• The Journal of Information Systems
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• v.30 no.2
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• pp.57-78
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• 2021

Purpose In this study, first, we try to make embedding results that reflect the characteristics of both professional and general documents. In addition, when disparate documents are put together as learning materials for natural language processing, we try to propose a method that can measure the degree of reflection of the characteristics of individual domains in a quantitative way. Approach For this study, the Korean Supreme Court Precedent documents and Korean Wikipedia are selected as specialized documents and general documents respectively. After extracting the most similar word pairs and similarities of unique words observed only in the specialized documents, we observed how those values were changed in the process of embedding with general documents. Findings According to the measurement methods proposed in this study, it was confirmed that the degree of specificity of specialized documents was relaxed in the process of combining with general documents, and that the degree of dissolution could have a positive correlation with the size of general documents.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.325-331
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• 2023

In this paper, we propose a mixed neural network structure of CNN and LSTM that can be used to detect or predict odor occurrence, which is most required in manufacturing industry or real life, using odor complex sensors. In addition, the proposed learning model uses a complex odor sensor to receive four types of data such as hydrogen sulfide, ammonia, benzene, and toluene in real time, and applies this data to an inference model to detect and predict odor conditions. The proposed model evaluated the prediction accuracy of the learning model through performance indicators according to accuracy, and the evaluation result showed an average performance of 94% or more.

• Communications for Statistical Applications and Methods
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• v.30 no.3
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• pp.331-341
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• 2023

Handling missing values in data analysis is essential in constructing a good prediction model. The easiest way to handle missing values is to use complete case data, but this can lead to information loss within the data and invalid conclusions in data analysis. Imputation is a technique that replaces missing data with alternative values obtained from information in a dataset. Conventional imputation methods include K-nearest-neighbor imputation and multiple imputations. Recent methods include missForest, missRanger, and mixgb ,all which use machine learning algorithms. This paper compares the imputation techniques for datasets with mixed datatypes in various situations, such as data size, missing ratios, and missing mechanisms. To evaluate the performance of each method in mixed datasets, we propose a new imputation performance measure (IPM) that is a unified measurement applicable to numerical and categorical variables. We believe this metric can help find the best imputation method. Finally, we summarize the comparison results with imputation performances and computational times.

• Educational Technology International
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• v.12 no.1
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• pp.1-20
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• 2011

The study described in this paper examined the effectiveness of a multimedia case-based learning environment to teach technology integration to Korean pre-service teachers. The structure and philosophy behind the use of embedded video in an online, multimedia system and the data collected from 103 pre-service teachers are presented and discussed. The overall finding shows that there was no significant difference from pre- to posttest among the lecture, the case-based, and the mixed environment groups. However, low prior knowledge students improved more when they learned about technology integration with the mixed method than with the case-based method alone. Discussion about this result and its educational implications conclude the paper.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.401-411
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• 2022

The purpose of this study was to identify the convergence factors influencing learning satisfaction of nursing students in the COVID-19 pandemic after applying non-face-to-face mixed classes consisted of both real-time and non-real time distance educations. The participants were 109 nursing students who attended in a university and completed the self-report questionnaire. Data were analyzed using the SPSS 23.0 program. The results showed that the learning flow was 3.41, self-regulated learning ability was 3.75, and learning satisfaction was 3.98. Learning satisfaction showed a positive correlation with learning flow (r=.42, p<.001) and self-regulated learning ability (r=.75, p<.001). In addition, the factors influencing the learning satisfaction of the subjects of this study were self-regulated learning ability (𝛽=.662) followed by 60.6% (F=25.63, p<.001). Therefore, to enhance learning satisfaction of nursing students, it is necessary to increase their self-regulated learning abilities and to develop and apply training program considering the needs of the educational environment change in the post-COVID-19 era.

