• International journal of advanced smart convergence
• /
• 제8권2호
• /
• pp.8-17
• /
• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• International Journal of Computer Science & Network Security
• /
• 제23권12호
• /
• pp.167-174
• /
• 2023

Electronic educational environments in the conditions of quarantine restrictions of COVID-19 have become a common phenomenon for the organization of distance educational activities. Under the conditions of Russian aggression, Ukrainian proof of their use is unique. The purpose of the article is to analyze the role of electronic educational environments in the process of training applicants for higher education in Ukraine in the realities of a large-scale war. General scientific methods (analysis, synthesis, deduction, and induction) and special pedagogical prognostic methods, modeling, and SWOT analysis methods were used. In the results, the general properties of the Internet educational platforms common in Ukraine, the peculiarities of using the Moodle and Prometheus platforms, and an approximate model of the electronic learning environment were discussed. The reasons for the popularity of Moodle among Ukrainian universities are analyzed, but vulnerable elements related to security are emphasized. It was also determined that the high cost of Prometheus software and less functionality made this learning environment less relevant. The conclusions state that the military actions drew the attention of universities in Ukraine to the formation of their own educational platforms. This is especially relevant for technical and military institutions of higher education.

• International Journal of Computer Science & Network Security
• /
• 제21권11호
• /
• pp.97-104
• /
• 2021

The authors provide characteristics of the open educational platforms, classification and quantitative analysis regarding the availability of IT courses, teaching language, thematic directions on the following platforms: Coursera, EdX, Udemy, MIT Open Course Ware, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Open University of Maidan (OUM). The quantitative analysis results are structured and visualized by tables and diagrams. The authors propose to use open educational resources (teaching, learning or research materials that are in the public domain or released with an intellectual property license that allows free use, adaptation, and distribution) for organization of independent work; for organization of distance or correspondence training; for professional development of teachers; for possibility and expediency of author's methods dissemination in the development of their own courses and promoting them on open platforms. Post-project activities are considered in comparing the courses content of one thematic direction, as well as studying the experience of their attending on different platforms.

• STI Policy Review
• /
• 제6권1호
• /
• pp.70-84
• /
• 2015

The paper discusses technology platforms as an instrument of science, technology and innovation policy in light of their use in industrial R&D. The authors assert that the technology platforms approach as a policy concept refects special organizational and institutional features learned from industrial technology platforms. The characteristics of industrial technology platforms are reviewed, and their impact on the organization of research, development and innovation activities in companies is explored. Second, the industrial technology platform is examined in the context of European Technology Platforms and the recent initiative for technology platforms in Russia. Finally, the technology platform concept implications for the STI policy context are discussed.

• 한국수학교육학회지시리즈E:수학교육논문집
• /
• 제36권3호
• /
• pp.417-438
• /
• 2022

본 연구의 목적은 개별화 맞춤형 수학 학습을 지원하는 AI 기반 플랫폼 활용 시 고려해야 할 교수·학습에 관한 시사점을 제안하는 것이다. 이를 위해 국내·외 공교육에서 활용되고 있는 플랫폼 5개(똑똑!수학탐험대, 노리AI스쿨수학, 칸 아카데미, MATHia, CENTURY)를 분석대상으로 선정하여, AI 기반 수학교육 플랫폼이 개별화 맞춤형 학습을 지원하기 위한 세 가지 요소(PLP, PLN, PLE)를 어떻게 반영하고 있는지를 분석하였다. 그 결과, 각 플랫폼에서 구현하고 있는 PLP, PLN, PLE의 특징은 다양했지만, PLP와 PLN을 바탕으로 학습자가 자율적으로 학습에 대한 의사결정을 내릴 수 있는 PLE를 형성할 수 있도록 설계된 것으로 분석되었다. 본 연구의 의의는 AI 기반 수학교육 플랫폼을 활용하는 개별화 맞춤형 수학 학습에 대한 이해도와 실천 가능성을 높였다는 데에서 찾을 수 있다.

• International Journal of Computer Science & Network Security
• /
• 제21권9호
• /
• pp.169-172
• /
• 2021

The article discusses the results of a quantitative analysis of open educational resources in the field of information technology. Study is based on a study of the content of ten platforms that provide access to open resources (OPs). To achieve this goal, we used the following methods: theoretical analysis and generalization of Internet sources to determine the popularity of educational platforms and resources on them; quantitative data analysis to determine the relative proportion of IT courses in various parameters: the relative weight of courses in the IT field in general and on each platform in particular, the language of instruction, the quantitative content by thematic areas. The following platforms providing access to open educational resources were subjected to quantitative analysis: Coursera, Edx, Udemy, MIT OpenCourseWare, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Maidan Open University.

