Sample records for mobile learning system

  1. Realizing Outdoor Independent Learning with a Butterfly-Watching Mobile Learning System

    ERIC Educational Resources Information Center

    Chen, Yuh-Shyan; Kao, Tai-Chien; Sheu, Jang-Ping

    2005-01-01

    In this article, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a cognitive tool with supporting the independent…

  2. A Service Oriented Architecture to Integrate Mobile Assessment in Learning Management Systems

    ERIC Educational Resources Information Center

    Riad, A. M.; El-Ghareeb, H. A.

    2008-01-01

    Mobile Learning (M-Learning) is an approach to E-Learning that utilizes mobile devices. Learning Management System (LMS) should enable M-Learning. Unfortunately, M-Learning is not the same at each educational institution. Assessment is one of the learning activities that can be achieved electronically and via mobile device. Mobile assessment…

  3. Adaptive Device Context Based Mobile Learning Systems

    ERIC Educational Resources Information Center

    Pu, Haitao; Lin, Jinjiao; Song, Yanwei; Liu, Fasheng

    2011-01-01

    Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for…

  4. Design of a Microlecture Mobile Learning System Based on Smartphone and Web Platforms

    ERIC Educational Resources Information Center

    Wen, Chuanxue; Zhang, Junfei

    2015-01-01

    This paper first analyzes the concept and features of microlecture, mobile learning, and ubiquitous learning, then presents the combination of microlecture and mobile learning, to propose a novel way of micro-learning through mobile terminals. Details are presented of a microlecture mobile learning system (MMLS) that can support multiplatforms,…

  5. Developing a Mobile Learning Management System for Outdoors Nature Science Activities Based on 5E Learning Cycle

    ERIC Educational Resources Information Center

    Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng

    2015-01-01

    Traditional outdoor learning activities such as inquiry-based learning in nature science encounter many dilemmas. Due to prompt development of mobile computing and widespread of mobile devices, mobile learning becomes a big trend on education. The main purpose of this study is to develop a mobile-learning management system for overcoming the…

  6. The use of a mobile assistant learning system for health education based on project-based learning.

    PubMed

    Wu, Ting-Ting

    2014-10-01

    With the development of mobile devices and wireless technology, mobile technology has gradually infiltrated nursing practice courses to facilitate instruction. Mobile devices save manpower and reduce errors while enhancing nursing students' professional knowledge and skills. To achieve teaching objectives and address the drawbacks of traditional education, this study presents a mobile assistant learning system to help nursing students prepare health education materials. The proposed system is based on a project-based learning strategy to assist nursing students with internalizing professional knowledge and developing critical thinking skills. Experimental results show that the proposed mobile system and project-based learning strategy can promote learning effectiveness and efficiency. Most nursing students and nursing educators showed positive attitudes toward this mobile learning system and looked forward to using it again in related courses in the future.

  7. A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

    ERIC Educational Resources Information Center

    Su, C-H.; Cheng, C-H.

    2015-01-01

    This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…

  8. An Integrated Learning Management System for Location-Based Mobile Learning

    ERIC Educational Resources Information Center

    Sailer, Christian; Kiefer, Peter; Raubal, Martin

    2015-01-01

    This paper discusses the relevance and challenges of a location-based learning platform that supports mobile learning in education. We present the design of an integrated management system for location-based mobile learning. Independent of the taught subject, the objective of the system is an easy-to-understand user interface for both - teachers…

  9. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    ERIC Educational Resources Information Center

    Shin, Won Sug; Kang, Minseok

    2015-01-01

    This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

  10. Mobile Guide System Using Problem-Solving Strategy for Museum Learning: A Sequential Learning Behavioural Pattern Analysis

    ERIC Educational Resources Information Center

    Sung, Y.-T.; Hou, H.-T.; Liu, C.-K.; Chang, K.-E.

    2010-01-01

    Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and…

  11. Evaluation of Mobile Assessment in a Learning Management System

    ERIC Educational Resources Information Center

    Bogdanovic, Zorica; Barac, Dušan; Jovanic, Branislav; Popovic, Snežana; Radenkovic, Božidar

    2014-01-01

    This article discusses the problem of using and delivering educational content from the Moodle learning management system to mobile devices. The primary goal of this study was to investigate the students' habits, motivations and technical possibilities in order to incorporate mobile-learning activities in the e-learning process. A mobile quiz has…

  12. MLCMS Actual Use, Perceived Use, and Experiences of Use

    ERIC Educational Resources Information Center

    Asiimwe, Edgar Napoleon; Grönlund, Åke

    2015-01-01

    Mobile learning involves use of mobile devices to participate in learning activities. Most e-learning activities are available to participants through learning systems such as learning content management systems (LCMS). Due to certain challenges, LCMS are not equally accessible on all mobile devices. This study investigates actual use, perceived…

  13. Could a Mobile-Assisted Learning System Support Flipped Classrooms for Classical Chinese Learning?

    ERIC Educational Resources Information Center

    Wang, Y.-H.

    2016-01-01

    In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…

  14. Can Learning Motivation Predict Learning Achievement? A Case Study of a Mobile Game-Based English Learning Approach

    ERIC Educational Resources Information Center

    Tsai, Chia-Hui; Cheng, Ching-Hsue; Yeh, Duen-Yian; Lin, Shih-Yun

    2017-01-01

    This study applied a quasi-experimental design to investigate the influence and predictive power of learner motivation for achievement, employing a mobile game-based English learning approach. A system called the Happy English Learning System, integrating learning material into a game-based context, was constructed and installed on mobile devices…

  15. Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing

    ERIC Educational Resources Information Center

    Zadahmad, Manouchehr; Yousefzadehfard, Parisa

    2016-01-01

    Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create…

  16. Using Mobile Learning to Increase Environmental Awareness

    ERIC Educational Resources Information Center

    Uzunboylu, Huseyin; Cavus, Nadire; Ercag, Erinc

    2009-01-01

    Mobile learning or m-learning, a relatively new concept, has attracted the interest of educators, researchers, and companies developing learning systems and instructional materials. This study investigated the use of integrating use of mobile technologies, data services, and multimedia messaging systems to increase students' use of mobile…

  17. Development of Adaptive Kanji Learning System for Mobile Phone

    ERIC Educational Resources Information Center

    Li, Mengmeng; Ogata, Hiroaki; Hou, Bin; Hashimoto, Satoshi; Liu, Yuqin; Uosaki, Noriko; Yano, Yoneo

    2010-01-01

    This paper describes an adaptive learning system based on mobile phone email to support the study of Japanese Kanji. In this study, the main emphasis is on using the adaptive learning to resolve one common problem of the mobile-based email or SMS language learning systems. To achieve this goal, the authors main efforts focus on three aspects:…

  18. A Framework to Support Mobile Learning in Multilingual Environments

    ERIC Educational Resources Information Center

    Jantjies, Mmaki E.; Joy, Mike

    2014-01-01

    This paper presents a multilingual mobile learning framework that can be used to support the pedagogical development of mobile learning systems which can support learning in under-resourced multilingual schools. The framework has been developed following two empirical mobile learning studies. Both studies were conducted in multilingual South…

  19. Mobile Authoring of Open Educational Resources as Reusable Learning Objects

    ERIC Educational Resources Information Center

    Kinshuk; Jesse, Ryan

    2013-01-01

    E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO) for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS), or other systems…

  20. Collaborative Learning: Group Interaction in an Intelligent Mobile-Assisted Multiple Language Learning System

    ERIC Educational Resources Information Center

    Troussas, Christos; Virvou, Maria; Alepis, Efthimios

    2014-01-01

    This paper proposes a student-oriented approach tailored to effective collaboration between students using mobile phones for language learning within the life cycle of an intelligent tutoring system. For this reason, in this research, a prototype mobile application has been developed for multiple language learning that incorporates intelligence in…

  1. A New Approach to Personalization: Integrating E-Learning and M-Learning

    ERIC Educational Resources Information Center

    Nedungadi, Prema; Raman, Raghu

    2012-01-01

    Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly,…

  2. On the Push-Pull Mobile Learning of Electric Welding

    ERIC Educational Resources Information Center

    Chung, Chih-Chao; Dzan, Wei-Yuan; Cheng, Yuh-Ming; Lou, Shi-Jer

    2017-01-01

    This study aims to explore the learning effects and attitudes of students in the course electric welding practice in a university of science and technology to which the push-pull technology-based mobile learning system is applied. In this study, the push-pull technology is adopted to establish a mobile learning system and develop the Push-pull…

  3. Effects of Using Mobile Devices on English Listening Diversity and Speaking for EFL Elementary Students

    ERIC Educational Resources Information Center

    Hwang, Wu-Yuin; Huang, Yueh-Min; Shadiev, Rustam; Wu, Sheng-Yi; Chen, Shu-Lin

    2014-01-01

    This study designed learning activities supported by a mobile learning system for students to develop listening and speaking skills in English as a foreign language (EFL). How students perceive learning activities and a mobile learning system were examined in this study. Additionally, how different practices relate to students' language…

  4. A Sharing Mind Map-Oriented Approach to Enhance Collaborative Mobile Learning with Digital Archiving Systems

    ERIC Educational Resources Information Center

    Chang, Jui-Hung; Chiu, Po-Sheng; Huang, Yueh-Min

    2018-01-01

    With the advances in mobile network technology, the use of portable devices and mobile networks for learning is not limited by time and space. Such use, in combination with appropriate learning strategies, can achieve a better effect. Despite the effectiveness of mobile learning, students' learning direction, progress, and achievement may differ.…

  5. Mobile Learning Environment with Short Messaging Service: Application to a Campus Environment in a Developing Country

    ERIC Educational Resources Information Center

    Premadasa, H. K. Salinda; Meegama, R. Gayan N.

    2013-01-01

    Purpose: The purpose of this paper is to discuss how to integrate secure, open-source and mobile-based system with the Moodle learning management system (MLMS) then describe the implementation of a campus-wide mobile learning environment with short messaging system (SMS) and how this platform is incorporated with the student's learning…

  6. Multiplatform E-Learning Systems and Technologies: Mobile Devices for Ubiquitous ICT-Based Education

    ERIC Educational Resources Information Center

    Goh, Tiong Thye, Ed.

    2010-01-01

    Multiplatform e-learning systems are emerging technologies that provide integrated learning content to various accessing devices. This book addresses technical challenges, design frameworks, and development experiences of the future that integrate multiple mobile devices into a single multiplatform e-learning system. With expert international…

  7. Mobile Distance Learning with PDAs: Development and Testing of Pedagogical and System Solutions Supporting Mobile Distance Learners

    ERIC Educational Resources Information Center

    Rekkedal, Torstein; Dye, Aleksander

    2007-01-01

    The article discusses basic teaching-learning philosophies and experiences from the development and testing of mobile learning integrated with the online distance education system at NKI (Norwegian Knowledge Institute) Distance Education. The article builds on experiences from three European Union (EU) supported "Leonardo da Vinci"…

  8. Mobile Learning Application Interfaces: First Steps to a Cognitive Load Aware System

    ERIC Educational Resources Information Center

    Deegan, Robin

    2013-01-01

    Mobile learning is a cognitively demanding application and more frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the nature of this use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where…

  9. Factors Affecting Nursing Students' Readiness and Perceptions Toward the Use of Mobile Technologies for Learning.

    PubMed

    Zayim, Nese; Ozel, Deniz

    2015-10-01

    The purpose of this study was to determine the current usage of mobile devices, preferences of mobile learning environments and examine the readiness of nursing students in a public university. In order to investigate preferences and attitudes with respect to mobile technology use in nursing education, 387 students at a state university have been surveyed. It has been observed that while students preferred their current portable laptops, those in higher classes were more inclined to favor mobile phones. The common problems of battery life and high cost of communication, both in smartphones and tablet systems, suggest that hardware quality and financial constraints seem to be two main factors in determining these technologies. While more than half of students expressed readiness for mobile learning, one quarter indicated indecision. Through multivariate regression analysis, readiness to use mobile learning can be described in terms of perceived ease of use, perceived usefulness, personal innovativeness, self-management of learning, perceived device limitation, and availability. Class level, perceived ease of use, personal innovativeness, and self-management of learning explain intention to use mobile learning. Findings obtained from these results can provide guidance in the development and application of mobile learning systems.

  10. Mobile-based biology edutainment application for secondary schools

    NASA Astrophysics Data System (ADS)

    AL-Modwahi, Ashraf Abbas M.; Kaisara, Onalenna; Parkizkar, Behrang; Habibi Lashkari, Arash

    2013-03-01

    The high increase of mobile technology is leading to mobilized learning environment, thus making traditional learning to diminish slowly and become inactive and unproductive. Learners worldwide are being attracted to mobile environment more so that it promotes anytime, anywhere learning. Biology as a secondary school subject will be applicable for mobile learning for such a time and generation as this. This paper is therefore an attempt to mobile based biology edutainment system for the students who normally range from the ages of thirteen to sixteen.

  11. Using an improved association rules mining optimization algorithm in web-based mobile-learning system

    NASA Astrophysics Data System (ADS)

    Huang, Yin; Chen, Jianhua; Xiong, Shaojun

    2009-07-01

    Mobile-Learning (M-learning) makes many learners get the advantages of both traditional learning and E-learning. Currently, Web-based Mobile-Learning Systems have created many new ways and defined new relationships between educators and learners. Association rule mining is one of the most important fields in data mining and knowledge discovery in databases. Rules explosion is a serious problem which causes great concerns, as conventional mining algorithms often produce too many rules for decision makers to digest. Since Web-based Mobile-Learning System collects vast amounts of student profile data, data mining and knowledge discovery techniques can be applied to find interesting relationships between attributes of learners, assessments, the solution strategies adopted by learners and so on. Therefore ,this paper focus on a new data-mining algorithm, combined with the advantages of genetic algorithm and simulated annealing algorithm , called ARGSA(Association rules based on an improved Genetic Simulated Annealing Algorithm), to mine the association rules. This paper first takes advantage of the Parallel Genetic Algorithm and Simulated Algorithm designed specifically for discovering association rules. Moreover, the analysis and experiment are also made to show the proposed method is superior to the Apriori algorithm in this Mobile-Learning system.

  12. A pilot study on conducting mobile learning activities for clinical nursing courses based on the repertory grid approach.

    PubMed

    Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Chin-Chung; Chen, Ya-Chun; Huang, Yueh-Min

    2011-11-01

    In clinical nursing courses, students are trained to identify the status of the target patients. The mastery of such ability and skills is very important since patients frequently need to be cared for immediately. In this pilot study, a repertory grid-oriented clinical mobile learning system is developed for a nursing training program. With the assistance of the mobile learning system, the nursing school students are able to learn in an authentic learning scenario, in which they can physically face the target patients, with the personal guidance and supplementary materials from the learning system to support them. To show the effectiveness of this innovative approach, an experiment has been conducted on the "respiratory system" unit of a nursing course. The experimental results show that the innovative approach is helpful to students in improving their learning achievements. Moreover, from the questionnaire surveys, it was found that most students showed favorable attitudes toward the usage of the mobile learning system and their participation in the training program. Copyright © 2010 Elsevier Ltd. All rights reserved.

  13. E-Learning System Using Segmentation-Based MR Technique for Learning Circuit Construction

    ERIC Educational Resources Information Center

    Takemura, Atsushi

    2016-01-01

    This paper proposes a novel e-Learning system using the mixed reality (MR) technique for technical experiments involving the construction of electronic circuits. The proposed system comprises experimenters' mobile computers and a remote analysis system. When constructing circuits, each learner uses a mobile computer to transmit image data from the…

  14. An Intelligent Mobile Location-Aware Book Recommendation System that Enhances Problem-Based Learning in Libraries

    ERIC Educational Resources Information Center

    Chen, Chih-Ming

    2013-01-01

    Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only…

  15. Analysis of Means for Building Context-Aware Recommendation System for Mobile Learning

    ERIC Educational Resources Information Center

    Shcherbachenko, Larysa; Nowakowski, Samuel

    2017-01-01

    One of the rapidly developing tools for online learning is learning through a mobile environment. Therefore, developing and improving mobile learning environments is an active topic now. One of the ways to adapt the learning environment to the user's needs is to use his context. Context of the user consists of the current context in online…

  16. A Service-oriented Approach towards Context-aware Mobile Learning Management Systems

    DTIC Science & Technology

    2010-07-01

    towards a pervasive university. Keywords-context-aware computing, service-oriented archi- tecture, mobile computing, elearning , learn management sys- tem I...usage of device- specific features provide support for various ubiquitous and pervasive eLearning scenarios [2][3]. By knowing where the user currently...data from the mobile device towards a context-aware mobile LMS. II. BASIC CONCEPTS For a better understanding of the presented eLearning sce- narios

  17. Information Use and Barriers on a Mobile App in Distance Learning

    ERIC Educational Resources Information Center

    Du, Yunfei

    2015-01-01

    Mobile technologies such as iPhone apps make it possible for learners to freely access course content management systems, library Web sites, as well as reference services from anywhere, anytime. This paper reviewed the current status of mobile learning and suggested possible factors influencing the use of mobile apps in online learning. The author…

  18. The Use of Mobile Learning in Science: A Systematic Review

    NASA Astrophysics Data System (ADS)

    Crompton, Helen; Burke, Diane; Gregory, Kristen H.; Gräbe, Catharina

    2016-04-01

    The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This systematic review reveals the trends in mobile learning in science with a comprehensive analysis and synthesis of studies from the year 2000 onward. Major findings include that most of the studies focused on designing systems for mobile learning, followed by a combination of evaluating the effects of mobile learning and investigating the affective domain during mobile learning. The majority of the studies were conducted in the area of life sciences in informal, elementary (5-11 years) settings. Mobile devices were used in this strand of science easily within informal environments with real-world connections. A variety of research methods were employed, providing a rich research perspective. As the use of mobile learning continues to grow, further research regarding the use of mobile technologies in all areas and levels of science learning will help science educators to expand their ability to embrace these technologies.

  19. The Influence of Perceived Convenience and Curiosity on Continuance Intention in Mobile English Learning for High School Students Using PDAs

    ERIC Educational Resources Information Center

    Chang, Chi-Cheng; Tseng, Kuo-Hung; Liang, Chaoyun; Yan, Chi-Fang

    2013-01-01

    Mobile learning aims to utilise communication devices such as mobile devices and wireless connection in combination with e-learning systems, allowing learners to experience convenient, instant and suitable learning at unrestricted time and place. Participants were 125 Taiwanese senior high school students, whose continuance intention was examined…

  20. Designing a Knowledge Mobilization Strategy: Leading through Influence

    ERIC Educational Resources Information Center

    Reid, Steven

    2015-01-01

    As district leaders consider professional learning opportunities for educators, mobilizing new thought and actions across an entire system is a vexing challenge. Classroom-based learning may unfortunately be viewed as juxtaposed to district-based learning. It becomes essential for district leaders to develop knowledge mobilization strategies which…

  1. Mobile e-Learning for Next Generation Communication Environment

    ERIC Educational Resources Information Center

    Wu, Tin-Yu; Chao, Han-Chieh

    2008-01-01

    This article develops an environment for mobile e-learning that includes an interactive course, virtual online labs, an interactive online test, and lab-exercise training platform on the fourth generation mobile communication system. The Next Generation Learning Environment (NeGL) promotes the term "knowledge economy." Inter-networking…

  2. A Mobile Augmented Reality System for the Learning of Dental Morphology

    ERIC Educational Resources Information Center

    Juan, M.-Carmen; Alexandrescu, Lucian; Folguera, Fernando; García-García, Inmaculada

    2016-01-01

    Three-dimensional models are important when the learning content is difficult to acquire from 2D images or other traditional methods. This is the case for learning dental morphology. In this paper, we present a mobile augmented reality (AR) system for learning dental morphology. A study with students was carried out to determine whether learning…

  3. Mobile learning in medicine

    NASA Astrophysics Data System (ADS)

    Serkan Güllüoüǧlu, Sabri

    2013-03-01

    This paper outlines the main infrastructure for implicating mobile learning in medicine and present a sample mobile learning application for medical learning within the framework of mobile learning systems. Mobile technology is developing nowadays. In this case it will be useful to develop different learning environments using these innovations in internet based distance education. M-learning makes the most of being on location, providing immediate access, being connected, and acknowledges learning that occurs beyond formal learning settings, in places such as the workplace, home, and outdoors. Central to m-learning is the principle that it is the learner who is mobile rather than the device used to deliver m learning. The integration of mobile technologies into training has made learning more accessible and portable. Mobile technologies make it possible for a learner to have access to a computer and subsequently learning material and activities; at any time and in any place. Mobile devices can include: mobile phone, personal digital assistants (PDAs), personal digital media players (eg iPods, MP3 players), portable digital media players, portable digital multimedia players. Mobile learning (m-learning) is particularly important in medical education, and the major users of mobile devices are in the field of medicine. The contexts and environment in which learning occurs necessitates m-learning. Medical students are placed in hospital/clinical settings very early in training and require access to course information and to record and reflect on their experiences while on the move. As a result of this paper, this paper strives to compare and contrast mobile learning with normal learning in medicine from various perspectives and give insights and advises into the essential characteristics of both for sustaining medical education.

  4. An Augmented Reality-Based Mobile Learning System to Improve Students' Learning Achievements and Motivations in Natural Science Inquiry Activities

    ERIC Educational Resources Information Center

    Chiang, Tosti H. C.; Yang, Stephen J. H.; Hwang, Gwo-Jen

    2014-01-01

    In this study, an augmented reality-based mobile learning system is proposed for conducting inquiry-based learning activities. An experiment has been conducted to examine the effectiveness of the proposed approach in terms of learning achievements and motivations. The subjects were 57 fourth graders from two classes taught by the same teacher in…

  5. A Self-Adaptive Multi-Agent System Approach for Collaborative Mobile Learning

    ERIC Educational Resources Information Center

    de la Iglesia, Didac Gil; Calderon, Juan Felipe; Weyns, Danny; Milrad, Marcelo; Nussbaum, Miguel

    2015-01-01

    Mobile technologies have emerged as facilitators in the learning process, extending traditional classroom activities. However, engineering mobile learning applications for outdoor usage poses severe challenges. The requirements of these applications are challenging, as many different aspects need to be catered, such as resource access and sharing,…

  6. Applying Augmented Reality to a Mobile-Assisted Learning System for Martial Arts Using Kinect Motion Capture

    ERIC Educational Resources Information Center

    Hsu, Wen-Chun; Shih, Ju-Ling

    2016-01-01

    In this study, to learn the routine of Tantui, a branch of martial arts was taken as an object of research. Fitts' stages of motor learning and augmented reality (AR) were applied to a 3D mobile-assisted learning system for martial arts, which was characterized by free viewing angles. With the new system, learners could rotate the viewing angle of…

  7. Interaction between Gaming and Multistage Guiding Strategies on Students' Field Trip Mobile Learning Performance and Motivation

    ERIC Educational Resources Information Center

    Chen, Chih-Hung; Liu, Guan-Zhi; Hwang, Gwo-Jen

    2016-01-01

    In this study, an integrated gaming and multistage guiding approach was proposed for conducting in-field mobile learning activities. A mobile learning system was developed based on the proposed approach. To investigate the interaction between the gaming and guiding strategies on students' learning performance and motivation, a 2 × 2 experiment was…

  8. System Quality Characteristics for Selecting Mobile Learning Applications

    ERIC Educational Resources Information Center

    Sarrab, Mohamed; Al-Shihi, Hafedh; Al-Manthari, Bader

    2015-01-01

    The majority of M-learning (Mobile learning) applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased…

  9. Effectiveness of a Mobile Plant Learning System in a Science Curriculum in Taiwanese Elementary Education

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen

    2010-01-01

    This study developed a Mobile Plant Learning System (MPLS) that provides instructors with the ways and means to facilitate student learning in an elementary-school-level botany course. The MPLS represented in this study was implemented to address problems that arise with the use of a didactic approach to teaching and learning botany, as is…

  10. The use of mobile learning application to the fundament of digital electronics course

    NASA Astrophysics Data System (ADS)

    Rakhmawati, L.; Firdha, A.

    2018-01-01

    A new trend in e-learning is known as Mobile Learning. Learning through mobile phones have become part of the educative process. Thus, the purposes of this study are to develop a mobile application for the Fundament of Digital Electronics course that consists of number systems operation, logic gates, and Boolean Algebra, and to assess the readiness, perceptions, and effectiveness of students in the use of mobile devices for learning in the classroom. This research uses Research and Development (R&D) method. The design used in this research, by doing treatment in one class and observing by using Android-based mobile application instructional media. The result obtained from this research shows that the test has 80 % validity aspect, 82 % of the user from senior high school students gives a positive response in using the application of mobile learning, and based on the result of post-test, 90, 90% students passed the exam. At last, it can be concluded that the use of the mobile learning application makes the learning process more effective when it is used in the teaching-learning process.

  11. Implementation and evaluation of LMS mobile application: scele mobile based on user-centered design

    NASA Astrophysics Data System (ADS)

    Banimahendra, R. D.; Santoso, H. B.

    2018-03-01

    The development of mobile technology is now increasing rapidly, demanding all activities including learning should be done on mobile devices. It shows that the implementation of mobile application as a learning medium needs to be done. This study describes the process of developing and evaluating the Moodle-based mobile Learning Management System (LMS) application called Student Centered e-Learning Environment (SCeLE). This study discusses the process of defining features, implementing features into the application, and evaluating the application. We define the features using user research and literature study, then we implement the application with user-centered design basis, at the last phase we evaluated the application using usability testing and system usability score (SUS). The purpose of this study is to determine the extent to which this application can help the users doing their tasks and provide recommendation for the next research and development.

  12. Unveiling the Mobile Learning Paradox.

    PubMed

    Mather, Carey; Cummings, Elizabeth

    2015-01-01

    A mobile learning paradox exists in Australian healthcare settings. Although it is increasingly acknowledged that timely, easy, and convenient access to health information using mobile learning technologies can enhance care and improve patient outcomes, currently there is an inability for nurses to access information at the point of care. Rapid growth in the use of mobile technology has created challenges for learning and teaching in the workplace. Easy access to educational resources via mobile devices challenges traditional strategies of knowledge and skill acquisition. Redesign of learning and teaching in the undergraduate curriculum and the development of policies to support the use of mobile learning at point of care is overdue. This study explored mobile learning opportunities used by clinical supervisors in tertiary and community-based facilities in two Australian States. Individual, organisation and systems level governance were sub-themes of professionalism that emerged as the main theme and impacts on learning and teaching in situ in healthcare environments. It is imperative healthcare work redesign includes learning and teaching that supports professional identity formation of students during work integrated learning.

  13. Using Mixed-Modality Vocabulary Learning on Mobile Devices: Design and Evaluation

    ERIC Educational Resources Information Center

    Ou-Yang, Fang Chuan; Wu, Wen-Chi Vivian

    2017-01-01

    To achieve better adaptive learning for mobile-assisted language learning (MALL), individual prior knowledge proficiency, perceptual learning style, and learning behavior should all be considered in system development. While reviewing the existing literature about MALL research, the researchers of this study found very few recent studies exploring…

  14. Peer-to-Peer JXTA Architecture for Continuing Mobile Medical Education Incorporated in Rural Public Health Centers.

    PubMed

    Rajasekaran, Rajkumar; Iyengar, Nallani Chackravatula Sriman Narayana

    2013-04-01

    Mobile technology helps to improve continuing medical education; this includes all aspects of public health care as well as keeping one's knowledge up-to-date. The program of continuing medical and health education is intertwined with mobile health technology, which forms an imperative component of national strategies in health. Continuing mobile medical education (CMME) programs are designed to ensure that all medical and health-care professionals stay up-to-date with the knowledge required through mobile JXTA to appraise modernized strategies so as to achieve national goals of health-care information distribution. In this study, a 20-item questionnaire was distributed to 280 health professionals practicing traditional training learning methodologies (180 nurses, 60 doctors, and 40 health inspectors) in 25 rural hospitals. Among the 83% respondents, 56% are eager to take new learning methodologies as part of their evaluation, which is considered for promotion to higher grades, increments, or as part of their work-related activities. The proposed model was executed in five public health centers in which nurses and health inspectors registered in the JXTA network were referred to the record peer group by administrators. A mobile training program on immunization was conducted through the ADVT, with the lectures delivered on their mobiles. Credits are given after taking the course and completing an evaluation test. The system is faster compared with traditional learning. Medical knowledge management and mobile-streaming application support the CMME system through JXTA. The mobile system includes online lectures and practice quizzes, as well as assignments and interactions with health professionals. Evaluation and assessments are done online and credits certificates are provided based on the score the student obtains. The acceptance of mobile JXTA peer-to-peer learning has created a drastic change in learning methods among rural health professionals. The professionals undergo training and should pass an exam in order to obtain the credits. The system is controlled and monitored by the administrator peer group, which makes it more flexible and structured. Compared with traditional learning system, enhanced study improves cloud-based mobile medical education technology.

