• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.243-252
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• 2013

In this paper, we analyzed and suggested an educational strategy and features for project-based learning in smart learning environment. Smart learning environment is different of e-learning environment, therefore the educational strategy for smart learning is needed. In this paper, we conducted project-based learning for elementary school students in smart learning environment, and we analyzed the difference between a normal project-based learning and a project based learning in smart learning environment and suggested the educational strategy and the considerations through questionnaire, interview, and observation, Furthermore, we figured out factors that affected educational satisfaction of student. As a result, students thought that there is difference of smart project-based learning in some factors: technology and devices, software, and participation for learning. Also, we found main factors to affect educational satisfaction are two factors: technology and devices, and always-on.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.21-31
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• 2016

The changes to Ubiquitous Network Environment leads existing learning environment to Smart Learning Environment. Expecially, Smart Learning Environment is in changing paradigm existing teacher centered environment and learner centered environment, recently the demand of Smart Learning Environment for learners are growing up. This study analyzed Learning Environments for Smart Learning Environment focused on the learners through analyzing Ubiquitous Network Environment that is concentrated on the physical aspects and the non-physical aspects. Also, we suggested learning several ways that can be effectively applied based on the environmental characteristics of Smart Learning.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.91-99
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• 2013

In these days, the smart devices are being developed and used repeatedly. But almost E-learning System did not provide these smart devices environment and user's E-learning space is changing from Single-screen environment to multi-Screen environment. Accordingly we configure smart E-learning space based on multi-screen and integrate the multi-media contents for the Smart E-learning service. We present the synchronization techniques to make the multi-screen environment for smart space with Timed Link and design the Timed Button to relate each Screen which is using multi-media e-learning contents.

• Management & Information Systems Review
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• v.34 no.5
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• pp.127-148
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• 2015

The results indicate that direction of online reviews have a significant effect on both information reliability and product attitude. In addition, consumers' shopping experience also shows a moderating effect between the direction of online reviews and the dependent variables. Furthermore, product type also shows a moderating effect on the information reliability, yet not on the product attitude. In clarify the relationship between the satisfaction and success of smart-learning smart learning and learner analyzes the main factors that affect the learning flow results, The smart learning variety of properties, personalization, complexity affects the learning flow variety, personalization, ubiquity affects the interaction, It was analyzed by a useful impact on the learner interactivity and immersive learning outcomes. This gives the implications of the smart learning attributes are important in order to maximize the learning experience for smart learning.

• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.81-96
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• 2011

With the popularity of smart phones for mobile learning on the rise, cyber universities in Korea are trying to build a reliable mobile campus infrastructure. Such advances in smart phone technologies have made it increasingly easy for users to stay connected and this heightened interaction through smart phones has educational potential for collaborative learning. Thus, to fulfill its educational potential and ultimately provide optimal learning environments on the smart phones, this study has developed a discussion-based interface prototype for collaborative learning. The proposed interface design was evaluated through cognitive walkthrough of the expert reviewers and its usability improvements were also offered.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.135-143
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• 2011

The smartphone allows learners to be involved in learning environments in which students actively study from anywhere and at anytime. Because learners can keep engaged in the environment where they can access to the internet, they can efficiently study in transit using various features and functions of smartphone. Smart learning is a unique learning based on mobility and functions of mobile digital devices including searching and sharing information and using various applications. For the effective use of smartphones in e-learning systems, the contents and learning management systems should be designed to meet effective teaching and learning principles, such as interactivity and collaborations. In smart learning, learning contents for effective learning need to be integrated with typical functions of smartphones and to develop small pieces of learning contents according to learning topics. In the case of learning management systems, it should reflect understanding of learners' environment using a PA agent program and provide personalized learning services.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.129-137
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• 2017

The purpose of the study is to investigate the convergence influence of excessive smartphone use on attention deficit, learning environment, and academic procrastination in health college students. A self-reported questionnaire was completed by 255 college students in Busan drom March 6 to June 12, 2017. The degree of smartphone overuse, lack of attention, learning environment, and academic procrastination according to smartphone use characteristics showed significant effects on the time spent on smartphones per day, awareness of smartphone addiction, and personal use of smartphones during class time (p<0.001). It was shown that smartphone overuse was positively correlated with attention deficit (r=0.870, p<0.01), learning environment (r=0.812, p<0.01), academic procrastination (r=0.772, p<0.01), and attention deficit showed a positive relationship with learning environment (r=0.918, p<0.01) and academic procrastination (r=0.798, p<0.01) Learning environment was positively correlated with academic procrastination (r=0.777, p<0.01). The influence factors of smartphone overuse were attention deficit (p<0.001), followed by academic delay behavior (p<0.01). It is necessary to establish a healthy learning environment through prevention and proper use of smartphone.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.143-148
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• 2019

