• Information Systems Review
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• v.25 no.1
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• pp.27-46
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• 2023

Research on restaurant recommender systems has been proposed due to the development of the food service industry and the increasing demand for restaurants. Existing restaurant recommendation studies extracted consumer preference information through quantitative information or online review sensitivity analysis, but there is a limitation that it cannot reflect consumer semantic preference information. In addition, there is a lack of recommendation research that reflects the detailed attributes of restaurants. To solve this problem, this study proposed a model that can learn the interaction between consumer preferences and restaurant attributes by applying deep learning techniques. First, the convolutional neural network was applied to online reviews to extract semantic preference information from consumers, and embedded techniques were applied to restaurant information to extract detailed attributes of restaurants. Finally, the interaction between consumer preference and restaurant attributes was learned through the element-wise products to predict the consumer preference rating. Experiments using an online review of Yelp.com to evaluate the performance of the proposed model in this study confirmed that the proposed model in this study showed excellent recommendation performance. By proposing a customized restaurant recommendation system using big data from the restaurant industry, this study expects to provide various academic and practical implications.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.235-242
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• 2013

Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.25-33
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• 2018

As the IT industry develops, The field of e-learning based on existing theoretical subjects has expanded to fields requiring actual education. Courses that require practical training in e-learning must be evaluated to have learning outcomes through on-line practice. In this research, a student at Cyber University mechatronics engineering studies 'PLC Control' and 'Servo Motor Control', which are subjects of the undergraduate major, through 'Prime College's CyberLAB' for learning by e-learning investigated whether there was a learning result. For this reason, CyberLAB was conducted. And for the students who took the course for two years, We confirmed through the 5 - point scale questionnaire and grades that the practical subjects had a significant effect on e - learning.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.37-46
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• 2019

The purpose of this study is to develop a flipped-learning based education model for vocational education and training. Based on previous studies, we have developed a training model that includes definitions of flipped-learning, major learning activities, and operational strategies in each occupation. In addition, delphi surveys were carried out to confirm the validity of the educational model for HRD and vocational education and training specialists. Finally, the flipped-learning model for vocational education and training consists of three stages: Pre-learning, Main-learning, and Post-learning. Pre-learning stage include Online lectures, Simple tasks, Main-learning stage include Active learning and Coaching-Debriefing lecture, Post-learning stage includes Individual reflection-Additional task performance activities. The educational model developed through this study was developed with the focus on improving the linkage and the performance of the goal of vocational education and training.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.23-30
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• 2017

This is a study on a case applying flipped learning to coding classes that is a college liberal arts course. A required coding class for the students who do not major in computers needs a teaching method differentiated from a coding education for training experts. The present study presented a flipped learning teaching model for the coding education of non-major students, and observed its effect and possibility. Flipped learning enables learners to learn with on-line contents anywhere and anytime they want and concentrate on practice education based on what they learned during class. Accordingly, the study sought for the solution to maximize the efficiency of teaching and learning through flipped learning. A pre and post surveys after applying a flipped learning to a practical class confirmed that the students taught using flipped learning were more positively assessed in learning satisfaction than those taught using a traditional method, and that in academic achievement as well, flipped learning was more effective.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.119-124
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• 2019

The purpose of this study is to introduce the NHK"NEWS WEB EASY"online site to intermediate level learners of Japanese language, and to teach effective methods of Blended Learning through the lesson planning method using "NEWS WEB EASY" Suggesting. First, this paper helped students cultivate various vocabulary learning ability through Blended Learning using "NEWS WEB EAS Y", Second, helped them learn about Japanese culture and Japan through various articles, Third, helped them naturally perform listening training through listening files, Fourth, helped them practice reading Kanji and improve vocabulary skills by distributing the files without Furigana to them for search, and Fifth, showed them how to improve speaking ability by reading practice through learning using "NEWS WEB EASY". We could learn the fact that the study helped students a lot understand Japan and improve their Japanese ability by learning news articles that they could not come across due to prejudice through learning using "NEWS WEB EASY".

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.183-192
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• 2023

This study analyzes the performance of flipped learning, an offline class method conducted in a degree-linked work-learning parallel system. Training in the work-study parallel system, which is conducted as part of job competency improvement, has thoroughly adhered to the offline method, but in line with COVID-19, unlike before, it is changing in the direction of using the online method more actively. However, educational methods such as flipped learning are not new because the degree-linked operation is applied to the academic system and education method of universities and is practically the same form as general university education. Therefore, it is necessary to analyze the educational performance and complementary points of flipped learning, which has recently been expanded in the degree-linked work-study parallel system, considering the characteristics of this system, in which classes are held only on weekends. As a result of statistical analysis based on the survey, some of the outcomes of flipped learning have been confirmed, and in order to increase the performances, it is necessary to continuously seek out specific measures to encourage learning and expand communication between instructors and students.

• Journal of The Korean Association of Information Education
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• v.10 no.2
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• pp.171-182
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• 2006

Science education in elementary school is mostly based on solving investigative tasks conducted by small groups on the basis of the inquiry activities such as experiments, observations, etc. Students should be able to draw conclusions from experiments and observations through their collaborative interactions by exchanging ideas. If learners use the advantages of Blended-Learning as a new pedagogical method comprehending merits of both off-line and on-line learning to complement off-line activities throughout the entire process, the interactions among them may be reinforced, and they would take part in the inquiry learning more actively. Accordingly, the proposed system can help children foster science inquiry learning effectively by using on-line communication facilities to arrange learners' diverse opinions and thoughts coming from off-line inquiry activity process. The result shows that the system enhanced learners' interest about science inquiry learning and improved their learning achievements by exchanging diverse opinions via the Web communication facilities.

• Journal of the Korea Institute of Building Construction
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• v.12 no.4
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• pp.426-432
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• 2012

For students majoring in Architecture or Architectural Engineering, describing a building with pictures and signs is equal to expressing his/her opinion with sentences and presentations. CAD (computer aided design) is a method of describing buildings, and is used practically in architecture-related companies. Many universities prescribe CAD instruction as a compulsory subject, and ABEEK (Accreditation Board for Engineering Education of Korea) requires an introduction to CAD as a basic subject for visual expression. The Architectural Drawing and CAD class in the department of Architectural Engineering of J University is a 2-credit course, with 4 hours of lectures per week. Relative to other subjects, this is insufficient for practical study. Thus, to make up for this insufficient time, the class has adopted a Blended learning system that mixes off-line and on-line classes. The objective of this research is to introduce Blended learning, and to give a case study of the CAD class using Blended learning.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.661-690
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• 2022

Adolescent delinquency is a substantial social problem that occurs in both offline and online domains. The current study utilized random forest algorithms to identify predictors of adolescents' online and offline delinquency. Further, we explored the applicability of classic delinquency theories (social learning, strain, social control, routine activities, and labeling theory). We used the first-grade and fourth-grade elementary school panels as well as the first-grade middle school panel (N=4,137) among the sixth wave of the nationally-representative Korean Children and Youth Panel Survey 2010 for analysis. Random forest algorithms were used instead of the conventional regression analysis to improve the predictive performance of the model and possibly consider many predictors in the model. Random forest algorithm results showed that classic delinquency theories designed to explain offline delinquency were also applicable to online delinquency. Specifically, salient predictors of online delinquency were closely related to individual factors(routine activities and labeling theory). Social factors(social control and social learning theory) were particularly important for understanding offline delinquency. General strain theory was the commonly important theoretical framework that predicted both offline and online delinquency. Findings may provide evidence for more tailored prevention and intervention strategies against offline and online adolescent delinquency.