  15. Peer-to-Peer JXTA Architecture for Continuing Mobile Medical Education Incorporated in Rural Public Health Centers

    PubMed Central

    Rajasekaran, Rajkumar; Iyengar, Nallani Chackravatula Sriman Narayana

    2013-01-01

    Objectives: Mobile technology helps to improve continuing medical education; this includes all aspects of public health care as well as keeping one’s knowledge up-to-date. The program of continuing medical and health education is intertwined with mobile health technology, which forms an imperative component of national strategies in health. Continuing mobile medical education (CMME) programs are designed to ensure that all medical and health-care professionals stay up-to-date with the knowledge required through mobile JXTA to appraise modernized strategies so as to achieve national goals of health-care information distribution. Methods: In this study, a 20-item questionnaire was distributed to 280 health professionals practicing traditional training learning methodologies (180 nurses, 60 doctors, and 40 health inspectors) in 25 rural hospitals. Among the 83% respondents, 56% are eager to take new learning methodologies as part of their evaluation, which is considered for promotion to higher grades, increments, or as part of their work-related activities. Results: The proposed model was executed in five public health centers in which nurses and health inspectors registered in the JXTA network were referred to the record peer group by administrators. A mobile training program on immunization was conducted through the ADVT, with the lectures delivered on their mobiles. Credits are given after taking the course and completing an evaluation test. The system is faster compared with traditional learning. Conclusion: Medical knowledge management and mobile-streaming application support the CMME system through JXTA. The mobile system includes online lectures and practice quizzes, as well as assignments and interactions with health professionals. Evaluation and assessments are done online and credits certificates are provided based on the score the student obtains. The acceptance of mobile JXTA peer-to-peer learning has created a drastic change in learning methods among rural health professionals. The professionals undergo training and should pass an exam in order to obtain the credits. The system is controlled and monitored by the administrator peer group, which makes it more flexible and structured. Compared with traditional learning system, enhanced study improves cloud-based mobile medical education technology. PMID:24159539

  16. Teachers' Perception of Mobile Edutainment for Special Needs Learners: The Malaysian Case

    ERIC Educational Resources Information Center

    Mohd Yusof, Anuar; Daniel, Esther Gnanamalar Sarojini; Low, Wah Yun; Ab. Aziz, Kamarulzaman

    2014-01-01

    Study of Malaysian adoption of mobile learning (m-learning) is still in the early stages. However, there are numerous researchers in the country exploring the potential and application of m-learning in the Malaysian education system, including special education. A key question is whether teachers are prepared to incorporate mobile technology as…

  17. Development of a Mobile Learning System Based on a Collaborative Problem-Posing Strategy

    ERIC Educational Resources Information Center

    Sung, Han-Yu; Hwang, Gwo-Jen; Chang, Ya-Chi

    2016-01-01

    In this study, a problem-posing strategy is proposed for supporting collaborative mobile learning activities. Accordingly, a mobile learning environment has been developed, and an experiment on a local culture course has been conducted to evaluate the effectiveness of the proposed approach. Three classes of an elementary school in southern Taiwan…

  18. Evaluating Listening and Speaking Skills in a Mobile Game-Based Learning Environment with Situational Contexts

    ERIC Educational Resources Information Center

    Hwang, Wu-Yuin; Shih, Timothy K.; Ma, Zhao-Heng; Shadiev, Rustam; Chen, Shu-Yu

    2016-01-01

    Game-based learning activities that facilitate students' listening and speaking skills were designed in this study. To participate in learning activities, students in the control group used traditional methods, while students in the experimental group used a mobile system. In our study, we looked into the feasibility of mobile game-based learning…

  19. "UML Quiz": Automatic Conversion of Web-Based E-Learning Content in Mobile Applications

    ERIC Educational Resources Information Center

    von Franqué, Alexander; Tellioglu, Hilda

    2014-01-01

    Many educational institutions use Learning Management Systems to provide e-learning content to their students. This often includes quizzes that can help students to prepare for exams. However, the content is usually web-optimized and not very usable on mobile devices. In this work a native mobile application ("UML Quiz") that imports…

  20. A Personalized Recommendation-Based Mobile Learning Approach to Improving the Reading Performance of EFL Students

    ERIC Educational Resources Information Center

    Hsu, Ching-Kun; Hwang, Gwo-Jen; Chang, Chih-Kai

    2013-01-01

    In this paper, a personalized recommendation-based mobile language learning approach is proposed. A mobile learning system has been developed based on the approach by providing a reading material recommendation mechanism for guiding EFL (English as Foreign Language) students to read articles that match their preferences and knowledge levels, and a…

  1. Activity Theory Approach to Developing Context-Aware Mobile Learning Systems for Understanding Scientific Phenomenon and Theories

    ERIC Educational Resources Information Center

    Uden, Lorna; Hwang, Gwo-Jen

    2013-01-01

    Mobile computing offers potential opportunities for students' learning especially when it combines a sensing device such as RFID (Radio Frequency Identification). Researchers have indicated that a key feature of in-field learning supported by mobile devices and technology is context awareness, with which context and functionality provided by…

  2. Use of Mobile Testing System PeLe for Developing Language Skills

    ERIC Educational Resources Information Center

    Titova, Svetlana

    2015-01-01

    One of the objectives of this paper is to investigate the pedagogical impact of both the mobile testing system PeLe (Norway, HiST) and the enquiry-based learning approach on language skills development in the context of mobile-assisted learning. The research aims to work out a methodological framework of PeLe implementation into the language…

  3. A Proposed Intelligent Policy-Based Interface for a Mobile eHealth Environment

    NASA Astrophysics Data System (ADS)

    Tavasoli, Amir; Archer, Norm

    Users of mobile eHealth systems are often novices, and the learning process for them may be very time consuming. In order for systems to be attractive to potential adopters, it is important that the interface should be very convenient and easy to learn. However, the community of potential users of a mobile eHealth system may be quite varied in their requirements, so the system must be able to adapt easily to suit user preferences. One way to accomplish this is to have the interface driven by intelligent policies. These policies can be refined gradually, using inputs from potential users, through intelligent agents. This paper develops a framework for policy refinement for eHealth mobile interfaces, based on dynamic learning from user interactions.

  4. Mobile(izing) Educational Research: Historical Literacy, M-Learning, and Technopolitics

    ERIC Educational Resources Information Center

    Smith, Bryan; Ng-A-Fook, Nicholas; Corrigan, Julie

    2014-01-01

    This research project explored the nexus between historical literacies, digital literacy and m-learning as a praxis of mobilizing technopolitics. To do this, we developed a mobile application for teacher candidates to study the absence of the Indian Residential School system from history textbooks and other curricular materials. Building on the…

  5. An Autonomous Mobile Agent-Based Distributed Learning Architecture: A Proposal and Analytical Analysis

    ERIC Educational Resources Information Center

    Ahmed, Iftikhar; Sadeq, Muhammad Jafar

    2006-01-01

    Current distance learning systems are increasingly packing highly data-intensive contents on servers, resulting in the congestion of network and server resources at peak service times. A distributed learning system based on faded information field (FIF) architecture that employs mobile agents (MAs) has been proposed and simulated in this work. The…

  6. Integrated Authoring Tool for Mobile Augmented Reality-Based E-Learning Applications

    ERIC Educational Resources Information Center

    Lobo, Marcos Fermin; Álvarez García, Víctor Manuel; del Puerto Paule Ruiz, María

    2013-01-01

    Learning management systems are increasingly being used to complement classroom teaching and learning and in some instances even replace traditional classroom settings with online educational tools. Mobile augmented reality is an innovative trend in e-learning that is creating new opportunities for teaching and learning. This article proposes a…

  7. Using PDA for Undergraduate Student Incidental Vocabulary Testing

    ERIC Educational Resources Information Center

    Song, Yanjie; Fox, Robert

    2008-01-01

    Recent studies have explored English vocabulary learning in environments where students used mobile technologies for prescribed vocabulary learning tasks, or tested designed personalized learning systems to enhance student vocabulary learning for short periods of time in language related courses. Dictionary use via mobile devices has mostly been…

  8. The Effects of Students' Learning Anxiety and Motivation on the Learning Achievement in the Activity Theory Based Gamified Learning Environment

    ERIC Educational Resources Information Center

    Su, Chung-Ho

    2017-01-01

    The advancement of mobile game-based learning has encouraged many related studies, which has enabled students to learn more and faster. To enhance the clinical path of cardiac catheterization learning, this paper has developed a mobile 3D-CCGBLS (3D Cardiac Catheterization Game-Based Learning System) with a learning assessment for cardiac…

  9. 3D interactive augmented reality-enhanced digital learning systems for mobile devices

    NASA Astrophysics Data System (ADS)

    Feng, Kai-Ten; Tseng, Po-Hsuan; Chiu, Pei-Shuan; Yang, Jia-Lin; Chiu, Chun-Jie

    2013-03-01

    With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

  10. Mobile Learning: Readiness and Perceptions of Teachers of Open Universities of Commonwealth Asia

    ERIC Educational Resources Information Center

    Miglani, Anshu; Awadhiya, Ashish Kumar

    2017-01-01

    Integration of "Mobile Learning" (m-learning) in Open and Distance Learning (ODL) systems can play a crucial role in reducing the "Digital Divide" and strengthening "Democratization of Education" by providing quality educational opportunities and access to information quickly at affordable cost in Commonwealth Asian…

  11. User Experience of a Mobile Speaking Application with Automatic Speech Recognition for EFL Learning

    ERIC Educational Resources Information Center

    Ahn, Tae youn; Lee, Sangmin-Michelle

    2016-01-01

    With the spread of mobile devices, mobile phones have enormous potential regarding their pedagogical use in language education. The goal of this study is to analyse user experience of a mobile-based learning system that is enhanced by speech recognition technology for the improvement of EFL (English as a foreign language) learners' speaking…

  12. Comparing the Social Knowledge Construction Behavioral Patterns of Problem-Based Online Asynchronous Discussion in E/M-Learning Environments

    ERIC Educational Resources Information Center

    Lan, Yu-Feng; Tsai, Pei-Wei; Yang, Shih-Hsien; Hung, Chun-Ling

    2012-01-01

    In recent years, researchers have conducted various studies on applying wireless networking technology and mobile devices in education settings. However, research on behavioral patterns in learners' online asynchronous discussions with mobile devices is limited. The purposes of this study are to develop a mobile learning system, mobile interactive…

  13. Mobile and Accessible Learning for MOOCs

    ERIC Educational Resources Information Center

    Sharples, Mike; Kloos, Carlos Delgado; Dimitriadis, Yannis; Garlatti, Serge; Specht, Marcus

    2015-01-01

    Many modern web-based systems provide a "responsive" design that allows material and services to be accessed on mobile and desktop devices, with the aim of providing "ubiquitous access." Besides offering access to learning materials such as podcasts and videos across multiple locations, mobile, wearable and ubiquitous…

  14. Mobile Inquiry Learning in Sweden: Development Insights on Interoperability, Extensibility and Sustainability of the LETS GO Software System

    ERIC Educational Resources Information Center

    Vogel, Bahtijar; Kurti, Arianit; Milrad, Marcelo; Johansson, Emil; Müller, Maximilian

    2014-01-01

    This paper presents the overall lifecycle and evolution of a software system we have developed in relation to the "Learning Ecology through Science with Global Outcomes" (LETS GO) research project. One of the aims of the project is to support "open inquiry learning" using mobile science collaboratories that provide open…

  15. NMobTec-EnvEdu: M-Learning System for Environmental Education

    ERIC Educational Resources Information Center

    Cavus, Nadire

    2008-01-01

    This paper introduced the implementation of a New Mobile Technologies and Environmental Education System (NMobTec-EnvEdu) designed for m-learning environments. The NMobTec-EnvEdu system has been developed to provide environmental education in a collaborative framework to undergraduate students through the Internet using mobile phones. The study…

  16. Modeling and Simulation of An Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning

    ERIC Educational Resources Information Center

    Al-Hmouz, A.; Shen, Jun; Al-Hmouz, R.; Yan, Jun

    2012-01-01

    With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy…

  17. A Mobile-Based E-Learning System

    ERIC Educational Resources Information Center

    Ojokoh, Bolanle Adefowoke; Doyeni, Olubimtan Ayo; Adewale, Olumide Sunday; Isinkaye, Folasade Olubusola

    2013-01-01

    E-learning is an innovative approach for delivering electronically mediated, well-designed, learner-centred interactive learning environments by utilizing internet and digital technologies with respect to instructional design principles. This paper presents the application of Software Development techniques in the development of a Mobile Based…

  18. User Acceptance of Mobile Knowledge Management Learning System: Design and Analysis

    ERIC Educational Resources Information Center

    Chen, Hong-Ren; Huang, Hui-Ling

    2010-01-01

    Thanks to advanced developments in wireless technology, learners can now utilize digital learning websites at anytime and anywhere. Mobile learning captures more and more attention in the wave of digital learning. Evolving use of knowledge management plays an important role to enhance problem solving skills. Recently, innovative approaches for…

  19. Integrating Socio-Cultural Contexts and Location-based Systems for Ubiquitous Language Learning in Museums: A State of the Art Review of 2009-2014

    ERIC Educational Resources Information Center

    Wang, Hong-You; Liu, Gi-Zen; Hwang, Gwo-Jen

    2017-01-01

    Context-dependent learning systems are now becoming more common in museums, as most students are equipped with mobile devices. As there has been little research into context-aware mobile applications in museums, the present study aims to investigate ubiquitous language learning in socio-cultural contexts, as well as recent trends in using…

  20. Mobile Learning in Distance Education: Utility or Futility?

    ERIC Educational Resources Information Center

    Koole, Marguerite; McQuilkin, Janice Letkeman; Ally, Mohamed

    2010-01-01

    Can mobile technology improve flexibility and quality of interaction for graduate students in distance programs? This paper reports the results of an innovative study exploring the usability, learning, and social interaction of mobile access to online course materials at a Canadian distance education university. Through a system called MobiGlam,…

  1. Using Mobile Learning to Improve the Reflection: A Case Study of Traffic Violation

    ERIC Educational Resources Information Center

    Lan, Yu-Feng; Huang, Shin-Ming

    2012-01-01

    The purpose of this study was to integrate mobile communication technologies and a global positioning system (GPS) to construct an instant, convenient report of the mobile network service system named the Mobile Traffic Violation Reporting System (MTVRS), to improve learners' traffic violation reflection level. Data were collected using a…

  2. Leadership for Nursing Work-Based Mobile Learning

    ERIC Educational Resources Information Center

    Fahlman, Dorothy

    2016-01-01

    This paper reflects on work-based mobile learning in the Canadian healthcare system for registered nurses' ongoing skills development and continuing professional development. It calls on distributed leadership to address the organizational contextual factors for making this mode of learning sustainable. [For the full proceedings, see ED571335.

  3. Mobile Collector for Field Trips

    ERIC Educational Resources Information Center

    Kravcik, Milos; Kaibel, Andreas; Specht, Marcus; Terrenghi, Lucia

    2004-01-01

    Current e-Learning is based on learning management systems that provide certain standard services--course authoring and delivery, tutoring, administration and collaboration facilities. Rapid development of mobile technologies opens a new area of m-Learning to enhance the current educational opportunities. Field trips are a relevant part of the…

  4. Development of a Ubiquitous Learning Platform Based on a Real-Time Help-Seeking Mechanism

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Wu, Chih-Hsiang; Tseng, Judy C. R.; Huang, Iwen

    2011-01-01

    The popularity of mobile devices has encouraged the advance of ubiquitous learning, in which students are situated in a real-world learning environment with support from the digital world via the use of mobile, wireless communications, or even sensing technologies. Most of the ubiquitous learning systems are implemented with high-cost sensing…

  5. Facilitating Application of Language Skills in Authentic Environments with a Mobile Learning System

    ERIC Educational Resources Information Center

    Shadiev, R.; Hwang, W.-Y.; Huang, Y.-M.; Liu, T.-Y.

    2018-01-01

    We uncovered two critical issues in earlier studies: (a) some studies have shown that mobile learning technology is not beneficial for all students due to complexity of learning environments and student prior knowledge, skills, and experience and (b) familiarity of students with the authentic environments in which they learn using mobile…

  6. Mobile Learning to Improve Writing in ESL Teaching

    ERIC Educational Resources Information Center

    Noriega, Heidy Selene Robles

    2016-01-01

    This article reports on the results of a study concerning the type of texts and their features produced by a student after using mobile technology as a support to improve the development of the students' writing skills in a second language. The Functional Systemic Linguistic (FSL), Genre Pedagogical Approach (GPA), and mobile learning concepts…

  7. Hybrid Method for Mobile learning Cooperative: Study of Timor Leste

    NASA Astrophysics Data System (ADS)

    da Costa Tavares, Ofelia Cizela; Suyoto; Pranowo

    2018-02-01

    In the modern world today the decision support system is very useful to help in solving a problem, so this study discusses the learning process of savings and loan cooperatives in Timor Leste. The purpose of the observation is that the people of Timor Leste are still in the process of learning the use DSS for good saving and loan cooperative process. Based on existing research on the Timor Leste community on credit cooperatives, a mobile application will be built that will help the cooperative learning process in East Timorese society. The methods used for decision making are AHP (Analytical Hierarchy Process) and SAW (simple additive Weighting) method to see the result of each criterion and the weight of the value. The result of this research is mobile leaning cooperative in decision support system by using SAW and AHP method. Originality Value: Changed the two methods of mobile application development using AHP and SAW methods to help the decision support system process of a savings and credit cooperative in Timor Leste.

  8. An Experiment for Improving Students Performance in Secondary and Tertiary Education by Means of M-Learning Auto-Assessment

    ERIC Educational Resources Information Center

    de-Marcos, Luis; Hilera, Jose Ramon; Barchino, Roberto; Jimenez, Lourdes; Martinez, Jose Javier; Gutierrez, Jose Antonio; Gutierrez, Jose Maria; Oton, Salvador

    2010-01-01

    Mobile learning is considered an evolution of e-learning that embraces the ubiquitous nature of current computational systems in order to improve teaching and learning. Within this context it is possible to develop mobile applications oriented to learning, but it is also important to assess to what extent such applications actually work. In this…

  9. Investigating the Value of Personalization in a Mobile Learning System

    ERIC Educational Resources Information Center

    Kalloo, Vani; Mohan, Permanand

    2015-01-01

    This paper investigates the potential benefits of personalization in a mobile learning environment for high school students learning mathematics. Personalization was expected to benefit the students in two main ways. These are improving their performance in mathematics and making navigation of the application easier. Personalization was…

  10. Face-to-Face Collaborative Learning Supported by Mobile Phones

    ERIC Educational Resources Information Center

    Echeverria, Alejandro; Nussbaum, Miguel; Calderon, Juan Felipe; Bravo, Claudio; Infante, Cristian; Vasquez, Andrea

    2011-01-01

    The use of handheld computers in educational contexts has increased considerably in recent years and their value as a teaching tool has been confirmed by many positive experiences, particular within collaborative learning systems (Mobile Computer Supported Collaborative Learning [MCSCL]). The cost of the devices has hindered widespread use in…

  11. Ubiquitous Mobile Knowledge Construction in Collaborative Learning Environments

    PubMed Central

    Baloian, Nelson; Zurita, Gustavo

    2012-01-01

    Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs). PMID:22969333

  12. Ubiquitous mobile knowledge construction in collaborative learning environments.

    PubMed

    Baloian, Nelson; Zurita, Gustavo

    2012-01-01

    Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs).

  13. The Measurement and Dimensionality of Mobile Learning Systems Success: Two-Stage Development and Validation

    ERIC Educational Resources Information Center

    Lin, Hsin-Hui; Wang, Yi-Shun; Li, Ci-Rong; Shih, Ying-Wei; Lin, Shin-Jeng

    2017-01-01

    The main purpose of this study is to develop and validate a multidimensional instrument for measuring mobile learning systems success (MLSS) based on the previous research. This study defines the construct of MLSS, develops a generic MLSS instrument with desirable psychometric properties, and explores the instrument's theoretical and practical…

  14. Factors Predicting Online University Students' Use of a Mobile Learning Management System (m-LMS)

    ERIC Educational Resources Information Center

    Joo, Young Ju; Kim, Nari; Kim, Nam Hee

    2016-01-01

    This study analyzed the relationships among factors predicting online university students' actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness,…

  15. Design and Implementation of Mobile Learning System for Soldiers’ Vocational Skill Identification Based on Android

    NASA Astrophysics Data System (ADS)

    Ma, Jinqiang

    2017-09-01

    To carry out the identification of the professional skills of the soldiers is to further promote the regularization of the needs of the fire brigade, in accordance with the “public security active forces soldiers professional skills identification implementation approach” to meet the needs of candidates for mobile learning to solve the paper learning materials bring a lot of inconvenience; This article uses the Android technology to develop a set of soldiers professional skills Identification Theory learning app, the learning software based on mobile learning, learning function is perfect, you can learn to practice, to achieve the goal of learning at any time, to enhance the soldier's post ability has a good practical value.

  16. Mobile Sensing Systems

    PubMed Central

    Macias, Elsa; Suarez, Alvaro; Lloret, Jaime

    2013-01-01

    Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high. PMID:24351637

  17. Mobile sensing systems.

    PubMed

    Macias, Elsa; Suarez, Alvaro; Lloret, Jaime

    2013-12-16

    Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.

  18. Personalized Intelligent Mobile Learning System for Supporting Effective English Learning

    ERIC Educational Resources Information Center

    Chen, Chih-Ming; Hsu, Shih-Hsun

    2008-01-01

    Since English has been an international language, how to enhance English levels of people by useful computer assisted learning forms or tools is a critical issue in non-English speaking countries because it definitely affects the overall competition ability of a country. With the rapid growth of wireless and mobile technologies, the mobile…

  19. The Development of a Decision Support System for Mobile Learning: A Case Study in Taiwan

    ERIC Educational Resources Information Center

    Chiu, Po-Sheng; Huang, Yueh-Min

    2016-01-01

    While mobile learning (m-learning) has considerable potential, most of previous strategies for developing this new approach to education were analysed using the knowledge, experience and judgement of individuals, with the support of statistical software. Although these methods provide systematic steps for the implementation of m-learning…

  20. Mobile-IT Education (MIT.EDU): M-Learning Applications for Classroom Settings

    ERIC Educational Resources Information Center

    Sung, M.; Gips, J.; Eagle, N.; Madan, A.; Caneel, R.; DeVaul, R.; Bonsen, J.; Pentland, A.

    2005-01-01

    In this paper, we describe the Mobile-IT Education (MIT.EDU) system, which demonstrates the potential of using a distributed mobile device architecture for rapid prototyping of wireless mobile multi-user applications for use in classroom settings. MIT.EDU is a stable, accessible system that combines inexpensive, commodity hardware, a flexible…

  1. A Joyful Classroom Learning System with Robot Learning Companion for Children to Learn Mathematics Multiplication

    ERIC Educational Resources Information Center

    Wei, Chun-Wang; Hung, I-Chun; Lee, Ling; Chen, Nian-Shing

    2011-01-01

    This research demonstrates the design of a Joyful Classroom Learning System (JCLS) with flexible, mobile and joyful features. The theoretical foundations of this research include the experiential learning theory, constructivist learning theory and joyful learning. The developed JCLS consists of the robot learning companion (RLC), sensing input…

  2. Evaluating a Mobile and Online System for Apprentices' Learning Documentation in Vocational Education: Usability, Effectiveness and Satisfaction

    ERIC Educational Resources Information Center

    Cattaneo, Alberto A. P.; Motta, Elisa; Gurtner, Jean-Luc

    2015-01-01

    In Switzerland, 99% of teenagers own a mobile phone and use it as their primary spare-time activity. Exploiting the affordances that mobile devices have for fostering learning across contexts is therefore imperative for the educational community. This is especially true in the case of dual vocational education and training (VET)--a field…

  3. Mobile Voting Systems for Creating Collaboration Environments and Getting Immediate Feedback: A New Curriculum Model of a University Lecture

    ERIC Educational Resources Information Center

    Titova, Svetlana; Talmo, Tord

    2014-01-01

    Mobile devices can enhance learning and teaching by providing instant feedback and better diagnosis of learning problems, helping design new assessment models, enhancing learner autonomy and creating new formats of enquiry-based activities. The objective of this paper is to investigate the pedagogical impact of mobile voting tools. The authors'…

  4. Issues of E-Learning Standards and Identity Management for Mobility and Collaboration in Higher Education

    ERIC Educational Resources Information Center

    Alves, Paulo; Uhomoibhi, James

    2010-01-01

    Purpose: This paper seeks to investigate and report on the status of identity management systems and e-learning standards across Europe for promoting mobility, collaboration and the sharing of contents and services in higher education institutions. Design/methodology/approach: The present research work examines existing e-learning standards and…

  5. Land mobile radio system phase I pilot report

    DOT National Transportation Integrated Search

    2003-12-15

    This report presents an executive summary, the project overview, Intelligent Transportation System standards and lessons learned for implementation of an Integrated Voice and Data, Land Mobile Radio System (ITS technologies for the Alaska Department ...

  6. Beyond Web-Based Training: Learning Unplugged.

    ERIC Educational Resources Information Center

    Gayeski, Diane M.

    2002-01-01

    Discussion of corporate training focuses on the Internet, Web-based training, and the latest trend toward wireless technology. Topics include the emerging workplace, including continuous learning and collaboration and aiding performance; mobile delivery systems for corporate instructional designers; and types of mobile devices, including PDAs…

  7. Using Mobile Devices to Enhance the Interactive Learning for Spatial Geometry

    ERIC Educational Resources Information Center

    Chang, Kuo-En; Wu, Lin-Jung; Lai, Shing-Chuang; Sung, Yao-Ting

    2016-01-01

    The purpose of this research is to develop a hands-on spatial geometry learning system to facilitate the learning of geometry. The development of this system was based on Duval's four critical elements of geometric learning: perceptual apprehension, sequential apprehension, operative apprehension, and discursive apprehension. The system offers…

  8. Public health practice course using Google Plus.

    PubMed

    Wu, Ting-Ting; Sung, Tien-Wen

    2014-03-01

    In recent years, mobile device-assisted clinical education has become popular among nursing school students. The introduction of mobile devices saves manpower and reduces errors while enhancing nursing students' professional knowledge and skills. To respond to the demands of various learning strategies and to maintain existing systems of education, the concept of Cloud Learning is gradually being introduced to instructional environments. Cloud computing facilitates learning that is personalized, diverse, and virtual. This study involved assessing the advantages of mobile devices and Cloud Learning in a public health practice course, in which Google+ was used as the learning platform, integrating various application tools. Users could save and access data by using any wireless Internet device. The platform was student centered and based on resource sharing and collaborative learning. With the assistance of highly flexible and convenient technology, certain obstacles in traditional practice training can be resolved. Our findings showed that the students who adopted Google+ were learned more effectively compared with those who were limited to traditional learning systems. Most students and the nurse educator expressed a positive attitude toward and were satisfied with the innovative learning method.

  9. A semi-quantitative and thematic analysis of medical student attitudes towards M-Learning.

    PubMed

    Green, Ben L; Kennedy, Iain; Hassanzadeh, Hadi; Sharma, Suneal; Frith, Gareth; Darling, Jonathan C

    2015-10-01

    Smartphone and mobile application technology have in recent years furthered the development of novel learning and assessment resources. 'MBChB Mobile' is a pioneering mobile learning (M-Learning) programme at University of Leeds, United Kingdom and provides all senior medical students with iPhone handsets complete with academic applications, assessment software and a virtual reflective environment. This study aimed to evaluate the impact of MBChB Mobile on student learning. Ethical approval was granted to invite fourth and fifth year medical students to participate in a semi-quantitative questionnaire: data were collected anonymously with informed consent and analysed where appropriate using chi-squared test of association. Qualitative data generated through focus group participation were subjected to both content and thematic analysis. A total of 278 of 519 (53.6%) invited participants responded. Overall, 72.6% of students agreed that MBChB Mobile enhanced their learning experience; however, this was significantly related to overall usage (P < 0.001) and self-reported mobile technology proficiency (P < 0.001). Qualitative data revealed barriers to efficacy including technical software issues, non-transferability to different mobile devices, and perceived patient acceptability. As one of the largest evaluative and only quantitative study of smartphone-assisted M-Learning in undergraduate medical education, MBChB Mobile suggests that smartphone and application technology enhances students' learning experience. Barriers to implementation may be addressed through the provision of tailored learning resources, along with user-defined support systems, and appropriate means of ensuring acceptability to patients. © 2015 John Wiley & Sons, Ltd.

  10. Learning on the Move: A Reassessment of Mobility through the Lens of Bateson's Learning Theory

    ERIC Educational Resources Information Center

    Janand, Anne; Notais, Amélie

    2018-01-01

    Purpose: This paper aims to explore the types of learning engendered by internal mobility (IM) by referring to the principles elaborated by Bateson (1972). Design/methodology/approach: A qualitative methodology is followed with interviews among 50 professionals working at four large French firms. Findings: A system of classification for IM is…

  11. Mobilizing Learning: A Thematic Review of Apps in K-12 and Higher Education

    ERIC Educational Resources Information Center

    Stevenson, Michael Eric; Hedberg, John Gordon

    2017-01-01

    Purpose: This paper presents a thematic review of app-enabled learning in the context of recent developments in mobile technology and m-learning. Three key themes are presented that reflect the issues that teachers, school leaders and systems have grappled with in recent years. Design/Methodology/Approach: Drawing on findings from a range of case…

  12. Experiences Obtained with Integration of Student Response Systems for iPod Touch and iPhone into e-Learning Environments

    ERIC Educational Resources Information Center

    Stav, John; Nielsen, Kjetil; Hansen-Nygard, Gabrielle; Thorseth, Trond

    2010-01-01

    A new type of Student Response System (SRS) based up on the latest wireless technologies and hand held mobile devices has been developed to enhance active learning methods and assess students' understanding. The key services involve a set of XML technologies, web services and modern mobile devices. A group consisting of engineers, scientists and…

  13. To Activate English Learning: Listen and Speak in Real Life Context with an AR Featured U-Learning System

    ERIC Educational Resources Information Center

    Ho, Shu-Chun; Hsieh, Sheng-Wen; Sun, Pei-Chen; Chen, Cheng-Ming

    2017-01-01

    The increasing advance of mobile devices and wireless technologies has generated great interest in ubiquitous learning (u-learning) among academia, practitioners, and policy makers. However, design elements that incorporate learning styles and learning strategies into u-learning system applications in English as a Foreign Language (EFL) education…

  14. James Webb Telescope

    Science.gov Websites

    . solarsystem mobile thumbnail solarystem mobile button Webb will monitor the weather and atmospheres of the mobile thumbnail exoplanets-weather mobile button Webb will search for signs of life-sustaining water on planets beyond our solar system, and help us learn how planets form. blackholes mobile thumbnail

  15. Web-Based Learning Information System for Web 3.0

    NASA Astrophysics Data System (ADS)

    Rego, Hugo; Moreira, Tiago; García-Peñalvo, Francisco Jose

    With the emergence of Web/eLearning 3.0 we have been developing/adjusting AHKME in order to face this great challenge. One of our goals is to allow the instructional designer and teacher to access standardized resources and evaluate the possibility of integration and reuse in eLearning systems, not only content but also the learning strategy. We have also integrated some collaborative tools for the adaptation of resources, as well as the collection of feedback from users to provide feedback to the system. We also provide tools for the instructional designer to create/customize specifications/ontologies to give structure and meaning to resources, manual and automatic search with recommendation of resources and instructional design based on the context, as well as recommendation of adaptations in learning resources. We also consider the concept of mobility and mobile technology applied to eLearning, allowing access by teachers and students to learning resources, regardless of time and space.