시대적 변화에 따른 경력성공의 관점이 변화하고 있지만 다수의 연구들은 창업과 취업을 분리하여 연구되어 왔다. 또한 환경의 변화뿐만 아니라 개인 가치관의 변화에 따라 평생 직장의 개념이 사라졌으며 전 생애에 걸친 학습의 필요성이 대두 되고 있다. 학습의 형태는 기존의 지식을 전달하는 형태에서 다양하게 변화해왔다. 교실 수업의 형태는 팀활동과 미디어 활용을 중심으로 변화하고 있으며 교실 밖 수업에서는 자율적인 동아리 활동이나 커뮤니티의 참여 등을 통해 역량을 향상시키는 기회를 제공하고 있다. 개인의 경력은 인생에 걸친 학습과 일에 관련된 경험 및 행동과 연관된 태도로부터 발생한다. 이러한 경력을 이끌어가는 태도는 새로운 환경속에서 즉각적인 요구를 받아들이는 적응학습과 새로운 행동 및 지식을 유발하는 생성학습, 그리고 상호작용 패턴 인식을 통해 새로운 시도를 하는 전환학습을 지속적으로 일으킨다. 또한 이러한 무형식 학습들은 취업과 연계 될 뿐만 아니라 창업의도에도 긍정적인 영향을 줄 수 있다. 본 연구는 자기주도성과 가치지향성을 척도로 하는 프론티언 경력태도가 창업의도에 영향을 미치지 확인함으로서 기존의 취업역량과 연결시켜왔던 연구에 새로운 시사점을 제시하고자 한다. 또한 무형식학습 활동을 매개변인으로 투입하여 학습 과정에서 자연스럽게 발생하는 학습의 효과를 확인하여 변화된 교육형태의 중요성을 확인하는데 의의가 있다. 이에 더해 스마트미디어를 활용하는 능력인 스마트미디어 리터러시와 팀 학습을 지향하는 팀학습 선호도를 조절효과로 보아 분석함으로서 스마트미디어활용 학습과 팀학습의 형태로 변화하고 있는 교육 현장의 특성을 함께 확인하고자 한다. 이를 위해 2019년 3월부터 6월까지 교육과 경력 환경의 변화의 중심에 서있는 대학생들을 대상으로 설문조사를 실시하여 이를 분석하고자 한다.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.183-204
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• 2017

Since the development of Smart technology and the advent of various Smart media, a learning environment for individual learners and the school has been changing. In the stream of changing learning environments, in 2011, the government announced SMART education strategies, introducing the term officially, "SMART education." With the governments' efforts to develop and implement SMART education in school, many policies has been enacted and many research has been conducted and increased gradually. However, as policies of SMART education have initiated in situation where there is no clear understanding in regard of SMART education, many researchers and teachers confused of SMART education and its identity and attributes, even though it has been 6 years since the concept was introduced. Unfortunately, SMART education has been implemented as one type of instructional methodology as utilizing Smart technology. Thus, in this research, we tried to build theoretical foundation of SMART education through analyzing former research on SMART education to define the attributes of SMART education. To examine how SMART education has been implemented in terms of its attributes, also, we analyzed research that conducted instructional design and implementation on SMART education in actual learning environments. As the results of former research analysis, the attributes of SMART education include Information and Communication Technology, open learning environment, self-directed learning, customized learning, and social learning. In majority of research, SMART education focused on utilizing Smart technology and media in teaching and learning environments but self-directed, and customized learning were less adapted in SMART learning environments. In the following research, how to improve educational benefits of SMART education through adapting original attributes of SMART education need to be examined.

• Information Systems Review
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• v.18 no.4
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• pp.69-88
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• 2016

Nowadays, organizations have adopted Smart Work to efficiently manage tasks, such as electronic document approval, customer management, and site inspection, without spatial-temporal constraints. Smartphones, which are commonly used in Smart Work, enable individuals to perform their jobs anytime and anywhere, thus blurring the boundary between work and non-work. To solve the problem of blurred work/non-work boundaries, a construct of self-control and affective factors needs to be considered because business style is changed from command to autonomy in the Smart Work context. Moreover, employees can convey their emotions easily over smartphones. Recent marketing studies have analyzed consumers' behavior based on the combination of cognitive, affective, and behavioral components, and researchers of information systems are also interested in these factors. However, previous research has some limitations, such as not classifying factors into cognitive, affective, and behavioral as well as not covering all three factors. Therefore, we explore the roles of cognitive, affective, and behavioral components in emotional exhaustion and education performance, and conduct a survey on undergraduate and graduate students, who are the major users of smartphones. Findings show that when individuals improve their cognitive capability (self-control) and usage experience (smartphone communication and internet usage), they can decrease emotional exhaustion and increase education performance. In the role of affective capability, increasing education performance is partially accepted. These results imply that organizations should not focus on controlling the usage of smartphones but on promoting appropriate smartphone usage.