• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.153-162
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• 2022

Relevance. Innovative activities in education should be aimed at ensuring the comprehensive development of the individual and professional development of students. The main idea of modular technology is that the student should learn by himself, and the teacher manages his learning activities. The advantage of modular technology is the ability of the teacher to design the study of the material in the most interesting and accessible forms for this part of the study group and at the same time achieve the best learning results. Innovative Moodle technology. it is gaining popularity every day, significantly expanding the space of teaching and learning, allowing students to study inter-faculty university programs in depth. The purpose of this study is to assess the quality of implementation of the e-learning system Moodle. The study was conducted at the South Ukrainian National Pedagogical University named after K. D. Ushinsky in order to identify barriers to the effective implementation of innovative distance learning technologies Moodle and introduce a new model that will have a positive impact on the development of e-learning. Methodology. The paper used a combination of theoretical and empirical research methods. These include: scientific analysis of sources on this issue, which allowed us to formulate the initial provisions of the study; analysis of the results of students 'educational activities; pedagogical experiment; questionnaires; monitoring of students' activities in practical classes. Results. This article evaluates the implementation of the principles of distance learning in the process of teaching and learning at the University in terms of quality. The experiment involved 1,250 students studying at the South Ukrainian National Pedagogical University named after K. D. Ushinsky. The survey helped to identify the main barriers to the effective implementation of modern distance learning technologies in the educational process of the University: the lack of readiness of teachers and parents, the lack of necessary skills in applying computer systems of online learning, the inability to interact with the teaching staff and teachers, the lack of a sufficient number of academic consultants online. In addition, internal problems are investigated: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure, and lack of innovative physical capabilities. The article allows us to solve these problems by gradually implementing a distance learning model that is suitable for any university, regardless of its specialization. The Moodle-based e-learning system proposed in this paper was designed to eliminate the identified barriers. Models for implementing distance learning in the learning process were built according to the CAPDM methodology, which helps universities and other educational service providers develop and manage world-class online distance learning programs. Prospects for further research focus on evaluating students' knowledge and abilities over the next six months after the introduction of the proposed Moodle-based program.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.199-206
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• 2009

The development of broadband multimedia content, a deaf sign language sign language is being used in education. Most of the content used in sign language training for Hangul word representation of sign language is sign language videos for the show. For the first time to learn sign language, sign language users are unfamiliar with the sign language characteristics difficult to understand, difficult to express the sign is displayed. In this paper, online, learning sign language to express the sign with reference to the attributes, Semantic Logic applying the sign language of multimedia content model for video-based platform is designed to study.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1659-1661
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• 2015

SW중심사회의 창의적 인재를 위한 핵심 역량 중 코딩능력에 대한 중요도가 높아지고 있다. 이러한 능력을 배양하기 위해서 학습자의 지식 형성을 웹 상에서 능동적으로 학습할 수 있는 온라인 코딩교육 시스템이 필요하다. 따라서 본 논문에서는 코딩능력에 대한 효과적인 학습과 효율적인 실습을 위해 자동화된 평가가 가능한 온라인 평가(online judge) 모듈 기반의 온라인 코딩 교육 시스템을 제안한다. 제안 시스템은 대학교의 C 프로그래밍 언어 수업에 적용되었으며, 시스템 상에서 166명이 학생이 46,288번의 코드 작성으로 61개의 실습과제를 수행하였다. 전체 학습자의 59.46%가 제안 시스템을 활용한 코딩 학습으로 학습 능력이 향상되었음을 응답하였다.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.740-751
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• 2021

To overcome the drawbacks of existing classes, this study developed a liberal arts education class model based on online-collaborative learning under the cloud based class environment. That will be the comprehensive model for classics reading, discussion education and foreign language education. This study started from the need of developing the college classes for embodying the collective intelligence. This course must be effective to maximize the educational effects and mutually interdisciplinary progress. Therefore, the offer of the applicable model will be able to establish collective intelligence and extend the educational effects. This study presented the proposed comprehensive model effects as follows: 1) this comprehensive model could create the learning environment so that individual intelligence may be converged into collective intelligence. 2) regarding their intellectual inquiry and the contents of thought, this model could activate the learners' participation in the discussion by mutually exchanging the feedbacks between teacher-learner and learner-learner. 3) cloud based online-collaborative learning environment could reduce learners' affective burden and overcome the drawback of offering the offline limited data. Thus, given these results, this model can be expected to allow us to draw the positive results in overall education fields along with liberal arts education, discussion education and foreign language education.