  16. Scientific Inquiry, Digital Literacy, and Mobile Computing in Informal Learning Environments

    ERIC Educational Resources Information Center

    Marty, Paul F.; Alemanne, Nicole D.; Mendenhall, Anne; Maurya, Manisha; Southerland, Sherry A.; Sampson, Victor; Douglas, Ian; Kazmer, Michelle M.; Clark, Amanda; Schellinger, Jennifer

    2013-01-01

    Understanding the connections between scientific inquiry and digital literacy in informal learning environments is essential to furthering students' critical thinking and technology skills. The Habitat Tracker project combines a standards-based curriculum focused on the nature of science with an integrated system of online and mobile computing…

  17. Mobile Learning: Geocaching to Learn about Energy Systems

    ERIC Educational Resources Information Center

    Rose, Mary Annette; Gosman, Derek; Shoemaker, Korbin

    2014-01-01

    The children of "Generation Z"--today's American teens--are digital natives (Prensky, 2001) who have come to expect high-speed Internet service, high-resolution multimedia, and instant communication using wireless mobile technology. Teen ownership of digital devices is at a new high according to national surveys. School…

  18. A neural learning classifier system with self-adaptive constructivism for mobile robot control.

    PubMed

    Hurst, Jacob; Bull, Larry

    2006-01-01

    For artificial entities to achieve true autonomy and display complex lifelike behavior, they will need to exploit appropriate adaptable learning algorithms. In this context adaptability implies flexibility guided by the environment at any given time and an open-ended ability to learn appropriate behaviors. This article examines the use of constructivism-inspired mechanisms within a neural learning classifier system architecture that exploits parameter self-adaptation as an approach to realize such behavior. The system uses a rule structure in which each rule is represented by an artificial neural network. It is shown that appropriate internal rule complexity emerges during learning at a rate controlled by the learner and that the structure indicates underlying features of the task. Results are presented in simulated mazes before moving to a mobile robot platform.

  19. The Impact of Using Mobile-Supported Learning Management Systems in Teaching Web Design on the Academic Success of Students and Their Opinions on the Course

    ERIC Educational Resources Information Center

    Tezer, Murat; Çimsir, Burcu Turan

    2018-01-01

    This research aimed to examine the impact of using mobile-supported learning management systems (LMS) in teaching web design on the academic success of students and their opinion on the course; and it was conducted on 70 volunteer students (35 experimental, 35 control) enrolled at Giresun University, Technical Sciences Vocational School, Computer…

  20. Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task.

    PubMed

    Sargent, Barbara; Reimann, Hendrik; Kubo, Masayoshi; Fetters, Linda

    2015-06-01

    Task-specific actions emerge from spontaneous movement during infancy. It has been proposed that task-specific actions emerge through a discovery-learning process. Here a method is described in which 3-4 month old infants learn a task by discovery and their leg movements are captured to quantify the learning process. This discovery-learning task uses an infant activated mobile that rotates and plays music based on specified leg action of infants. Supine infants activate the mobile by moving their feet vertically across a virtual threshold. This paradigm is unique in that as infants independently discover that their leg actions activate the mobile, the infants' leg movements are tracked using a motion capture system allowing for the quantification of the learning process. Specifically, learning is quantified in terms of the duration of mobile activation, the position variance of the end effectors (feet) that activate the mobile, changes in hip-knee coordination patterns, and changes in hip and knee muscle torque. This information describes infant exploration and exploitation at the interplay of person and environmental constraints that support task-specific action. Subsequent research using this method can investigate how specific impairments of different populations of infants at risk for movement disorders influence the discovery-learning process for task-specific action.

  1. Electronic Reading and Digital Library Technologies: Understanding Learner Expectation and Usage Intent for Mobile Learning

    ERIC Educational Resources Information Center

    Hyman, Jack A.; Moser, Mary T.; Segala, Laura N.

    2014-01-01

    Mobile information technology is changing the education landscape by offering learners the opportunity to engage in asynchronous, ubiquitous instruction. While there is a proliferation of mobile content management systems being developed for the mobile Web and stand-alone mobile applications, few studies have addressed learner expectations and…

  2. Data mining technique for a secure electronic payment transaction using MJk-RSA in mobile computing

    NASA Astrophysics Data System (ADS)

    G. V., Ramesh Babu; Narayana, G.; Sulaiman, A.; Padmavathamma, M.

    2012-04-01

    Due to the evolution of the Electronic Learning (E-Learning), one can easily get desired information on computer or mobile system connected through Internet. Currently E-Learning materials are easily accessible on the desktop computer system, but in future, most of the information shall also be available on small digital devices like Mobile, PDA, etc. Most of the E-Learning materials are paid and customer has to pay entire amount through credit/debit card system. Therefore, it is very important to study about the security of the credit/debit card numbers. The present paper is an attempt in this direction and a security technique is presented to secure the credit/debit card numbers supplied over the Internet to access the E-Learning materials or any kind of purchase through Internet. A well known method i.e. Data Cube Technique is used to design the security model of the credit/debit card system. The major objective of this paper is to design a practical electronic payment protocol which is the safest and most secured mode of transaction. This technique may reduce fake transactions which are above 20% at the global level.

  3. OLMS: Online Learning Management System for E-Learning

    ERIC Educational Resources Information Center

    Ippakayala, Vinay Kumar; El-Ocla, Hosam

    2017-01-01

    In this paper we introduce a learning management system that provides a management system for centralized control of course content. A secure system to record lectures is implemented as a key feature of this application. This feature would be accessed through web camera and mobile recording. These features are mainly designed for e-learning…

  4. Adjusted Framework of M-Learning in Blended Learning System for Mathematics Study Field of Junior High School Level VII

    NASA Astrophysics Data System (ADS)

    Sugiyanta, Lipur; Sukardjo, Moch.

    2018-04-01

    The 2013 curriculum requires teachers to be more productive, creative, and innovative in encouraging students to be more independent by strengthening attitudes, skills and knowledge. Teachers are given the options to create lesson plan according to the environment and conditions of their students. At the junior level, Core Competence (KI) and Basic Competence (KD) have been completely designed. In addition, there had already guidebooks, both for teacher manuals (Master’s Books) and for learners (Student Books). The lesson plan and guidebooks which already exist are intended only for learning in the classroom/in-school. Many alternative classrooms and alternatives learning models opened up using educational technology. The advance of educational technology opened opportunity for combination of class interaction using mobile learning applications. Mobile learning has rapidly evolved in education for the last ten years and many initiatives have been conducted worldwide. However, few of these efforts have produced any lasting outcomes. It is evident that mobile education applications are complex and hence, will not become sustainable. Long-term sustainability remains a risk. Long-term sustainability usually was resulted from continuous adaptation to changing conditions [4]. Frameworks are therefore required to avoid sustainability pitfalls. The implementation should start from simple environment then gradually become complex through adaptation steps. Therefore, our paper developed the framework of mobile learning (m-learning) adaptation for grade 7th (junior high school). The environment setup was blended mobile learning (not full mobile learning) and emphasize on Algebra. The research is done by R&D method (research and development). Results of the framework includes requirements and adaptation steps. The adjusted m-learning framework is designed to be a guidance for teachers to adopt m-learning to support blended learning environments. During mock-up prototype, the adjusted framework demonstrates how to make successful implementation of early blended mobile learning through framework. The Social area is in focus of adaptation because participation is important to improve the sustainability. From the short practice of mock-up prototype, blended mobile learning can be an effective pedagogical model in supporting students in inquiry-based learning.

  5. An Adaptive Testing System for Supporting Versatile Educational Assessment

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen

    2009-01-01

    With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…

  6. A Contest-Oriented Project for Learning Intelligent Mobile Robots

    ERIC Educational Resources Information Center

    Huang, Hsin-Hsiung; Su, Juing-Huei; Lee, Chyi-Shyong

    2013-01-01

    A contest-oriented project for undergraduate students to learn implementation skills and theories related to intelligent mobile robots is presented in this paper. The project, related to Micromouse, Robotrace (Robotrace is the title of Taiwanese and Japanese robot races), and line-maze contests was developed by the embedded control system research…

  7. Improving the Effectiveness of English Vocabulary Review by Integrating ARCS with Mobile Game-Based Learning

    ERIC Educational Resources Information Center

    Wu, Ting-Ting

    2018-01-01

    Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…

  8. Designing algorithm visualization on mobile platform: The proposed guidelines

    NASA Astrophysics Data System (ADS)

    Supli, A. A.; Shiratuddin, N.

    2017-09-01

    This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively. Our previous review indicated that design guidelines of AV on mobile platform are still few. Mostly, previous guidelines of AV are developed for AV on desktop and website platform. In fact, mobile learning has been proved to enhance engagement in learning circumstances, and thus effect student's performance. In addition, the researchers highly recommend including UI design and Interactivity in designing effective AV system. However, the discussions of these two aspects in previous AV design guidelines are not comprehensive. The UI design in this paper describes the arrangement of AV features in mobile environment, whereas interactivity is about the active learning strategy features based on learning experiences (how to engage learners). Thus, this study main objective is to propose design guidelines of AV on mobile platform (AVOMP) that entails comprehensively UI design and interactivity aspects. These guidelines are developed through content analysis and comparative analysis from various related studies. These guidelines are useful for AV designers to help them constructing AVOMP for various topics on DSA.

  9. Feasibility study on the readiness, suitability and acceptance of M-Learning AR in learning History

    NASA Astrophysics Data System (ADS)

    Taharim, Nurwahida Faradila; Lokman, Anitawati Mohd; Hanesh, Amjad; Aziz, Azhar Abd

    2016-02-01

    There is no doubt that globalization and innovation in technology has led to the use of technology widespread in almost all sectors, including in the field of education. In recent years, the use of technology in the field of education has more widely and rapidly expand worldwide. Integration of technology in education always open to new opportunities where past studies have shown that technology enhances teaching and learning experience. There are various technologies that have been integrated into the various disciplines of education. Augmented Reality (AR) in mobile learning, which allows a combination of real and virtual worlds in a mobile device, is one of the latest technological potential and has been applied in the field of education. The aim of this research work is to mitigate the challenges faced by end users namely students and teachers of history class by means of creating Augmented Reality mobile application to increase the interest in both delivering and receiving the subject matter. The system consists a mobile platform for students to view the content, and a cloud-based engine to deliver the content based on recognized marker. The impact of such system has been tested on both students and teachers, where students showed interest in learning history, while teachers expressed interest to extend and adopt the system school wide.

  10. Assessment of learning powered mobility use--applying grounded theory to occupational performance.

    PubMed

    Nilsson, Lisbeth; Durkin, Josephine

    2014-01-01

    Collaboration by two grounded theory researchers, who each had developed a learning continuum instrument, led to the emergence of a new tool for assessment of learning powered mobility use. We undertook a rigorous process of comparative reanalysis that included merging, modifying, and expanding our previous research findings. A new instrument together with its facilitating strategies emerged in the course of revisits to our existing rich account of data taken from real environment powered mobility practice over an extensive time period. Instrument descriptors, categories, phases, and stages allow a facilitator to assess actual phase and plot actual occupational performance and provide a learner with the just right challenge through the learning process. Facilitating strategies are described for each of the phases and provide directions for involvement during learner performance. The learning approach is led by a belief system that the intervention is user-led, working in partnership and empowering the learner. The new assessment tool is inclusive of every potential powered mobility user because it focuses on the whole continuum of the learning process of powered mobility use from novice to expert. The new tool was appraised by clinicians and has been used successfully in clinical practice in the United Kingdom and Sweden.

  11. Autonomous Soil Assessment System: A Data-Driven Approach to Planetary Mobility Hazard Detection

    NASA Astrophysics Data System (ADS)

    Raimalwala, K.; Faragalli, M.; Reid, E.

    2018-04-01

    The Autonomous Soil Assessment System predicts mobility hazards for rovers. Its development and performance are presented, with focus on its data-driven models, machine learning algorithms, and real-time sensor data fusion for predictive analytics.

  12. A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system.

    PubMed

    Liao, Stephen Shaoyi; Wang, Huai Qing; Li, Qiu Dan; Liu, Wei Yi

    2006-06-01

    This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system.

  13. Intelligent mobility research for robotic locomotion in complex terrain

    NASA Astrophysics Data System (ADS)

    Trentini, Michael; Beckman, Blake; Digney, Bruce; Vincent, Isabelle; Ricard, Benoit

    2006-05-01

    The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments." The mobility requirement for ground-based mobile systems operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicle dynamics, and learn by experience. These algorithms seek to exploit available world representations of the environment and the inherent dexterity of the robot to allow the vehicle to interact with its surroundings and produce locomotion in complex terrain. The primary focus of the paper is to present the intelligent mobility research within the framework of the research methodology, plan and direction defined at Defence R&D Canada - Suffield. It discusses the progress and future direction of intelligent mobility research and presents the research tools, topics, and plans to address this critical research gap. This research will create effective intelligence to improve the mobility of ground-based mobile systems operating in urban settings to assist the Canadian Forces in their future urban operations.

  14. The Use of Mobile Apps to Enhance Student Learning in Introduction to Psychology

    ERIC Educational Resources Information Center

    Diliberto-Macaluso, Kristen; Hughes, Alan

    2016-01-01

    The current study examined the impact of mobile applications or apps on student learning in an introduction to psychology course. Students were assigned to complete a learner-centered worksheet activity on the brain and central nervous system using either an interactive 3-D Brain app or their online course textbook. We measured student learning…

  15. Mobile Devices to Bridge the Gap in VET: Ease of Use and Usefulness as Indicators for Their Acceptance

    ERIC Educational Resources Information Center

    Motta, Elisa; Cattaneo, Alberto; Gurtner, Jean-Luc

    2014-01-01

    In the dual-track Vocational Education and Training (VET) system, apprentices gain experiences in different learning locations (i.e. workplace and school) but the bridges between these experiences are difficult to construct. Mobile devices could help to promote connectivity across learning contexts, provided they are accepted by the various…

  16. Lessons Learnt from Teachers' Perspectives on Mobile Learning in South Africa with Cultural and Linguistic Constraints

    ERIC Educational Resources Information Center

    Jantjies, Mmaki; Joy, Mike

    2016-01-01

    South Africa's classrooms are characterised by a wide variety of cultural and linguistic differences, providing teachers with educational challenges, particularly in mathematics and science subjects. In response, various mobile learning systems have been developed and piloted in the North West and Gauteng Provinces of South Africa. A framework has…

  17. Beyond adaptive-critic creative learning for intelligent mobile robots

    NASA Astrophysics Data System (ADS)

    Liao, Xiaoqun; Cao, Ming; Hall, Ernest L.

    2001-10-01

    Intelligent industrial and mobile robots may be considered proven technology in structured environments. Teach programming and supervised learning methods permit solutions to a variety of applications. However, we believe that to extend the operation of these machines to more unstructured environments requires a new learning method. Both unsupervised learning and reinforcement learning are potential candidates for these new tasks. The adaptive critic method has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning methods that goes beyond the adaptive critic method for unstructured environments. The adaptive critic is a form of reinforcement learning. A critic element provides only high level grading corrections to a cognition module that controls the action module. In the proposed system the critic's grades are modeled and forecasted, so that an anticipated set of sub-grades are available to the cognition model. The forecasting grades are interpolated and are available on the time scale needed by the action model. The success of the system is highly dependent on the accuracy of the forecasted grades and adaptability of the action module. Examples from the guidance of a mobile robot are provided to illustrate the method for simple line following and for the more complex navigation and control in an unstructured environment. The theory presented that is beyond the adaptive critic may be called creative theory. Creative theory is a form of learning that models the highest level of human learning - imagination. The application of the creative theory appears to not only be to mobile robots but also to many other forms of human endeavor such as educational learning and business forecasting. Reinforcement learning such as the adaptive critic may be applied to known problems to aid in the discovery of their solutions. The significance of creative theory is that it permits the discovery of the unknown problems, ones that are not yet recognized but may be critical to survival or success.

  18. A Framework for Mobile Learning for Enhancing Learning in Higher Education

    ERIC Educational Resources Information Center

    Barreh, Kadar Abdillahi; Abas, Zoraini Wati

    2015-01-01

    As mobile learning becomes increasingly pervasive, many higher education institutions have initiated a number of mobile learning initiatives to support their traditional learning modes. This study proposes a framework for mobile learning for enhancing learning in higher education. This framework for mobile learning is based on research conducted…

  19. Mental Health Mobile Apps: From Infusion to Diffusion in the Mental Health Social System.

    PubMed

    East, Marlene Lynette; Havard, Byron C

    2015-01-01

    The roles of mental health educators and professionals in the diffusion of mental health mobile apps are addressed in this viewpoint article. Mental health mobile apps are emerging technologies that fit under the broad heading of mobile health (mHealth). mHealth, encompassed within electronic health (eHealth), reflects the use of mobile devices for the practice of public health. Well-designed mental health mobile apps that present content in interactive, engaging, and stimulating ways can promote cognitive learning, personal growth, and mental health enhancement. As key influencers in the mental health social system, counselor educators and professional associations may either help or hinder diffusion of beneficial mHealth technologies. As mental health mobile apps move towards ubiquity, research will continue to be conducted. The studies published thus far, combined with the potential of mental health mobile apps for learning and personal growth, offer enough evidence to compel mental health professionals to infuse these technologies into education and practice. Counselor educators and professional associations must use their influential leadership roles to train students and practitioners in how to research, evaluate, and integrate mental health mobile apps into practice. The objectives of this article are to (1) increase awareness of mHealth and mental health mobile apps, (2) demonstrate the potential for continued growth in mental health mobile apps based on technology use and acceptance theory, mHealth organizational initiatives, and evidence about how humans learn, (3) discuss evidence-based benefits of mental health mobile apps, (4) examine the current state of mHealth diffusion in the mental health profession, and (5) offer solutions for impelling innovation diffusion by infusing mental health mobile apps into education, training, and clinical settings. This discussion has implications for counselor educators, mental health practitioners, associations, continuing education providers, and app developers.

  20. Diversity of devices along with diversity of data formats as a new challenge in global teaching and learning system

    NASA Astrophysics Data System (ADS)

    Sultana, Razia; Christ, Andreas; Meyrueis, Patrick

    2014-07-01

    The popularity of mobile communication devices is increasing day by day among students, especially for e-learning activities. "Always-ready-to-use" feature of mobile devices is a key motivation for students to use it even in a short break for a short time. This leads to new requirements regarding learning content presentation, user interfaces, and system architecture for heterogeneous devices. To support diverse devices is not enough to establish global teaching and learning system, it is equally important to support various formats of data along with different sort of devices having different capabilities in terms of processing power, display size, supported data formats, operating system, access method of data etc. Not only the existing data formats but also upcoming data formats, such as due to research results in the area of optics and photonics, virtual reality etc should be considered. This paper discusses the importance, risk and challenges of supporting heterogeneous devices to provide heterogeneous data as a learning content to make global teaching and learning system literally come true at anytime and anywhere. We proposed and implemented a sustainable architecture to support device and data format independent learning system.

  1. Mobile Formative Assessment Tool Based on Data Mining Techniques for Supporting Web-Based Learning

    ERIC Educational Resources Information Center

    Chen, Chih-Ming; Chen, Ming-Chuan

    2009-01-01

    Current trends clearly indicate that online learning has become an important learning mode. However, no effective assessment mechanism for learning performance yet exists for e-learning systems. Learning performance assessment aims to evaluate what learners learned during the learning process. Traditional summative evaluation only considers final…

  2. Promoting Nursing Students' Clinical Learning Through a Mobile e-Portfolio.

    PubMed

    Lai, Chin-Yuan; Wu, Cheng-Chih

    2016-11-01

    Portfolios have been advocated in nursing education to help student link theory and practice. In this study, we document the development of a mobile e-portfolio-based system, which was used to improve nursing education. The e-portfolio-based system has the advantage of allowing students to record, assess, and reflect upon their learning whether at school, a clinical site, or at home. This e-portfolio system was field tested in a 3-week psychiatric nursing practicum session involving 10 female students who were enrolled in a junior nursing college. A mixed-methods study combining qualitative and quantitative data was conducted to investigate the effects of using the system. The results of the study demonstrated that students made professional progress in both theory and practice after using the e-portfolio system. The system could also promote self-regulated learning in clinical context. Students displayed very positive attitudes overall when using the system, although there were some occasional stresses and technical difficulties. Important factors when implementing such a system included the following: adopting the proper mobile device, providing students with clear guidance on constructing the e-portfolio, and how to use the e-portfolio in a clinical setting.

  3. Mobile Technology in the Perioperative Arena: Rapid Evolution and Future Disruption.

    PubMed

    Rothman, Brian S; Gupta, Rajnish K; McEvoy, Matthew D

    2017-03-01

    Throughout the history of medicine, physicians have relied upon disruptive innovations and technologies to improve the quality of care delivered, patient outcomes, and patient satisfaction. The implementation of mobile technology in health care is quickly becoming the next disruptive technology. We first review the history of mobile technology over the past 3 decades, discuss the impact of hardware and software, explore the rapid expansion of applications (apps), and evaluate the adoption of mobile technology in health care. Next, we discuss how technology serves as the vehicle that can transform traditional didactic learning into one that adapts to the learning behavior of the student by using concepts such as the flipped classroom, just-in-time learning, social media, and Web 2.0/3.0. The focus in this modern education paradigm is shifting from teacher-centric to learner-centric, including providers and patients, and is being delivered as context-sensitive, or semantic, learning. Finally, we present the methods by which connected health systems via mobile devices increase information collection and analysis from patients in both clinical care and research environments. This enhanced patient and provider connection has demonstrated benefits including reducing unnecessary hospital readmissions, improved perioperative health maintenance coordination, and improved care in remote and underserved areas. A significant portion of the future of health care, and specifically perioperative medicine, revolves around mobile technology, nimble learners, patient-specific information and decision-making, and continuous connectivity between patients and health care systems. As such, an understanding of developing or evaluating mobile technology likely will be important for anesthesiologists, particularly with an ever-expanding scope of practice in perioperative medicine.

  4. Machine learning techniques for energy optimization in mobile embedded systems

    NASA Astrophysics Data System (ADS)

    Donohoo, Brad Kyoshi

    Mobile smartphones and other portable battery operated embedded systems (PDAs, tablets) are pervasive computing devices that have emerged in recent years as essential instruments for communication, business, and social interactions. While performance, capabilities, and design are all important considerations when purchasing a mobile device, a long battery lifetime is one of the most desirable attributes. Battery technology and capacity has improved over the years, but it still cannot keep pace with the power consumption demands of today's mobile devices. This key limiter has led to a strong research emphasis on extending battery lifetime by minimizing energy consumption, primarily using software optimizations. This thesis presents two strategies that attempt to optimize mobile device energy consumption with negligible impact on user perception and quality of service (QoS). The first strategy proposes an application and user interaction aware middleware framework that takes advantage of user idle time between interaction events of the foreground application to optimize CPU and screen backlight energy consumption. The framework dynamically classifies mobile device applications based on their received interaction patterns, then invokes a number of different power management algorithms to adjust processor frequency and screen backlight levels accordingly. The second strategy proposes the usage of machine learning techniques to learn a user's mobile device usage pattern pertaining to spatiotemporal and device contexts, and then predict energy-optimal data and location interface configurations. By learning where and when a mobile device user uses certain power-hungry interfaces (3G, WiFi, and GPS), the techniques, which include variants of linear discriminant analysis, linear logistic regression, non-linear logistic regression, and k-nearest neighbor, are able to dynamically turn off unnecessary interfaces at runtime in order to save energy.

  5. Mobile Devices and Apps as Scaffolds to Science Learning in the Primary Classroom

    ERIC Educational Resources Information Center

    Falloon, Garry

    2017-01-01

    Considerable work over many years has explored the contribution technology can make to science learning, at all levels of education. In the school sector, historically this has focused on the use of fixed, desktop-based or semi-mobile laptop systems for purposes such as experiment data collection or analysis, or as a means of engaging or…

  6. A Federal Higher Education iPad Mobile Learning Initiative: Triangulation of Data to Determine Early Effectiveness

    ERIC Educational Resources Information Center

    Hargis, Jace; Cavanaugh, Cathy; Kamali, Tayeb; Soto, Melissa

    2014-01-01

    This article presents faculty perceptions of the first month of iPad deployment in a national college system and a case study describing the integration of mobile learning devices in one college, interpreted within the framework of a SWOT analysis. We include a brief history of the implementation; description of the three-tier structure of…

  7. Server-Based and Server-Less Byod Solutions to Support Electronic Learning

    DTIC Science & Technology

    2016-06-01

    Knowledge Online NSD National Security Directive OS operating system OWA Outlook Web Access PC personal computer PED personal electronic device PDA...mobile devices, institute mobile device policies and standards, and promote the development and use of DOD mobile and web -enabled applications” (DOD...with an isolated BYOD web server, properly educated system administrators must carry out and execute the necessary, pre-defined network security

  8. Field-Based Experiential Learning Using Mobile Devices

    NASA Astrophysics Data System (ADS)

    Hilley, G. E.

    2015-12-01

    Technologies such as GPS and cellular triangulation allow location-specific content to be delivered by mobile devices, but no mechanism currently exists to associate content shared between locations in a way that guarantees the delivery of coherent and non-redundant information at every location. Thus, experiential learning via mobile devices must currently take place along a predefined path, as in the case of a self-guided tour. I developed a mobile-device-based system that allows a person to move through a space along a path of their choosing, while receiving information in a way that guarantees delivery of appropriate background and location-specific information without producing redundancy of content between locations. This is accomplished by coupling content to knowledge-concept tags that are noted as fulfilled when users take prescribed actions. Similarly, the presentation of the content is related to the fulfillment of these knowledge-concept tags through logic statements that control the presentation. Content delivery is triggered by mobile-device geolocation including GPS/cellular navigation, and sensing of low-power Bluetooth proximity beacons. Together, these features implement a process that guarantees a coherent, non-redundant educational experience throughout a space, regardless of a learner's chosen path. The app that runs on the mobile device works in tandem with a server-side database and file-serving system that can be configured through a web-based GUI, and so content creators can easily populate and configure content with the system. Once the database has been updated, the new content is immediately available to the mobile devices when they arrive at the location at which content is required. Such a system serves as a platform for the development of field-based geoscience educational experiences, in which students can organically learn about core concepts at particular locations while individually exploring a space.

  9. Using Mobile & Personal Sensing Technologies to Support Health Behavior Change in Everyday Life: Lessons Learned

    PubMed Central

    Klasnja, Predrag; Consolvo, Sunny; McDonald, David W.; Landay, James A.; Pratt, Wanda

    2009-01-01

    Lifestyle modification is a key facet of the prevention and management of chronic diseases. Mobile devices that people already carry provide a promising platform for facilitating these lifestyle changes. This paper describes key lessons learned from the development and evaluation of two mobile systems for encouraging physical activity. We argue that by supporting persistent cognitive activation of health goals, encouraging an extensive range of relevant healthy behaviors, focusing on long-term patterns of activity, and facilitating social support as an optional but not primary motivator, systems can be developed that effectively motivate behavior change and provide support when and where people make decisions that affect their health. PMID:20351876

  10. Online Learning for Classification of Alzheimer Disease based on Cortical Thickness and Hippocampal Shape Analysis.

    PubMed

    Lee, Ga-Young; Kim, Jeonghun; Kim, Ju Han; Kim, Kiwoong; Seong, Joon-Kyung

    2014-01-01

    Mobile healthcare applications are becoming a growing trend. Also, the prevalence of dementia in modern society is showing a steady growing trend. Among degenerative brain diseases that cause dementia, Alzheimer disease (AD) is the most common. The purpose of this study was to identify AD patients using magnetic resonance imaging in the mobile environment. We propose an incremental classification for mobile healthcare systems. Our classification method is based on incremental learning for AD diagnosis and AD prediction using the cortical thickness data and hippocampus shape. We constructed a classifier based on principal component analysis and linear discriminant analysis. We performed initial learning and mobile subject classification. Initial learning is the group learning part in our server. Our smartphone agent implements the mobile classification and shows various results. With use of cortical thickness data analysis alone, the discrimination accuracy was 87.33% (sensitivity 96.49% and specificity 64.33%). When cortical thickness data and hippocampal shape were analyzed together, the achieved accuracy was 87.52% (sensitivity 96.79% and specificity 63.24%). In this paper, we presented a classification method based on online learning for AD diagnosis by employing both cortical thickness data and hippocampal shape analysis data. Our method was implemented on smartphone devices and discriminated AD patients for normal group.

  11. Mobile Learning in Medical Education: Review.

    PubMed

    Walsh, Kieran

    2015-10-01

    In the past several years, mobile learning made rapid inroads into the provision of medical education. There are significant advantages associated with mobile learning. These include high access, low cost, more situated and contextual learning, convenience for the learner, continuous communication and interaction between learner and tutor and between learner and other learners, and the ability to self-assess themselves while learning. Like any other form of medical pedagogy, mobile learning has its downsides. Disadvantages of mobile learning include: inadequate technology, a risk of distraction from learning by using a device that can be used for multiple purposes, and the potential for breakdown in barriers between personal usage of the mobile device and professional or educational use. Despite these caveats, there is no question but that mobile learning offers much potential. In the future, it is likely that the strategy of mobile first, whereby providers of e-learning think of the user experience on a mobile first, will result in learners who increasingly expect that all e-learning provision will work seamlessly on a mobile device.

  12. The Effects of Learning Styles and Meaningful Learning on the Learning Achievement of Gamification Health Education Curriculum

    ERIC Educational Resources Information Center

    Fan, Kuo-Kuang; Xiao, Peng-wei; Su, Chung-Ho

    2015-01-01

    This study aims to discuss the correlations among learning styles, meaningful learning, and learning achievement. Directed at the rather difficult to comprehend human blood circulation unit in the biology materials for junior high school students, a Mobile Meaningful Blood Circulation Learning System, called MMBCLS gamification learning, was…

  13. Mobile Learning Using Mobile Phones

    ERIC Educational Resources Information Center

    Vicente, Paula

    2013-01-01

    The participation in mobile learning programs is conditioned by having/using mobile communication technology. Those who do not have or use such technology cannot participate in mobile learning programs. This study evaluates who are the most likely participants of mobile learning programs by examining the demographic profile and mobile phone usage…

  14. Mobile Learning in Nursing Undergraduates in China: Current Status, Attitudes and Barriers.

    PubMed

    Xiao, Qian; Zhang, Qiannan; Wang, Lanlan; Wang, Yanling; Sun, Liu; Wu, Ying

    2017-01-01

    To explore the current status, attitudes and barriers of nursing undergraduates toward mobile learning, 157 nursing students were investigated. more than half of them used mobile learning frequently in past half year. The mean score of students' intention towards mobile learning was 10.5 (ranged from 6 to 15), and it related to students' gender, expected effect, ease of operation, influence of other students, self-learning management and perceived interest. Some barriers affected students' mobile learning. Therefore, students had positive attitude and perception toward mobile learning, then we should create enough conditions to promote students' mobile learning.

