• Title/Summary/Keyword: learning using ICT

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Metaverse Realistic Media Digital Content Development Education Environment Improvement Research

  • Kyoung-A, Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.3
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    • pp.67-73
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    • 2023
  • Under the influence of COVID-19, as a measure of social distancing for about two years and one month, non-face-to-face services using ICT element technology are expanding not only to the education sector but to all fields. In particular, as educational programs using the Metaverse platform spread to various fields, educators, and learners have more learning experiences using Edutech, but problems through non-face-to-face learning such as reduced immersion or concentration in education are raising In this paper, to overcome the problems raised through non-face-to-face learning and develop metaverse immersive media digital contents to improve the educational environment, we utilize VR (Virtual Reality) based on an immersive metaverse to provide education / Training contents and the educational environment was established. In this paper, we presented a system to increase immersion and concentration in educational contents in a virtual environment using HMD (Head Mounted Display) for learners who are put into military education/training. Immersion was further improved.

Applying Information and Communication Technologies as A Scope of Teaching Activities and Visualization Techniques for Scientific Research

  • Viktoriya L. Pogrebnaya;Natalia O. Kodatska;Viktoriia D. Khurdei;Vitalii M. Razzhyvin;Lada Yu. Lichman;Hennadiy A. Senkevich
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.193-198
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    • 2023
  • The article focuses on the areas of education activities in using techniques for teaching and learning with information and communication technologies (ICTs), researching and analyzing the available ICTs, gearing the technologies to the specific psychological and pedagogical conditions, independently building and modeling ICTs, enlarging and developing their use in the learning environment. The visualization of scientific research has been determined to be part of the educational support for building students' ICT competence during teaching and learning and is essential to the methodology culture. There have been specified main tasks for pedagogy technologies (PTs) to develop the skills of adaptability to the global digital space in students, their effective database operation and using the data bases as necessary elements for learning and as part of professional training for research. We provided rationalization for implementing the latest ICTs into the Ukrainian universities' curricula, as well as creating modern methods for using the technologies in the learning / teaching process and scientific activities.

Pedagogical Methodology of Teaching Activity-based Flow Chart for Elementary School Students (초등학생 대상의 활동 중심 순서도 교육 방법)

  • Lee, Yong-Bae;Park, Ji-Eun
    • Journal of The Korean Association of Information Education
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    • v.16 no.4
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    • pp.489-502
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    • 2012
  • Today computer education puts an emphasis on algorithm education. There are little researches about how to express the given problem in algorithm and how to interpret the expressed algorithm. In this study play-based learning methods dealing with flow chart which is one of the expressing tools of algorithm are developed for lower graders of elementary school. Then we diagnosed the learning possibility of the tool after applying the methods in a classroom environment. There are four types of learning game activities; sequential play, selective play, repetitive play and puzzle play. Puzzle play is a game that students need to reconstruct the learned content to a real flow chart by using flow chart cards. The result of an achievement test after teaching students flow chart showed that the group who took the play-based lesson got their average score with about 7.5% higher than the group who took the ICT-based lesson. Both the groups got their average scroe of more than 9 out of 10 after the lesson. This result shows that flow chart lessons are adaptable for the lower graders of elementary school. It also shows that play-based education can be exceptionally effective.

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Next-Generation Neuromorphic Hardware Technology (차세대 뉴로모픽 하드웨어 기술 동향)

  • Moon, S.E.;Im, J.P.;Kim, J.H.;Lee, J.;Lee, M.Y.;Lee, J.H.;Kang, S.Y.;Hwan, C.S.;Yoo, S.M.;Kim, D.H.;Min, K.S.;Park, B.H.
    • Electronics and Telecommunications Trends
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    • v.33 no.6
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    • pp.58-68
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    • 2018
  • A neuromorphic hardware that mimics biological perceptions and has a path toward human-level artificial intelligence (AI) was developed. In contrast with software-based AI using a conventional Von Neumann computer architecture, neuromorphic hardware-based AI has a power-efficient operation with simultaneous memorization and calculation, which is the operation method of the human brain. For an ideal neuromorphic device similar to the human brain, many technical huddles should be overcome; for example, new materials and structures for the synapses and neurons, an ultra-high density integration process, and neuromorphic modeling should be developed, and a better biological understanding of learning, memory, and cognition of the brain should be achieved. In this paper, studies attempting to overcome the limitations of next-generation neuromorphic hardware technologies are reviewed.

Reducing Rural-Urban Education Gap in Uganda Through ICT Appropriate Technology (우간다의 도시-농촌 간 교육 불균형 해소를 위한 ICT 적정기술)

  • Roh, Hyosun
    • Journal of Appropriate Technology
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    • v.7 no.1
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    • pp.33-40
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    • 2021
  • The government of Uganda, which belongs to East Africa, approved the National Vison Statement, "A transformed Ugandan society from a Peasant to a Modern and Prosperous Country within 30 years". However, the Uganda is facing the problem of unbalanced development between urban and rural area in spite of the government's efforts. In particular, the urban-rural education gap is emerging as a problem that could negatively affect national development plans. In this paper, we explain the reasons why Uganda's urban-rural educational imbalance is accelerating. In addition, we would like to introduce a way to reduce the educational imbalance by using appropriate technology of ICT such as the electronic library system.