• East Asian mathematical journal
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• v.39 no.4
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• pp.455-478
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• 2023

Expectations and interests in blended learning are increasing as universities respond to the educational flow of transition to e-lernring. This study tried to explore and understand the meaning of and the properties of blended instruction. In addition, through the literature review, this study was to find out how bleanded learning affected in teaching and learning situation. Particularly, it was to find out students' preference to the type of blended instruction. Those types are the mixed of or the unique of class instruction(off line), on line, and recorded instruction. To investigate learners' preference to the type of the instruction and also the reason of the preference, in this study, the 27 undergraduate students of the fourth grade in the major of mathematics education in the C university located in G area. By the result, most students preferred the mixed type of instruction involving off line and recorded instruction. The reason is that they could attend to the class while participating in the group activity positively and understand the content through the communication in depth and the instructor's feedback. Because of this reason, they did not prefer to the only one type insturction such as the recorded type.

• Research in Mathematical Education
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• v.25 no.2
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• pp.99-115
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• 2022

This study examined difficulties middle school students have in learning mathematics and proposed a flipped classroom consisting of Khan Academy activities, small-group problem solving, and mathematical modeling to help improve their learning. A mixed-method approach was used to identify difficulties students have in learning mathematics, explore how the flipped classroom helped them reduce the learning difficulties identified, and examine if there were differences in students' mathematics achievement and their affective characteristics after participating in the flipped classroom. Qualitative analyses showed that students had difficulties in understanding mathematical concepts and finding effective ways to learn as well as negative views towards learning mathematics. This study also found that each activity of the flipped classroom had a different impact on student learning. Before class, the Khan Academy activities were most likely to help students understand mathematical concepts. In class, small-group problem solving activities were most helpful for students who had trouble finding effective learning methods and environments. Mathematical modeling activities were most likely effective in changing students' negative views towards mathematics. A quantitative analysis showed that the flipped classroom not only significantly improved the students' mathematics achievement, but also positively affected their confidence and motivation and how much they valued learning mathematics.

• Educational Technology International
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• v.11 no.2
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• pp.123-148
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• 2010

Relationships between students' perception of psychological distance with online professors and their academic learning achievement and their intention to continue online learning were examined. The courses selected for this study are two online courses: 1) 'English Grammar' and 2) 'TOEIC (Test of English for International Communication) Preparation' offered by a campus-based, medium-sized university. This study employed a mixed-methods approach by conducting a survey as well as one-on-one interviews with students. Students who feel psychologically distant with the online professors show significantly lower degree of perceived learning achievement, and higher tendency not to take online courses any more. All the three scales measuring the psychological distance -mutual awareness, connectedness, and availability- with professors turned out to be significantly related with students' perceived learning achievement. According to the result of the interview data analysis, the student interviewees unanimously said that the university should limit the number of online courses that students can register in a semester to one or two courses. Most students regard low interactivity of online learning as inevitable phenomenon. There is a statistically significant difference in perceived learning achievement between the online preferred group and the offline preferred group. Also, there is a significant difference in connectedness and availability and no significant difference in the degree of mutual awareness between the online and the offline preferred group.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.36-41
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• 2020

In this study, a nursing management application for fourth-year students majoring in nursing at university was developed and practically applied in lectures. The application consists of an introduction, learning contents, and quiz contents. Nursing students downloaded and used it on their smartphones, such as iPhones and Android phones. The learning contents of a nursing management application include theoretical contents related to courses on nursing management and quiz contents comprising basic, advanced, and mixed quizzes based on the learning contents. Nursing students had access to this application on their smartphones and studied the contents provided regardless of time and space. Moreover, they were allowed to check their scores as soon as they selected and answered the questions included in the quiz contents. Nursing students used a nursing management application during and after lectures. We confirmed their learning process and learning results anytime and provided relevant feedback.

• Journal of the Semiconductor & Display Technology
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• v.9 no.4
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• pp.99-102
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• 2010

In this study, the 3- dimensional (3-D) learning contents are suggested using 'Augmented Reality' instead of existing 2-dimensional (2-D) learning methods. At the present, there are some 2-D learning methods using texts, image, pictures, and videos called e-learning. However, these one-way 2-D methods have some disadvantages such as declining learner's immersion and concentration. Thus, the 3-D learning contents using 'Augmented Reality' are suggested to compensate the disadvantages. According to the development of information technology (IT), the augmented reality has many applications to the era of ubiquitous. However, there are some disadvantages when learners use these contents as following; non-augmenting by partially hiding from makers and declining concentration by patterns of the makers. In this study, the beneficial marker which can solve this non-augmenting phenomenon is suggested.