  15. Delivery of Learning Knowledge Objects Using Fuzzy Clustering

    ERIC Educational Resources Information Center

    Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay

    2016-01-01

    e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects…

  16. Common Mobile Learning Characteristics--An Analysis of Mobile Learning Models and Frameworks

    ERIC Educational Resources Information Center

    Imtinan, Umera; Chang, Vanessa; Issa, Tomayess

    2013-01-01

    Mobile learning offers learning opportunities to learners without the limitations of time and space. Mobile learning has introduced a number of flexible options to the learners across disciplines and at different educational levels. However, designing mobile learning content is an equally challenging task for the instructional designers.…

  17. A Study on Mobile Learning as a Learning Style in Modern Research Practice

    ERIC Educational Resources Information Center

    Joan, D. R. Robert

    2013-01-01

    Mobile learning is a kind of learning that takes place via a portable handheld electronic device. It also refers to learning via other kinds of mobile devices such as tablet computers, net-books and digital readers. The objective of mobile learning is to provide the learner the ability to assimilate learning anywhere and at anytime. Mobile devices…

  18. Medical students' online learning technology needs.

    PubMed

    Han, Heeyoung; Nelson, Erica; Wetter, Nathan

    2014-02-01

    This study investigated medical students' online learning technology needs at a medical school. The study aimed to provide evidence-based guidance for technology selection and online learning design in medical education. The authors developed a 120-item survey in collaboration with the New Technology in Medical Education (NTIME) committee at the Southern Illinois University School of Medicine (SIUSOM). Overall, 123 of 290 medical students (42%) at the medical school participated in the survey. The survey focused on five major areas: students' hardware and software use; perception of educational technology (ET) in general; online behaviours; perception of ET use at the school; and demographic information. Students perceived multimedia tools, scheduling tools, communication tools, collaborative authoring tools, learning management systems and electronic health records useful educational technologies for their learning. They did not consider social networking tools useful for their learning, despite their frequent use. Third-year students were less satisfied with current technology integration in the curriculum, information sharing and collaborative learning than other years. Students in clerkships perceived mobile devices as useful for their learning. Students using a mobile device (i.e. a smartphone) go online, text message, visit social networking sites and are online during classes more frequently than non-users. Medical students' ET needs differ between preclinical and clinical years. Technology supporting ubiquitous mobile learning and health information technology (HIT) systems at hospitals and out-patient clinics can be integrated into clerkship curricula. © 2014 John Wiley & Sons Ltd.

  19. Tug-o-Where: Situating Mobilities of Learning (T)here

    ERIC Educational Resources Information Center

    Enriquez, Judith Guevarra

    2011-01-01

    This article explores "mobilities" as a research framework for learning not so much in terms of what has to be done to enhance learning using mobile technologies. Instead it focuses on our embodied ways of knowing and learning by "being mobile" in physical and mediated spaces. It reviews current mobility frameworks used in mobile learning research…

  20. Viewing Mobile Learning from a Pedagogical Perspective

    ERIC Educational Resources Information Center

    Kearney, Matthew; Schuck, Sandra; Burden, Kevin; Aubusson, Peter

    2012-01-01

    Mobile learning is a relatively new phenomenon and the theoretical basis is currently under development. The paper presents a pedagogical perspective of mobile learning which highlights three central features of mobile learning: authenticity, collaboration and personalisation, embedded in the unique timespace contexts of mobile learning. A…

  1. Developing a Mobile Application "Educational Process Remote Management System" on the Android Operating System

    ERIC Educational Resources Information Center

    Abildinova, Gulmira M.; Alzhanov, Aitugan K.; Ospanova, Nazira N.; Taybaldieva, Zhymatay; Baigojanova, Dametken S.; Pashovkin, Nikita O.

    2016-01-01

    Nowadays, when there is a need to introduce various innovations into the educational process, most efforts are aimed at simplifying the learning process. To that end, electronic textbooks, testing systems and other software is being developed. Most of them are intended to run on personal computers with limited mobility. Smart education is…

  2. Developing an English Mobile Learning Attitude Scale for Adult Learners

    ERIC Educational Resources Information Center

    Liu, Tzu-Ying

    2017-01-01

    In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…

  3. An Exposition of Current Mobile Learning Design Guidelines and Frameworks

    ERIC Educational Resources Information Center

    Teall, Ed; Wang, Minjuan; Callaghan, Vic; Ng, Jason W. P.

    2014-01-01

    As mobile devices with wireless access become more readily available, learning delivered via mobile devices of all types must be designed to ensure successful learning. This paper first examines three questions related to the design of mobile learning: 1) what mobile learning (m-learning) guidelines can be identified in the current literature, 2)…

  4. Impact of Contextuality on Mobile Learning Acceptance: An Empirical Study Based on a Language Learning App

    ERIC Educational Resources Information Center

    Böhm, Stephan; Constantine, Georges Philip

    2015-01-01

    The mobility of both the device and the learner will determine how mobile learning takes place. Mobile learning offers new educational opportunities that allow for autonomous, personalized and context aware learning. This paper focuses on contextualized features for mobile language learning apps. Context-awareness is seen as a particularly…

  5. Issues for Deployment of Mobile Learning by Nurses in Australian Healthcare Settings.

    PubMed

    Mather, Carey; Cummings, Elizabeth

    2016-01-01

    Undergraduate nursing curricula are being redesigned to include strategies for deployment of mobile learning as a legitimate nursing function. A recent online survey exploring the use of mobile learning by undergraduate student nurses revealed barriers, challenges, risks, and benefits to using mobile learning at the workplace. Inability to access mobile learning at both individual and organisational levels impacted on student learning and teaching opportunities. Students also indicated that educational preparation for ensuring appropriate use of mobile learning is necessary to guide learning and teaching in situ at point of care. This highlights the need for the development of policy to guide best practice that will enable this new pedagogy to be fully utilised for learning and teaching in healthcare settings. Until governance of mobile learning in educational and healthcare settings in Australia is addressed, harnessing the indubitable benefit of mobile learning and teaching will be unachievable.

  6. Nurses' Experiences and Perceptions of Mobile Learning: A Survey in Beijing, China.

    PubMed

    Xiao, Qian; Sun, Aihua; Wang, Yicong; Zhang, Yan; Wu, Ying

    2018-01-01

    To explore nurses' experience and perceptions toward mobile learning, 397 nurses were investigated. All of them used mobile learning in the past one year through internet, e-books and WeChat. Smartphones were the most used mobile learning tools, followed by a tablet and laptop computer. The mean score of nurses' intention towards mobile learning was 12.1 (ranged from 7 to 15), and it related to nurses' gender, education background, expected effect, ease of operation, self-learning management and perceived interest. Nurses had positive perception toward mobile learning and enough conditions to promote nurses' mobile learning should be provided.

  7. An Investigation of Mobile Learning Readiness in Higher Education Based on the Theory of Planned Behavior

    ERIC Educational Resources Information Center

    Cheon, Jongpil; Lee, Sangno; Crooks, Steven M.; Song, Jaeki

    2012-01-01

    This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the…

  8. Mobile Technologies Enhance the E-Learning Opportunity

    ERIC Educational Resources Information Center

    Chuang, Keh-Wen

    2009-01-01

    The objective of this paper is to identify the mobile technologies that enhance the E-Learning opportunity, examine the educational benefits and implementation issues in mobile learning, discuss the guidelines for implementing effective mobile learning, identify the current application and operation of mobile learning, and discuss the future of…

  9. M-Learning--On Path to Integration with Organisation Systems

    ERIC Educational Resources Information Center

    Srivastava, Shilpa; Gulati, Ved Prakash

    2014-01-01

    Learning is essential in organizations for them to survive. However, given the changing environment owing to global inter-connectedness, mobile workforce, global unpredictability and complexities, the learning approach must also change. Today the Learning and Development unit must be able to facilitate collaborative work, develop learning…

  10. Personalized Mobile English Vocabulary Learning System Based on Item Response Theory and Learning Memory Cycle

    ERIC Educational Resources Information Center

    Chen, C. M.; Chung, C. J.

    2008-01-01

    Since learning English is very popular in non-English speaking countries, developing modern assisted-learning tools that support effective English learning is a critical issue in the English-language education field. Learning English involves memorization and practice of a large number of vocabulary words and numerous grammatical structures.…

  11. Integrate WeChat with Moodle to Provide a Mobile Learning Environment for Students

    ERIC Educational Resources Information Center

    Li, Zhigao; Fan, Yibo; Jiao, Jianli

    2016-01-01

    In the information age, learning has become ubiquitous, and mobile learning enabled by mobile technologies is expected to play a significant role in various educational settings. Currently, there exist some limitations on mobile learning from the perspective of technology. The implementation of mobile learning usually depends on the development of…

  12. Determinants of Mobile Learning Acceptance: An Empirical Investigation in Higher Education

    ERIC Educational Resources Information Center

    Akour, Hassan

    2010-01-01

    Scope and method of study: The purpose of this study was to investigate the determinants of mobile learning acceptance in higher education. Mobile learning is a rapidly growing method of learning that utilizes mobile devices to deliver content. Acceptance of mobile learning theory was derived from technology acceptance theories. The study…

  13. A Simultaneous Mobile E-Learning Environment and Application

    ERIC Educational Resources Information Center

    Karal, Hasan; Bahcekapili, Ekrem; Yildiz, Adil

    2010-01-01

    The purpose of the present study was to design a mobile learning environment that enables the use of a teleconference application used in simultaneous e-learning with mobile devices and to evaluate this mobile learning environment based on students' views. With the mobile learning environment developed in the study, the students are able to follow…

  14. Remotely controlling of mobile robots using gesture captured by the Kinect and recognized by machine learning method

    NASA Astrophysics Data System (ADS)

    Hsu, Roy CHaoming; Jian, Jhih-Wei; Lin, Chih-Chuan; Lai, Chien-Hung; Liu, Cheng-Ting

    2013-01-01

    The main purpose of this paper is to use machine learning method and Kinect and its body sensation technology to design a simple, convenient, yet effective robot remote control system. In this study, a Kinect sensor is used to capture the human body skeleton with depth information, and a gesture training and identification method is designed using the back propagation neural network to remotely command a mobile robot for certain actions via the Bluetooth. The experimental results show that the designed mobile robots remote control system can achieve, on an average, more than 96% of accurate identification of 7 types of gestures and can effectively control a real e-puck robot for the designed commands.

  15. Adoption of the Mobile Campus in a Cyber University

    ERIC Educational Resources Information Center

    Han, Insook; Han, Seungyeon

    2014-01-01

    The advantages of mobile technologies have not been lost on higher education institutions, and they have tried to provide educational services through the use of mobile learning management system (LMS). However, offering such services does not necessarily mean that the students will adopt the new technology. Thus, the purpose of this study was to…

  16. Mobile Documentation with Smartphone and Cloud in an Emergent Curriculum

    ERIC Educational Resources Information Center

    Lim, Seongmi

    2017-01-01

    The goal of this study was to explore the lived experience of kindergarten teachers with mobile documentation designed to support their tracking of children's learning activities in an emergent curriculum. A structure for mobile documentation was created with the smartphone and cloud system. The phenomenological approach used in this study showed…

  17. Modelling an Institutional Mobile Learning Readiness Analyser

    ERIC Educational Resources Information Center

    Ireri, Bonface Ngari; Omwenga, Elijah I.

    2015-01-01

    Due to the affordability, ease of use and availability of mobile devices, many people in Africa and developing countries have acquired at least a mobile device. The penetration of mobile devices places many learning institution in a position to adopt mobile learning, however there are few tools for measuring mobile learning readiness for an…

  18. Mental Health Mobile Apps: From Infusion to Diffusion in the Mental Health Social System

    PubMed Central

    2015-01-01

    The roles of mental health educators and professionals in the diffusion of mental health mobile apps are addressed in this viewpoint article. Mental health mobile apps are emerging technologies that fit under the broad heading of mobile health (mHealth). mHealth, encompassed within electronic health (eHealth), reflects the use of mobile devices for the practice of public health. Well-designed mental health mobile apps that present content in interactive, engaging, and stimulating ways can promote cognitive learning, personal growth, and mental health enhancement. As key influencers in the mental health social system, counselor educators and professional associations may either help or hinder diffusion of beneficial mHealth technologies. As mental health mobile apps move towards ubiquity, research will continue to be conducted. The studies published thus far, combined with the potential of mental health mobile apps for learning and personal growth, offer enough evidence to compel mental health professionals to infuse these technologies into education and practice. Counselor educators and professional associations must use their influential leadership roles to train students and practitioners in how to research, evaluate, and integrate mental health mobile apps into practice. The objectives of this article are to (1) increase awareness of mHealth and mental health mobile apps, (2) demonstrate the potential for continued growth in mental health mobile apps based on technology use and acceptance theory, mHealth organizational initiatives, and evidence about how humans learn, (3) discuss evidence-based benefits of mental health mobile apps, (4) examine the current state of mHealth diffusion in the mental health profession, and (5) offer solutions for impelling innovation diffusion by infusing mental health mobile apps into education, training, and clinical settings. This discussion has implications for counselor educators, mental health practitioners, associations, continuing education providers, and app developers. PMID:26543907

  19. Navigation Assistance: A Trade-Off between Wayfinding Support and Configural Learning Support

    ERIC Educational Resources Information Center

    Munzer, Stefan; Zimmer, Hubert D.; Baus, Jorg

    2012-01-01

    Current GPS-based mobile navigation assistance systems support wayfinding, but they do not support learning about the spatial configuration of an environment. The present study examined effects of visual presentation modes for navigation assistance on wayfinding accuracy, route learning, and configural learning. Participants (high-school students)…

  20. Designing Ensemble Based Security Framework for M-Learning System

    ERIC Educational Resources Information Center

    Mahalingam, Sheila; Abdollah, Mohd Faizal; bin Sahibuddin, Shahrin

    2014-01-01

    Mobile Learning has a potential to improve efficiency in the education sector and expand educational opportunities to underserved remote area in higher learning institutions. However there are multi challenges in different altitude faced when introducing and implementing m-learning. Despite the evolution of technology changes in education,…

  1. Outdoor Natural Science Learning with an RFID-Supported Immersive Ubiquitous Learning Environment

    ERIC Educational Resources Information Center

    Liu, Tsung-Yu; Tan, Tan-Hsu; Chu, Yu-Ling

    2009-01-01

    Despite their successful use in many conscientious studies involving outdoor learning applications, mobile learning systems still have certain limitations. For instance, because students cannot obtain real-time, context-aware content in outdoor locations such as historical sites, endangered animal habitats, and geological landscapes, they are…

  2. Personal computer versus personal computer/mobile device combination users' preclinical laboratory e-learning activity.

    PubMed

    Kon, Haruka; Kobayashi, Hiroshi; Sakurai, Naoki; Watanabe, Kiyoshi; Yamaga, Yoshiro; Ono, Takahiro

    2017-11-01

    The aim of the present study was to clarify differences between personal computer (PC)/mobile device combination and PC-only user patterns. We analyzed access frequency and time spent on a complete denture preclinical website in order to maximize website effectiveness. Fourth-year undergraduate students (N=41) in the preclinical complete denture laboratory course were invited to participate in this survey during the final week of the course to track login data. Students accessed video demonstrations and quizzes via our e-learning site/course program, and were instructed to view online demonstrations before classes. When the course concluded, participating students filled out a questionnaire about the program, their opinions, and devices they had used to access the site. Combination user access was significantly more frequent than PC-only during supplementary learning time, indicating that students with mobile devices studied during lunch breaks and before morning classes. Most students had favorable opinions of the e-learning site, but a few combination users commented that some videos were too long and that descriptive answers were difficult on smartphones. These results imply that mobile devices' increased accessibility encouraged learning by enabling more efficient time use between classes. They also suggest that e-learning system improvements should cater to mobile device users by reducing video length and including more short-answer questions. © 2016 John Wiley & Sons Australia, Ltd.

  3. Legitimisation, personalisation and maturation: Using the experiences of a compulsory mobile curriculum to reconceptualise mobile learning.

    PubMed

    Joynes, Viktoria; Fuller, Richard

    2016-06-01

    Smartphone use is well established in society, with increasing acceptance in many professional workplaces. Despite the growth in mobile resources, how students and teachers benefit from these devices remains under-researched. An exploration of student and educators views on the impact of mobile learning re-sources on placement learning experiences as part of the Leeds 'MBChB Mobile' programme. Focus groups incorporating visual methodologies were undertaken with students from each year group; semi-structured interviews were undertaken with clinical teaching staff, including those who experienced the mobile programme as students themselves. Four key themes emerged. 'Maturity of learning', related to the way in which senior students use resources in a more nuanced way than junior colleagues. 'Learning differently', identified 'personalisation' and 'just in time' opportunities that mobile resources afforded. 'Learning legitimately' was identified by students as key to ensuring they adopted appropriate behaviours in relation to mobile learning. Using mobile resources at undergraduate level was found to 'change learning patterns for life'. There is a need to further develop the educational theory behind using mobile resources for learning. The results here suggest that mobile technologies are shaping learning behaviours, and are an indicator of learning maturity, reflecting the wider context of societal enculturation.

  4. Acceptability of an Asynchronous Learning Forum on Mobile Devices

    ERIC Educational Resources Information Center

    Chang, Chih-Kai

    2010-01-01

    Mobile learning has recently become noteworthy because mobile devices have become popular. To construct an asynchronous learning forum on mobile devices is important because an asynchronous learning forum is always an essential part of networked asynchronous distance learning. However, the input interface in handheld learning devices, which is…

  5. Investigating the Determinants and Age and Gender Differences in the Acceptance of Mobile Learning

    ERIC Educational Resources Information Center

    Wang, Yi-Shun; Wu, Ming-Cheng; Wang, Hsiu-Yuan

    2009-01-01

    With the proliferation of mobile computing technology, mobile learning (m-learning) will play a vital role in the rapidly growing electronic learning market. M-learning is the delivery of learning to students anytime and anywhere through the use of wireless Internet and mobile devices. However, acceptance of m-learning by individuals is critical…

  6. Learning for intelligent mobile robots

    NASA Astrophysics Data System (ADS)

    Hall, Ernest L.; Liao, Xiaoqun; Alhaj Ali, Souma M.

    2003-10-01

    Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed. However, in many applications some form of learning is also required. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots. During the past 20 years, the use of intelligent industrial robots that are equipped not only with motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. However, relatively little has been done concerning learning. Adaptive and robust control permits one to achieve point to point and controlled path operation in a changing environment. This problem can be solved with a learning control. In the unstructured environment, the terrain and consequently the load on the robot"s motors are constantly changing. Learning the parameters of a proportional, integral and derivative controller (PID) and artificial neural network provides an adaptive and robust control. Learning may also be used for path following. Simulations that include learning may be conducted to see if a robot can learn its way through a cluttered array of obstacles. If a situation is performed repetitively, then learning can also be used in the actual application. To reach an even higher degree of autonomous operation, a new level of learning is required. Recently learning theories such as the adaptive critic have been proposed. In this type of learning a critic provides a grade to the controller of an action module such as a robot. The creative control process is used that is "beyond the adaptive critic." A mathematical model of the creative control process is presented that illustrates the use for mobile robots. Examples from a variety of intelligent mobile robot applications are also presented. The significance of this work is in providing a greater understanding of the applications of learning to mobile robots that could lead to many applications.

  7. Implementation of a Multimodal Mobile System for Point-of-Sale Surveillance: Lessons Learned From Case Studies in Washington, DC, and New York City.

    PubMed

    Cantrell, Jennifer; Ganz, Ollie; Ilakkuvan, Vinu; Tacelosky, Michael; Kreslake, Jennifer; Moon-Howard, Joyce; Aidala, Angela; Vallone, Donna; Anesetti-Rothermel, Andrew; Kirchner, Thomas R

    2015-01-01

    In tobacco control and other fields, point-of-sale surveillance of the retail environment is critical for understanding industry marketing of products and informing public health practice. Innovations in mobile technology can improve existing, paper-based surveillance methods, yet few studies describe in detail how to operationalize the use of technology in public health surveillance. The aims of this paper are to share implementation strategies and lessons learned from 2 tobacco, point-of-sale surveillance projects to inform and prepare public health researchers and practitioners to implement new mobile technologies in retail point-of-sale surveillance systems. From 2011 to 2013, 2 point-of-sale surveillance pilot projects were conducted in Washington, DC, and New York, New York, to capture information about the tobacco retail environment and test the feasibility of a multimodal mobile data collection system, which included capabilities for audio or video recording data, electronic photographs, electronic location data, and a centralized back-end server and dashboard. We established a preimplementation field testing process for both projects, which involved a series of rapid and iterative tests to inform decisions and establish protocols around key components of the project. Important components of field testing included choosing a mobile phone that met project criteria, establishing an efficient workflow and accessible user interfaces for each component of the system, training and providing technical support to fieldworkers, and developing processes to integrate data from multiple sources into back-end systems that can be utilized in real-time. A well-planned implementation process is critical for successful use and performance of multimodal mobile surveillance systems. Guidelines for implementation include (1) the need to establish and allow time for an iterative testing framework for resolving technical and logistical challenges; (2) developing a streamlined workflow and user-friendly interfaces for data collection; (3) allowing for ongoing communication, feedback, and technology-related skill-building among all staff; and (4) supporting infrastructure for back-end data systems. Although mobile technologies are evolving rapidly, lessons learned from these case studies are essential for ensuring that the many benefits of new mobile systems for rapid point-of-sale surveillance are fully realized.

  8. Implementation of a Multimodal Mobile System for Point-of-Sale Surveillance: Lessons Learned From Case Studies in Washington, DC, and New York City

    PubMed Central

    Ganz, Ollie; Ilakkuvan, Vinu; Tacelosky, Michael; Kreslake, Jennifer; Moon-Howard, Joyce; Aidala, Angela; Vallone, Donna; Anesetti-Rothermel, Andrew; Kirchner, Thomas R

    2015-01-01

    Background In tobacco control and other fields, point-of-sale surveillance of the retail environment is critical for understanding industry marketing of products and informing public health practice. Innovations in mobile technology can improve existing, paper-based surveillance methods, yet few studies describe in detail how to operationalize the use of technology in public health surveillance. Objective The aims of this paper are to share implementation strategies and lessons learned from 2 tobacco, point-of-sale surveillance projects to inform and prepare public health researchers and practitioners to implement new mobile technologies in retail point-of-sale surveillance systems. Methods From 2011 to 2013, 2 point-of-sale surveillance pilot projects were conducted in Washington, DC, and New York, New York, to capture information about the tobacco retail environment and test the feasibility of a multimodal mobile data collection system, which included capabilities for audio or video recording data, electronic photographs, electronic location data, and a centralized back-end server and dashboard. We established a preimplementation field testing process for both projects, which involved a series of rapid and iterative tests to inform decisions and establish protocols around key components of the project. Results Important components of field testing included choosing a mobile phone that met project criteria, establishing an efficient workflow and accessible user interfaces for each component of the system, training and providing technical support to fieldworkers, and developing processes to integrate data from multiple sources into back-end systems that can be utilized in real-time. Conclusions A well-planned implementation process is critical for successful use and performance of multimodal mobile surveillance systems. Guidelines for implementation include (1) the need to establish and allow time for an iterative testing framework for resolving technical and logistical challenges; (2) developing a streamlined workflow and user-friendly interfaces for data collection; (3) allowing for ongoing communication, feedback, and technology-related skill-building among all staff; and (4) supporting infrastructure for back-end data systems. Although mobile technologies are evolving rapidly, lessons learned from these case studies are essential for ensuring that the many benefits of new mobile systems for rapid point-of-sale surveillance are fully realized. PMID:27227138

  9. An artificial immune system approach with secondary response for misbehavior detection in mobile ad hoc networks.

    PubMed

    Sarafijanović, Slavisa; Le Boudec, Jean-Yves

    2005-09-01

    In mobile ad hoc networks, nodes act both as terminals and information relays, and they participate in a common routing protocol, such as dynamic source routing (DSR). The network is vulnerable to routing misbehavior, due to faulty or malicious nodes. Misbehavior detection systems aim at removing this vulnerability. In this paper, we investigate the use of an artificial immune system (AIS) to detect node misbehavior in a mobile ad hoc network using DSR. The system is inspired by the natural immune system (IS) of vertebrates. Our goal is to build a system that, like its natural counterpart, automatically learns, and detects new misbehavior. We describe our solution for the classification task of the AIS; it employs negative selection and clonal selection, the algorithms for learning and adaptation used by the natural IS. We define how we map the natural IS concepts such as self, antigen, and antibody to a mobile ad hoc network and give the resulting algorithm for classifying nodes as misbehaving. We implemented the system in the network simulator Glomosim; we present detection results and discuss how the system parameters affect the performance of primary and secondary response. Further steps will extend the design by using an analogy to the innate system, danger signal, and memory cells.

  10. Exploring the Use of Electronic Mobile Technologies among Distance Learners in Rural Communities for Safe and Disruptive Learning

    ERIC Educational Resources Information Center

    Ntloedibe-Kuswani, Gomang Seratwa

    2013-01-01

    Several studies indicated the potential of electronic mobile technologies in reaching (safe learning) under-served communities and engaging (disruptive learning) disadvantaged peoples affording them learning experiences. However, the potential benefits of (electronic mobile learning) e-mobile learning have not been well understood from the…

  11. Mobile Affordances and Learning Theories in Supporting and Enhancing Learning

    ERIC Educational Resources Information Center

    MacCallum, Kathryn; Day, Stephanie; Skelton, David; Verhaart, Michael

    2017-01-01

    Mobile technology promises to enhance and better support students' learning. The exploration and adoption of appropriate pedagogies that enhance learning is crucial for the wider adoption of mobile learning. An increasing number of studies have started to address how existing learning theory can be used to underpin and better frame mobile learning…

  12. Moving Past Exploration and Adoption: Considering Priorities for Implementing Mobile Learning by Nurses.

    PubMed

    Mather, Carey; Cummings, Elizabeth

    2017-01-01

    Successful implementation of mobile technology for informal learning and continuing professional development within healthcare settings cannot be achieved or sustained, until end-users recognise that the benefits of using this innovation, outweigh the issues of non-use. At a systems level there is a need for standards, guidelines and codes of conduct to support deployment of mobile technology at an individual level. The aim of this research was to explore findings of a previous focus group study to elucidate priorities for action, provide evidence and focus impetus for advocating progression of the installation of standards and guidelines at an organisation level. The study confirms nurse supervisors' preparedness and readiness to employ mobile learning at point of care. However, successful implementation requires organisations engaging with, and embracing the evolving digital landscape, and supporting this new andragogy. Organisational level commitment will promote contemporary nursing practice, support the best clinical outcomes for patients, and provide educational support for nurses. Nurse leaders and professional bodies must drive and guide development of robust standards, guidelines, and codes of conduct to prioritise mobile learning as a component of digital professionalism within healthcare organisations.

  13. Learners' Ensemble Based Security Conceptual Model for M-Learning System in Malaysian Higher Learning Institution

    ERIC Educational Resources Information Center

    Mahalingam, Sheila; Abdollah, Faizal Mohd; Sahib, Shahrin

    2014-01-01

    M-Learning has a potential to improve efficiency in the education sector and has a tendency to grow advance and transform the learning environment in the future. Yet there are challenges in many areas faced when introducing and implementing m-learning. The learner centered attribute in mobile learning implies deployment in untrustworthy learning…

  14. Setting the New Standard with Mobile Computing in Online Learning

    ERIC Educational Resources Information Center

    Shih, Yuhsun Edward; Mills, Dennis

    2007-01-01

    Mobile learning represents exciting new frontiers in education and pedagogy. With the features of "wearable" computing and multimedia content delivery via mobile technologies, mobile learning becomes feasible and offers new benefits to instructors and learners. How do mobile technologies influence our teaching and learning in traditional…

  15. A mobile Nursing Information System based on human-computer interaction design for improving quality of nursing.

    PubMed

    Su, Kuo-Wei; Liu, Cheng-Li

    2012-06-01

    A conventional Nursing Information System (NIS), which supports the role of nurse in some areas, is typically deployed as an immobile system. However, the traditional information system can't response to patients' conditions in real-time, causing delays on the availability of this information. With the advances of information technology, mobile devices are increasingly being used to extend the human mind's limited capacity to recall and process large numbers of relevant variables and to support information management, general administration, and clinical practice. Unfortunately, there have been few studies about the combination of a well-designed small-screen interface with a personal digital assistant (PDA) in clinical nursing. Some researchers found that user interface design is an important factor in determining the usability and potential use of a mobile system. Therefore, this study proposed a systematic approach to the development of a mobile nursing information system (MNIS) based on Mobile Human-Computer Interaction (M-HCI) for use in clinical nursing. The system combines principles of small-screen interface design with user-specified requirements. In addition, the iconic functions were designed with metaphor concept that will help users learn the system more quickly with less working-memory. An experiment involving learnability testing, thinking aloud and a questionnaire investigation was conducted for evaluating the effect of MNIS on PDA. The results show that the proposed MNIS is good on learning and higher satisfaction on symbol investigation, terminology and system information.

  16. M-Learning Pilot at Sofia University

    ERIC Educational Resources Information Center

    Gourova, Elissaveta; Dulev, Pavlin; Petrova-Antonova, Dessislava; Bontchev, Boyan

    2014-01-01

    Many universities have designed specialized Learning Management Systems in order to facilitate the management of education, the access to knowledge and educational resources, and the communications with all stakeholders involved. With the wide spread of mobile technologies nowadays, new challenges emerge for adapting the available systems to the…

  17. Location-Based Augmented Reality for Mobile Learning: Algorithm, System, and Implementation

    ERIC Educational Resources Information Center

    Tan, Qing; Chang, William; Kinshuk

    2015-01-01

    AR technology can be considered as mainly consisting of two aspects: identification of real-world object and display of computer-generated digital contents related the identified real-world object. The technical challenge of mobile AR is to identify the real-world object that mobile device's camera aim at. In this paper, we will present a…

  18. Mobile Response System: A Novel Approach to Interactive and Hands-On Activity in the Classroom

    ERIC Educational Resources Information Center

    Fuad, Muztaba; Deb, Debzani; Etim, James; Gloster, Clay

    2018-01-01

    Mobile devices are being used profusely in the classrooms to improve passive learning environments and to enhance student comprehension. However, with respect to students' active involvement in problem solving activities, the typical usage of the mobile devices in answering multiple choice and true/false questions is not adequate and the use of…

  19. 47 CFR 80.1115 - Transmission of a distress alert by a station not itself in distress.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... Safety System (GMDSS) Operating Procedures for Distress and Safety Communications § 80.1115 Transmission of a distress alert by a station not itself in distress. (a) A station in the mobile or mobile-satellite service which learns that a mobile unit is in distress must initiate and transmit a distress alert...