• International Journal of Computer Science & Network Security
• /
• 제22권2호
• /
• pp.23-28
• /
• 2022

The present study has been conducted to evaluate the experience in using peer-to-peer platforms and immersive technologies in the training of future masters of pharmacy from the Pharmaceutical Faculty of Bogomolets National Medical University, Ukraine. The selected participants were given the pre- and post-test containing multiple choice questions to assess the effectiveness of immersive technologies. Further, a self-designed structured questionnaire contained 10 questions with 5 options was delivered to consented participants through email and WhatsApp. The results of test presented that students attained an average of 26% in their pre-test while the average attained score post-test was 74% that showed a significant improvement with peer-to-peer platforms and virtual reality technology. The results of survey questions also showed an overall 86.73% satisfaction for the use of peer-to-peer platforms and virtual reality technology in the training of future masters of pharmacy. These results demonstrated that 90.81% showed agreement that they gained a high level of confidence through peer-to-peer platforms and virtual reality to handle patients in clinical practice. It can be concluded that participants of this study showed a strong agreement with positive experience in using peer-to-peer platforms and virtual reality technology in the training of future masters of pharmacy in medical lyceum.

• 실천공학교육논문지
• /
• 제15권2호
• /
• pp.357-364
• /
• 2023

인공지능 기술의 급속한 발전으로 인해 생성형 인공지능 플랫폼은 다양한 분야에서 혁신적인 활용이 이루어지고 있다. 본 논문에서는 인공지능을 교육에 활용한 연구사례, 생성형 인공지능 플랫폼이 컴퓨터그래픽 영역에 활용된 사례를 살펴보고, 생성형 인공지능 교육 방향성에 대해 논의하였다. 컴퓨터그래픽에서 이미지 생성과 편집, 영상편집에 활용 가능한 생성형 인공지능 플랫폼을 소개하고, 영상편집 제작과정에 적용할 수 있도록 활용방법을 제안하였다. 이러한 생성형 인공지능 플랫폼은 제작공정에서 창작자의 수고를 덜고, 시간을 단축시킨다는 효율성 측면에서도 장점뿐만 아니라 개인의 역량을 증진할 수 있다. 컴퓨터그래픽 제작에 있어 생성형 인공지능 플랫폼은 다양한 변화를 가져다 주었다. 그런 변화를 살펴보고 생성형 인공지능 플랫폼을 활용한 창작 교육에 방향성을 제시하고자 한다.

• International Journal of Computer Science & Network Security
• /
• 제24권1호
• /
• pp.133-139
• /
• 2024

The educational situation, which resulted from the announced self-isolation regime, intensified the forced decisions on the organization of the distance educational process. The study is topical because of the provision of distance learning based on the experience of Kyiv National University of Culture and Arts. The study was conducted in three stages. Systemic, socio-communicative, competence approaches, sociological methods (questionnaires and interviews) were chosen as methodological tools of the research. The results of a survey of teachers and entrants to higher education institutions on the topic "Using social networks and digital platforms for online classes under the conditions of quarantine restrictions" allowed to scientifically substantiate the need for deeper knowledge of such tools as Google Meet (79%), Zoom (13.78%) and Google Classroom (11.62%), which are preferred by entrants. Almost a third of entrants (34.26%) noted the lack of scientific and methodological support for learning the subjects. The study showed high efficiency of messengers in distance education. The study found that in the process of organizing communication in the student-teacher system, it is necessary to take into account the priority of Telegram on the basis of which it is necessary to implement a chatbot for convenient and effective exchange of information about the educational process. Further research should focus on the effectiveness of the use of Telegram. The effectiveness of using chatbots should also be considered. Chatbots can be used to automate routine components of the learning process.

• Educational Technology International
• /
• 제24권2호
• /
• pp.115-141
• /
• 2023

The aim of this research is to understand the perceptions of primary and secondary teachers regarding educational resource sharing systems(ERS) by using a qualitative approach. This study conducted Focus Group Interview(FGI) with 20 primary and secondary school teachers. Interview data were analyzed through inductive content analysis method. The results are as follows. First, teachers placed significant emphasis on high-quality, convenient functions, and reward system for sharing resources. Specifically, teachers identified the necessity for a diverse array of materials, systematic categorization of these resources, and the provision of monetary compensation as essential components. Second, the study participants advocated strategies for revitalizing ERS including enhancing accessibility, constructing user-friendly features, increasing awareness, and establishing a reward system to incentivize the resource sharing. In particular, teachers proposed strategies such as developing mobile-based services and AIdriven data recommendation system. These results provide actionable insights for stakeholders engaged in the design, implementation, and evaluation of resource sharing platforms.