• 제목/요약/키워드: Learning Media

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Development of a Model for Winner Prediction in TV Audition Program Using Machine Learning Method: Focusing on Program (머신러닝을 활용한 TV 오디션 프로그램의 우승자 예측 모형 개발: 프로듀스X 101 프로그램을 중심으로)

  • Gwak, Juyoung;Yoon, Hyun Shik
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.155-171
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    • 2019
  • In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

Academic Procrastination As A Challenge For Students' Mental Health In The Context Of Distance Learning And The Virtual World During The Covid-19 Pandemic

  • Stoliarchuk, Olesia;Khrypko, Svitlana;Olga, Dobrodum;Ishchuk, Olena;Kokhanova, Olena;Sorokina, Olena;Salata, Karina
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.276-284
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    • 2022
  • The research aims to study the dynamics of academic procrastination and its impact on the mental health of students during the transition to distance learning during the COVID-19 pandemic. At the beginning of the COVID-19 pandemic, it was identified a declining tendency of overall rates of academic procrastination and at the same time increase in the number of carriers of mid and high levels of academic procrastination. The decline in the general rates of academic procrastination at the beginning of 2021 testifies to the adaptation processes experienced by students to the conditions of distance learning. It was documented that students' academic procrastination is accompanied by a steady negative emotional tension. During the transition to distance learning, the intensity of students' learning activity has increased, which altogether causes stress as one of the main reasons for the academic procrastination among future psychologists. The study identified a risk of academic procrastination manifestation among students for their mental health, which provides a basis for developing and testing a program to prevent the phenomenon of academic procrastination among degree-seeking students.

Extended Technology Acceptance Model for Enhanced Distribution Strategies to Online Learning: Application of Phantom Approach

  • Izzat ISMAIL;Asyraf AFTHANORHAN;Noor Aina Amirah MOHAMAD NOOR;Nurul Aisyah Awanis A RAHIM;Sheikh Ahmad Faiz Sheikh Ahmad TAJUDDIN;Muhammad Takiyuddin Abdul GHANI
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.1-10
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    • 2024
  • Purpose: This study is aimed to introduce the application of phantom approach with structural equation modelling method for online learning. By integrating these innovative methodologies, the research seeks to advance the understanding of how the phantom approach can effectively complement and augment structural equation modeling techniques. Research design, data and methodology: A theoretical framework of Technology Acceptance Model (TAM) was modified and updated. A questionnaire was developed and used to extract information from 189 instructors who used online learning as their primary medium. The Covariance Based Structural Equation Modelling (CBSEM) was applied to test the direct effects and the phantom approach is used to handle the 2 mediators in the model. Results:social influence, perceived usefulness, and perceived ease of use exerted discernible impacts on instructors' intentionsto engage in online learning. These findings illuminate the intricate dynamics influencing instructor behavior within the realm of online education, underscoring the significance of various factors in shaping their intentions. Conclusions: In additions, the perceived usefulness and perceived ease of use had mediated the effect of social influence and instructor intention using phantom approach. Therefore, one can have concluded that this modified model was also confirmed, thereby reinforcing distribution strategies to online learning and overall education presence.

Practical Study on Learning Effects of University e-Learning (대학 e-러닝 학습효과에 관한 실증연구)

  • Kim, Joon-Ho
    • Information Systems Review
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    • v.12 no.3
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    • pp.19-48
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    • 2010
  • This study focused on characterizing various factors in order for learners to maintain their interests in learning and to maximize learning effects as the top priority purpose of university e-Learning, on the basis of results of conceptual studies on existing e-Learning and practical studies, and then on examining them practically. It also analyzed which factors would have greater influence on learning effects of e-Learning in general. Moreover, in comparison with existing numerous studies which examined only factor such as learning effects of e-Learning, it analyzed such things in detail according to division into three items such as learning satisfaction, learning transfer and learning recommendation. To achieve such purposes of the study, it characterized and set 3 factors such as learning contents, instructional design and user convenience on the assumption that such factors have a significant influence on learning effects of e-Learning. Moreover, the factor of learning contents includes 3 detailed elements, i.e., learning issue and objective, knowledge information, and consistency and propriety, and the factor of instructional design includes 4 detailed elements, i.e., interest and sympathy, interaction, contents presentation and explanatory strategy. Lastly, the factor of user convenience includes 2 detailed elements such as screen configuration, and check-up of contents and teaching schedule. According to analytical results, it showed all 3 factors such as learning contents, instructional design and user convenience have a significant influence on learning effects of e-Learning(i.e., learning satisfaction, learning transfer and learning recommendation). In more detail, it showed the learning issue and objective from the factor of learning contents have the greatest influence on learning satisfaction of e-Learning. Then, it is the most important to set the learning issue and objective with given priority to learners and set the learning objective estimable, in order to raise the learning satisfaction. It showed the contents presentation from the factor of instructional design on the learning transfer. Therefore, it is the most important to structuralize mutual relation and presentation orders to promote learning systematically and to let learners access to such things, for the purpose of raising the learning transfer. Moreover, it showed the interest and sympathy from the factor of instructional design has the greatest influence on the learning recommendation. Thus, it is the most important to promote learners' interests to the maximum using well-timed media, and to give a lecture enough to arouse learners' sympathy.

The Convergence of Life and Technology from the Nurturing Perspective

  • Wierzbicki, Robert J.
    • International journal of advanced smart convergence
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    • v.3 no.1
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    • pp.7-10
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    • 2014
  • Upbringing requires an active intervention in the process of children growing up. Convergence in technology and media makes it possible to augment nurturing by making blended infrastructures with new digital resources available in learning environments at schools. A game-based provision of educationally-valuable content within a collective, virtual environment combined with an analysis of events in the game after it has been played (blended nurture environment) may help to better communicate human values especially where old-fashioned discussion methods fail or do not fulfill the promise of effective, educational institution-based methods of bringing up. This is where life sciences, psychology, media, pedagogy and technology (need to) converge.

