behavior. This study suggests that parental monitoring buffers against having difficulties to control and adjust one's behavior associated with control of learning behavior, which is affected by the dependency on mobile phones among children. We discussed that the risks of children's dependency on mobile phones and parental monitoring should be acknowledge as a significant protective factor.

• 한국콘텐츠학회논문지
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• 제11권2호
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• pp.477-486
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• 2011

본 논문의 목적은 대학에서 모바일 기기를 활용한 수업에서 어떠한 형태의 교수 학습 활동이 이루어지고 있는지를 분석하고 유형화하는 것이다. 모바일 기기를 제공하였을 때 교수학습 활동이 기존의 방법과 어떻게 다른가 하는 점이 본 논문의 주요 논점이었으며, 수업에 주로 활용된 교수 방법, 교수 전략, 활용 기기, 평가 방법 등이 분석의 기준이 되었다. 또한 구체적인 교수 학습 활동에 대해 심층면담을 통해 분석 결과를 뒷받침하고자 하였다. 본 논문의 대상 교과목에서는 강의식보다 사례 분석식 교수방법, 교수 학습 전략 면에서는 구체적인 사례에 대한 설명과 질문에 대한 피드백을 제공하는 전략이 사용되었다. 학습자활동 면에서는 발표와 질문이 많이 활용되었고, 자료 면에서는 그래픽이나 인터넷 자료 등이 다수 활용되었으며, 평가 면에서는 과제 해결을 통한 평가 방법이 주로 활용되었다. 이러한 결과는 향후 대학에서 모바일 기기를 활용한 수업에서 교수 학습 모형을 개발하기 위한 기초자료가 될 것이다.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.245-251
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• 2023

Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.

• 전자통신동향분석
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• 제34권6호
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• pp.71-86
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• 2019

The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.

• 컴퓨터교육학회논문지
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• 제12권4호
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• pp.23-34
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• 2009

본 연구의 목적은 대학생의 자기조절학습을 지원하는 모바일 연동 학습관리시스템을 설계 개발하고 그 효과성을 검증하는 데 있다. 본 연구를 위한 자기조절학습을 지원하는 모바일 연동 학습관리시스템은 15주에 걸쳐 체제적 접근의 개발 절차를 따라 개발되었다. 개발된 학습관리시스템의 효과를 규명하기 위해 D대학 1학년 학생 136명을 8주 동안 연구집단과 비교집단으로 나누어 모바일 연동 학습관리시스템 적용 수업에 참여하게 하고 사전과 사후의 학업성취도와 자기조절학습능력의 차이가 있는 지를 검증하기 위해 공분산 분석(Analysis of Covariance)을 실시하였다. 연구결과, 자기조절학습을 지원하는 모바일 연동 학습관리시스템이 학습자의 학업성취도와 자기조절학습능력을 향상시키는 데 효과적이었음을 확인할 수 있다.

• Human Ecology Research
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• 제59권3호
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• pp.341-351
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• 2021

The purpose of this study was to examine the longitudinal relationships between Korean adolescents'mobile phone dependency, trajectories of depression, and self-regulated learning abilities. To achieve these goals, structural equation modeling analysis was conducted, using the 3rd, 5th and 7th wave of the data on 4th graders taken from the Korean Children and Youth Panel Survey. The results can be summarized as follows. First, growth-curve longitudinal analysis indicates that depression in 6th through 10th grade has increased. Second, mobile phone dependency among adolescents at 6th grade has a significant effect on both the initial value and the rate of change in depression. Also, the initial value and the rate of change in depression have significant relationships with mobile phone dependency at 10th grade. Moreover, both increased levels of mobile phone dependency and the rate of change in depression significantly influence adolescents'self-regulated learning abilities at 10th grade. Based on a longitudinal data set, these findings demonstrate the causal relationships between Korean adolescents'trajectories of depression and their mobile phone dependency. The findings also provide a comprehensive framework with implications for adolescents'development through an understanding of the relationships between adolescents'depression and mobile phone dependency, which impact their self-regulated learning abilities.

• Journal of Computing Science and Engineering
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• 제4권1호
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• pp.80-95
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• 2010

In order to truly integrate e-Learning system into regular curriculum at a university, mobile access to Learning Management Systems has to be enabled. Mobile devices have the potential to be integrated into the classroom, because they contain unique characteristics such as portability, social interactivity, context sensitivity, connectivity and individuality. Adoption of Learning Management Systems by students is still on the low rate, mostly because of poor usability of existing e-Learning systems. Our initial research has confirmed this hypothesis. Usability issue is rising to the higher level on the mobile platform, because of the mobile devices' limited screen size, input interfaces and bandwidth, and also because of the context of use. Our second hypothesis was that it is wrong to consider a mobile device as a surrogate for desktop or laptop personal computer (PC). By just adopting the existing Learning Management System on mobile devices with adaptive technologies such as Google proxy, we do not acquire the satisfactory results. Usability can prove to be even lower compared to desktop application. One possible solution to the problem could be development of rich client applications for today's mobile devices that would raise the usability to a higher level. We developed a PocketPC prototype application by using user-centered design principles, which we presented as a third alternative in usability research conducted among university students. Results gathered in such a way have confirmed that development of e-Learning system, in order to be widely accepted by students, needs to have the user(student) in the center of development process.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권1호
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• pp.49-53
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• 2010

e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.

• 컴퓨터교육학회논문지
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• 제18권1호
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• pp.55-68
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• 2015

본 연구는 기술수용모형(TAM)을 이론적 틀로 설정하여 사이버대학생을 대상으로 이러닝과 연계된 모바일러닝에 대한 모바일 자기효능감, 이동성, 지각된 유용성, 지각된 사용용이성과 수용의도 간에 인과관계를 규명하고자 하였다. 본 연구의 결과는 첫째, 모바일 자기효능감, 이동성이 지각된 사용용이성에 영향을 미쳤고 둘째, 모바일 자기효능감, 이동성, 지각된 사용용이성이 지각된 유용성에 영향을 주었다. 셋째, 모바일 자기효능감, 이동성, 지각된 유용성은 모바일러닝 서비스 수용의도에 영향을 미쳤으나 지각된 사용용이성은 모바일러닝 서비스 수용의도에 영향을 미치지 못한 것으로 확인되었다.

• Asia Marketing Journal
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• 제21권4호
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• pp.77-89
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• 2020

Population-level learning has traditionally been used to provide an explanation for the underlying mechanism of industry change. But it has yet to examine the impact on strategic decisions such as market entry. This conceptual paper aims to provide an insight into how population-level learning affects entry likelihood by acting as a tool for interpreting population-level changes. We study this in the context of the fast-paced mobile gaming industry where population-level information is salient and develop a set of propositions with regard to the likelihood of entry.