  20. 47 CFR 80.1115 - Transmission of a distress alert by a station not itself in distress.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... Safety System (GMDSS) Operating Procedures for Distress and Safety Communications § 80.1115 Transmission of a distress alert by a station not itself in distress. (a) A station in the mobile or mobile-satellite service which learns that a mobile unit is in distress must initiate and transmit a distress alert...

  1. Towards Situation Driven Mobile Tutoring System for Learning Languages and Communication Skills: Application to Users with Specific Needs

    ERIC Educational Resources Information Center

    Khemaja, Maha; Taamallah, Aroua

    2016-01-01

    Current advances in portable devices and wireless technologies had drastically impacted mobile and pervasive computing development and use. Nowadays, mobile and or pervasive applications, are increasingly being used to support users' everyday activities. These apps either distributed or standalone are characterized by the variability of the…

  2. Student Perceptions of Engagement Using Mobile-Based Polling as an Audience Response System: Implications for Leadership Studies

    ERIC Educational Resources Information Center

    Noel, Dan; Stover, Sheri; McNutt, Mindy

    2015-01-01

    The increase in ownership and use of mobile-based devices among college students creates unique opportunities for faculty to develop highly engaging learning environments. With many educational institutions offering campus-wide Wi-Fi, students have the ability to use their mobile devices, including cell phones, tablets, and laptops for engaging…

  3. Modeling Students' Readiness to Adopt Mobile Learning in Higher Education: An Empirical Study

    ERIC Educational Resources Information Center

    Al-Adwan, Ahmad Samed; Al-Madadha, Amr; Zvirzdinaite, Zahra

    2018-01-01

    Mobile devices are increasingly coming to penetrate people's daily lives. Mobile learning (m-learning) is viewed as key to the coming era of electronic learning (e-learning). In the meantime, the use of mobile devices for learning has made a significant contribution to delivering education among higher education students worldwide. However, while…

  4. Teachers Acceptance of Mobile Learning for Teaching and Learning in Islamic Education: A Preliminary Study

    ERIC Educational Resources Information Center

    Nawi, Aliff; Hamzah, Mohd Isa; Rahim, Arif Abdul

    2015-01-01

    This study was conducted to investigate the perceptions of the religious teachers' readiness to use mobile phones as m-learning. The focus of the study is to examine some aspects namely; (1) types of handset used; (2) the use of mobile applications, (3) mobile learning activities, and; (4) the acceptance of mobile phones in teaching and learning.…

  5. Verification hybrid control of a wheeled mobile robot and manipulator

    NASA Astrophysics Data System (ADS)

    Muszynska, Magdalena; Burghardt, Andrzej; Kurc, Krzysztof; Szybicki, Dariusz

    2016-04-01

    In this article, innovative approaches to realization of the wheeled mobile robots and manipulator tracking are presented. Conceptions include application of the neural-fuzzy systems to compensation of the controlled system's nonlinearities in the tracking control task. Proposed control algorithms work on-line, contain structure, that adapt to the changeable work conditions of the controlled systems, and do not require the preliminary learning. The algorithm was verification on the real object which was a Scorbot - ER 4pc robotic manipulator and a Pioneer - 2DX mobile robot.

  6. MoLeNET Mobile Learning Conference 2009: Research Papers

    ERIC Educational Resources Information Center

    Guy Parker, Ed.

    2010-01-01

    The Mobile Learning Network (MoLeNET) is a unique collaborative approach to encouraging, supporting, expanding and promoting mobile learning, primarily in English post-14 education and training, via supported shared cost mobile learning projects. Collaboration at national level involves participating institutions and the Learning and Skills…

  7. Detecting Learning Style through Biometric Technology for Mobile GBL

    ERIC Educational Resources Information Center

    Mehigan, Tracey J.; Pitt, Ian

    2012-01-01

    Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…

  8. The SAMR Model as a Framework for Evaluating mLearning

    ERIC Educational Resources Information Center

    Romrell, Danae; Kidder, Lisa C.; Wood, Emma

    2014-01-01

    As mobile devices become more prominent in the lives of students, the use of mobile devices has the potential to transform learning. Mobile learning, or mLearning, is defined as learning that is personalized, situated, and connected through the use of a mobile device. As mLearning activities are developed, there is a need for a framework within…

  9. The Impact of Student Response Systems on the Learning Experience of Undergraduate Psychology Students

    ERIC Educational Resources Information Center

    Walklet, Elaine; Davis, Sarah; Farrelly, Daniel; Muse, Kate

    2016-01-01

    Student response systems (SRS) are hand-held devices or mobile phone polling systems which collate real-time, individual responses to on-screen questions. Previous research examining their role in higher education has highlighted both advantages and disadvantages of their use. This paper explores how different SRS influence the learning experience…

  10. Learning Messages Notification System to Mobile Devices

    ERIC Educational Resources Information Center

    Jimenez, M. Lourdes

    2005-01-01

    The work presents a new method to send educational messages in e-learning systems. The communication tools are one of the main characteristics of the virtual formative actions, in addition of the contents and the evaluation. The system must help to motivate the students, mainly those who do not leave the formative action and continue it until the…

  11. The Current Perspectives, Theories and Practices of Mobile Learning

    ERIC Educational Resources Information Center

    Keskin, Nilgun Ozdamar; Metcalf, David

    2011-01-01

    Mobile learning (m-learning) is a highly popular multidisciplinary study field around the world. It has attracted a great deal of attention from researchers in different disciplines who have realized the potential to apply mobile technologies to enhance learning. Thus, mobile learning has been defined differently by different people. This study is…

  12. Mobile Cloud Learning for Higher Education: A Case Study of Moodle in the Cloud

    ERIC Educational Resources Information Center

    Wang, Minjuan; Chen, Yong; Khan, Muhammad Jahanzaib

    2014-01-01

    Mobile cloud learning, a combination of mobile learning and cloud computing, is a relatively new concept that holds considerable promise for future development and delivery in the education sectors. Cloud computing helps mobile learning overcome obstacles related to mobile computing. The main focus of this paper is to explore how cloud computing…

  13. Perspectives of mobile learning in optics and photonics

    NASA Astrophysics Data System (ADS)

    Curticapean, Dan; Christ, Andreas; Feißt, Markus

    2010-08-01

    Mobile learning (m-learning) can be considered as a new paradigm of e-learning. The developed solution enables the presentation of animations and 3D virtual reality (VR) on mobile devices and is well suited for mobile learning. Difficult relations in physics as well as intricate experiments in optics can be visualised on mobile devices without need for a personal computer. By outsourcing the computational power to a server, the coverage is worldwide.

  14. Is the Mobile Based Learning Can Be Effective in Academic Learning? A Study to Check if Mobile-Based Learning Is Desirable in Presenting Educational Workshops

    ERIC Educational Resources Information Center

    Mosalanejad, Leili; Najafipour, Sedighe; Dastpak, Mehdi

    2013-01-01

    Mobile technology has made the effective possibility of using technology to support education and learning in universities and colleges in a way that it makes better chance of e-learning. While mobile devices are becoming increasingly utilized, many researchers and practitioners have incorporated m- learning into educational environments. The aim…

  15. An autonomous, automated and mobile device to concurrently assess several cognitive functions in group-living non-human primates.

    PubMed

    Fizet, Jonas; Rimele, Adam; Pebayle, Thierry; Cassel, Jean-Christophe; Kelche, Christian; Meunier, Hélène

    2017-11-01

    Research methods in cognitive neuroscience using non-human primates have undergone notable changes over the last decades. Recently, several research groups have described freely accessible devices equipped with a touchscreen interface. Two characteristics of such systems are of particular interest: some apparatuses include automated identification of subjects, while others are mobile. Here, we designed, tested and validated an experimental system that, for the first time, combine automatization and mobility. Moreover, our system allows autonomous learning and testing of cognitive performance in group-living subjects, including follow-up assessments. The mobile apparatus is designed to be available 24h a day, 7days a week, in a typical confined primate breeding and housing facility. Here we present as proof of concept, the results of two pilot studies. We report that rhesus macaques (Macaca mulatta) learned the tasks rapidly and achieved high-level of stable performance. Approaches of this kind should be developed for future pharmacological and biomedical studies in non-human primates. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Development of a Math Input Interface with Flick Operation for Mobile Devices

    ERIC Educational Resources Information Center

    Nakamura, Yasuyuki; Nakahara, Takahiro

    2016-01-01

    Developing online test environments for e-learning for mobile devices will be useful to increase drill practice opportunities. In order to provide a drill practice environment for calculus using an online math test system, such as STACK, we develop a flickable math input interface that can be easily used on mobile devices. The number of taps…

  17. Meaningful Learning with Mobile Devices: Pre-Service Class Teachers' Experiences of Mobile Learning in the Outdoors

    ERIC Educational Resources Information Center

    Kärki, Tomi; Keinänen, Heli; Tuominen, Anu; Hoikkala, Marianna; Matikainen, Eila; Maijala, Hanna

    2018-01-01

    The authors consider the use of mobile learning environment ActionTrack in teacher education. Pre-service class teachers' (N = 277) experiences of the mobile learning environment were measured with a 7-point Likert-scale questionnaire based on seven attributes of meaningful learning. Students' ratings for different attributes were analysed…

  18. Mobile Phone Usage for M-Learning: Comparing Heavy and Light Mobile Phone Users

    ERIC Educational Resources Information Center

    Suki, Norbayah Mohd; Suki, Norazah Mohd

    2007-01-01

    Purpose: Mobile technologies offer the opportunity to embed learning in a natural environment. The objective of the study is to examine how the usage of mobile phones for m-learning differs between heavy and light mobile phone users. Heavy mobile phone users are hypothesized to have access to/subscribe to one type of mobile content than light…

  19. Effects of Collaborative Learning Styles on Performance of Students in a Ubiquitous Collaborative Mobile Learning Environment

    ERIC Educational Resources Information Center

    Fakomogbon, Michael Ayodele; Bolaji, Hameed Olalekan

    2017-01-01

    Collaborative learning is an approach employed by instructors to facilitate learning and improve learner's performance. Mobile learning can accommodate a variety of learning approaches. This study, therefore, investigated the effects of collaborative learning styles on performance of students in a mobile learning environment. The specific purposes…

  20. An M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

    ERIC Educational Resources Information Center

    Chao, Han-Chieh; Lai, Chin-Feng; Chen, Shih-Yeh; Huang, Yueh-Min

    2014-01-01

    With the rapid development of the Internet and the popularization of mobile devices, participating in a mobile community becomes a part of daily life. This study aims the influence impact of social interactions on mobile learning communities. With m-learning content recommendation services developed from mobile devices and mobile network…

  1. Higher Education Students’ Behaviour to Adopt Mobile Learning

    NASA Astrophysics Data System (ADS)

    Batmetan, J. R.; Palilingan, V. R.

    2018-02-01

    Mobile phone is an electronic device most often used by Y generation in Indonesia. This ages have become an important part in the growth of higher education in this country. The problem raised in this study is that very few students in higher education are adopting and accessing digital learning content using mobile phones. The objective of this study is to investigate the higher education students’ behaviour in using mobile learning. The research method used is Structural equation models (SEM) method to analyse the factors that influence higher education students’ behaviour in using mobile learning. The results of this study indicate tends of this student 85% to keep internet access in privacy. The majority of respondent is 78% having behaviour to keep adopting mobile learning and still use it in the future. Why? because this study shows that on the level of usability, easy to use, easy to learn, in various devices have a significant effect on the level of adoption of mobile learning. Implication of this study is higher education students’ behaviour of especially Y generation tends to prioritize the usability towards mobile learning and will continue to adopt mobile learning in the future.

  2. Effects of Mobile Learning in Medical Education: A Counterfactual Evaluation.

    PubMed

    Briz-Ponce, Laura; Juanes-Méndez, Juan Antonio; García-Peñalvo, Francisco José; Pereira, Anabela

    2016-06-01

    The aim of this research is to contribute to the general system education providing new insights and resources. This study performs a quasi-experimental study at University of Salamanca with 30 students to compare results between using an anatomic app for learning and the formal traditional method conducted by a teacher. The findings of the investigation suggest that the performance of learners using mobile apps is statistical better than the students using the traditional method. However, mobile devices should be considered as an additional tool to complement the teachers' explanation and it is necessary to overcome different barriers and challenges to adopt these pedagogical methods at University.

  3. RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices

    PubMed Central

    Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B.

    2018-01-01

    Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support. PMID:29629431

  4. RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices.

    PubMed

    Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B

    2017-06-01

    Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support.

  5. Mobile-Phone-Based Classroom Response Systems: Students' Perceptions of Engagement and Learning in a Large Undergraduate Course

    ERIC Educational Resources Information Center

    Dunn, Peter K.; Richardson, Alice; Oprescu, Florin; McDonald, Christine

    2013-01-01

    Using a Classroom Response System (CRS) has been associated with positive educational outcomes, by fostering student engagement and by allowing immediate feedback to both students and instructors. This study examined a low-cost CRS (VotApedia) in a large first-year class, where students responded to questions using their mobile phones. This study…

  6. Perspectives of Introduction of the Mobile-Assisted Language Learning (MALL) Technology

    ERIC Educational Resources Information Center

    Wagner, Monica-Nataliia Laurensovna; Donskaya, Maryana Vladimirovna; Kupriyanova, Milana Evgenievna; Ovezova, Umeda Akparovna

    2016-01-01

    Present article addresses methodological and technical (instrumental) aspects of creation and implementation of mobile-assisted learning, which is oriented to the process of foreign languages learning. We provide the interpretation of the main definitions of mobile-assisted learning, as well as propose recommendations for using mobile devices in…

  7. A Formative Assessment-Based Mobile Learning Approach to Improving the Learning Attitudes and Achievements of Students

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Chang, Hsun-Fang

    2011-01-01

    The advancement of mobile and wireless communication technologies has encouraged an increasing number of studies concerning mobile learning, in which students are able to learn via mobile devices without being limited by space and time; in particular, the students can be situated in a real-world scenario associated with the learning content.…

  8. Correlating Questionnaire Data with Actual Usage Data in a Mobile Learning Study for High School Mathematics

    ERIC Educational Resources Information Center

    Kalloo, Vani; Mohan, Permanand

    2012-01-01

    A mobile learning research project was conducted in Trinidad and Tobago to determine if mobile learning can assist high school students in learning mathematics. Several innovative techniques were used in this research to address the problem of high failure rates of mathematics in high schools in the Caribbean. A mobile learning application was…

  9. Designing Mobile LMS Interfaces: Learners' Expectations and Experiences

    ERIC Educational Resources Information Center

    Ssekakubo, Grace; Suleman, Hussein; Marsden, Gary

    2013-01-01

    Purpose: This paper aims to present findings of a study that was carried out to identify strategies of enabling learners in developing countries to fully exploit the potential of learning management systems (LMSs). The study set out to: identify the services of learning management systems that are most needed and desired by university learners in…

  10. Moving Bravely towards Mobile Learning: Iranian Students' Use of Mobile Devices for Learning English as a Foreign Language

    ERIC Educational Resources Information Center

    Dashtestani, Reza

    2016-01-01

    In recent years, students have shown growing interest in mobile learning and the use of mobile devices for learning English as a foreign language (EFL). However, it appears that further research needs to be undertaken to identify students' use of mobile devices and their attitudes towards them, especially in developing countries. To achieve this…

  11. Enriching Adaptation in E-Learning Systems through a Situation-Aware Ontology Network

    ERIC Educational Resources Information Center

    Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira

    2012-01-01

    Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…

  12. Machine vision and appearance based learning

    NASA Astrophysics Data System (ADS)

    Bernstein, Alexander

    2017-03-01

    Smart algorithms are used in Machine vision to organize or extract high-level information from the available data. The resulted high-level understanding the content of images received from certain visual sensing system and belonged to an appearance space can be only a key first step in solving various specific tasks such as mobile robot navigation in uncertain environments, road detection in autonomous driving systems, etc. Appearance-based learning has become very popular in the field of machine vision. In general, the appearance of a scene is a function of the scene content, the lighting conditions, and the camera position. Mobile robots localization problem in machine learning framework via appearance space analysis is considered. This problem is reduced to certain regression on an appearance manifold problem, and newly regression on manifolds methods are used for its solution.

  13. A Behaviour Monitoring System (BMS) for Ambient Assisted Living

    PubMed Central

    Eisa, Samih

    2017-01-01

    Unusual changes in the regular daily mobility routine of an elderly person at home can be an indicator or early symptom of developing health problems. Sensor technology can be utilised to complement the traditional healthcare systems to gain a more detailed view of the daily mobility of a person at home when performing everyday tasks. We hypothesise that data collected from low-cost sensors such as presence and occupancy sensors can be analysed to provide insights on the daily mobility habits of the elderly living alone at home and to detect routine changes. We validate this hypothesis by designing a system that automatically learns the daily room-to-room transitions and permanence habits in each room at each time of the day and generates alarm notifications when deviations are detected. We present an algorithm to process the sensors’ data streams and compute sensor-driven features that describe the daily mobility routine of the elderly as part of the developed Behaviour Monitoring System (BMS). We are able to achieve low detection delay with confirmation time that is high enough to convey the detection of a set of common abnormal situations. We illustrate and evaluate BMS with synthetic data, generated by a developed data generator that was designed to mimic different user’s mobility profiles at home, and also with a real-life dataset collected from prior research work. Results indicate BMS detects several mobility changes that can be symptoms of common health problems. The proposed system is a useful approach for learning the mobility habits at the home environment, with the potential to detect behaviour changes that occur due to health problems, and therefore, motivating progress toward behaviour monitoring and elder’s care. PMID:28837105

  14. Mobile Learning for Teacher Professional Learning: Benefits, Obstacles and Issues

    ERIC Educational Resources Information Center

    Aubusson, Peter; Schuck, Sandy; Burden, Kevin

    2009-01-01

    This paper reflects on the role of mobile learning in teachers' professional learning. It argues that effective professional learning requires reflection and collaboration and that mobile learning is ideally suited to allow reflection-in-action and to capture the spontaneity of learning moments. The paper also argues for the value of…

  15. A Blended Mobile Learning Environment for Museum Learning

    ERIC Educational Resources Information Center

    Hou, Huei-Tse; Wu, Sheng-Yi; Lin, Peng-Chun; Sung, Yao-Ting; Lin, Jhe-Wei; Chang, Kuo-En

    2014-01-01

    The use of mobile devices for informal learning has gained attention over recent years. Museum learning is also regarded as an important research topic in the field of informal learning. This study explored a blended mobile museum learning environment (BMMLE). Moreover, this study applied three blended museum learning modes: (a) the traditional…

  16. Development and Validation of Mobile Learning Acceptance Measure

    ERIC Educational Resources Information Center

    Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh

    2017-01-01

    The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…

  17. Research Priorities in Mobile Learning: An International Delphi Study

    ERIC Educational Resources Information Center

    Hsu, Yu-Chang; Ching, Yu-Hui; Snelson, Chareen

    2014-01-01

    Along with advancing mobile technologies and proliferating mobile devices and applications, mobile learning research has gained great momentum in recent years. While there have been review articles summarizing past research, studies identifying mobile learning research priorities based on experts' latest insights have been lacking. This study…

  18. Mobile Schools for a Mobile World

    ERIC Educational Resources Information Center

    Booth, Susan

    2013-01-01

    Overwhelmingly, independent schools are embracing mobile devices--laptops, iPads or other tablets, and smartphones--to enhance teaching and learning. This article describes the results of the "NAIS 2012 Mobile Learning Survey." Among its findings were that 75 percent of NAIS-member schools currently use mobile learning devices in at…

  19. Complex Mobile Learning That Adapts to Learners' Cognitive Load

    ERIC Educational Resources Information Center

    Deegan, Robin

    2015-01-01

    Mobile learning is cognitively demanding and frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where these fields interact and presents an…

  20. Mobile Learning in the Theater Arts Classroom

    ERIC Educational Resources Information Center

    Li, Zihao

    2017-01-01

    Mobile learning (m-learning) challenges the traditional definition of teaching and learning. M-learning concept is gaining popularity because it enables learning across multiple contexts and disciplines by using portable mobile devices. In recent years, it has attracted increasing attention at the tertiary level as some institutions adopt Bring…

  1. Wearable Learning Tools.

    ERIC Educational Resources Information Center

    Bowskill, Jerry; Dyer, Nick

    1999-01-01

    Describes wearable computers, or information and communication technology devices that are designed to be mobile. Discusses how such technologies can enhance computer-mediated communications, focusing on collaborative working for learning. Describes an experimental system, MetaPark, which explores communications, data retrieval and recording, and…

  2. ’Pushing a Big Rock Up a Steep Hill’: Acquisition Lessons Learned from DoD Applications Storefront

    DTIC Science & Technology

    2014-04-30

    software patches, web applications, widgets, and mobile application packages. The envisioned application store will deliver software from a central...automated delivery of software patches, web applications, widgets, and mobile application packages. The envisioned application store will deliver... mobile technologies, hoping to enhance warfighter situational awareness and access to information. Unfortunately, the Defense Acquisition System has not

  3. Designed and User-Generated Activity in the Mobile Age

    ERIC Educational Resources Information Center

    Kukulska-Hulme, Agnes; Traxler, John; Pettit, John

    2007-01-01

    The paper addresses the question of how to design for learning taking place on mobile and wireless devices. The authors argue that learning activity designers need to consider the characteristics of mobile learning; at the same time, it is vital to realise that learners are already creating mobile learning experiences for themselves. Profound…

  4. A Model Driven Framework to Address Challenges in a Mobile Learning Environment

    ERIC Educational Resources Information Center

    Khaddage, Ferial; Christensen, Rhonda; Lai, Wing; Knezek, Gerald; Norris, Cathie; Soloway, Elliot

    2015-01-01

    In this paper a review of the pedagogical, technological, policy and research challenges and concepts underlying mobile learning is presented, followed by a brief description of categories of implementations. A model Mobile learning framework and dynamic criteria for mobile learning implementations are proposed, along with a case study of one site…

  5. Mobile Learning Projects--A Critical Analysis of the State of the Art

    ERIC Educational Resources Information Center

    Frohberg, D.; Goth, C.; Schwabe, G.

    2009-01-01

    This paper provides a critical analysis of Mobile Learning projects published before the end of 2007. The review uses a Mobile Learning framework to evaluate and categorize 102 Mobile Learning projects, and to briefly introduce exemplary projects for each category. All projects were analysed with the criteria: context, tools, control,…

  6. A Critical Review of 13 Years of Mobile Game-Based Learning

    ERIC Educational Resources Information Center

    Giannakas, Filippos; Kambourakis, Georgios; Papasalouros, Andreas; Gritzalis, Stefanos

    2018-01-01

    With the increasing popularity of smartphones and tablets, game-based learning (GBL) is undergoing a rapid shift to mobile platforms. This transformation is driven by mobility, wireless interfaces, and built-in sensors that these smart devices offer in order to enable blended and context-sensitive mobile learning (m-Learning) activities. Thus,…

  7. The Effects of Mobile-Computer-Supported Collaborative Learning: Meta-Analysis and Critical Synthesis

    ERIC Educational Resources Information Center

    Sung, Yao-Ting; Yang, Je-Ming; Lee, Han-Yueh

    2017-01-01

    One of the trends in collaborative learning is using mobile devices for supporting the process and products of collaboration, which has been forming the field of mobile-computer-supported collaborative learning (mCSCL). Although mobile devices have become valuable collaborative learning tools, evaluative evidence for their substantial…

  8. Mobile Equipment Expands Inventory.

    ERIC Educational Resources Information Center

    McGough, Robert L.; And Others

    1978-01-01

    Describes the Mobile Equipment Modules (MEM) system in Duluth, Minnesota. MEM is a way to hold down costs and increase learning opportunities by consolidating purchases of expensive shop equipment within the school district, grouping the equipment in modules, and scheduling and moving it from school to school as needed. (MF)

  9. Designing a Secure Exam Management System (SEMS) for M-Learning Environments

    ERIC Educational Resources Information Center

    Kaiiali, Mustafa; Ozkaya, Armagan; Altun, Halis; Haddad, Hatem; Alier, Marc

    2016-01-01

    M-learning has enhanced the e-learning by making the learning process learner-centered. However, enforcing exam security in open environments where each student has his/her own mobile/tablet device connected to a Wi-Fi network through which it is further connected to the Internet can be one of the most challenging tasks. In such environments,…

  10. Learning classifier systems for single and multiple mobile robots in unstructured environments

    NASA Astrophysics Data System (ADS)

    Bay, John S.

    1995-12-01

    The learning classifier system (LCS) is a learning production system that generates behavioral rules via an underlying discovery mechanism. The LCS architecture operates similarly to a blackboard architecture; i.e., by posted-message communications. But in the LCS, the message board is wiped clean at every time interval, thereby requiring no persistent shared resource. In this paper, we adapt the LCS to the problem of mobile robot navigation in completely unstructured environments. We consider the model of the robot itself, including its sensor and actuator structures, to be part of this environment, in addition to the world-model that includes a goal and obstacles at unknown locations. This requires a robot to learn its own I/O characteristics in addition to solving its navigation problem, but results in a learning controller that is equally applicable, unaltered, in robots with a wide variety of kinematic structures and sensing capabilities. We show the effectiveness of this LCS-based controller through both simulation and experimental trials with a small robot. We then propose a new architecture, the Distributed Learning Classifier System (DLCS), which generalizes the message-passing behavior of the LCS from internal messages within a single agent to broadcast massages among multiple agents. This communications mode requires little bandwidth and is easily implemented with inexpensive, off-the-shelf hardware. The DLCS is shown to have potential application as a learning controller for multiple intelligent agents.

  11. Exploring the use of mobile technologies for the acquisition of clinical skills.

    PubMed

    Clay, Collette A

    2011-08-01

    Mobile learning has the potential to supplement information communication technology (ICT), online learning and the traditional teaching and learning methods to educate practitioners in the clinical practice area. Following the development of several Post Graduate modules of learning for the theory and clinical skills required to undertake the Newborn Infant Physical Examination (NIPE), a small research study was undertaken to combine mobile learning and NIPE. The research study explored the hypothesis that mobile devices could be used in pedagogically effective ways to support and enhance the learning and acquisition of clinical skills in the clinical arena. Participants in the study each received a handheld mobile device (iPod) that had been loaded with several Reusable Learning Objects (RLO) outlining each aspect of the physical examination to be performed. At the end of the module (12 weeks in duration), each participant completed an evaluation questionnaire. Participants confirmed that mobile learning afforded flexibility in time and place of learning and captured their interest in the learning material. This study reports that the use of mobile technology for skill acquisition is creative and innovative, placing learning firmly in the hands of the learner. Copyright © 2010 Elsevier Ltd. All rights reserved.

  12. A Question-Answer System for Mobile Devices in Lecture-Based Instruction: A Qualitative Analysis of Student Engagement and Learning

    ERIC Educational Resources Information Center

    Hatun Atas, Amine; Delialioglu, Ömer

    2018-01-01

    The aim of this study was to explore the opinions, perceptions and evaluations of students about their experiences with a question-answer system used on mobile devices in a lecture-based course. Basic qualitative research method was employed in this study to understand how students made sense of their experiences during the instruction. The…

  13. An Interactive Cultural Transect: Designing, Deploying, and Evaluating an Online Virtual-Abroad Learning Experience

    ERIC Educational Resources Information Center

    Peters, Phil; Katsaros, Alex; Howard, Rosalyn; Lindgren, Robb

    2012-01-01

    This pilot project conducted by researchers from the University of Central Florida (UCF) seeks to answer the question: Does a real-time, two-way, mobile, remote webcasting system have special properties for learning compared with traditional distance learning platforms? Students enrolled in two online, undergraduate UCF courses explored South…

  14. Designing for Ab Initio Blended Learning Environments: Identifying Systemic Contradictions

    ERIC Educational Resources Information Center

    Ó Doinn, Oisín

    2017-01-01

    In recent years, Computer Assisted Language Learning (CALL) has become more accessible than ever before. This is largely due to the proliferation of mobile computing devices and the growth of open online language-learning resources. Additionally, since the beginning of the millennium there has been massive growth in the number of students studying…

  15. Increasing Interactivity in Blended Classrooms through a Cutting-Edge Mobile Learning System

    ERIC Educational Resources Information Center

    Shen, Ruimin; Wang, Minjuan; Pan, Xiaoyan

    2008-01-01

    Chinese classrooms, whether on school grounds or online, have long suffered from a lack of interactivity. Many online classes simply provide recorded lectures to which students listen after downloading. This format only reinforces the negative effects of passive non-participatory learning. At the e-Learning Lab of Shanghai Jiaotong University…

  16. Users' Familiar Situational Contexts Facilitate the Practice of EFL in Elementary Schools with Mobile Devices

    ERIC Educational Resources Information Center

    Hwang, Wu-Yuin; Chen, Holly S. L.

