• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.160-172
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• 2024

The characteristic aspects of learning a foreign language require special resources and tools for online learning. Criteria for choosing educational platforms depend on key elements of an academic subject area. Microsoft Teams (hereafter, MT) educational platform is competitive one because it meets most of the needs that arise during the formation of a secondary linguistic persona. Due to the large number of corporate programs, there are a successful acquisition of language skills and the implementation of all types of oral activities of students. A significant MT advantage is the constant analysis and monitoring of the platform of participants' needs in the educational process by developers. The article highlights MT advantages and disadvantages. The attention is drawn to individual programs, which, in the authors' opinion, are the most successful to learn writing, reading, speaking, listening, as well as organize classes that meet needs of modern foreign students.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.137-142
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• 2021

Distance learning universities provide online course content. The main methods of providing class contents are on-demand and live-streaming. This means that students are not restricted by time or space. The advantage is that students can take the course anytime and anywhere. Therefore, unlike commuting students, there is no commuting time to the campus, and there is no natural process required to take classes. However, despite this convenient situation, the attendance rate and graduation rate of distance learning universities tend to be lower than that of commuting universities. Although the course environment is not the only factor, students cannot obtain a bachelor's degree unless they fulfill the graduation requirements. In both commuter and distance learning universities, taking classes is an important factor in earning credits. There are fewer time and space constraints for distance learning students than for commuting students. It is also easy for distance learning students to take classes at their own timing. There should be more ease of learning than for students who commute to school with restrictions. However, it is easier to take a course at a commuter university that conducts face-to-face classes. I thought that the reason for this was that commuting to school was a part of the process of taking classes for commuting students. Commuting to school was thought to increase the willingness and motivation to take classes. Therefore, I thought that the inconvenient constraints might encourage students to take the course. In this research, I focused on the act of commuting to school by students. These situations are also applied to the distance learning environment. The students have physical time constraints. To achieve this goal, I will implement a course restriction method that aims to promote the willingness and attitude of students. Therefore, in this paper, I have implemented a virtual school system called "virtual go to school (VG2S)" that reflects the actual route to school.

• Journal of Korean society of Dental Hygiene
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• v.14 no.6
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• pp.961-966
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• 2014

Objectives: The purpose of the study was to investigate the classes of humanities and social sciences in the public health curricula. Methods: Data were collected through online received from 329 public health curricula from July to August, 2014. Categorized are introduction, management of hospital, medical health law, and ethics, patient psychology, others(communication, behavioral science, administration). The data were analyzed by a descriptive analyses and ${\chi}^2$-test(SPSS 12.0). Results: As a result of evaluate the classes of humanities and social sciences in the public health curriculum, 86.0% of department of occupational therapy, 71.4% of department of radiological technology and 72.6% of department of dental hygiene established more 4 classes. 92.1% of department physical therapy and 64.9% of department medical technology established more 5 credits. Numbers and credits of courses showed no differences by educational system. Conclusions: Humanities and social sciences are not popularly introduced in the most departments of public health sciences. Humanities and social sciences are very important and necessary for training competent future professionals in the public health sciences. So this study will provide the basic data for the introduction of humanities and social sciences in the public health curricula.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.1-9
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• 2022

In this study we conducted a research regarding the effect on learning immersion and perception of the learning environment by learning presence of students in the Department of aeronautical science and flight operation in the context of non-face-to-face lectures caused by COVID-19. The relationship between learning presence (cognitive presence, emotional presence, and social presence) and learning commitment showed a high correlation. The learning immersion was also found to increase when cognitive presence, emotional presence, and social presence increased in multiple regression analysis to find out the effects of cognitive presence, emotional presence, and social presence, which are sub-factors of learning presence. The advantage of non-face-to-face classes was to be the ease of learning, and the disadvantage of non-face-to-face classes was the most difficulty of the learning process in the content analysis of the non-face-to-face class environment.

• Journal of the Health Care and Life Science
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• v.9 no.1
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• pp.77-86
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• 2021

This study is a research study to determine the effect of online lecture substitution for subjects due to COVID-19 on self-directed learning ability, academic achievement, and online learning satisfaction of nursing students. From September to October 2020, the final 113 nursing students of data recovered as enrolled in the Department of Nursing at a university located in G City were analyzed. The data collected were analyzed by performing descriptive statistics and hierarchical regression analysis using the SPSS 21.0 program. The study results are summarized as follows. The average score of self-directed learning was 3.32±0.39, academic achievement 3.32±0.75, and learning satisfaction was 3.31±0.78. Factors affecting online learning satisfaction were found to be preferred learning methods and academic achievement. Based on the results of this study, it is necessary to design instruction and operate classes to improve online learning satisfaction by evaluating the learner's learning method in advance when running nursing school subjects as online lectures for nursing students.

• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.399-411
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• 2016

The purpose of this study is to investigate implications for future STEAM education by analyzing the surveys by the in-service teachers who participated in the Advanced STEAM Teacher Training Program(ASTTP) for raising interests and understanding of science and technology and nurturing STEAM literacy and problem-solving ability of students. ASTTP was developed for promoting 'teacher competence for STEAM.' ASTTP is a 60-hour program(4 credits), which includes offline intensive course of 38 hours, online training course of 12 hours, a course of implementation at schools for 5 hours, and a workshop for 5 hours (based on the 2014 program). For the offline intensive course, teachers take various professional development classes and activities, such as open-laboratory tours, advanced experiments, mentoring programs, and team projects as well as lectures on diverse disciplines. For the online course, teachers take online classes freely while they are encouraged to work with other teachers in groups. After taking both online and offline courses, the teachers are required to implement their STEAM lesson plans in their classrooms. Finally at the workshop, some selected teachers share how successfully they have implemented STEAM education. About 700 teachers have successfully taken the program from 2012 to 2014. Based on the surveys by the teachers, the program has been modified and improved. Our analysis shows increased professional development in STEAM education for the participating teachers. This study can provide some implication and helpful insights for people who need to develop and manage teacher training programs for STEAM education and other education programs in general.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.3
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• pp.171-177
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• 2011

The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.121-129
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• 2016

This study explains the fundamental problems of MOOC (Massive Open Online Course) based on major survey results for MOOC and online courses conducted in the United States. Consequently, this study integrates the following conclusions and suggestions on how to improve MOOC and convergence of MOOC and universities under the current IT technology. First, the division into small sized classes will solve the problem of massiveness with MOOC. The problem of openness will be solved by providing differentiated courses based on placement tests; and the weakness of onlineness can be complemented through Flipped Learning methodologies. Second, in convergence of universities and MOOC, there are two desirable approache s: credit-free courses use the improved MOOC suggested in this study while credit courses are conducted by Flipped Learning, based on core online courses within departments. In addition, the credit courses offer intensive and supplementary ones together if possible. Third, MOOC will be utilized more widely as it will offer differentiated courses and be produced by education-based universities.