• Title/Summary/Keyword: Mobile Learning(M-Learning)

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Development and Application of a Mobile Anchor Program based on m-ARCS Model for Improving Concentration of Learning Disorder Students (학습 장애학생의 주의집중향상을 위한 m-ARCS 모형기반 모바일앵커프로그램의 개발과 적용)

  • Kim, Chul-Ho;Jun, Woo-Chun
    • Journal of The Korean Association of Information Education
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    • v.14 no.4
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    • pp.605-617
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    • 2010
  • In this paper, in order to improve concentration of learning disorder students, m-ARCS model is proposed. The m-ARCS model is based on the ARCS model that is the existing representative motivation support model. The model is designed on mobile environment, and to provide motivation and concentration to learning disorder students by allowing students to engage in various real-life activities. Based on the proposed m-ARCS model, a mobile anchor program is designed and implemented. The followings are concluded after applying the mobile anchor program to learning disorder students. First, students are highly motivated and concentrated by the program. Second, students gain confidence by feeling of success during their study. Third, their basic study ability is improved via the mobile anchor program activities

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M-Learning Systems Usage: A Perspective from Students of Higher Educational Institutions in Sri Lanka

  • SHAMEEM, Aliyar Lebbe Mohamed Abdul;SANJEETHA, Mohamed Buhary Fathima
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.637-645
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    • 2021
  • Mobile devices have become attractive learning devices for education. The digitalization of the higher education system in Sri Lanka by 2020 is part of the government's effort to modernize and enhance the country's overall education system particularly in view of the COVID-19 pandemic. Theoretically, this study contributes to the M-Learning model in higher education institutions via the integration of literature on technology adoption (TAM and UTAUT) with the variables of Perceived Usefulness, Perceived Ease of Use, Attitude, Effort Expectancy, Social Influence, and Facilitating Condition. The attitude towards M-Learning amongst higher education students was gauged via an online questionnaire survey. The convenience sample comprised 344 students from the Advanced Technological Institutes (ATI) in Batticaloa District, Sri Lanka. Descriptive statistics, a measurement, and structural model, and hypotheses testing were used to analyze the derived data. The findings indicate that mobile learning is significantly affected by perceived ease of use, social influence, effort expectancy, and facilitating condition, but negatively affected by attitude and perceived usefulness. The exhaustive literature review revealed that there are very few M-Learning studies related to digital learning in the context of higher education in the Batticaloa district.

Utilizing Mobile Phones for m-Iearning (휴대폰을 이용한 m-learning 구현)

  • Lee, Kyunm-Jic;Ryu, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.641-644
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    • 2006
  • e-learning에서 m-learning으로 진행함에 따라 기존에 사용하던 PDA, Notebook 이 아닌 일반 사용자들이 대부분 가지고 있는 휴대폰을 학습도구로 이용, 다양한 형식의 e-learning contents를 m-learning contents로 변환 활용하기 위하여 화면 capture 기법을 활용하고 무선통신망을 배제하고 유선통신망을 이용하여 서비스 할 수 있는 모델을 제시한다.

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Mobile Cloud Computing: Challenges for Mobile Learning (모바일 클라우드 컴퓨팅: 모바일러닝을 위한 도전)

  • Kook, Joong-kak
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.273-274
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    • 2013
  • 모바일 기술의 발전과 폭발적인 성장으로 모바일 서비스에 관심이 높아만 가고 있다. 최근 새로운 IT 트랜드로 모바일 클라우드 컴퓨팅(MCC: Mobile Cloud Computing)이 새롭게 떠오르고 있다. 특히, 모바일 러닝을 위한 미래의 새로운 IT 서비스가 기대되고 있다. 현재, 모바일 기기의 한계점(장애물) 때문에 극복해야 할 문제들이 산재해 있다. 이들 문제가 되는 잠재적인 장애물을 다루고 있다.

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Design and Implementation of Learning Evaluation Announce Systems using Mobile Learning Device (무선 학습 도구를 이용한 학습평가결과 안내시스템의 설계 및 구현)

  • Hyoung-Seok, Kim;Sun-Gwan, Han
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.81-88
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    • 2006
  • This study was about design and development of the 'Mobile Learning Evaluation Announced System'(MLEAS), which could operate the e-learning and send the result of that to the parents. From this, teachers and parents can communicate with each other dynamically. Especially, this system does not simply present results of students 'learning but provide the extra learning which can make up for students' wrong questions in the base of the evaluation standard. This paper suggests this total learning solution so that parents can perceive the state of their children's learning under the mobile learning environment.

