• 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.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.331-337
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• 2022

Smart learning is augmented with digital, context-aware, and adaptable technologies to encourage students to learn better and faster. To ensure that digital learning is successful and that implementation is efficient, it is critical that the dimensions of digital learning are arranged correctly and that interactions between the various elements are merged in an efficient and optimal manner. This paper builds and discusses a basic framework for smart learning in the digital age, aimed to improve students' abilities and performance in learning. The proposed framework consists of five dimensions: Teacher, Technology, Learner, Digital content, and Evaluation. The Teacher and Learner dimensions operate on two levels: (a) an abstract level to fit in knowledge and skills or interpersonal characteristics and (b) a concrete level in the form of digital devices used by teachers and learners. Moreover, this paper proposes asynchronous online course delivery model. An Arabic smart learning platform has been developed, based on these smart learning core dimensions and the asynchronous online course delivery model, because despite the official status of this language in many countries, there is a lack of Arabic platforms to teach Arabic. Moreover, many non-native Arabic speakers around the world have expressed an interest in learning it. The Arabic digital platform consists of over 70 lessons classified into three competence levels: beginner, intermediate, and advanced, delivered by Arabic experts and Arabic linguists from various Arab countries. The five dimensions are described for the Arabic platform in this paper. Learner dimension is the Arabic and non-Arabic speakers, Teacher dimension is Arabic experts and Arabic linguistics, Technology dimension consists of technology for Arabic platform that includes web design, cloud computing, big data, etc. The digital contents dimension consists of web-based video, records, etc. The evaluation dimension consists of Teachers rating, comments, and surveys.

• 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.

• The Journal of Information Systems
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• v.26 no.3
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• pp.273-293
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• 2017

Purpose The purpose of this study is to introduce a framework that helps Muslims to determine whether a food can be consumed. It can complement existing Halal food classification services having a difficulty of constructing Halal food database. Design/methodology/approach The proposed framework includes two components. First, OCR(Optical Character Recognition) technique is utilized to read the food additive information. Second, machine learning methods were used to trained and predicted to determine whether a food can be consumed using the provided information. Findings Among the compared machine learning methods, SVM(Support Vector Machine), DT(Decision Tree), and NB(Naive Bayes), SVM with linear kernel and DT had excellent performance in the Halal food classification. The framework which adopting the proposed framework will enhance the tourism experiences of Muslim tourists who consider keeping the Islamic law most importantly. Furthermore, it can eventually contribute to the enhancement of smart tourism ecosystem.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.159-166
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• 2018

The ICT convergence and intelligence information technology has many influences on the whole smart society in the $4^{th}$ industrial revolution era. However, preparations degree of our country is not high as for the intelligence information technology. It is not easy to adopt a new technology on education for cultivating the creative future human resources to match a pace with intelligent smart society. In addition, it is hard work to find and derive the appropriate technology for education because proper and effective proof includes much difficulties. Therefore, this study develop the e-learning standard technology framework through the derivation of educational standard technology element and the suggestion of medium and long term standardization framework for the intelligence information society.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.357-372
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• 2012

Existing e-learning systems not only require complex admission processes but also do not give stepwise education methods according to individual learners' characteristic. These circumstances cause learners to lose educational interest so that their educational efficiency decreases. In particular, the present e-learning systems do not provide educational approaches suitable for infant and elementary children. Under this system, the e-learning education for children does not proceed completely without guardians. To solve this problem, we design and implement an English e-learning system for elementary children based on friendly and comfortable user interfaces. For children, the proposed system reflects their age and individual interesting per each e-learning stage. This system supports both the Web application platform and smart phone application platform for various client requirements. The proposed system manages 3 classes as English learning content. Learners can experience their own English e-learning course in each class, which is compiled by current educational ability. In addition to the general functions in e-learning system, the proposed system develops content buffering algorithm to reduce data traffic in server.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.67-76
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• 2011

In this paper, a touch interface of a smart device using, learner controlled by three-dimensional learning content for more realistic learning environment will be constructed. Fabrication of three-dimensional learning content is difficult. So teachers and learners to create content and share content, a framework was designed. The framework consists of an XML language and intuitive. Android-based devices are available from the playback and authoring. Server environment for content sharing was established. The proposed framework is verified through expert evaluation. In result, it was positively evaluated in terms of usability.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.19-31
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• 2016

With the development of information and communication technologies, a new paradigm in higher education is required. Accordingly, establishing a smart campus has emerged as an important issue in universities worldwide. This study aims to discuss key issues and to provide useful academical and practical implications on smart campus by reviewing related literatures. For this purpose, this study examined recent literatures on smart campus by four research perspectives; 1) learning/knowledge-centric approach, 2) technology-centric approach, 3) integrated approach, and 4) user-centric approach, then developed smart campus framework. Smart campus user criteria contained members of university as well as local community and business stockholders. Smart campus framework presented specific service areas each belongs to smart education, smart life and smart administration domains and motivating factors of using smart campus. Moreover, by considering key issues and problems raised in previous studies, this study suggested practical implications for successful development of smart campus.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2591-2611
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• 2020

Botnets have become one of the most significant threats to Internet-connected smartphones. A botnet is a combination of infected devices communicating through a command server under the control of botmaster for malicious purposes. Nowadays, the number and variety of botnets attacks have increased drastically, especially on the Android platform. Severe network disruptions through massive coordinated attacks result in large financial and ethical losses. The increase in the number of botnet attacks brings the challenges for detection of harmful software. This study proposes a smart framework for mobile botnet detection using static analysis. This technique combines permissions, activities, broadcast receivers, background services, API and uses the machine-learning algorithm to detect mobile botnets applications. The prototype was implemented and used to validate the performance, accuracy, and scalability of the proposed framework by evaluating 3000 android applications. The obtained results show the proposed framework obtained 98.20% accuracy with a low 0.1140 false-positive rate.

• 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.