• Educational Technology International
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• v.18 no.1
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• pp.27-47
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• 2017

Smart devices have a variety of affordances to foster meaningful learning in elementary school. For the design of smart learning environments, more research is needed to understand students' smart device usage and their perception of learning with smart devices. In order to capture smart device usage profiles among elementary school students in South Korea, this study carried out Latent Profile Analysis with three constructs: information search, communication, and study. Participants (n=253), who ranged from the fourth to the sixth grade students, were classified into three profiles of smart device usage: low-activity, communication, and high-activity groups. The smart device usage profiles varied depending on smartphone usage experience, and the profiles were significantly related with smart device addiction, not with smart device usage ability. Perceptions of smart education were also significantly associated with the profiles. The high-activity group showed more positive attitudes toward smart education than the others, but no significant difference was found in regard to negative attitudes. Based on the findings, this study discussed implications for the use of smart devices in elementary school.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.2
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• pp.271-284
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• 2021

This study presents the educational utility of blended learning by analyzing the effectiveness of learning after class by blending team project learning and smart device app-based learning methods. Qualitative analysis and survey analysis were conducted and the results were as follows. First, team project activities based on task resolution were conducted freely through detailed activities such as sharing roles, planning meetings, and coordinating opinions. Team activities were carried out with respect and consideration, team member bonding, and a sense of responsibility. Second, the smart device app is recognized as a medium for work and communication, and fast feedback has been made, making it highly impactful on classroom activities. Third, in terms of learning satisfaction, most learners showed an interest in the course and were satisfied with the project results. The smart device app was used as a learning and communication medium for personal and team activities and was analyzed as a blended method applicable to classes that conduct practical activities as an efficient tool to further activate project activities.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.503-513
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• 2019

Objectives: This study aimed to analyze the effects of smart-learning on the education of dental hygiene students. Methods: This study was conducted on 135 students in the dental hygiene department from a single university, with a pre-test implemented in order to verify the homogeneity of the experimental (smart-learning exposed) and control groups. Following each group's lecture, we measured the study achievements of the students via a post-test, and their learning satisfaction through a questionnaire. An independent t-test was conducted to examine the homogeneity of the two groups and to compare both study achievements and learning satisfaction. Furthermore, a paired t-test was performed in order to compare the study achievements before and after lectures. Results: The average learning satisfaction level of the experimental group was $4.65{\pm}0.43$, which was higher than that of the control group ($4.46{\pm}0.54$) (p<0.05). After comparing the study achievements of the groups, there was no statistically significant difference between them, both before and after lectures. Paired comparisons conducted on the overall study achievements showed that they significantly increased following lectures when compared to what they were beforehand, in both the smart-learning and control groups (p<0.001). Conclusions: Smart-learning can be expected to result in positive effects for dental hygiene education, and further structural studies on the various types of smart-learning are needed.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.217-226
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• 2021

Since Covid-19, many educational institutions no longer view online learning as an additional material, but use it as their main learning tool. In this study, we tried to summarize the definition of smart learning and examined how smart learning math classes affect academic achievement, mathematical interest, and attitudes. We manipulate groups that conducted smart learning and groups that conducted face-to-face learning, and compare academic performance, mathematical interest, and attitudes after six weeks of learning. As a result, we found that the smart learning group had a large values in all three factors compared to the face-to-face learning group. We also found moderating effect. Students with lower grades largely improved their academic achievement scores as the difference in attitude changes through smart learning compared to those with higher grades.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.197-206
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• 2011

This study proposes the "Smart Learning" as a next generation for e-Learning, and focuses on developing policy for smart learning industry. Especially, this study's purpose is proposing a political agenda for smart learning industry as a knowledge-based industry. This study process for the realization of this purpose is belows: first, analyzing status of industry and policy in decades, second, finding problems and solutions, and finally, proposing the core subjects focused on practical value. And this study also focuses on the development of new policy suitable characteristics of the smart learning.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.451-464
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• 2016

The purpose of this paper is to review recent articles on applying smart learning for elementary students with learning disabilities. The search procedures through the Web-database system were implemented to find the proper research. Finally, a total of 10 articles met the criteria and were included in this review. Each study was analyzed according to the categories of the population, setting, research design, and intervention. The results indicated that research design implemented as case study and single subject design. Results founded strategies applying smart learning leaned too much towards using the skill-based application as learning contents. Based on analysis results, considerations for smart learning for elementary students with learning disabilities were suggested.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.271-279
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• 2011

With advanced technologies of information and communication technologies, ubiquitous computing becomes popular. U-learning(Ubiquitous Learning) is a new paradigm that was started with ubiquitous computing environment. U-learning has characteristics such as anytime, anywhere, any network and any device, The U-learning support system(ULSS) is the system for supporting the u-Learning. Also, with recent fashion of smart phones, their use in education becomes interested. In this paper, The ULSS is defined in smart phone environments.

• Journal of Engineering Education Research
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• v.20 no.3
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• pp.25-31
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• 2017

As the world enters the era of the Fourth Industrial Revolution, which is represented by advanced technology, it not only changes the industrial field but also the education field. In recent years, Smart Learning has enriched learning by using diverse forms and technologies that utilize vast amount of information about learners' individual knowledge through the emergence of realistic and intelligent contents that combine high technology such as artificial intelligence, big data and virtual reality and there is an increasing interest in intelligent adaptive learning, which can customize individual education. Therefore, the purpose of this study is to explore intelligent adaptive learning method through recent smart education environment, beyond traditional writing-based communication education which is highly dependent on the competency of instructors. In this study, we analyzed the various learner information collected in the communication course and constructed a concrete teaching and learning method of intelligent adaptive learning based on the instructor's intended smart contents. The result of this study is expected to be the basis of highly personalized teaching and learning method of digital method in communication education which is emphasized in the fourth industrial revolution era.

• Journal of Korean Association for Spatial Structures
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• v.21 no.2
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• pp.41-48
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• 2021

A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.

• Journal of Korea Multimedia Society
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• v.20 no.11
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• pp.1793-1802
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• 2017

In the recent years, IT and Network Technology has rapidly advanced environment in accordance with the needs of the times, the usage of the smart learning service is increasing. Smart learning is extended from e-learning which is limited concept of space and place. This system can be easily exposed to the various security threats due to characteristic of wireless service system. Therefore, this paper proposes the improvement methods of smart learning system security by use of faults analysis methods such as the FTA(Fault Tree Analysis) and FMECA(Failure Mode Effects and Criticality Analysis) utilizing the consolidated analysis method which maximized advantage and minimized disadvantage of each technique.