Analysis of Visual Art Elements of Game Characters Illustrated by the Case of Glory of Kings

  • He, Yangyang;Choi, Chulyoung
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.213-219
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    • 2020
  • Visual art elements can most intuitively express the information expressed by a game character and play an important role in shaping a successful game character. We compares and analyzes the role design in the skins of the "Five Tiger-like Generals" series in Glory of Kings in terms of color, line, graphic and other visual elements. Different visual elements form different visual impacts and influences, which brings people different psychological feelings and presents different emotional colors. The reasonable use of visual elements gives people a refined visual experience and a comfortable psychological feeling, adding more influencing factors to the "immersion" of the game. It not only can strongly attract the attention and love of players, but also spreads traditional culture of the nation and the country. Therefore, whether the visual art elements of a game character can be appropriately used is an important part of the success of the game work. The analysis of visual art elements of game characters has important learning and research value.

Provenance and Validation from the Humanities to Automatic Acquisition of Semantic Knowledge and Machine Reading for News and Historical Sources Indexing/Summary

  • NANETTI, Andrea;LIN, Chin-Yew;CHEONG, Siew Ann
    • Asian review of World Histories
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    • v.4 no.1
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    • pp.125-132
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    • 2016
  • This paper, as a conlcusion to this special issue, presents the future work that is being carried out at NTU Singapore in collaboration with Microsoft Research and Microsoft Azure for Research. For our research team the real frontier research in world histories starts when we want to use computers to structure historical information, model historical narratives, simulate theoretical large scale hypotheses, and incent world historians to use virtual assistants and/or engage them in teamwork using social media and/or seduce them with immersive spaces to provide new learning and sharing environments, in which new things can emerge and happen: "You do not know which will be the next idea. Just repeating the same things is not enough" (Carlo Rubbia, 1984 Nobel Price in Physics, at Nanyang Technological University on January 19, 2016).

The effects of comics in modern society (현대사회에서 만화가 미치는 영향)

  • 진정식
    • Proceedings of the Korea Contents Association Conference
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    • 2003.11a
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    • pp.454-459
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    • 2003
  • Nowadays comic strip(or comics) has surpassed its limits as a role of humor and amusement. And it has firmly established its role as a kind of public information and mass media. Furthermore it is used as materials for effective learning and human nature education to prevent the problems caused by rapid changes, and means to lessen or relax stress. The author will examine the specific ability, characteristics and potential of comics in this modem society. This paper will discuss the results caused by comic strip and show the possibility that comics can achieve the aim as a mass media

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Development of Standard Multimedia Studio for Primary and Secondary Educational Contents (초·중등학교 교육용 멀티미디어 컨텐츠의 활용과 표준 개발 환경)

  • Ahn, Mi-Lee;Hwang, Dae-Jun
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.2 no.1
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    • pp.1-15
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    • 2002
  • New media is an emerging industry sector. It sits at the nexus of what has become a main vehicle of the Knowledge Based Economy. the crossroads where the use of interactive multimedia technology meets the traditional uses of media. The current Education information Act provided school with PC, multimedia labs and connection to internet. Having such a facility in schools encourage teachers and students to use computers more often. Teachers demand for more educational multimedia contents than they can find in the market. Although there are many good contents, teachers find them unfit or inflexible for their curriculum. The purpose of this study is to identify the elements of standard multimedia studio facilities to develop multimedia contents in primary and secondary schools. The result of this study will provide guidelines for schools to facilitate their multimedia studio for teaching and learning activities, and developing contents for effective use of their facilities.

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Gesture recognition with wearable device based on deep learning (딥러닝 기반의 웨어러블 디바이스에서의 제스처 인식)

  • Byeon, Seong-U;Lee, Seok-Pil;Kim, Geon-Nyeon;Han, Sang-Hyeon
    • Broadcasting and Media Magazine
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    • v.22 no.1
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    • pp.10-18
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    • 2017
  • 본 연구는 비접촉식 센서 기반의 웨어러블 디바이스를 이용한 딥러닝 기반의 제스처 인식에 대한 연구이다. 이를 위하여 Flexible MSG 센서를 기반으로 한 Flexible Epidermal Tactile Sensor를 사용하였으며, Flexible Epidermal Tactile Sensor는 손, 손가락 제스처를 취했을 때 손목, 손가락과 연결되어 있는 근육들의 움직임에 따라 발생하는 피부 표면의 전극을 취득하는 센서이다. 실험을 위하여 7가지 손, 손가락 제스처를 정의하였으며, 손목의 꺾임, 손목의 뒤틀림, 손가락의 오므림과 펴짐, 아무 동작도 취하지 않은 기본 상태에 대한 제스처로 정의하였다. 실험 데이터 수집에는 손목이나 손가락에 부상, 장애등이 없는 일반적인 8명의 참가자가 참가하였으며 각각 한 제스처에 대하여 20번씩 반복하여 1120개의 샘플을 수집하였다. 입력신호에 대한 제스처를 학습하기 위해 본 논문에서는 1차원 Convolutional Neural Network를 제안하였으며, 성능 비교를 위해 신호의 크기를 반영하는 특징벡터인 Integral Absolute Value와 Difference Absolute Mean Value를 입력신호에서 추출하고 Support Vector Machine을 사용하여 본 논문에서 제안한 1차원 CNN과 성능비교를 하였다. 그 결과 본 논문에서 제안한 1차원 CNN의 분류 정확도가 우수한 성능을 나타냈다.