    2013-01-01

    It is beneficial for students to experience situational learning, especially for English as a foreign language (EFL) learning. Providing more listening and speaking opportunities could help EFL students with English learning. Our research proposes a listening and speaking practice system employing personal digital assistants (PDAs) for situated…

  17. Educational Multimedia Profiling Recommendations for Device-Aware Adaptive Mobile Learning

    ERIC Educational Resources Information Center

    Moldovan, Arghir-Nicolae; Ghergulescu, Ioana; Muntean, Cristina Hava

    2014-01-01

    Mobile learning is seeing a fast adoption with the increasing availability and affordability of mobile devices such as smartphones and tablets. As the creation and consumption of educational multimedia content on mobile devices is also increasing fast, educators and mobile learning providers are faced with the challenge to adapt multimedia type…

  18. Mobile Assisted Language Learning: Review of the Recent Applications of Emerging Mobile Technologies

    ERIC Educational Resources Information Center

    Yang, Jaeseok

    2013-01-01

    As mobile computing technologies have been more powerful and inclusive in people's daily life, the issue of mobile assisted language learning (MALL) has also been widely explored in CALL research. Many researches on MALL consider the emerging mobile technologies have considerable potentials for the effective language learning. This review study…

  19. Design, Development, and Evaluation of a Mobile Learning Application for Computing Education

    ERIC Educational Resources Information Center

    Oyelere, Solomon Sunday; Suhonen, Jarkko; Wajiga, Greg M.; Sutinen, Erkki

    2018-01-01

    The study focused on the application of the design science research approach in the course of developing a mobile learning application, MobileEdu, for computing education in the Nigerian higher education context. MobileEdu facilitates the learning of computer science courses on mobile devices. The application supports ubiquitous, collaborative,…

  20. Challenges of Using Learning Analytics Techniques to Support Mobile Learning

    ERIC Educational Resources Information Center

    Arrigo, Marco; Fulantelli, Giovanni; Taibi, Davide

    2015-01-01

    Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics…

  1. Mobile Learning: A Powerful Tool for Ubiquitous Language Learning

    ERIC Educational Resources Information Center

    Gomes, Nelson; Lopes, Sérgio; Araújo, Sílvia

    2016-01-01

    Mobile devices (smartphones, tablets, e-readers, etc.) have come to be used as tools for mobile learning. Several studies support the integration of such technological devices with learning, particularly with language learning. In this paper, we wish to present an Android app designed for the teaching and learning of Portuguese as a foreign…

  2. The Effect of Mobile Learning Applications on Students' Academic Achievement and Attitudes toward Mobile Learning

    ERIC Educational Resources Information Center

    Demir, Kadir; Akpinar, Ercan

    2018-01-01

    This study examines the effect of mobile learning applications on undergraduate students' academic achievement, attitudes toward mobile learning and animation development levels. Quasi-experimental design was used in the study. Participants of the study were students of the Buca Faculty of Education at Dokuz Eylul University in Turkey. The…

  3. A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types

    ERIC Educational Resources Information Center

    Park, Yeonjeong

    2011-01-01

    Instructional designers and educators recognize the potential of mobile technologies as a learning tool for students and have incorporated them into the distance learning environment. However, little research has been done to categorize the numerous examples of mobile learning in the context of distance education, and few instructional design…

  4. The Use of Mobile Learning in Science: A Systematic Review

    ERIC Educational Resources Information Center

    Crompton, Helen; Burke, Diane; Gregory, Kristen H.; Gräbe, Catharina

    2016-01-01

    The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This systematic review reveals the trends in mobile learning in science with a comprehensive analysis and synthesis of studies from…

  5. Trends of Mobile Learning in Computing Education from 2006 to 2014: A Systematic Review of Research Publications

    ERIC Educational Resources Information Center

    Anohah, Ebenezer; Oyelere, Solomon Sunday; Suhonen, Jarkko

    2017-01-01

    The majority of the existing research regarding mobile learning in computing education has primarily focused on studying the effectiveness of, and in some cases reporting about, implemented mobile learning solutions. However, it is equally important to explore development and application perspectives on the integration of mobile learning into…

  6. Acceptance of Mobile Learning at SMEs of the Service Sector

    ERIC Educational Resources Information Center

    Beutner, Marc; Rüscher, Frederike Anna

    2017-01-01

    Mobile Learning (mLearning) is becoming popular in several parts of education. The increasing availability of mobile technology and devices is an important fact, which fosters this trend. However, even if it attracts more and more attention at huge enterprises it is not clear what small and medium enterprises (SMEs) think about Mobile Learning.…

  7. The Development and Implementation of U-Msg for College Students' English Learning

    ERIC Educational Resources Information Center

    Cheng, Yuh-Ming; Kuo, Sheng-Huang; Lou, Shi-Jer; Shih, Ru-Chu

    2016-01-01

    With the advance of mobile technology, mobile devices have become more portable and powerful with numerous useful tools in daily life. Thus, mobile learning has been widely involved in e-learning studies. Many studies point out that it is important to integrate both pedagogical and technical strengths of mobile technology into learning settings.…

  8. Mobile Learning: Using Application "Auralbook" to Learn Aural Skills

    ERIC Educational Resources Information Center

    Chen, Chi Wai Jason

    2015-01-01

    This study is to investigate the effectiveness of using mobile devices such as iPhone/iPad/android phone/tablet to facilitate mobile learning in aural skills. The application "Auralbook" was designed in 2011 by an engineer/musician to use mobile devices to learn aural skills. This application enables students to sing, record, clap and…

  9. Reviewing Research on Mobile Learning in K-12 Educational Settings: Implications for Students with Disabilities

    ERIC Educational Resources Information Center

    Xie, Jingrong; Basham, James D.; Marino, Matthew T.; Rice, Mary F.

    2018-01-01

    Mobile technologies have shown great potential in various educational settings. Moreover, there is an emerging research base demonstrating how students view and interact with mobile devices to learn. As more of these technologies enter inclusive educational settings, an understanding of the extant research base for mobile learning (M-learning) and…

  10. Learning in the cloud: a new challenge for a global teaching system in optics and photonics

    NASA Astrophysics Data System (ADS)

    Sultana, Razia; Christ, Andreas; Feisst, Markus; Curticapean, Dan

    2014-07-01

    Nowadays, it is assumed of many applications, companies and parts of the society to be always available online. However, according to [Times, Oct, 31 2011], 73% of the world population do not use the internet and thus aren't "online" at all. The most common reasons for not being "online" are expensive personal computer equipment and high costs for data connections, especially in developing countries that comprise most of the world's population (e.g. parts of Africa, Asia, Central and South America). However it seems that these countries are leap-frogging the "PC and landline" age and moving directly to the "mobile" age. Decreasing prices for smart phones with internet connectivity and PC-like operating systems make it more affordable for these parts of the world population to join the "always-online" community. Storing learning content in a way accessible to everyone, including mobile and smart phones, seems therefore to be beneficial. This way, learning content can be accessed by personal computers as well as by mobile and smart phones and thus be accessible for a big range of devices and users. A new trend in the Internet technologies is to go to "the cloud". This paper discusses the changes, challenges and risks of storing learning content in the "cloud". The experiences were gathered during the evaluation of the necessary changes in order to make our solutions and systems "cloud-ready".

  11. Development and Testing of a M-Learning System for the Professional Development of Academics through Design-Based Action Research

    ERIC Educational Resources Information Center

    Keskin, Nilgun Ozdamar; Kuzu, Abdullah

    2015-01-01

    In the present study, a mobile learning system for the professional development of academics was developed by design based action research, and the perceptions and experiences of the academics using this system were examined. In the first phase of this design-based action research, the research question was defined. In the second phase, a…

  12. [The cell phones as devices for the ocular fundus documentation].

    PubMed

    Němčanský, J; Kopecký, A; Timkovič, J; Mašek, P

    2014-12-01

    To present our experience with "smart phones" when examining and documenting human eyes. From September to October 2013 fifteen patients (8 men, 7 women) eye fundus was examined, an average age during the examination was 58 year (ranging from 20-65 years). The photo-documentation was performed with dilated pupils (tropicamid hydrochloridum 1% eye drops) with mobile phone Samsung Galaxy Nexus with the operating system Android 4.3 (Google Inc., Mountain View, CA, USA) and iPhone 4 with the operating system 7.0.4 (Apple Inc., Loop Cupertino, CA, USA), and with 20D lens (Volk Optical Inc., Mentor, OH, USA). The images of the retina taken with a mobile phone and the spherical lens are of a very good quality, precise and reproducible. Learning this technique is easy and fast, the learning curve is steep. Photo-documentation of retina with a mobile phone is a safe, time-saving, easy-to-learn technique, which may be used in a routine ophthalmologic practice. The main advantage of this technique is availability, small size and easy portability of the devices.

  13. Effects of Learning Styles and Interest on Concentration and Achievement of Students in Mobile Learning

    ERIC Educational Resources Information Center

    Li, Xiaojie; Yang, Xianmin

    2016-01-01

    Learning concentration deserves in-depth investigation in the field of mobile learning. Therefore, this study examined the interaction effects of learning styles and interest on the learning concentration and academic achievement of students who were asked to learn conceptual knowledge via their mobile phones in a classroom setting. A total of 92…

  14. Mobile Learning for All

    ERIC Educational Resources Information Center

    Bestwick, Angel; Campbell, John R.

    2010-01-01

    Parents and educational professionals are asking the question, "Are schools preparing students for their future lives?" Mobile technologies such as smart phones, iPods, GPS systems, iPads, and a constant stream of information drive much of people's world and work. The use of such technologies increases with each passing day. But how often do…

  15. Individualization for Education at Scale: MIIC Design and Preliminary Evaluation

    ERIC Educational Resources Information Center

    Brinton, Christopher G.; Rill, Ruediger; Ha, Sangtae; Chiang, Mung; Smith, Robert; Ju, William

    2015-01-01

    We present the design, implementation, and preliminary evaluation of our Adaptive Educational System (AES): the Mobile Integrated and Individualized Course (MIIC). MIIC is a platform for personalized course delivery which integrates lecture videos, text, assessments, and social learning into a mobile native app, and collects clickstream-level…

  16. Using Mobile Phones to Increase Classroom Interaction

    ERIC Educational Resources Information Center

    Cobb, Stephanie; Heaney, Rose; Corcoran, Olivia; Henderson-Begg, Stephanie

    2010-01-01

    This study examines the possible benefits of using mobile phones to increase interaction and promote active learning in large classroom settings. First year undergraduate students studying Cellular Processes at the University of East London took part in a trial of a new text-based classroom interaction system and evaluated their experience by…

  17. Mobile Computer-Assisted-Instruction in Rural New Mexico.

    ERIC Educational Resources Information Center

    Gittinger, Jack D., Jr.

    The University of New Mexico's three-year Computer Assisted Instruction Project established one mobile and five permanent laboratories offering remedial and vocational instruction in winter, 1984-85. Each laboratory has a Degem learning system with minicomputer, teacher terminal, and 32 student terminals. A Digital PDP-11 host computer runs the…

  18. User-Adapted Recommendation of Content on Mobile Devices Using Bayesian Networks

    NASA Astrophysics Data System (ADS)

    Iwasaki, Hirotoshi; Mizuno, Nobuhiro; Hara, Kousuke; Motomura, Yoichi

    Mobile devices, such as cellular phones and car navigation systems, are essential to daily life. People acquire necessary information and preferred content over communication networks anywhere, anytime. However, usability issues arise from the simplicity of user interfaces themselves. Thus, a recommendation of content that is adapted to a user's preference and situation will help the user select content. In this paper, we describe a method to realize such a system using Bayesian networks. This user-adapted mobile system is based on a user model that provides recommendation of content (i.e., restaurants, shops, and music that are suitable to the user and situation) and that learns incrementally based on accumulated usage history data. However, sufficient samples are not always guaranteed, since a user model would require combined dependency among users, situations, and contents. Therefore, we propose the LK method for modeling, which complements incomplete and insufficient samples using knowledge data, and CPT incremental learning for adaptation based on a small number of samples. In order to evaluate the methods proposed, we applied them to restaurant recommendations made on car navigation systems. The evaluation results confirmed that our model based on the LK method can be expected to provide better generalization performance than that of the conventional method. Furthermore, our system would require much less operation than current car navigation systems from the beginning of use. Our evaluation results also indicate that learning a user's individual preference through CPT incremental learning would be beneficial to many users, even with only a few samples. As a result, we have developed the technology of a system that becomes more adapted to a user the more it is used.

  19. Mobile Assisted Language Learning Experiences

    ERIC Educational Resources Information Center

    Kim, Daesang; Ruecker, Daniel; Kim, Dong-Joong

    2017-01-01

    The purpose of this study was to investigate the benefits of learning with mobile technology for TESOL students and to explore their perceptions of learning with this type of technology. The study provided valuable insights on how students perceive and adapt to learning with mobile technology for effective learning experiences for both students…

  20. Scaffolding in Connectivist Mobile Learning Environment

    ERIC Educational Resources Information Center

    Ozan, Ozlem

    2013-01-01

    Social networks and mobile technologies are transforming learning ecology. In this changing learning environment, we find a variety of new learner needs. The aim of this study is to investigate how to provide scaffolding to the learners in connectivist mobile learning environment: (1) to learn in a networked environment; (2) to manage their…

  1. Exploring Mobile Learning in the Third Space

    ERIC Educational Resources Information Center

    Schuck, Sandy; Kearney, Matthew; Burden, Kevin

    2017-01-01

    Mobile learning is enabling educators and students to learn in ways not previously possible. The ways that portable, multi-functional mobile devices can untether the learner from formal institutional learning give scope for learning to be conceptualised in an expanded variety of places, times and ways. In this conceptual article the authors…

  2. EFL College Students' Attitudes towards Mobile Learning

    ERIC Educational Resources Information Center

    Dashti, Fatimah A.; Aldashti, Abdulmohsen A.

    2015-01-01

    Recently, cell phones have received much attention in the context of EFL/ESL learning. Mobile learning, in general, and distant learning, in particular, in educational contexts has been approached by educationalist all over the world (Hwang & Chang, 2011). Presently, countries pay ample attention to mobile learning in education. Despite the…

  3. Mobile Resource Use in a Distance Learning Population: What Are They Really Doing on Those Devices?

    ERIC Educational Resources Information Center

    Gebb, Billie Anne; Young, Zach

    2014-01-01

    Mobile device use has been soaring in recent years in all user groups. Mobile learning is no longer an optional activity for academic institutions, but a necessary endeavor. Developing a curriculum around mobile learning is essential, particularly for distance-based, non-traditional students. Understanding how students use their mobile devices is…

  4. Message Design for Mobile Learning: Learning Theories, Human Cognition and Design Principles

    ERIC Educational Resources Information Center

    Wang, Minjuan; Shen, Ruimin

    2012-01-01

    The demands of an increasingly knowledge-based society and the dramatic advances in mobile phone technology are combining to spur the growth of mobile learning (mLearning). However, for mLearning to attain its full potential, it is essential to develop pedagogy and instructional design tailored to the needs of this new learning environment. At…

  5. Designing Mobile Learning Environments to Support Teacher-Led Field Trips within Informal Learning Environments

    ERIC Educational Resources Information Center

    Hawkins, Donald S.

    2016-01-01

    Mobile devices have become increasingly more visible within classrooms and informal learning spaces. The purpose of this dissertation is to examine the impact of mobile learning (m-learning) tools to support student learning during teacher-led field trips. Specifically, the research questions for this study are: (a) What conditions affect student…

  6. Mobile Technology: Implications of Its Application on Learning

    ERIC Educational Resources Information Center

    Adeyemo, Samuel Adesola; Adedoja, Gloria Olusola; Adelore, Omobola

    2013-01-01

    Learning in Nigeria is considered to have taken a new dimension as the Distance Learning Centre (DLC) of the University of Ibadan has created wider access to learning through the application of mobile technology to learning with particular reference to mobile phones use for the teaching and learning process. By this, the Centre seeks to achieve…

  7. Toward Mobile Assisted Language Learning Apps for Professionals That Integrate Learning into the Daily Routine

    ERIC Educational Resources Information Center

    Pareja-Lora, Antonio; Arús-Hita, Jorge; Read, Timothy; Rodríguez-Arancón, Pilar; Calle-Martínez, Cristina; Pomposo, Lourdes; Martín-Monje, Elena; Bárcena, Elena

    2013-01-01

    In this short paper, we present some initial work on Mobile Assisted Language Learning (MALL) undertaken by the ATLAS research group. ATLAS embraced this multidisciplinary field cutting across Mobile Learning and Computer Assisted Language Learning (CALL) as a natural step in their quest to find learning formulas for professional English that…

  8. Learning and Teaching with Mobile Devices: An Approach in Higher Secondary Education in Ghana

    ERIC Educational Resources Information Center

    Grimus, Margarete; Ebner, Martin

    2015-01-01

    While many developing nations find Internet-based e-learning unsuitable for their needs mobile learning methods--specifically those involving the use of mobile-phones for both formal and informal learning--hold great promise for them (Grimus et al, 2013b). In this paper chances and challenges introduced by mobile devices to support improvement and…

  9. Investigating the Roles of Perceived Playfulness, Resistance to Change and Self-Management of Learning in Mobile English Learning Outcome

    ERIC Educational Resources Information Center

    Huang, Rui-Ting; Jang, Syh-Jong; Machtmes, Krisanna; Deggs, David

    2012-01-01

    Although there is a growing interest in mobile learning, there are limited studies that focus on student knowledge acquisition. As applications and usages of mobile technology have become more and more accepted, it is important and meaningful that researchers and practitioners of mobile learning understand the potential factors that could…

  10. Research Trends in the Use of Mobile Learning in Mathematics

    ERIC Educational Resources Information Center

    Crompton, Helen; Burke, Diane

    2015-01-01

    The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This research was a systematic review of 36 studies in mobile learning in mathematics from the year 2000 onward. Eight new findings…

  11. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization

    PubMed Central

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-01-01

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction. PMID:28837096

  12. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization.

    PubMed

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-08-24

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device's built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction.

  13. Mobile learning in resource-constrained environments: a case study of medical education.

    PubMed

    Pimmer, Christoph; Linxen, Sebastian; Gröhbiel, Urs; Jha, Anil Kumar; Burg, Günter

    2013-05-01

    The achievement of the millennium development goals may be facilitated by the use of information and communication technology in medical and health education. This study intended to explore the use and impact of educational technology in medical education in resource-constrained environments. A multiple case study was conducted in two Nepalese teaching hospitals. The data were analysed using activity theory as an analytical basis. There was little evidence for formal e-learning, but the findings indicate that students and residents adopted mobile technologies, such as mobile phones and small laptops, as cultural tools for surprisingly rich 'informal' learning in a very short time. These tools allowed learners to enhance (a) situated learning, by immediately connecting virtual information sources to their situated experiences; (b) cross-contextual learning by documenting situated experiences in the form of images and videos and re-using the material for later reflection and discussion and (c) engagement with educational content in social network communities. By placing the students and residents at the centre of the new learning activities, this development has begun to affect the overall educational system. Leveraging these tools is closely linked to the development of broad media literacy, including awareness of ethical and privacy issues.

  14. m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.

    PubMed

    Istepanian, Robert S H; Al-Anzi, Turki

    2018-06-08

    Mobile health (m-Health) has been repeatedly called the biggest technological breakthrough of our modern times. Similarly, the concept of big data in the context of healthcare is considered one of the transformative drivers for intelligent healthcare delivery systems. In recent years, big data has become increasingly synonymous with mobile health, however key challenges of 'Big Data and mobile health', remain largely untackled. This is becoming particularly important with the continued deluge of the structured and unstructured data sets generated on daily basis from the proliferation of mobile health applications within different healthcare systems and products globally. The aim of this paper is of twofold. First we present the relevant big data issues from the mobile health (m-Health) perspective. In particular we discuss these issues from the technological areas and building blocks (communications, sensors and computing) of mobile health and the newly defined (m-Health 2.0) concept. The second objective is to present the relevant rapprochement issues of big m-Health data analytics with m-Health. Further, we also present the current and future roles of machine and deep learning within the current smart phone centric m-health model. The critical balance between these two important areas will depend on how different stakeholder from patients, clinicians, healthcare providers, medical and m-health market businesses and regulators will perceive these developments. These new perspectives are essential for better understanding the fine balance between the new insights of how intelligent and connected the future mobile health systems will look like and the inherent risks and clinical complexities associated with the big data sets and analytical tools used in these systems. These topics will be subject for extensive work and investigations in the foreseeable future for the areas of data analytics, computational and artificial intelligence methods applied for mobile health. Copyright © 2018 Elsevier Inc. All rights reserved.

  15. A Machine Learning Method for Power Prediction on the Mobile Devices.

    PubMed

    Chen, Da-Ren; Chen, You-Shyang; Chen, Lin-Chih; Hsu, Ming-Yang; Chiang, Kai-Feng

    2015-10-01

    Energy profiling and estimation have been popular areas of research in multicore mobile architectures. While short sequences of system calls have been recognized by machine learning as pattern descriptions for anomalous detection, power consumption of running processes with respect to system-call patterns are not well studied. In this paper, we propose a fuzzy neural network (FNN) for training and analyzing process execution behaviour with respect to series of system calls, parameters and their power consumptions. On the basis of the patterns of a series of system calls, we develop a power estimation daemon (PED) to analyze and predict the energy consumption of the running process. In the initial stage, PED categorizes sequences of system calls as functional groups and predicts their energy consumptions by FNN. In the operational stage, PED is applied to identify the predefined sequences of system calls invoked by running processes and estimates their energy consumption.

  16. Maximize the Mobile Learning Interaction through Project-Based Learning Activities

    ERIC Educational Resources Information Center

    Sulisworo, Dwi; Santyasa, I. Wayan

    2018-01-01

    Mobile learning implementation at school is a must and meets what students currently need. To facilitate those conditions, teachers also need to have competencies in managing online learning. This research is a descriptive research to find out the experience of students who are prospective teachers when attending the mobile learning course…

  17. Exploring Students' Progression in an Inquiry Science Curriculum Enabled by Mobile Learning

    ERIC Educational Resources Information Center

    Looi, Chee-Kit; Sun, Daner; Xie, Wenting

    2015-01-01

    The research literature reports on designs of ubiquitous and seamless learning environments enabled by the integration of mobile technology into learning. However, the lack of good pedagogical designs that provide for sustainability and the inadequate investigation of learning outcomes remain major gaps in the current studies on mobile learning.…

  18. Mobile Learning as Boundary Crossing: An Alternative Route to Technology-Enhanced Learning?

    ERIC Educational Resources Information Center

    Pimmer, Christoph

    2016-01-01

    This paper examines digital and mobile learning that goes beyond bounded communities and closed domains. While recent work from the field of mobile learning has emphasized the importance of learning across "contexts," little analytical attention has been paid to the underlying dynamics of this phenomenon. To illuminate this, the four…

  19. Situated Learning in the Mobile Age: Mobile Devices on a Field Trip to the Sea

    ERIC Educational Resources Information Center

    Pfeiffer, Vanessa D. I.; Gemballa, Sven; Jarodzka, Halszka; Scheiter, Katharina; Gerjets, Peter

    2009-01-01

    This study focuses on learning about fish biodiversity via mobile devices in a situated learning scenario. Mobile devices do not only facilitate relating the presented information to the real world in a direct way; they also allow the provision of dynamic representations on demand. This study asks whether mobile devices are suited to support…

  20. Learner Centric in M-Learning: Integration of Security, Dependability and Trust

    ERIC Educational Resources Information Center

    Mahalingam, Sheila; Abdollah, Faizal Mohd; Sahib, Shahrin

    2014-01-01

    The paper focus on learner centric attributes in a m-learning environment encounters the security measurements. In order to build up a systematic threat and countermeasure for protecting the learners as well as providing awareness and satisfaction in utilizing the mobile learning system, a security model need to be overhauled. The brief literature…

  1. Empowering Personalized Learning with an Interactive E-Book Learning System for Elementary School Students

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Liang, Tsung-Ho; Su, Yen-Ning; Chen, Nian-Shing

    2012-01-01

    Today various types of tablet computers are used, including iPad and Android Tablets. These individual portable digital devices can be used as e-book readers to support mobile personalized learning. Though many studies have investigated e-books by targeting undergraduate students, yet less attention has been paid to children. Therefore, an…

  2. Gender Differences in Mobile Phone Usage for Language Learning, Attitude, and Performance

    ERIC Educational Resources Information Center

    Hilao, Marites Piguing; Wichadee, Saovapa

    2017-01-01

    Mobile phone technology that has a huge impact on students' lives in the digital age may offer a new type of learning. The use of effective tool to support learning can be affected by the factor of gender. The current research compared how male and female students perceived mobile phones as a language learning tool, used mobile phones to learn…

  3. From teaching to learning in a mobile, wireless world.

    PubMed

    Billings, Diane M

    2005-08-01

    What research evidence justifies this shift from teaching to learning in the mobile, wireless world? We do not need evidence to answer questions such as, "Will the mobile, wireless device technology support teaching and learning?" (we already know it will), or "Will distance learning with mobile, wireless devices be as effective as that in the classroom?" (abundant evidence indicates there will be no significant differences). However, we do need to know, "How can we use these learning technologies to improve student learning and the outcomes of our academic programs?" Answers to this question will ultimately help educators prepare students to deliver safe and competent patient care in the mobile, wireless world.

  4. [Construction and Application of Innovative Education Technology Strategies in Nursing].

    PubMed

    Chao, Li-Fen; Huang, Hsiang-Ping; Ni, Lee-Fen; Tsai, Chia-Lan; Huang, Tsuey-Yuan

    2017-12-01

    The evolution of information and communication technologies has deeply impacted education reform, promoted the development of digital-learning models, and stimulated the development of diverse nursing education strategies in order to better fulfill needs and expand in new directions. The present paper introduces the intelligent-learning resources that are available for basic medical science education, problem-based learning, nursing scenario-based learning, objective structured clinical examinations, and other similar activities in the Department of Nursing at Chang Gung University of Science and Technology. The program is offered in two parts: specialized classroom facilities and cloud computing / mobile-learning. The latter includes high-fidelity simulation classrooms, online e-books, and virtual interactive simulation and augmented reality mobile-learning materials, which are provided through multimedia technology development, learning management systems, web-certificated examinations, and automated teaching and learning feedback mechanisms. It is expected that the teaching experiences that are shared in this article may be used as a reference for applying professional wisdom teaching models into nursing education.

  5. A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning.

    PubMed

    Balavivekanandhan, A; Arulchelvan, S

    2015-01-01

    The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learning, research studies have only inadequate data to identify the factors that influence their decision to adapt the mobile technology for the purpose of learning. To deal with this space, the present study was undertaken to correlate the IT skills of students with their impact on their acceptance of m-learning. The research study found that the perceived usability along with the usefulness of m-learning impacts the association between IT expertise and the objective of learners' acceptance of m-learning. A survey of 892 students from Engineering, Arts, and Science Colleges found that IT skills influence student's acquisition of m-learning technology. Specialized and advanced skills in mobile technology along with basic skills play a significant role in influencing a student to accept m-learning. But no specific substantiation has been established to support the statement that highly developed IT skills have influenced the students to accept m-learning.

  6. A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning

    PubMed Central

    Balavivekanandhan, A.; Arulchelvan, S.

    2015-01-01

    The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learning, research studies have only inadequate data to identify the factors that influence their decision to adapt the mobile technology for the purpose of learning. To deal with this space, the present study was undertaken to correlate the IT skills of students with their impact on their acceptance of m-learning. The research study found that the perceived usability along with the usefulness of m-learning impacts the association between IT expertise and the objective of learners' acceptance of m-learning. A survey of 892 students from Engineering, Arts, and Science Colleges found that IT skills influence student's acquisition of m-learning technology. Specialized and advanced skills in mobile technology along with basic skills play a significant role in influencing a student to accept m-learning. But no specific substantiation has been established to support the statement that highly developed IT skills have influenced the students to accept m-learning. PMID:26576451

  7. Optimal Sensor Management and Signal Processing for New EMI Systems

    DTIC Science & Technology

    2010-09-01

    adaptive techniques that would improve the speed of data collection and increase the mobility of a TEMTADS system. Although an active learning technique...data, SIG has simulated the active selection based on the data already collected at Camp SLO. In this setup, the active learning approach was constrained...to work only on a 5x5 grid (corresponding to twenty five transmitters and co-located receivers). The first technique assumes that active learning will

  8. Leveraging Mobile Games for Place-Based Language Learning

    ERIC Educational Resources Information Center

    Holden, Christopher L.; Sykes, Julie M.

    2011-01-01

    This paper builds on the emerging body of research aimed at exploring the educational potential of mobile technologies, specifically, how to leverage place-based, augmented reality mobile games for language learning. Mentira is the first place-based, augmented reality mobile game for learning Spanish in a local neighborhood in the Southwestern…

  9. Introduction: The Prospects for Mobile Learning

    ERIC Educational Resources Information Center

    Traxler, John; Vosloo, Steve

    2014-01-01

    The issue that this article introduces grew out of an event, the UNESCO Mobile Learning Week, but also out of a wider and growing movement of people and organisations exploiting mobile technologies, as they pursue varied educational missions. The UNESCO Mobile Learning Week represented by contributions here was a focus for contributions from…

  10. Literature on the Safe and Disruptive Learning Potential of Mobile Technologies

    ERIC Educational Resources Information Center

    Koszalka, Tiffany A.; Ntloedibe-Kuswani, G. S.

    2010-01-01

    Worldwide growth in use of mobile phones has fostered the emergence of mobile learning. Mobile technologies are used both in classrooms to support instruction (safe) and as tools that significantly change instructional activities, learner roles, and learning location (disruptive). Learners become less consumers of information and more…

  11. Toward Interactive Mobile Synchronous Learning Environment with Context-Awareness Service

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Kuo, Yen-Hung; Lin, Yen-Ting; Cheng, Shu-Chen

    2008-01-01

    Mobile synchronous learning is a new challenge in the e-learning domain. While popular mobile communication devices, such as cell phones, cannot directly accommodate traditional synchronous content due to the major limitation of display size, other constraints also restrict convenient interactions while using mobile devices in a synchronous…

  12. Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems

    ERIC Educational Resources Information Center

    Gómez-de-Gabriel, Jesús Manuel; Mandow, Anthony; Fernández-Lozano, Jesús; García-Cerezo, Alfonso

    2015-01-01

    This paper proposes lab work for learning fault detection and diagnosis (FDD) in mechatronic systems. These skills are important for engineering education because FDD is a key capability of competitive processes and products. The intended outcome of the lab work is that students become aware of the importance of faulty conditions and learn to…

  13. Intelligent transportation systems benefits, costs, and lessons learned : 2014 update report.

    DOT National Transportation Integrated Search

    2014-06-01

    Intelligent transportation systems (ITS) provide a proven set of strategies for advancing transportation safety, mobility, and environmental sustainability by integrating communication and information technology applications into the management and o...

  14. Informal mobile learning in nurse education and practice in remote areas--a case study from rural South Africa.

    PubMed

    Pimmer, Christoph; Brysiewicz, Petra; Linxen, Sebastian; Walters, Fiona; Chipps, Jennifer; Gröhbiel, Urs

    2014-11-01

    With the proliferation of portable digital technology, mobile learning is becoming increasingly popular in nursing education and practice. Most of the research in this field has been concentrated on small-scale projects in high income countries. Very little is known about the ways in which nurses and midwives use mobile technology in remote and resource poor areas in informal learning contexts in low and middle income countries. To address this gap, this study investigates whether nurses use mobile phones as effective educational tools in marginalized and remote areas, and if so, how and why. In rural South Africa, 16 nurses who attended an advanced midwifery education program, facilitators and clinical managers were interviewed about their use of digital mobile technology for learning. Techniques of qualitative content analysis were used to examine the data. Several rich "organically-grown", learning practices were identified: mobile phone usage facilitated (1) authentic problem solving; (2) reflective practice; (3) emotional support and belongingness; (4) the realization of unpredictable teaching situations; and (5) life-long learning. It is concluded that mobile phones, and the convergence of mobile phones and social media, in particular, change learning environments. In addition, these tools are suitable to connect learners and learning distributed in marginalized areas. Finally, a few suggestions are made about how these insights from informal settings can inform the development of more systematic mobile learning formats. Copyright © 2014 Elsevier Ltd. All rights reserved.

