• Title/Summary/Keyword: Mobile Learning

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Comparison of Machine Learning Tools for Mobile Application

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.360-370
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    • 2022
  • Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

Implement of Mobile Learning Contents using u-smart tourist information2.0 (u-스마트 관광정보2.0를 이용한 모바일 학습 콘텐츠 구현)

  • Sun, Su-Kyun;Lee, Seung-Woo
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.243-250
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    • 2015
  • Mobile learning content implementing is IT tourism convergence study that IT convergence IT and tourism. Learning to increase the effectiveness of mobile learning content for each learning module, It proposed u-smart tourist information 2.0 systems. Mobile learning content, implementation is u-smart tourist information 2.0 can use the system. Convergence/integration of design patterns and XML is so interesting to students. This is the maximum benefit which is taught classes for each learning module divided into learning the Design Pattern NCS. As a result, the learner. In particular, attendance has come out better the effect of learning and improved. Another advantage is tourism, information content information quality mobile learning content for and construct a tourist information content that you can do in real time. Also, mobile learning content, implementation in the next NCS expected to use a lot of help in learning. This study is the result of increased learning the analysis of the lessons learned. Implement mobile learning content gives fun and interesting to the learner to ten design process using the u-Smart Tourist Information class 2.0.

A Study on the Factors Affecting Intention on Continuous Use of Mobile Learning in Cyber University (이러닝과 연계된 모바일러닝에서 사이버대학생의 지속사용의도와 영향요인간 구조적 관계 분석)

  • Ju, Young ju;Shin, Eui Kyoung;Ham, Yu Kyoung
    • The Journal of Information Systems
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    • v.23 no.3
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    • pp.47-71
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    • 2014
  • The purpose of the present study is to verify the structural relationship among system quality, information quality, service quality, perceived ease of use, perceived usefulness, satisfaction, intention on continuous use of mobile learning in cyber university. For this study, W cyber university in Korea was chosen to conduct web survey. The subjects were 283 students who participated in W's cyber university courses. A hypothetical model was composed of system quality, information quality, service quality, perceived ease of use and perceived usefulness as exogenous variables, satisfaction and intention on continuous use of mobile learning as endogenous variables. The result of this study through structural equation modeling analysis is as follows: First, information quality only affect satisfaction, Second, perceived ease of use, perceived usefulness and satisfaction significantly affect intention on continuous use of mobile learning. These results imply that information quality should be considered for the design and development of mobile learning contents. Also, perceived ease of use, perceived usefulness and satisfaction is important to enhance intention on continuous use of mobile learning. This study proposes strategies for successful mobile learning in cyber university.

Multiple Reward Reinforcement learning control of a mobile robot in home network environment

  • Kang, Dong-Oh;Lee, Jeun-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1300-1304
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    • 2003
  • The following paper deals with a control problem of a mobile robot in home network environment. The home network causes the mobile robot to communicate with sensors to get the sensor measurements and to be adapted to the environment changes. To get the improved performance of control of a mobile robot in spite of the change in home network environment, we use the fuzzy inference system with multiple reward reinforcement learning. The multiple reward reinforcement learning enables the mobile robot to consider the multiple control objectives and adapt itself to the change in home network environment. Multiple reward fuzzy Q-learning method is proposed for the multiple reward reinforcement learning. Multiple Q-values are considered and max-min optimization is applied to get the improved fuzzy rule. To show the effectiveness of the proposed method, some simulation results are given, which are performed in home network environment, i.e., LAN, wireless LAN, etc.

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An exploration of relationship between mobile learning system quality and learning flow and satisfaction (모바일러닝 시스템 품질과 학습몰입 및 만족도 간의 관계 탐색)

  • Kwon, Youngae;Park, Hyejin
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.4
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    • pp.111-121
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    • 2020
  • This study analyzed the effects on system quality, learning commitment, and satisfaction in a mobile environment. A survey was conducted on 192 students enrolled in K University, and the research results are as follows. first, it was found that usefulness had an effect on learning commitment, but connectivity and reliability did not affect learning commitment. second, it was found that the usefulness and connectivity of the system quality had a significant effect on the satisfaction of use. third, the intermediary effect of learning immersion was verified as the connectivity, reliability, and usefulness of the system quality influence the satisfaction of use. connectivity and reliability had no mediating effect of learning commitment, and usefulness was found to play a partial mediating role in affecting user satisfaction. This study is meaningful in that it can provide a plan for improving the quality management of mobile learning and improving the learning effect by analyzing the effects on mobile learning from multiple perspectives.