• Journal of Korean language education
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• v.29 no.2
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• pp.181-208
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• 2018

The aim of this study is to design a Real-time video Korean curriculum. Curriculum using real-time video, which is a variant of distance learning, teaches Korean to students studying in distant places through real-time video communication program. This is expected to supplement the lack of interaction in existing video classes and enable online simultaneous interaction, while increasing learning opportunities for Korean language students living in distance places. To find out the needs of the subjects for the curriculum design, this study conducted a one-on-one interview with 9 female married immigrants who are enrolled in the Cyber University which is opening a curriculum later. According to the survey, the students answered that they have a high intention of attending classes if the lack of interaction in existing distance classes are supplemented. Therefore, we could confirm the demand of a curriculum consisting of an overall real-time video education and multilateral individual connection. Also, we found out that there is a demand in performance rather than comprehension and a high demand for detailed feedback from the teacher. The result shows that the curriculum needs to establish performance-oriented contents to progress to an advanced level Korean Language, and include a study plain comprising of real-time interaction.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.83-92
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• 2018

Many studies in deep learning show results as good as human's decision in various fields. And importance of activation of online-community and SNS grows up in game industry. Even it decides whether a game can be successful or not. The purpose of this study is to construct a system which can read texts and create comments according to schedule in online-community and SNS using deep learning. Using recurrent neural network, we constructed models generating a comment and a schedule of writing comments, and made program choosing a news title and uploading the comment at twitter in calculated time automatically. This study can be applied to activating an online game community, a Q&A service, etc.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.192-198
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• 2023

Cyberbullying is a growing problem among adolescents and can have serious psychological and emotional consequences for the victims. In recent years, machine learning techniques have emerged as promising approach for detecting instances of cyberbullying in online communication. This research paper focuses on developing a machine learning models that are able to detect cyberbullying including support vector machines, naïve bayes, and random forests. The study uses a dataset of real-world examples of cyberbullying collected from Twitter and extracts features that represents the ideational metafunction, then evaluates the performance of each algorithm before and after considering the theory of systemic functional linguistics in terms of precision, recall, and F1-score. The result indicates that all three algorithms are effective at detecting cyberbullying with 92% for naïve bayes and an accuracy of 93% for both SVM and random forests. However, the study also highlights the challenges of accurately detecting cyberbullying, particularly given the nuanced and context-dependent nature of online communication. This paper concludes by discussing the implications of these findings for future research and the development of practical tool for cyberbullying prevention and intervention.

• Cross-Cultural Studies
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• v.29
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• pp.413-452
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• 2012

The purpose of this study is to examine and apply Blended Learning to Chinese reading class and give some suggestions for Chinese reading class for realizing the interactive model for reading. For learner's improvement in Chinese reading level, various teaching methods need to be applied to Chinese reading class. Among teaching methods, this article tried to apply Blened Learning in terms of interaction, because Blended Learning can follow the general trend that all of people use laptop, smartphone, etc., and also can be contribution to reading as performance in foreign language learning. As a result, Blended Learning can make learner prepare class for giving online contents, and can make teacher and learner have more chances of interaction in class for improving reading competence.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.132-138
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• 2022

Due to the impacts of the current pandemic COVID-19 and the continuation of studying online. There is an urgent need for an effective and efficient education platform to help with the continuity of studying online. Therefore, the question bank system (QB) is introduced. The QB system is designed as a website to create a single platform used by faculty members in universities to generate questions and store them in a bank of questions. In addition to allowing them to add two types of questions, to help the lecturer create exams and present the results of the students to them. For the implementation, two languages were combined which are PHP and Python to generate questions by using Artificial Intelligence (AI). These questions are stored in a single database, and then these questions could be viewed and included in exams smoothly and without complexity. This paper aims to help the faculty members to reduce time and efforts by using the Question Bank System by using AI and Natural Language Processing (NLP) to extract and generate questions from given text. In addition to the tools used to create this function such as NLTK and TextBlob.

• Educational Technology International
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• v.25 no.1
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• pp.1-25
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• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.