  15. Management's Perspective on Critical Success Factors Affecting Mobile Learning in Higher Education Institutions--An Empirical Study

    ERIC Educational Resources Information Center

    Alrasheedi, Muasaad; Capretz, Luiz Fernando; Raza, Arif

    2016-01-01

    Mobile learning (m-Learning) is considered to be one of the fastest growing learning platforms. The immense interest in m-Learning is attributed to the incredible rate of growth of mobile technology and its proliferation into every aspect of modern life. Despite this, m-Learning has not experienced a similar adoption rate in the education sector,…

  16. Mobile-Assisted Language Learning: Student Attitudes to Using Smartphones to Learn English Vocabulary

    ERIC Educational Resources Information Center

    Davie, Neil; Hilber, Tobias

    2015-01-01

    This project examines mobile-assisted language learning (MALL) and in particular the attitudes of undergraduate engineering students at the South Westphalia University of Applied Sciences towards the use of the smartphone app Quizlet to learn English vocabulary. Initial data on attitudes to learning languages and to the use of mobile devices to do…

  17. The Effects of Locus of Control on University Students' Mobile Learning Adoption

    ERIC Educational Resources Information Center

    Hsia, Jung-Wen

    2016-01-01

    Since mobile devices have become cheaper, easily accessible, powerful, and popular and the cost of wireless access has declined gradually, mobile learning (m-learning) has begun to spread rapidly. To further improve the effectiveness and efficiency of m-learning for university students, it is critical to understand whether they use m-learning.…

  18. Analysis of Documents Published in Scopus Database on Foreign Language Learning through Mobile Learning: A Content Analysis

    ERIC Educational Resources Information Center

    Uzunboylu, Huseyin; Genc, Zeynep

    2017-01-01

    The purpose of this study is to determine the recent trends in foreign language learning through mobile learning. The study was conducted employing document analysis and related content analysis among the qualitative research methodology. Through the search conducted on Scopus database with the key words "mobile learning and foreign language…

  19. m-Learning: Positioning Educators for a Mobile, Connected Future

    ERIC Educational Resources Information Center

    Peters, Kristine

    2007-01-01

    Mobile learning is variously viewed as a fad, a threat, and an answer to the learning needs of time-poor mobile workers, so does it have a place in delivering mainstream learning? Based on a 2005 comparative research project, commissioned by the Australian Flexible Learning Framework, the paper reports on research into Web-based information…

  20. The Mobile Learning Network: Getting Serious about Games Technologies for Learning

    ERIC Educational Resources Information Center

    Petley, Rebecca; Parker, Guy; Attewell, Jill

    2011-01-01

    The Mobile Learning Network currently in its third year, is a unique collaborative initiative encouraging and enabling the introduction of mobile learning in English post-14 education. The programme, funded jointly by the Learning and Skills Council and participating colleges and schools and supported by LSN has involved nearly 40,000 learners and…

  1. Seamless Connection between Learning and Assessment--Applying Progressive Learning Tasks in Mobile Ecology Inquiry

    ERIC Educational Resources Information Center

    Hung, Pi-Hsia; Hwang, Gwo-Jen; Lin, Yu-Fen; Wu, Tsung-Hsun; Su, I-Hsiang

    2013-01-01

    Mobile learning has been recommended for motivating students on field trips; nevertheless, owing to the complexity and the richness of the learning resources from both the real-world and the digital-world environments, information overload remains one of the major concerns. Most mobile learning designs provide feedback only for multiple choice…

  2. Using a collaborative Mobile Augmented Reality learning application (CoMARLA) to improve Improve Student Learning

    NASA Astrophysics Data System (ADS)

    Hanafi, Hafizul Fahri bin; Soh Said, Che; Hanee Ariffin, Asma; Azlan Zainuddin, Nur; Samsuddin, Khairulanuar

    2016-11-01

    This study was carried out to improve student learning in ICT course using a collaborative mobile augmented reality learning application (CoMARLA). This learning application was developed based on the constructivist framework that would engender collaborative learning environment, in which students could learn collaboratively using their mobile phones. The research design was based on the pretest posttest control group design. The dependent variable was students’ learning performance after learning, and the independent variables were learning method and gender. Students’ learning performance before learning was treated as the covariate. The sample of the study comprised 120 non-IT (non-technical) undergraduates, with the mean age of 19.5. They were randomized into two groups, namely the experimental and control group. The experimental group used CoMARLA to learn one of the topics of the ICT Literacy course, namely Computer System; whereas the control group learned using the conventional approach. The research instrument used was a set of multiple-choice questions pertaining to the above topic. Pretesting was carried out before the learning sessions, and posttesting was performed after 6 hours of learning. Using the SPSS, Analysis of Covariance (ANCOVA) was performed on the data. The analysis showed that there were main effects attributed to the learning method and gender. The experimental group outperformed the control group by almost 9%, and male students outstripped their opposite counterparts by as much as 3%. Furthermore, an interaction effect was also observed showing differential performances of male students based on the learning methods, which did not occur among female students. Hence, the tool can be used to help undergraduates learn with greater efficacy when contextualized in an appropriate setting.

  3. NeuroMind: Past, present, and future.

    PubMed

    Kubben, Pieter L

    2017-01-01

    This narrative report describes the underlying rationale and technical developments of NeuroMind, a mobile clinical decision support system for neurosurgery. From the perspective of a neurosurgeon - (app) developer it explains how technical progress has shaped the world's "most rated and highest rated" neurosurgical mobile application, with particular attention for operating system diversity on mobile hardware, cookbook medicine, regulatory affairs (in particular regarding software as a medical device), and new developments in the field of clinical data science, machine learning, and predictive analytics. Finally, the concept of "computational neurosurgery" is introduced as a vehicle to reach new horizons in neurosurgery.

  4. NeuroMind: Past, present, and future

    PubMed Central

    Kubben, Pieter L.

    2017-01-01

    This narrative report describes the underlying rationale and technical developments of NeuroMind, a mobile clinical decision support system for neurosurgery. From the perspective of a neurosurgeon – (app) developer it explains how technical progress has shaped the world's “most rated and highest rated” neurosurgical mobile application, with particular attention for operating system diversity on mobile hardware, cookbook medicine, regulatory affairs (in particular regarding software as a medical device), and new developments in the field of clinical data science, machine learning, and predictive analytics. Finally, the concept of “computational neurosurgery” is introduced as a vehicle to reach new horizons in neurosurgery. PMID:28966822

  5. A Context-Aware Solution in Mobile Language Learning

    ERIC Educational Resources Information Center

    Fatahipour, Majid; Ghaseminajm, Mahnaz

    2014-01-01

    Despite obvious benefits, some challenges exist in the way of sustainable utilization of mobile phone technology for language learning tasks. This paper shows how these challenges can be better addressed in the light of recent advancements in mobile phone technology, like context aware mobile learning, informed with a sound pedagogical basis for…

  6. A Systematic Review on Mobile Learning in Higher Education: The African Perspective

    ERIC Educational Resources Information Center

    Kaliisa, Rogers; Picard, Michelle

    2017-01-01

    The spread and popularity of mobile devices has led to their increased application in higher education. While studies have reviewed mobile learning initiatives in different contexts, none has explored this subject in Africa. This systematic review collates and compares studies published between 2010 and 2016 on mobile learning in higher education…

  7. Using Mobile Technologies to Create Interwoven Learning Interactions: An Intuitive Design and Its Evaluation

    ERIC Educational Resources Information Center

    Ting, Yu-Liang

    2013-01-01

    Numerous studies have proposed and implemented various innovative designs of mobile learning practices, and several pedagogical affordances of mobile technologies in different subject domains have also been suggested. This study proposes a notion for helping instructors design an innovative mobile learning practice in their subject domain. The…

  8. Mobile Learning with a Mobile Game: Design and Motivational Effects

    ERIC Educational Resources Information Center

    Schwabe, Gerhard; Goth, Christoph

    2005-01-01

    Mobile technologies offer the opportunity to embed learning in a natural environment. This paper describes the design of the MobileGame prototype, exploring the opportunities to support learning through an orientation game in a university setting. The paper first introduces the scenario and then describes the general architecture of the prototype.…

  9. Development and Assessment of Mobile Device Support for Certification Exam Preparation

    ERIC Educational Resources Information Center

    Moh, Chiou

    2013-01-01

    Technological innovation in mobile devices has upgraded the potential uses of the devices for living and learning. Mobile learning provides opportunities for mobile users to learn at any time in any location. A certification that confirms computing and Internet technology skills and knowledge provides more opportunities to students in higher…

  10. Influential Factors for Mobile Learning Acceptance among Chinese Users

    ERIC Educational Resources Information Center

    Hao, Shuang; Dennen, Vanessa P.; Mei, Li

    2017-01-01

    This study examines the factors that influence mobile learning adoption among Chinese university students. China's higher education market is large and mobile device ownership is considered a status symbol. Combined, these two factors suggest mobile learning could have a big impact in China. From the literature, we identified three major areas…

  11. Mobile or Not? Assessing the Instructional Value of Mobile Learning

    ERIC Educational Resources Information Center

    Nickerson, Catherine; Rapanta, Chrysi; Goby, Valerie Priscilla

    2017-01-01

    Our aim was to explore the influence of mobile learning on students' acquisition of conceptual knowledge of business communication, as well as on the development of their communication skills. We compared the performance of three groups of students according to the pedagogical approach that we used with them: a mobile learning group, a…

  12. A Review of Integrating Mobile Phones for Language Learning

    ERIC Educational Resources Information Center

    Darmi, Ramiza; Albion, Peter

    2014-01-01

    Mobile learning (m-learning) is gradually being introduced in language classrooms. All forms of mobile technology represent portability with smarter features. Studies have proven the concomitant role of technology beneficial for language learning. Various features in the technology have been exploited and researched for acquiring and learning…

  13. Research on Mobile Learning Activities Applying Tablets

    ERIC Educational Resources Information Center

    Kurilovas, Eugenijus; Juskeviciene, Anita; Bireniene, Virginija

    2015-01-01

    The paper aims to present current research on mobile learning activities in Lithuania while implementing flagship EU-funded CCL project on application of tablet computers in education. In the paper, the quality of modern mobile learning activities based on learning personalisation, problem solving, collaboration, and flipped class methods is…

  14. Emerging Vocabulary Learning: From a Perspective of Activities Facilitated by Mobile Devices

    ERIC Educational Resources Information Center

    Hu, Zengning

    2013-01-01

    This paper examines the current mobile vocabulary learning practice to discover how far mobile devices are being used to support vocabulary learning. An activity-centered perspective is undertaken, with the consideration of new practice against existing theories of learning activities including behaviorist activities, constructivist activities,…

  15. Supporting Teachers to Design and Use Mobile Collaborative Learning Games

    ERIC Educational Resources Information Center

    Marfisi-Schottman, Iza; George, Sébastien

    2014-01-01

    Mobile Collaborative Learning Games combine all the ingredients necessary to attract students' attention and engage them in learning activities. However, designing a coherent scenario that combines mobility, game mechanics and collaborative learning is quite a challenge. In this article, we take the first step by proposing several game patterns…

  16. Mobile Learning: Extreme Outcomes of "Everywhere, Anytime"

    ERIC Educational Resources Information Center

    De Simone, Giuseppe Cosimo

    2016-01-01

    Mobile learning, if considered in its most enthusiastic versions, promises to transform the world of learning. It seems that mobile devices will lead to overcome the narrow limits of the classroom to achieve ubiquitous learning. But if we analyze critically the promise of the everywhere, anytime, suspending judgment on its feasibility, interesting…

  17. Are You Ready for Mobile Learning?

    ERIC Educational Resources Information Center

    Corbeil, Joseph Rene; Valdes-Corbeil, Maria Elena

    2007-01-01

    Mobile learning is defined as the intersection of mobile computing (the application of small, portable, and wireless computing and communication devices) and e-learning (learning facilitated and supported through the use of information and communications technology). Consequently, it comes as no surprise that sooner or later people would begin to…

  18. Effects of Short-Term Memory and Content Representation Type on Mobile Language Learning

    ERIC Educational Resources Information Center

    Chen, Nian-Shing; Hsieh, Sheng-Wen; Kinshuk

    2008-01-01

    Due to the rapid advancements in mobile communication and wireless technologies, many researchers and educators have started to believe that these emerging technologies can be leveraged to support formal and informal learning opportunities. Mobile language learning can be effectively implemented by delivering learning content through mobile…

  19. Users' Behavior towards Ubiquitous M-Learning

    ERIC Educational Resources Information Center

    Suki, Norazah Mohd; Suki, Norbayah Mohd

    2011-01-01

    Mobile technologies have enabled a new way of communicating, for whom mobile communications are part of normal daily interaction. This paper explores the proposed and verified Technology Acceptance Model (TAM) that can be employed to explain the acceptance of Mobile Learning (M-learning), an activity in which users access learning material with…

  20. Reconceptualizing Design Research in the Age of Mobile Learning

    ERIC Educational Resources Information Center

    Bannan, Brenda; Cook, John; Pachler, Norbert

    2016-01-01

    The purpose of this paper is to begin to examine how the intersection of mobile learning and design research prompts the reconceptualization of research and design individually as well as their integration appropriate for current, complex learning environments. To fully conceptualize and reconceptualize design research in mobile learning, the…

  1. Behavior generation strategy of artificial behavioral system by self-learning paradigm for autonomous robot tasks

    NASA Astrophysics Data System (ADS)

    Dağlarli, Evren; Temeltaş, Hakan

    2008-04-01

    In this study, behavior generation and self-learning paradigms are investigated for the real-time applications of multi-goal mobile robot tasks. The method is capable to generate new behaviors and it combines them in order to achieve multi goal tasks. The proposed method is composed from three layers: Behavior Generating Module, Coordination Level and Emotion -Motivation Level. Last two levels use Hidden Markov models to manage dynamical structure of behaviors. The kinematics and dynamic model of the mobile robot with non-holonomic constraints are considered in the behavior based control architecture. The proposed method is tested on a four-wheel driven and four-wheel steered mobile robot with constraints in simulation environment and results are obtained successfully.

  2. Proposing a Framework for Mobile Applications in Disaster Health Learning.

    PubMed

    Liu, Alexander G; Altman, Brian A; Schor, Kenneth; Strauss-Riggs, Kandra; Thomas, Tracy N; Sager, Catherine; Leander-Griffith, Michelle; Harp, Victoria

    2017-08-01

    Mobile applications, or apps, have gained widespread use with the advent of modern smartphone technologies. Previous research has been conducted in the use of mobile devices for learning. However, there is decidedly less research into the use of mobile apps for health learning (eg, patient self-monitoring, medical student learning). This deficiency in research on using apps in a learning context is especially severe in the disaster health field. The objectives of this article were to provide an overview of the current state of disaster health apps being used for learning, to situate the use of apps in a health learning context, and to adapt a learning framework for the use of mobile apps in the disaster health field. A systematic literature review was conducted by using the PRISMA checklist, and peer-reviewed articles found through the PubMed and CINAHL databases were examined. This resulted in 107 nonduplicative articles, which underwent a 3-phase review, culminating in a final selection of 17 articles. While several learning models were identified, none were sufficient as an app learning framework for the field. Therefore, we propose a learning framework to inform the use of mobile apps in disaster health learning. (Disaster Med Public Health Preparedness. 2017;11:487-495).

  3. Inequalities and Agencies in Workplace Learning Experiences: International Student Perspectives

    ERIC Educational Resources Information Center

    Wall, Tony; Tran, Ly Thi; Soejatminah, Sri

    2017-01-01

    National systems of vocational education and training around the globe are facing reform driven by quality, international mobility, and equity. Evidence suggests that there are qualitatively distinctive challenges in providing and sustaining workplace learning experiences to international students. However, despite growing conceptual and empirical…

  4. New Trends on Mobile Learning in the Light of Recent Studies

    ERIC Educational Resources Information Center

    Korkmaz, Özgen

    2015-01-01

    Since the beginning of the century, with the introduction of mobile devices, use of the concept of mobile learning, became frequent, along with e-learning, m-learning, concept began to come on the agenda. It can be said that determining in what proportion and in which axis m-learning concept discussed in the literature would be important for…

  5. Interactive Mobile Learning: A Pilot Study of a New Approach for Sport Science and Medical Undergraduate Students

    ERIC Educational Resources Information Center

    Bruce-Low, S. S.; Burnet, S.; Arber, K.; Price, D.; Webster, L.; Stopforth, M.

    2013-01-01

    Mobile learning has increasingly become interwoven into the fabric of learning and teaching in the United Kingdom higher education sector, and as technological issues become addressed, this phenomena has accelerated. The aim of the study was to examine whether learning using a mobile learning device (Samsung NC10 Netbook) loaded with interactive…

  6. The Contrivance of Mobile Learning: An Actor-Network Perspective on the Emergence of a Research Field

    ERIC Educational Resources Information Center

    Decuypere, Mathias; Simons, Maarten; Masschelein, Jan

    2011-01-01

    The ongoing development of mobile devices like cell phones, iPods, PDAs, and so on is seen by an increasing number of educationalists as a chance to focus on a new kind of learning. This mobile learning, as it is called, should enable students to learn while on the move. Rather than giving a genealogy of the use of mobile equipment in education,…

  7. Mobile clinics in Haiti, part 2: Lessons learned through service.

    PubMed

    Haley, Janice M; Cone, Pamela H

    2016-11-01

    Learning from experience is a positive approach when preparing for mobile clinic service in a developing country. Mobile clinics provide healthcare services to people in hard to reach areas around the world, but preparation for their use needs to be done in collaboration with local leaders and healthcare providers. For over 16 years, Azusa Pacific University School of Nursing has sponsored mobile clinics to rural northern Haiti with the aim to provide culturally sensitive healthcare in collaboration with Haitian leaders. Past Haiti mobile clinic experiences have informed the APU-SON approach on best practices in study abroad, service-learning, and mission trips providing healthcare services. Hopefully, lessons learned from these experiences with mobile clinic service-learning opportunities in Haiti will benefit others who seek to plan study abroad service-learning trips for students in healthcare majors who desire to serve the underserved around the world. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Gender-related model for mobile-based learning

    NASA Astrophysics Data System (ADS)

    Simanjuntak, R. R.; Dewi, U. P.; Rifai, I.

    2018-03-01

    The study investigates gender influence on mobile-based learning. This case study of university students in Jakarta involved 235 students (128 male, 97 female). Results of this qualitative study showed 96% preference for mobile-based learning. A further 94% showed the needs for collaboration and authenticity for 92%. Hofstede’s cultural dimensions were used to identify the gender aspects of MALL. Preference for Masculinity (65%) was showed rather than Femininity (35%), even among the female respondents (70% of the population). Professions and professionalism received strongest preference (70%) while Individuality and Collectivism had equal preferences among students. Both female and male respondents requested Indulgence (84%) for mobile-based learning with more male respondents opted for Indulgence. The study provided a model for this gender sensitive mobile-based learning. Implications of implementing mobile-based learning as an ideal alternative for well-accommodated education are is also discussed.

  9. Informal Learning in Science Museum: Development and Evaluation of a Mobile Exhibit Label System with iBeacon Technology

    ERIC Educational Resources Information Center

    Chen, Guang; Xin, Youlong; Chen, Nian-Shing

    2017-01-01

    Informal science learning has drawn the attention of researchers, educators and museum administrators for a long time. However, the problem of how to better support visitors to be more engaged while visiting exhibits and improve informal science learning performance is still missing. Context-aware technologies have the advantages of fostering…

  10. The Pitfalls of Mobile Devices in Learning: A Different View and Implications for Pedagogical Design

    ERIC Educational Resources Information Center

    Ting, Yu-Liang

    2012-01-01

    Studies have been devoted to the design, implementation, and evaluation of mobile learning in practice. A common issue among students' responses toward this type of learning concerns the pitfalls of mobile devices, including small screen, limited input options, and low computational power. As a result, mobile devices are not always perceived by…

  11. Evaluating QR Code Case Studies Using a Mobile Learning Framework

    ERIC Educational Resources Information Center

    Rikala, Jenni

    2014-01-01

    The aim of this study was to evaluate the feasibility of Quick Response (QR) codes and mobile devices in the context of Finnish basic education. The feasibility was analyzed through a mobile learning framework, which includes the core characteristics of mobile learning. The study is part of a larger research where the aim is to develop a…

  12. Challenging Assumptions: Mobile Learning for Mathematics Project in South Africa

    ERIC Educational Resources Information Center

    Roberts, Nicky; Vanska, Riitta

    2011-01-01

    This article introduces the Nokia Mobile Learning for Mathematics Project in South Africa, which made use of mobile technology to support mathematics learning at 30 public secondary schools. It draws on the evaluation of this project from January to June 2010. The article discusses learner access to mobile devices, learner and teacher uptake and…

  13. Investigating Students' Behavioural Intention to Adopt and Use Mobile Learning in Higher Education in East Africa

    ERIC Educational Resources Information Center

    Mtebe, Joel S.; Raisamo, Roope

    2014-01-01

    Recent penetration of mobile technologies and its services in East Africa has provided a new platform for institutions to widen access to education through mobile learning. Mobile technologies provide learners with flexibility and ubiquity to learn anytime and anywhere via wireless Internet. However, far too little research has been conducted to…

  14. Advancing Ethics Frameworks and Scenario-Based Learning to Support Educational Research into Mobile Learning

    ERIC Educational Resources Information Center

    Andrews, Trish; Dyson, Laurel Evelyn; Wishart, Jocelyn

    2015-01-01

    The ubiquity of mobile devices and their use for collecting and sharing data require a reconsideration of approaches taken to managing ethical concerns in the educational research context. In the mobile age, the concept of educational research extends beyond traditional understandings and contexts due to: the wide range of mobile learning research…

  15. The Add-On Impact of Mobile Applications in Learning Strategies: A Review Study

    ERIC Educational Resources Information Center

    Jeng, Yu-Lin; Wu, Ting-Ting; Huang, Yueh-Min; Tan, Qing; Yang, Stephen J. H.

    2010-01-01

    Mobile devices are more powerful and portable nowadays with plenty of useful tools for assisting people to handle daily life. With the advance of mobile technology, the issue of mobile learning has been widely investigated in e-learning research. Many researches consider it is important to integrate pedagogical and technical strengths of mobile…

  16. Fostering Collaborative Learning with Mobile Web 2.0 in Semi-Formal Settings

    ERIC Educational Resources Information Center

    Mwanza-Simwami, Daisy

    2016-01-01

    Mobile Web 2.0 technologies such as: mobile apps, social networking sites and video sharing sites have become essential drivers for shaping daily activities and meeting learning needs in various settings. However, very few studies link mobile Web 2.0 to supporting collaborative learning in real-life problem solving activities in semi-formal…

  17. Mobile Learning: Can Students Really Multitask?

    ERIC Educational Resources Information Center

    Coens, Joke; Reynvoet, Bert; Clarebout, Geraldine

    2011-01-01

    The advent of mobile learning offers opportunities for students to do two things at once in an educational context: learning while performing another activity. The main aim of the reported studies is to address the effect of multitasking on learning with a mobile device. Two experiments were set up to examine the effect of performing a secondary…

  18. Developing and Implementing a Framework of Participatory Simulation for Mobile Learning Using Scaffolding

    ERIC Educational Resources Information Center

    Yin, Chengjiu; Song, Yanjie; Tabata, Yoshiyuki; Ogata, Hiroaki; Hwang, Gwo-Jen

    2013-01-01

    This paper proposes a conceptual framework, scaffolding participatory simulation for mobile learning (SPSML), used on mobile devices for helping students learn conceptual knowledge in the classroom. As the pedagogical design, the framework adopts an experiential learning model, which consists of five sequential but cyclic steps: the initial stage,…

  19. Distance Learning for Mobile Internet Users

    ERIC Educational Resources Information Center

    Necat, Beran

    2007-01-01

    This paper provides an overview on the current state of art in the field of Distance learning for mobile users. It mentions a large range of technologies, services and approaches that may be used to bring distance learning to mobile internet users. These technologies are supposed to considerably increase innovative e-learning solutions for the…

  20. Sensorimotor Distractions When Learning with Mobile Phones On-the-Move

    ERIC Educational Resources Information Center

    Castellano, Soledad; Arnedillo-Sánchez, Inmaculada

    2016-01-01

    This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive…

  1. Theoretical Implementations of Various Mobile Applications Used in English Language Learning

    ERIC Educational Resources Information Center

    Small, Melissa

    2014-01-01

    This review of the theoretical framework for Mastery Learning Theory and Sense of Community theories is provided in conjunction with a review of the literature for mobile technology in relation to language learning. Although empirical research is minimal for mobile phone technology as an aid for language learning, the empirical research that…

  2. Student Use and Pedagogical Impact of a Mobile Learning Application

    ERIC Educational Resources Information Center

    Teri, Saskia; Acai, Anita; Griffith, Douglas; Mahmoud, Qusay; Ma, David W. L.; Newton, Genevieve

    2014-01-01

    Mobile learning (m-learning) is a relevant innovation in teaching and learning in higher education. A mobile app called NutriBiochem was developed for use in biochemistry and nutrition education for students in a second year Biochemistry and Metabolism course. NutriBiochem was accessed through smartphones, tablets, or computers. Students were…

  3. Mobile-Assisted Vocabulary Learning: A Review Study

    ERIC Educational Resources Information Center

    Afzali, Parichehr; Shabani, Somayeh; Basir, Zohreh; Ramazani, Mohammad

    2017-01-01

    Mobile phones are becoming more acceptable toolkits to learn languages. One aspect of English language which has been subject to investigation in mobile-assisted language learning (MALL) is vocabulary. This study reviewed some of the studies conducted in various contexts on the effect of MALL on vocabulary learning. We investigated some of the…

  4. Ubiquitous Knowledge Construction: Mobile Learning Re-Defined and a Conceptual Framework

    ERIC Educational Resources Information Center

    Peng, Hsinyi; Su, Yi-Ju; Chou, Chien; Tsai, Chin-Chung

    2009-01-01

    Emerging from recent mobile technologies, mobile learning, or m-learning, is beginning to offer "stunning new technical capabilities" in education (DiGiano et al., 2003). This new genre of learning is viewed as a revolutionary stage in educational technology. However, ubiquitous computing technologies have given rise to several issues. This…

  5. Guidelines for Lifelong Education Management to Mobilize Learning Community

    ERIC Educational Resources Information Center

    Charungkaittikul, Suwithida

    2018-01-01

    This article is a study of the guidelines for lifelong education management to mobilize learning communities in the social-cultural context of Thailand is intended to 1) analyze and synthesize the management of lifelong learning to mobilize learning community in the social-cultural context of Thailand; and 2) propose guidelines for lifelong…

  6. Response to "Expanding Access to Learning with Mobile Digital Devices"

    ERIC Educational Resources Information Center

    Vanek, Jen

    2017-01-01

    In his article "Expanding Access to Learning with Mobile Digital Devices" (EJ1150752), Jeff Carter recommended a balanced perspective when measuring the potential of mobile learning to redefine teaching and learning for adults with basic skills needs. In response to Carter's article, the author makes some recommendations that she thinks…

  7. Tips for using mobile audience response systems in medical education

    PubMed Central

    Gousseau, Michael; Sommerfeld, Connor; Gooi, Adrian

    2016-01-01

    Background With growing evidence on the benefits of active learning, audience response systems (ARSs) have been increasingly used in conferences, business, and education. With the introduction of mobile ARS as an alternative to physical clickers, there are increasing opportunities to use this tool to improve interactivity in medical education. Aim The aim of this study is to provide strategies on using mobile ARS in medical education by discussing steps for implementation and pitfalls to avoid. Method The tips presented reflect our commentary of the literature and our experiences using mobile ARS in medical education. Results This article offers specific strategies for the preparation, implementation, and assessment of medical education teaching sessions using mobile ARS. Conclusion We hope these tips will help instructors use mobile ARS as a tool to improve student interaction, teaching effectiveness, and participant enjoyment in medical education. PMID:27942242

  8. The use of high technology in STEM education

    NASA Astrophysics Data System (ADS)

    Lakshminarayanan, Vasudevan; McBride, Annette C.

    2015-10-01

    There has been a huge increase in the use of high technology in education. In this paper we discuss some aspects of technology that have major applications in STEM education, namely, (a) virtual reality systems, (b) personal electronic response systems aka "clickers", (c) flipped classrooms, (d) mobile learning "m-Learning", (e) massive open online courses "MOOCS", (f) internet-of-things and (g) cloud computing.

  9. Mobile Phone–based Infectious Disease Surveillance System, Sri Lanka

    PubMed Central

    Sawford, Kate; Daniel, Samson L.A.; Nelson, Trisalyn A.; Stephen, Craig

    2010-01-01

    Because many infectious diseases are emerging in animals in low-income and middle-income countries, surveillance of animal health in these areas may be needed for forecasting disease risks to humans. We present an overview of a mobile phone–based frontline surveillance system developed and implemented in Sri Lanka. Field veterinarians reported animal health information by using mobile phones. Submissions increased steadily over 9 months, with ≈4,000 interactions between field veterinarians and reports on the animal population received by the system. Development of human resources and increased communication between local stakeholders (groups and persons whose actions are affected by emerging infectious diseases and animal health) were instrumental for successful implementation. The primary lesson learned was that mobile phone–based surveillance of animal populations is acceptable and feasible in lower-resource settings. However, any system implementation plan must consider the time needed to garner support for novel surveillance methods among users and stakeholders. PMID:20875276

  10. M-Learning: A Psychometric Study of the Mobile Learning Perception Scale and the Relationships between Teachers' Perceptions and School Level

    ERIC Educational Resources Information Center

    Roche, Allyn J.