The Analysis of Learners' Perception of Mobile Learning Materials (모바일 학습 자료에 대한 학습자 인식 분석)

  • Han, Hyeong-Jong
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.452-461
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    • 2020
  • The purpose of this study is to identify how learners perceive mobile technology-based learning materials. For this purpose, two methods were utilized. Using multi-dimensional scale(MDS), it was identified that how learners perceive each type of learning materials using mobile technology. Through semantic differential scale(SDS), learners' perception of the difference between mobile learning materials and existing traditional learning materials was analyzed. As a result, learning materials using mobile technology were classified into as follows : the dimension of interaction with the content; the sense of presence. Learners perceived that mobile learning materials had characteristics of 'active', 'learner-centric', 'multi-sensory', and 'stimulating interest'. The significance of this study was to empirically and comprehensively investigate learners' perception for the characteristics of various mobile learning materials.

An Effect on Satisfaction and Loyalty of the Characteristics in Mobile Learning: According to Gender (모바일 러닝의 특성이 만족과 충성도에 미치는 영향: 성별에 따른 분석)

  • Chung, Kyung-Soo;Lee, Won-Bin;Noh, Mi-Jin
    • The Journal of Information Systems
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    • v.19 no.3
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    • pp.75-103
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    • 2010
  • This study analyzes a model appling value in the mobile learning. We investigate the interaction, ease of use, hedonic value, and utilitarian value considering importance factors in the mobile learning, and the customer values are found to influence the customer satisfaction. We analysis a relationship between these factors and the customer satisfaction, and the relationship between the customer satisfaction and the loyalty. Finally, we research difference among gender of the satisfaction on the mobile learning. To fulfill this purpose, the research model was designed from literature review, and the structural equation modeling technique was used to evaluate hypotheses. The major results of this study are as follows. First, the ease of use, hedonic value, and utilitarian value positively influenced the satisfaction, and the satisfaction had positive influences on the customer loyalty. But the interaction didn't have positive influence on the satisfaction. Second, gender difference was found for some path coefficient. Male user's interaction and ease of use has effect on the satisfaction, and Female user's hedonic value and utilitarian value have influenced the satisfaction. When it consider the market share or the growth potential of the mobile learning industry, the results of this study will provide the useful information to manage mobile learning.

Effects of Mobile Phone Use on Aviation Students' English Learning (모바일폰 사용이 항공대학 학생들의 영어 학습에 미치는 영향)

  • Kim, Na-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.5
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    • pp.213-221
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    • 2019
  • The present study aims to investigate the effects of mobile phone use on aviation students' English language learning. Considering that affective factors have impacts on English language learning, this study focuses on confidence, motivation, and anxiety in English learning. For the current study, 46 college students were recruited. The participants were divided into one experimental group (n = 24) and one control group (n = 22) at random. During 16 weeks, the experimental group joined in chat via mobile phone while the control group did not. To understand the participants' experience of mobile phone use and to compare the attitudes towards English language learning, a survey was performed. Major findings are as follows: The experimental group showed more positive attitudes towards English learning than the control group did. Specifically, the participants who engaged in chat via mobile phone became more confident and motivated to learn English but less anxious about English learning. These results provide insights into the engagement in chat via mobile phone for aviation students' English learning. This study also suggests ways how CTL at universities can support their students' English language learning using mobile phones.

Design and Implementation of Multimedia Tutoring System for Mobile English Loaming (모바일 영어 학습을 위한 멀티미디어 교육 시스템의 설계 및 구현)

  • 김병규;이영석;조정원;최병욱
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1677-1680
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    • 2003
  • In this paper, we propose the multimedia tutoring system that provides multimedia learning contents for english Loaming on mobile environment. In order to design and implement the system, we have developed mobile multimedia contents from contents modeling based on the types of item, but also mobile interface to provide learning contents for learners effectively under limitation of mobile environment. The contents server in this system creates multimedia learning contents as XML document for each learner and provides those to learners through mobile interface using Wireless Application Protocol at anytime and anyplace.

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Development of a English Vocabulary Context-Learning Agent based on Smartphone (스마트폰 기반 영어 어휘 상황학습 에이전트 개발)

  • Kim, JinIl
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.344-351
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    • 2016
  • Recently, mobile application for english vocabulary learning is being developed actively. However, most mobile English vocabulary learning applications did not effectively connected with the technical advantages of mobile learning. Also,the study of mobile english vocabulary learning app are still insufficient. Therefore, this paper development a english vocabulary context-learning Agent that can practice context learning more reasonably using a location-based service, a character recognition technology and augmented reality technology based on smart phones. In order to evaluate the performance of the proposed agent, we have measured the precision and usability. As results of experiments, the precision of learning vocabulary is 89% and 'Match between system and the real world', 'User control and freedom', 'Recognition rather than recall', 'Aesthetic and minimalist design' appeared to be respectively 3.91, 3.80, 3.85, 4.01 in evaluation of usability. It were obtained significant results.