• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.120-122
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• 2016

While smart learning have been introduced for more learning effect, this study is to understand students' smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.131-133
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• 2016

While smart learning have been introduced for more learning effect, this study is to understand teacher's smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of teachers.

• Journal of The Korean Association of Information Education
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• v.17 no.2
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• pp.135-146
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• 2013

Smart Learning has been introduced in the educational field recently and it has been used in various ways to improve the quality of education. This research is focused on smart learning contents development for settlement in the educational field. It has carried forward studying in smart learning contents development using storyline, which is a kind of application authoring tool. We analyzed previous studies related to smart learning and presented the characteristics of storyline and the process of content development. Furthermore, we developed the content of digit sorting in Information Life for 6th grade elementary students and applied it to the field to evaluate the educational effectiveness. Through experimental results, the mean difference between traditional activities instruction and instruction using smart learning content was not significant. Nevertheless it has been found the immediate feedback and repeating of activities using smart learning has had positive impacts for understanding, satisfaction and learning interest.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.497-506
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• 2013

The purpose of this study is to explore and develop a new instructional approach to a technology-enhanced, collaborative learning environment called Smart technology-enhanced Team-Based Learning (S-TBL). We designed a novel instructional model that combines mobile technology, collaborative teamwork, a problem-solving process, and a variety of evaluation techniques from the viewpoint of a conventional team-based model. Based on the traditional TBL model, we have integrated smart learning technologies: 1) to provide a holistic learning environment that integrates learning resources, assessment tools, and problem solving spaces; and 2) to enhance collaboration and communication between team members and between an instructor and his or her students. The S-TBL instructional approach combines: 1) individual learning and collaborative team learning; 2) conceptual learning and problem-solving & critical thinking; 3) both individual and group assessment; 4) self-directed learning and teacher-led instruction; and 5) personal reflection and publication.

• Journal of the Korean earth science society
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• v.34 no.7
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• pp.727-737
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• 2013

The purpose of this study was to investigate the middle school students' perception and their learning satisfaction in SMART learning based science instruction. Three types of modules on the solar system and lunar phases unit at the middle school level were developed and lessons on each module were taught to 207 student participants. All participants were provided with tabletPC(iPad2) with iOS5 installed, and using astronomy app Solar Walk, mirroring function, QR code, and Google Presentation, the lessons were carried out both in classroom and at home. The instrument for assessing students' perception on the SMART learning-based instruction was developed based on 4 factors including Self-directed, Motivation, Adaptiveness, and Technology Embedded, with a Likert scale from 1-5 on 20 items. The learning satisfaction survey instrument was originally from Keller's work (1987), and its test items were adapted and modified. To reveal the perception and learning satisfaction about SMART learning-based science lessons, the participants were comparatively analyzed by gender and science achievement levels. Results indicated that male students showed positive perception for the SMART learning-based instruction. Group with higher science achievement scores showed more positive perception of the SMART learning-based instruction in terms of Self-directed and Motivation factor. Also, the learning satisfaction of male students was higher than female students and group with higher academic ability more satisfied with the SMART learning-based instruction than the low group. The results provide implications for future development of programs and help set a direction of increasing the use of a SMART learning-based science in school.

• The Journal of Korean Association of Computer Education
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• v.15 no.4
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• pp.25-39
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• 2012

Smart education is defined as creating new values through connecting educational elements based on smart devices and infrastructure. In the study, we propose a theoretical and procedural framework for developing smart learning activities, which is considered characteristic of smart education, as well as environments in smart schools of Sejong Special Autonomous city. In addition, we discuss an instructional model developed from the framework. A smart learning activity as a basic unit in instruction is represented as a block when design and instruction focuses on smart learning activities. The block consists of components from learning activities, motivation, information activities, and tools when a teacher has smart learning ideas. Based on the theoretical and procedural framework, the thought-sharing model (i.e., that learners share ideas and opinions with classmates, review classmates' work, and enhance their own work) is an instructional model that leads to smart education. We discuss considerations for developing instructional models using the framework.

• Journal of Korean Library and Information Science Society
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• v.44 no.2
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• pp.27-50
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• 2013

In this study, a smart Learning instruction model for school library was developed in terms of library instruction. Based on ADDIE model and ASSURE model, this model is organized considering the characteristics of school library, including facilities, materials, human resources, information problem solving process, collaborative teaching and blended learning, and utilizing smart devices. The entire procedure of this model is as follows: "establishment of instructional objectives${\rightarrow}$learner analysis${\rightarrow}$analyzing the learning environment${\rightarrow}$analyzing the learning task${\rightarrow}$instructional process design${\rightarrow}$developing instructional tool${\rightarrow}$instruction${\rightarrow}$evaluation". In addition, an instructional practice is provided for actual experience of smart Learning in school libraries.

• International Journal of Contents
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• v.10 no.2
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• pp.59-66
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• 2014

The Purpose of this study is to examine the effects of the Smart reading program, Smartree, in an elementary English class. Recently in Korea, the use of smart technologies in education has become an issue with the introduction of a new educational platform and increased social interaction between teachers and students. The Smart learning paradigm is converging with technology and social learning. This study examines an English reading method using smart technology and how it affects the improvement of elementary students' reading ability, we also suggest effective reading methods related to Smart learning suitable for this new educational trend. The results showed that the use of a tablet PC based Smartree reading program had meaningful effects on both improvements of cognitive reading ability and changes in affective attitude.

• Knowledge Management Research
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• v.24 no.4
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• pp.219-235
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• 2023

The advancement of digital technology and the impact of COVID-19 have brought about changes in corporate innovation and organizational culture, thereby highlighting the significance of Smart Learning in the field of HRD (Human Resource Development). This trend has led to an increased interest in personalized Smart Learning among employees due to the growth of hybrid work and the widespread adoption of smart work practices. This study aimed to illuminate the relative importance of the factors that constitute Smart Learning from the perspective of HRD practitioners. Through a review of prior literature, Smart Learning hierarchy and factors most fitting to the current context were identified, and their relative importance was determined using the AHP method. Consequently, in the first-tier factors, importance was confirmed in the order of 'Learning Activities', 'Teaching Activities', 'Learning Content', 'Assessment and Evaluations', and 'Learning Time and Space'. At the second-tier encompassing all factors, 'Pedagogical Strategy', 'Learning Results', 'Learning Tasks', 'Learning Goal', and 'Learning Support' emerged within the top five factors. These findings are significant in that they redefine the concept of smart learning and propose an academic framework for future research. Additionally, from a practical perspective, it is anticipated that this study will contribute valuable insights for HRD practitioners, aiding them in focusing on which factors to prioritize for enhancing and advancing Smart Learning initiatives.

• Informatization Policy
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• v.24 no.4
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• pp.79-92
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• 2017

As city functions develop more complex and advanced, interests in smart cities are also increasing. Smart cities refer to the cities effectively solving urban problems such as traffic, safety, welfare, and living issues by utilizing ICT. Recently, many countries are attempting to introduce big data, Internet of Things, and artificial intelligence into smart cities, but they have not yet developed into comprehensive urban services. In this paper, we review the current status of domestic and overseas smart cities and suggest ways to solve issues of data sharing and service compatibility. To this end, we propose a "Deep Learning City Framework" that incorporates the deep learning technology into smart city services, and propose a new smart city strategy that safely shares spatial and temporal data in cities and converges learning data of various cities.