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Applied Case and Development of m-Learning Class: Based on a Clinical Practice Class in the College of Nursing Science (m-Learning 수업 개발과 적용사례: 간호대학 임상실습 과목)

  • Kang, In-Ae;Lee, Seon-Ah;Kim, Won-Ock;Sok, So-Hyune R.;Hwang, Jee-In
    • The Journal of Korean Academic Society of Nursing Education
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    • v.14 no.1
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    • pp.63-72
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    • 2008
  • Purpose: This study focused on two aspects: 1) how to design and implement a mobile learning course which is facilitated by a PDA with a web-based class homepage as a tool for mobile learning; 2) how to increase and enhance interactive activities among and between the students and the faculty members by utilizing a PDA as a tool for communication as well as collaboration. Method: To analyze the results of the m-Learning course, data was collected from interviews with the involved two faculty members and a survey from 27 students. Result: The results showed a positive outcome of the m-Learning approach in terms of a more collaborative learning environment in a clinical course where the students practice their clinical activities out of the classroom, far from their faculty members. On the other hand, the problems of the m-Learning approach were that more thorough preparation was needed for the new tools from both the students and the faculty members in preparation in social, cultural, and mental aspects, not withstanding the assumed technical limits of a PDA. Conclusion: m-Learning must be more actively implemented in classes, even though several problems were noticed in terms of both technical aspects of the tools, and social and cultural aspects from the users.

Educational Paradigm Shift from E-Learning to Mobile Learning Toward Ubiquitous Learning

  • Gelogo, Yvette;Kim, Hye-jin
    • International Journal of Internet, Broadcasting and Communication
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    • v.4 no.1
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    • pp.8-12
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    • 2012
  • The purpose of this study is to review the possible effect of the learning paradigm shift from traditional method to ubiquitous learning. What are the societal issues that need to be address in order to design a new pedagogical platform trending from e-learning to m-learning and now the u-learning? That without the proper study of how learning environment may affect the learning process of an individual will lead to poor quality of education. This new era of learning environment offer a big opportunity for "anytime, anywhere" learning. Thus, Lifelong learning is at hand of everyone. Maximizing the benefit of new trend will be a great help and addressing the limitations will lead to quality education.

Multimedia Messaging Service Adaptation for the Mobile Learning System Based on CC/PP

  • Kim, Su-Do;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.11 no.6
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    • pp.883-890
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    • 2008
  • It becomes enabled to provide variety of multimedia contents through mobile service with the development of high-speed 3rd generation mobile communication and handsets. MMS (Multimedia Messaging Service) can be displayed in the presentation format which is unified the various multimedia contents such as text, audio, image, video, etc. It is applicable as a new type of ubiquitous learning. In this study we propose to design a mobile learning system by providing profiles which meets the standard of CC/PP and by generating multimedia messages based on SMIL language through the adaptation steps according to the learning environment, the content type, and the device property of learners.

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The Design and Implementation of a Platform Analyzer Model for Supporting Multi-platform Environment (다중 플랫폼 환경을 지원하기 위한 플랫폼 분석기 모델 설계 및 구현)

  • Chang, Byoung-Chol;Jung, Ho-Young;Lee, Yoon-Soo;Kim, Han-Il;Cha, Jae-Hyuk
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.225-233
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    • 2008
  • Rapid advancement information and communication technologies has introduced various dimension of e-Learning environment such as u-learning(ubiquitous learning), m-learning(mobile learning) and t-learning(television learning). These technologies enabled learners to access learning contents through variety of devices with more flexibility and consistency. In order to implement learning through these multiple environments, basically it is necessary to acquire and process the platform information that contains properties and status of the web-accessing devices. In this study, we introduce the design and implementation of a Platform Analyzer Model which is essential for learning systems that support multi-platform environment. We also present a Interactive DTV-Centered multi-platform learning environment framework using PC, PDA or Mobile phone. Finally, we will discuss the possibility of the multi-platform learning environment with sample scenario and contents.

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Effective Image Retrieval for the M-Learning System (모바일 교육 시스템을 위한 효율적인 영상 검색 구축)

  • Han Eun-Jung;Park An-Jin;Jung Kee-Chul
    • Journal of Korea Multimedia Society
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    • v.9 no.5
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    • pp.658-670
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    • 2006
  • As the educational media tends to be more digitalized and individualized, the learning paradigm is dramatically changing into e-learning. Existing on-line courseware gives a learner more chances to learn when they are home with their own PCs. However, it is of little use when they are away from their digital media. Also, it is very labor-intensive to convert the original off-line contents to on-line contents. This paper proposes education mobile contents(EMC) that can supply the learners with dynamic interactions using various multimedia information by recognizing real images of off-line contents using mobile devices. Content-based image retrieval based on object shapes is used to recognize the real image, and shapes are represented by differential chain code with estimated new starting points to obtain rotation-invariant representation, which is fitted to computational resources of mobile devices with low resolution camera. Moreover we use a dynamic time warping method to recognize the object shape, which compensates scale variations of an object. The EMC can provide learners with quick and accurate on-line contents on off-line ones using mobile devices without limitations of space.

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