A Study on the Use of ICT for Students' Active Class Participation: Focused on College English Reading Class (학생들의 능동적 수업참여를 위한 ICT 활용 연구 - 대학 영어 읽기 수업을 중심으로)

  • Choi, Mi-Yang
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.419-428
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    • 2017
  • This study investigates whether the use of smartphone and Facebook in the classroom induces students' active participation in their reading activities and what are the points to be considered when ICT-based English reading class is designed. Students in an English course, Practical English listening and reading, did their reading activities using their own smartphones and posted the results of the activities on Facebook. Smartphone was used primarily for web-browsing and Facebook as LMS. The pre-questionnaire was conducted to be referred to for designing activity tasks. The post-questionnaire and the interview with 10 students were conducted to identify how students perceive their class. The research results showed that the use of ICT induced students' active participation in their learning. As for the points to be considered, narrowing down the range of class activities, slowing down the pace of the class, explaining enough the goals and the steps of the activities, considering adopting campus LMS, and preparing solutions for cyberloafing were suggested.

Implementation of Fund Recommendation System Using Machine Learning

  • Park, Chae-eun;Lee, Dong-seok;Nam, Sung-hyun;Kwon, Soon-kak
    • Journal of Multimedia Information System
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    • v.8 no.3
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    • pp.183-190
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    • 2021
  • In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

Predicting the Fetotoxicity of Drugs Using Machine Learning (기계학습 기반 약물의 태아 독성 예측 연구)

  • Myeonghyeon Jeong;Sunyong Yoo
    • Journal of Life Science
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    • v.33 no.6
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    • pp.490-497
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    • 2023
  • Pregnant women may need to take medications to treat preexisting diseases or diseases that develop during pregnancy. However, some drugs may be fetotoxic and lead to, for example, teratogenicity and growth retardation. Predicting the fetotoxicity of drugs is thus important for the health of the mother and fetus. The fetotoxicity of many drugs has not been established because various challenges hinder the ability of researchers to determine their fetotoxicity. The need exists for in silico-based fetotoxicity assessment models, as they can modernize the testing paradigm, improve predictability, and reduce the use of animals and the costs of fetotoxicity testing. In this study, we collected data on the fetotoxicity of drugs and constructed fetotoxicity prediction models based on various machine learning algorithms. We optimized the models for more precise predictions by tuning the hyperparameters. We then performed quantitative performance evaluations. The results indicated that the constructed machine learning-based models had high performance (AUROC >0.85, AUPR >0.9) in fetotoxicity prediction. We also analyzed the feature importance of our model's predictions, which could be leveraged to identify the specific features of drugs that are strongly associated with fetotoxicity. The proposed model can be used to prescreen drugs and drug candidates at a lower cost and in less time. It provides a predictive score for fetotoxicity risk, which may be beneficial in the design of studies on fetotoxicity in human pregnancy.

On Developments of Teaching-Learning Contents and Constructivist Teaching Methods Using Mobile Applications Based on Augmented Reality in Mathematics Education (증강현실 기반 모바일 앱을 활용한 수학 교수·학습 콘텐츠 개발과 구성주의적 수업방안)

  • Kim, Byung Hak;Song, Jinsu;Park, Ye Eun;Jang, Yo Han;Jeong, Young Hun;Ahn, Jin Hee;Kim, Jun Hyuk;Go, Eunryeong;Jang, In Kyung
    • Communications of Mathematical Education
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    • v.33 no.3
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    • pp.207-229
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    • 2019
  • In the era of the Fourth Industrial Revolution, various attempts have been made to incorporate ICT technology into mathematics teaching and learning, and the necessity and efficiency of classroom instruction using flipped learning, virtual reality and augmented reality have attracted attention. This leads to an increase in demand for instructional contents and their use in education. Therefore, there is a growing need for the development of instructional contents that can be applied in the field and the study of teaching methods. In this point of view, this research classifies the types of teaching-learning, presents the flipped learning instruction and mathematics contents by teaching-learning types using constructivist mathematics education principles and augmented reality-based mobile applications. These methods and lesson plans can provide a useful framework for teaching-learning in mathematics education.

In the Digital Big Data Classroom Reality and Application of Smart Education : Learner-Centered Education using Edutech (디지털 빅데이터 교실에서 스마트교육의 실제와 활용 : 에듀테크를 활용한 학습자 중심 교육)

  • Kim, Seong-Hee
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.279-286
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    • 2021
  • In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.