• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

• The Journal of Society for e-Business Studies
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• v.20 no.2
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• pp.73-91
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• 2015

Nowadays, 'books' are not limited to tangible items no longer, but can be intangible digital contents, along with advancement in e-Book technology and the growth of the markets. However, the role of e-Book viewers that links digital contents and readers has been rarely studied. In this study, therefore, we examined the effects of e-Book viewer's system quality (ease-of-use, functional diversity, interactivity) and design quality (convenient design, intuitive design, emotional design) on user satisfaction, and also tested if these relations are different by the content types (cartoon, novel, and learning contents). Research findings show that all the independent variables, except for interactivity, affect user satisfaction in overall groups. In viewing cartoon content, ease-of-use, convenient design, and emotional design were significant antecedents, and intuitive design and emotional design were found important factors in novel content, while functional diversity and interactivity affect user satisfaction in learning content. We expect these findings can provide useful insights to the providers of e-Book viewers.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1297-1304
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• 2018

Online education, commonly referred to as distance education, has developed rapidly. However, it is questionable whether such distance education has been applied to various educational fields and has achieved satisfactory results in terms of learning effect. One of the reasons for not maximizing the benefits of distance education is non-dynamicity in the production and application of educational content. Educational contents production is made up of collaborative work between the instructor who is the contents expert and the developer who is the production expert. For this reason, existing researches have also concentrated on the improvement of each educational effect. In this paper, we propose to replace a production expert from a developer to an instructor. At this time, the important point is that the educational contents produced by the instructor, who is a development non-expert, should still be able to be maintained with high-quality contents utilizing the characteristics of the web. For this purpose, the production system was developed based on open source to maintain the quality similar to the educational contents developed by the production expert. This will increase the effectiveness of education by applying the developed Smart-Blended Learning System to various educational sites.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.263-283
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• 2024

Users' comments after online shopping are critical to product reputation and business improvement. These comments, sometimes known as e-commerce reviews, influence other customers' purchasing decisions. To confront large amounts of e-commerce reviews, automatic analysis based on machine learning and deep learning draws more and more attention. A core task therein is sentiment analysis. However, the e-commerce reviews exhibit the following characteristics: (1) inconsistency between comment content and the star rating; (2) a large number of unlabeled data, i.e., comments without a star rating, and (3) the data imbalance caused by the sparse negative comments. This paper employs Bidirectional Encoder Representation from Transformers (BERT), one of the best natural language processing models, as the base model. According to the above data characteristics, we propose the F_MixBERT framework, to more effectively use inconsistently low-quality and unlabeled data and resolve the problem of data imbalance. In the framework, the proposed MixBERT incorporates the MixMatch approach into BERT's high-dimensional vectors to train the unlabeled and low-quality data with generated pseudo labels. Meanwhile, data imbalance is resolved by Focal loss, which penalizes the contribution of large-scale data and easily-identifiable data to total loss. Comparative experiments demonstrate that the proposed framework outperforms BERT and MixBERT for sentiment analysis of e-commerce comments.

• The KIPS Transactions:PartA
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• v.10A no.3
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• pp.269-278
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• 2003

The popularity of the web based education has come the need for variety learning methods and for business to exploit the web not only for interoperability but also standardization. This way of standardization has come to researched for environments, contents and practical uses in ISO. The IEEE has special]y established five technical classes for LTSA which provide advanced e-learning environments. Feedback functions would not be supported and specified in standardization for Query Answer on LTSA. In this paper, we describe the query and answer model which we have developed on layer three of LTSA. We develop the redefined model for transforming data flow oriented into object or component based model. We have developed the Query Answer Metadata (QAM) based on Learning Object Metadata (LOM). We design and showed thing a prototyping implementation the Query Answer Learning Tool (QALT). We have used the QALT to address the problem of efficiency of web based education. We also used it to develop the related tools with quality and productivity.

• Communications of Mathematical Education
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• v.19 no.4 s.24
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• pp.769-785
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• 2005

The affirmative feature which web based learning and problem based learning in the self directed learning having on-line and off-line study it amalgamates in connection Blended Learning method and specially in mathematics subject as a service course. We introduce a model of BL lecture of Mathematics and tried to find a new way for the quality improvement of university education.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.71-81
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• 2007

This study is to design the web-based educational setting in industry to test the effectiveness of online teaching in Korea. Especially this study focuses on the impact of information technology on educational influence on employees in small and medium-sized enterprises (SME) because these experimental settings are differed from universities or large firms often called Jaebaels. The findings of the study are summarized as education setting especially personalization content materials greatly influences on the speed and quality of employees' learning. Also the positive attitudes of employees toward the learning environment correlate to the effectiveness of online learning in SME.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.33-48
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• 2020

By Digital Transformation, new technologies like ML (Machine Learning), Big Data, Cloud, VR/AR are being used to video streaming technology. We choose ML to provide optimal QoE (Quality of Experience) in various network conditions. In other words, ML helps DASH in providing non-stopping video streaming. In DASH, the source video is segmented into short duration chunks of 2-10 seconds, each of which is encoded at several different bitrate levels and resolutions. We built and compared the performances of five prototypes after applying five different machine learning algorithms to DASH. The prototype consists of a dash.js, a video processing server, web servers, data sets, and five machine learning models.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.171-177
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• 2002

E-Learning is a modem main teaching method starting from the concept of remote education. This research is aimed for proposing cyber education library system, and designing a cyber education component that becomes a basis for e-Learning system. Cyber education library is a storage system of cyber lectures that can supply high quality data to the needed developers. Cyber education component consists of 5 categories and those are text, voice, image, animation, and flash. By using this system, the developers can save the necessary time and effort in education development. This system also helps students. The students can access various lecture data on a given subject and select the best fit for them.

• Fourth Industrial Review
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• v.3 no.2
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• pp.19-26
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• 2023

Purpose - This study is to suggest a model of field education in the Assistant Nurses curriculum using edutech and to produce competent Assistant Nurses students reflecting the requirements of various medical fields. This model expects to upgrade the quality of the field education and to provide an Assistant Nurses school with standardized field education tools using edutech. Research design, data, and methodology - Throughout the review of the related thesis, most of them were studied on Assistant Nurses' job satisfaction, conflicts with other jobs in hospitals, and Assistant Nurses' job area in nursing hospitals. To study the current field education for Assistant Nurses students in hospitals, it used interviewing the heads of the hospital nursing department and reflecting on their interview results to develop the model of field education. Result - The field education model with edutech is processed with flipped class. Each area in flipped class is designed by applications and webs which is friendly to both teachers and students. Conclusion - This study presents a simple and easy process of field education using edutech. In the next study, it needs to find the precious results of comparison between students educated by the new model in field education in the Assistant Nurses' curriculum or not.