    2013-01-01

    The purpose of this research was to evaluate the psychometric properties of Uzunboylu and Ozdamli (2011) Mobile Learning Perception Scale (MLPS) in order to determine whether it was an acceptable instrument to measure U.S. teachers' perception of mobile learning (m-learning) in the classroom. A second purpose was to determine if relationships…

  11. Mobile Learning as a Method of Ubiquitous Learning: Students' Attitudes, Readiness, and Possible Barriers to Implementation in Higher Education

    ERIC Educational Resources Information Center

    Alhassan, Riyadh

    2016-01-01

    The purpose of this study was to explore the attitudes and level of readiness, and possible barriers to implementing Mobile Learning as a part of ubiquitous learning. In addition, the study attempted to find out to what extent students are interested in mobile learning. It also aimed to answer the question regarding the readiness of college…

  12. Improving Students’ Motivation in Learning ICT Course With the Use of A Mobile Augmented Reality Learning Environment

    NASA Astrophysics Data System (ADS)

    Fahri Hanafi, Hafizul; Soh Said, Che; Helmy Wahab, Mohd; Samsuddin, Khairulanuar

    2017-08-01

    Studies have shown that many Malaysian non-technical students have low motivation in learning ICT course due to a number of reasons, such as a lack of learning practice and effective learning applications. In view of such a problem, the researchers carried out a quasi-experimental study to examine the impact of a novel mobile augmented reality learning application (MARLA) on students’ motivation in learning a topic of a university ICT course. The research was based on the pretest-posttest control group design, and the study sample consisted of 120 non-technical undergraduates majoring in social science, with a mean age of 19.5 years. They were divided into an experimental group and a control group. The dependent variable was students’ motivation in learning, and the independent variables were learning method and gender. The experimental group used MARLA on their mobile devices to learn one of the topics of the ICT Competency course, namely Computer System; whereas the control group used a similar application on their desktop computers. The Intrinsic Motivation Inventory (IMI) was the research instrument used to measure students’ motivation before and after learning sessions, which spanned 6 hours. Utilizing the SPSS (version 21), an analysis of covariance was performed, showing there was a main effect attributed to gender only, with male and female students attaining mean scores of 4.24 and 3.90 respectively for the motivation construct. This finding showed male students were more motivated than their opposite counterparts. In contrast, no such main effect attributed to learning method was observed, as evidenced from the mean scores of 4.08 and 4.07 of the experimental group and control group respectively for the measured construct, suggesting both methods were both equally effective. Additionally, there was an interaction effect between gender and learning method, with male students attaining different levels of motivation based on learning method. Arguably, such a mobile learning tool can be used to help non-technical undergraduates learn with greater motivation, but its success will rely on proper planning and implementation by considering students’ demographic background.

  13. Exploration of Tensions in a Mobile-Technology Supported Fieldtrip: An Activity Theory Perspective

    ERIC Educational Resources Information Center

    Lai, Chih-Hung; Chen, Fei-Ching; Yang, Jie-Chi

    2014-01-01

    The purpose of this study was to analyze how mobile technologies were incorporated and implemented in an outdoor learning activity. Two classes of primary school students participated in the experiment. Using activity theory as an analytical framework, it is found that underlying tensions provided rich insights into system dynamics and that…

  14. The educational effects of mobile learning on students of medical sciences: A systematic review in experimental studies.

    PubMed

    Koohestani, Hamid Reza; Soltani Arabshahi, Seyed Kamran; Fata, Ladan; Ahmadi, Fazlollah

    2018-04-01

    The demand for mobile learning in the medical science educational program is increasing. The present review study gathers evidence highlighted by the experimental studies on the educational effects of mobile learning for medical science students. The study was carried out as a systematic literature search published from 2007 to July 2017 in the databases PubMed/Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Knowledge (Thomson Reuters) , Educational Resources and Information Center (ERIC), EMBASE (Elsevier), Cochrane library, PsycINFO and Google Scholar. To examine quality of the articles, a tool validated by the BEME Review was employed. Totally, 21 papers entered the study. Three main themes emerged from the content of papers: (1) improvement in student clinical competency and confidence, (2) acquisition and enhancing of students' theoretical knowledge, and (3) students' positive attitudes to and perception of mobile learning. Level 2B of Kirkpatrick hierarchy had been examined by all the papers and seven of them had reported two or more outcome levels, but level 4 was not reported in the papers. Our review showed that the students of medical sciences had positive response and attitudes to mobile learning. Moreover, implementation of mobile learning in medical sciences program might lead to valuable educational benefits and improve clinical competence and confidence along with theoretical knowledge, attitudes, and perception of mobile learning. The results indicated that mobile learning strategy in medical education can positively affect learning in all three domains of Bloom's Taxonomy.

  15. Development and training of a learning expert system in an autonomous mobile robot via simulation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Spelt, P.F.; Lyness, E.; DeSaussure, G.

    1989-11-01

    The Center for Engineering Systems Advanced Research (CESAR) conducts basic research in the area of intelligent machines. Recently at CESAR a learning expert system was created to operate on board an autonomous robot working at a process control panel. The authors discuss two-computer simulation system used to create, evaluate and train this learning system. The simulation system has a graphics display of the current status of the process being simulated, and the same program which does the simulating also drives the actual control panel. Simulation results were validated on the actual robot. The speed and safety values of using amore » computerized simulator to train a learning computer, and future uses of the simulation system, are discussed.« less

  16. A Mobile Game-Based English Vocabulary Practice System Based on Portfolio Analysis

    ERIC Educational Resources Information Center

    Wu, Ting-Ting; Huang, Yueh-Min

    2017-01-01

    English learning has become a vital educational strategy in many non-English-speaking countries. Vocabulary is a critical element for language learners. Therefore, developing sufficient vocabulary knowledge enables effective communication. However, learning a foreign language is difficult and stressful. In addition, memorizing English vocabulary…

  17. Moving Edtech Forward: Upstart School Networks Are Betting on a Breakthrough

    ERIC Educational Resources Information Center

    Horn, Michael B.

    2016-01-01

    The digital revolution occurring in schools has focused predominantly on online education in its various forms--including fully online courses, learning management systems, games, and mobile applications--to personalize learning and boost the performance of all students. Companies have been experimenting with technologies for years, yet these…

  18. Transforming clinical imaging and 3D data for virtual reality learning objects: HTML5 and mobile devices implementation.

    PubMed

    Trelease, Robert B; Nieder, Gary L

    2013-01-01

    Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.

  19. Decentralized reinforcement-learning control and emergence of motion patterns

    NASA Astrophysics Data System (ADS)

    Svinin, Mikhail; Yamada, Kazuyaki; Okhura, Kazuhiro; Ueda, Kanji

    1998-10-01

    In this paper we propose a system for studying emergence of motion patterns in autonomous mobile robotic systems. The system implements an instance-based reinforcement learning control. Three spaces are of importance in formulation of the control scheme. They are the work space, the sensor space, and the action space. Important feature of our system is that all these spaces are assumed to be continuous. The core part of the system is a classifier system. Based on the sensory state space analysis, the control is decentralized and is specified at the lowest level of the control system. However, the local controllers are implicitly connected through the perceived environment information. Therefore, they constitute a dynamic environment with respect to each other. The proposed control scheme is tested under simulation for a mobile robot in a navigation task. It is shown that some patterns of global behavior--such as collision avoidance, wall-following, light-seeking--can emerge from the local controllers.

  20. Transformation of Teacher Practice Using Mobile Technology with One-to-One Classes: M-Learning Pedagogical Approaches

    ERIC Educational Resources Information Center

    Lindsay, Lucie

    2016-01-01

    The rapid global uptake of mobile technology is reflected in pioneering New Zealand schools. Teachers of classes where each student uses a mobile device were surveyed on how frequently they use various mobile learning activities and asked to describe the new pedagogical opportunities it offers. The teachers' m-learning pedagogical approaches and…

  1. The Influence of Students' ICT Skills and their Adoption of Mobile Learning

    ERIC Educational Resources Information Center

    Mac Callum, Kathryn; Jeffrey, Lynn

    2013-01-01

    Mobile technology has gained increased focus in academic circles as a way to enable learning that is not confined by time and place. As the benefits of mobile learning are being clarified so too will researchers need to understand the factors that influence its future use. The adoption of mobile technology will largely depend on whether students…

  2. Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students

    ERIC Educational Resources Information Center

    Chang, Chi-Cheng; Yan, Chi-Fang; Tseng, Ju-Shih

    2012-01-01

    Since convenience is one of the features for mobile learning, does it affect attitude and intention of using mobile technology? The technology acceptance model (TAM), proposed by David (1989), was extended with perceived convenience in the present study. With regard to English language mobile learning, the variables in the extended TAM and its…

  3. Mobile Devices: Toys or Learning Tools for the 21st Century Teenagers?

    ERIC Educational Resources Information Center

    Kee, Ch'ng Lay; Samsudin, Zarina

    2014-01-01

    Learning is interwoven in daily life and so it can be take place at anytime and anywhere by using mobile device. In the 21st century, mobile devices have become ubiquitous, affordable and accessible for the teenagers. The teenagers have the opportunity to perform the learning activities by using the mobile devices. However, what are they used…

  4. Mobile Game-Based Learning in Secondary Education: Engagement, Motivation and Learning in a Mobile City Game

    ERIC Educational Resources Information Center

    Huizenga, J.; Admiraal, W.; Akkerman, S.; Dam, G. ten

    2009-01-01

    Using mobile games in education combines situated and active learning with fun in a potentially excellent manner. The effects of a mobile city game called Frequency 1550, which was developed by The Waag Society to help pupils in their first year of secondary education playfully acquire historical knowledge of medieval Amsterdam, were investigated…

  5. Mobile Blogs in Language Learning: Making the Most of Informal and Situated Learning Opportunities

    ERIC Educational Resources Information Center

    Comas-Quinn, Anna; Mardomingo, Raquel; Valentine, Chris

    2009-01-01

    The application of mobile technologies to learning has the potential to facilitate the active participation of learners in the creation and delivery of content. Mobile technologies can also provide a powerful connection between a variety of formal and informal learning contexts and can help to build a community of learners. However these versatile…

  6. Impact of Contextuality on Mobile Learning Acceptance: An Empirical Study Based on a Language Learning App

    ERIC Educational Resources Information Center

    Böhm, Stephan; Constantine, Georges Philip

    2016-01-01

    Purpose: This paper aims to focus on contextualized features for mobile language learning apps. The scope of this paper is to explore students' perceptions of contextualized mobile language learning. Design/Methodology/Approach: An extended Technology Acceptance Model was developed to analyze the effect of contextual app features on students'…

  7. Taking an Instrumental Genesis Lens: New Insights into Collaborative Mobile Learning

    ERIC Educational Resources Information Center

    Cerratto Pargman, Teresa; Nouri, Jalal; Milrad, Marcelo

    2018-01-01

    In this paper, we argue that in order to gain a deeper understanding of collaborative mobile learning in schools, it is important to know not only how mobile devices affect collaborative learning but also how collaborative learning emerges and is mediated by these devices. We develop our argument by applying the instrumental genesis theory and the…

  8. Learning and Teaching with Mobile Devices an Approach in Secondary Education in Ghana

    ERIC Educational Resources Information Center

    Grimus, Margarete; Ebner, Martin

    2014-01-01

    While many developing nations find Internet-based e-learning unsuitable for their needs (lack of technology as well as of accessibility), mobile learning methods--specifically those involving the use of mobile-phones for both formal and informal learning--hold great promise for them (Grimus et al, 2013b). This article examines the chances and…

  9. Is Mobile Learning the Future of 21st Century Education? Educational Considerations from Various Perspectives

    ERIC Educational Resources Information Center

    Lahiri, Minakshi; Moseley, James L.

    2012-01-01

    One of the key trends currently affecting the practices of teaching, learning, and creative inquiry, as mentioned in "The 2011 Horizon Report," is that learners prefer flexibility and mobility. Mobile learning is gaining popularity as an emerging trend facilitating the process of teaching and learning in the 21st Century. Research indicates…

  10. Educational Leapfrogging in the mLearning Time

    ERIC Educational Resources Information Center

    Ibrahim Suleiman, Abdel Rahman

    2014-01-01

    In this theoretical study, the researcher tries to shed light on the modern strategy of education, Mobile learning is this strategy, which has become a reality that exists in the educational institutions and aims researcher of this study. Trying to figure out the reality of Mobil Determining if the mobile learning is part of the E-Learning. Trying…

  11. How the Young Generation Uses Digital Textbooks via Mobile Learning Terminals: Measurement of Elementary School Students in China

    ERIC Educational Resources Information Center

    Sun, Zhong; Jiang, Yuzhen

    2015-01-01

    Digital textbooks that offer multimedia features, interactive controls, e-annotation and learning process tracking are gaining increasing attention in today's mobile learning era, particularly with the rapid development of mobile learning terminals such as Apple's iPad series and Android-based models. Accordingly, this study explores how…

  12. Motivating PAU Language Testing Candidates through Mobile Technology

    ERIC Educational Resources Information Center

    Gimenez Lopez, Jose Luis; Garcia Laborda, Jesus; Magal Royo, M. Teresa

    2011-01-01

    Mobile learning permits combining the most motivating elements of online learning. When becoming a supplement to face-to-face education, it is likely to become a most motivating achievement in e-learning. Up to now, little interest and work has been posed in proposing mobile learning as a supporting element for language testing. In this paper, we…

  13. The Design and Implementation of Authentic Learning with Mobile Technology in Vocational Nursing Practice Course

    ERIC Educational Resources Information Center

    Pu, Ying-Hung; Wu, Ting-Ting; Chiu, Po-Sheng; Huang, Yueh-Min

    2016-01-01

    In recent years, along with the development of mobile technology, vocational nursing education has improved greatly. In light of this emerging mobile technology, it brings the clinical practice of vocational nursing education closer to authentic learning than ever. In fact, some studies revealed that learners' learn states and learning outcomes…

  14. My Pocket Technology: Introducing a Mobile Assisted Inquiry Learning Environment (MAILE) to Promote Inquiries among Secondary Students

    ERIC Educational Resources Information Center

    Leelamma, Sreelekha; Indira, Uma Devi

    2017-01-01

    This paper introduces the Mobile Assisted Inquiry Learning Environment (MAILE), an Experimental Instructional Strategy (EIS) which employs an inquiry-based learning approach to guide secondary school students to learn environmental science in an engaging way supported by mobile phones. The students are situated in both the real world and the…

  15. Intrigue at the Museum: Facilitating Engagement and Learning through a Location-Based Mobile Game

    ERIC Educational Resources Information Center

    Xhembulla, Jetmir; Rubino, Irene; Barberis, Claudia; Malnati, Giovanni

    2014-01-01

    The use of portable devices to explore informal learning environments has recently exposed museums to a mobile learning (m-learning) scenario. In particular, location-based mobile applications that take into account not only a specific physical venue, but also the personal and social context can be valuable resources to enhance the visitor…

  16. Mobile Apps for Reflection in Learning: A Design Research in K-12 Education

    ERIC Educational Resources Information Center

    Leinonen, Teemu; Keune, Anna; Veermans, Marjaana; Toikkanen, Tarmo

    2016-01-01

    This study takes a design-based research approach to explore how applications designed for mobile devices could support reflection in learning in K-12 education. Use of mobile devices is increasing in schools. Most of the educational apps support single-person use of interactive learning materials, simulations and learning games. Apps designed to…

  17. Implementation Fest: The Last Decade

    DTIC Science & Technology

    2010-08-01

    architectures New Learning Technologies  Simulations, games, and virtual world  Mobile systems  Performance support, S1000D tech manuals  Intelligent...Darwars Ambush (ECS) Gator 6 (Will Interactive) Games Today 22 VBS2 Enhanced Learning Environment using Creative Technology – Bilateral Negotiations...5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Advanced Decision Learning (ADL),1901 N. Beauregard Street Suite 600

  18. Making the CARE Comprehensive Geriatric Assessment as the Core of a Total Mobile Long Term Care Support System in China.

    PubMed

    Cui, Yanyan; Gong, Dongwei; Yang, Bo; Chen, Hua; Tu, Ming-Hsiang; Zhang, Chaonan; Li, Huan; Liang, Naiwen; Jiang, Liping; Chang, Polun

    2018-01-01

    Comprehensive Geriatric Assessments (CGAs) have been recommended to be used for better monitoring the health status of elder residents and providing quality care. This study reported how our nurses perceived the usability of CGA component of a mobile integrated-care long term care support system developed in China. We used the Continuity Assessment Record and Evaluation (CARE), developed in the US, as the core CGA component of our Android-based support system, in which apps were designed for all key stakeholders for delivering quality long term care. A convenience sample of 18 subjects from local long term care facilities in Shanghai, China were invited to assess the CGA assessment component in terms of Technology Acceptance Model for Mobile based on real field trial assessment. All (100%) were satisfied with the mobile CGA component. 88.9% perceived the system was easy to learn and use. 99.4% showed their willingness to use for their work. We concluded it is technically feasible to implement a CGA-based mobile integrated care support system in China.

  19. Visual object recognition for mobile tourist information systems

    NASA Astrophysics Data System (ADS)

    Paletta, Lucas; Fritz, Gerald; Seifert, Christin; Luley, Patrick; Almer, Alexander

    2005-03-01

    We describe a mobile vision system that is capable of automated object identification using images captured from a PDA or a camera phone. We present a solution for the enabling technology of outdoors vision based object recognition that will extend state-of-the-art location and context aware services towards object based awareness in urban environments. In the proposed application scenario, tourist pedestrians are equipped with GPS, W-LAN and a camera attached to a PDA or a camera phone. They are interested whether their field of view contains tourist sights that would point to more detailed information. Multimedia type data about related history, the architecture, or other related cultural context of historic or artistic relevance might be explored by a mobile user who is intending to learn within the urban environment. Learning from ambient cues is in this way achieved by pointing the device towards the urban sight, capturing an image, and consequently getting information about the object on site and within the focus of attention, i.e., the users current field of view.

  20. Transform Modern Language Learning through Mobile Devices

    ERIC Educational Resources Information Center

    Tuttle, Harry Grover

    2013-01-01

    College professors can transform their modern language classes through mobile devices. Their students' learning becomes more active, more personalized, more contextual, and more culturally authentic as illustrated through the author's modern language mobile learning classroom examples. In addition, their students engage in many diverse types of…

  1. Incorporating Mobile Learning into Athletic Training Education

    ERIC Educational Resources Information Center

    Davie, Emily

    2009-01-01

    Objective: To introduce and present techniques for incorporating mobile learning into athletic training education. Background: The matriculation of digital natives into college has stimulated the identification and development of new teaching and learning strategies. Electronic learning (e-learning), including the use of learning management…

  2. Geo-targeted Weather Alerts Coming to Millions of Mobile Devices

    NASA Astrophysics Data System (ADS)

    Gerber, M.

    2011-12-01

    The Personal Localized Alert Network (PLAN), aka Commercial Mobile Alert System (CMAS), is readying for roll out and will be broadcasting emergency public alerts to millions of cell phones by the middle of 2012. Learn how the National Weather Serivce (NWS) is supplying PLAN with geo-referenced weather alert information in the industry standard Common Alerting Protocol (CAP) format and how you can access this same information for integration with mobile devices, other consumer electronics, and decision support systems. Information will also be provided on the NWS' new collaborative venue that encourages wide participation in the evolution and use of NWS CAP alerts in a variety of applications.

  3. The Use of Mobile Games in Formal and Informal Learning Environments: A Review of the Literature

    ERIC Educational Resources Information Center

    Koutromanos, George; Avraamidou, Lucy

    2014-01-01

    Our purpose in this paper is to review studies that explored the impact of the use of mobile games in both formal and informal learning environments. Through a review of studies on mobile learning that have been published between 2000 and 2013, we aim to identify the ways in which researchers used mobile games in a variety of learning…

  4. How Do Students Use Their Mobile Devices to Support Learning? A Case Study from an Australian Regional University

    ERIC Educational Resources Information Center

    Farley, Helen; Murphy, Angela; Johnson, Chris; Carter, Brad; Lane, Michael; Midgley, Warren; Hafeez-Baig, Abdul; Dekeyser, Stijn; Koronios, Andy

    2015-01-01

    Though universities are eager to leverage the potential of mobile learning to provide learning flexibly, most balk at the cost of providing students with mobile hardware. The practice of "bring your own device" (BYOD) is often mooted as a cost-effective alternative. This paper provides a snapshot of student ownership of mobile devices at…

  5. Language Learners Perceptions and Experiences on the Use of Mobile Applications for Independent Language Learning in Higher Education

    ERIC Educational Resources Information Center

    Niño, Ana

    2015-01-01

    With the widespread use of mobile phones and portable devices it is inevitable to think of Mobile Assisted Language Learning as a means of independent learning in Higher Education. Nowadays many learners are keen to explore the wide variety of applications available in their portable and always readily available mobile phones and tablets. The fact…

  6. Evolution of intelligent transportation systems for mobility management and coordination serving California's rural frontier.

    DOT National Transportation Integrated Search

    2012-01-01

    This report documents the evolution, development, and lessons learned while attempting to identify, modify, and deploy Intelligent Transportation System (ITS) and advanced technology tools to facilitate coordination of public transit and social (huma...

  7. Towards a model of temporal attention for on-line learning in a mobile robot

    NASA Astrophysics Data System (ADS)

    Marom, Yuval; Hayes, Gillian

    2001-06-01

    We present a simple attention system, capable of bottom-up signal detection adaptive to subjective internal needs. The system is used by a robotic agent, learning to perform phototaxis and obstacle avoidance by following a teacher agent around a simulated environment, and deciding when to form associations between perceived information and imitated actions. We refer to this kind of decision-making as on-line temporal attention. The main role of the attention system is perception of change; the system is regulated through feedback about cognitive effort. We show how different levels of effort affect both the ability to learn a task, and to execute it.

  8. The educational effects of mobile learning on students of medical sciences: A systematic review in experimental studies

    PubMed Central

    KOOHESTANI, HAMID REZA; SOLTANI ARABSHAHI, SEYED KAMRAN; FATA, LADAN; AHMADI, FAZLOLLAH

    2018-01-01

    Introduction: The demand for mobile learning in the medical science educational program is increasing. The present review study gathers evidence highlighted by the experimental studies on the educational effects of mobile learning for medical science students. Methods: The study was carried out as a systematic literature search published from 2007 to July 2017 in the databases PubMed/Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Knowledge (Thomson Reuters) , Educational Resources and Information Center (ERIC), EMBASE (Elsevier), Cochrane library, PsycINFO and Google Scholar. To examine quality of the articles, a tool validated by the BEME Review was employed. Results: Totally, 21 papers entered the study. Three main themes emerged from the content of papers: (1) improvement in student clinical competency and confidence, (2) acquisition and enhancing of students' theoretical knowledge, and (3) students' positive attitudes to and perception of mobile learning. Level 2B of Kirkpatrick hierarchy had been examined by all the papers and seven of them had reported two or more outcome levels, but level 4 was not reported in the papers. Conclusion: Our review showed that the students of medical sciences had positive response and attitudes to mobile learning. Moreover, implementation of mobile learning in medical sciences program might lead to valuable educational benefits and improve clinical competence and confidence along with theoretical knowledge, attitudes, and perception of mobile learning. The results indicated that mobile learning strategy in medical education can positively affect learning in all three domains of Bloom’s Taxonomy. PMID:29607333

  9. Co-Designing Mobile Apps to Assist in Clinical Nursing Education: A Study Protocol.

    PubMed

    O'Connor, Siobhan; Andrews, Tom

    2016-01-01

    Mobile applications (apps) to train health professionals is gaining momentum as the benefits of mobile learning (mLearning) are becoming apparent in complex clinical environments. However, most educational apps are generic, off-the-shelf pieces of software that do not take into consideration the unique needs of nursing students. The proposed study will apply a user-centred design process to create a tailored mobile app for nursing students to learn and apply clinical skills in practice. The app will be piloted and evaluated to understand how nursing students use mobile technology in clinical settings to support their learning and educational needs.

  10. The Potential Use of Mobile Technology: Enhancing Accessibility and Communication in a Blended Learning Course

    ERIC Educational Resources Information Center

    Mayisela, Tabisa

    2013-01-01

    Mobile technology is increasingly being used to support blended learning beyond computer centres. It has been considered as a potential solution to the problem of a shortage of computers for accessing online learning materials (courseware) in a blended learning course. The purpose of the study was to establish how the use of mobile technology…

  11. Working Memory Capacity and Mobile Multimedia Learning Environments: Individual Differences in Learning While Mobile

    ERIC Educational Resources Information Center

    Doolittle, Peter E.; Mariano, Gina J.

    2008-01-01

    The present study examined the effects of individual differences in working memory capacity (WMC) on learning from an historical inquiry multimedia tutorial in stationary versus mobile learning environments using a portable digital media player (i.e., iPod). Students with low (n = 44) and high (n = 40) working memory capacity, as measured by the…

  12. Augmented Reality and Mobile Learning: The State of the Art

    ERIC Educational Resources Information Center

    FitzGerald, Elizabeth; Ferguson, Rebecca; Adams, Anne; Gaved, Mark; Mor, Yishay; Thomas, Rhodri

    2013-01-01

    In this paper, the authors examine the state of the art in augmented reality (AR) for mobile learning. Previous work in the field of mobile learning has included AR as a component of a wider toolkit but little has been done to discuss the phenomenon in detail or to examine in a balanced fashion its potential for learning, identifying both positive…

  13. Pedagogies, Perspectives, and Practices: Mobile Learning through the Experiences of Faculty Developers and Instructional Designers in Centers for Teaching and Learning

    ERIC Educational Resources Information Center

    Hosler, Kim A.

    2013-01-01

    The purpose of this qualitative case study was to explore the experiences, perceptions, and pedagogy of nine self-identified faculty developers and instructional designers who work in centers for teaching and learning supporting faculty members requesting assistance with mobile learning. With the ever-increasing use of mobile devices across…

  14. Mobile Learning and English Language Learners: A Case Study of Using iPod Touch as a Teaching and Learning Tool

    ERIC Educational Resources Information Center

    Liu, Min; Navarrete, Cesar; Maradiegue, Erin; Wivagg, Jennifer

    2014-01-01

    Educators have become increasingly interested in the learning benefits that mobile technology can provide to students in and out of classrooms. While there is considerable enthusiasm for using mobile devices to support learning with their multimedia capabilities, portability, connectivity, and flexibility, there is a paucity of research evidence…

  15. Mobile Web 2.0 in the Workplace: A Case Study of Employees' Informal Learning

    ERIC Educational Resources Information Center

    Gu, Jia; Churchill, Daniel; Lu, Jie

    2014-01-01

    Employees' informal learning in the workplace warrants more attention, and such learning could benefit from the latest mobile technologies such as Web 2.0 applications, which have increasingly been utilized and have the potential to enhance learning outcomes. This multiple-case study examined the impact of mobile Web 2.0 applications on…

  16. Instructional Competencies Needed to Develop Instructional Strategies for Mobile Learning in Fields of Agricultural Education

    ERIC Educational Resources Information Center

    Irby, Travis; Strong, Robert

    2015-01-01

    Mobile learning is an evolving form of technology-based learning. The novelty of mobile learning gives educators a new tool for evaluating how to develop effective instruction for this new medium. A Delphi study was conducted using a 30-member panel comprised of experts across 20 states. The purpose was to determine the competencies needed to…

  17. User Acceptance of Mobile Technology: A Campus-Wide Implementation of Blackboard's Mobile™ Learn Application

    ERIC Educational Resources Information Center

    Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin

    2013-01-01

    Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…

  18. OCRA, a Mobile Learning Prototype for Understanding Chemistry Concepts

    ERIC Educational Resources Information Center

    Shariman, Tenku Putri Norishah; Talib, Othman

    2017-01-01

    This research studies the effects of an interactive multimedia mobile learning application on students' understanding of chemistry concepts. The Organic Chemistry Reaction Application (OCRA), a mobile learning prototype with touch screen commands, was applied in this research. Through interactive multimedia techniques, students can create and…

  19. Mobile Learning and Early Age Mathematics

    ERIC Educational Resources Information Center

    Peled, Shir; Schocken, Shimon

    2014-01-01

    The ability to develop engaging simulations and constructive learning experiences using mobile devices is unprecedented, presenting a disruption in educational practices of historical proportions. In this paper we describe some of the unique virtues that mobile learning hold for early age mathematics education. In particular, we describe how…

  20. Investigating and Critiquing Teacher Educators' Mobile Learning Practices

    ERIC Educational Resources Information Center

    Burden, Kevin John; Kearney, Matthew

    2017-01-01

    Purpose: This study aims to investigate contemporary mobile learning practices in teacher education, exploring the following research question: how are teacher educators exploiting the pedagogical features of mobile learning? Design/methodology/approach: The study uses data from an online survey that elicited information about how 46 teacher…

  1. [A Maternal Health Care System Based on Mobile Health Care].

    PubMed

    Du, Xin; Zeng, Weijie; Li, Chengwei; Xue, Junwei; Wu, Xiuyong; Liu, Yinjia; Wan, Yuxin; Zhang, Yiru; Ji, Yurong; Wu, Lei; Yang, Yongzhe; Zhang, Yue; Zhu, Bin; Huang, Yueshan; Wu, Kai

    2016-02-01

    Wearable devices are used in the new design of the maternal health care system to detect electrocardiogram and oxygen saturation signal while smart terminals are used to achieve assessments and input maternal clinical information. All the results combined with biochemical analysis from hospital are uploaded to cloud server by mobile Internet. Machine learning algorithms are used for data mining of all information of subjects. This system can achieve the assessment and care of maternal physical health as well as mental health. Moreover, the system can send the results and health guidance to smart terminals.

  2. A Flexible Mobile Education System Approach

    ERIC Educational Resources Information Center

    Baloglu, Arzu

    2007-01-01

    Distance learning is appealing to small business owners, employees, municipalities, state establishments, non-governmental organizations. Distance-learning are ideal for people who have a full-time job or other commitments, who can't take time off to study full time. This might be a professional who needs to update his knowledge or skills, or a…

  3. Research on the Correlations among Mobile Learning Perception, Study Habits, and Continuous Learning

    ERIC Educational Resources Information Center

    Wu, Wen-Chun; Perng, Yeng-Hong

    2016-01-01

    In addition to the rapidly developed Internet information technology, the admission to secondary schools has changed from single entry to multiple entries, among which the performance of Basic Competence Test and at schools have replaced Joint University Programs Admissions System. Traditional instruction therefore could no longer cope with such…

  4. Mobile learning to improve mathematics teachers mathematical competencies

    NASA Astrophysics Data System (ADS)

    Hendrayana, A.; Wahyudin

    2018-01-01

    The role of teachers is crucial to the success of mathematics learning. One of the learning indicator is characterized by the students’ improved mathematical proficiency. In order to increase that, it is necessary to improve the teacher’s mathematical skills first. For that, it needs an innovative way to get teachers close to easily accessible learning resources through technology. The technology can facilitate teachers to access learning resources anytime and anywhere. The appropriate information technology is mobile learning. Innovations that can make teachers easy to access learning resources are mobile applications that can be accessed anytime and anywhere either online or offline. The research method was research development method. In preliminary analysis, subjects consist of teachers and lecturers in professional teacher education program. The results that the teachers ready to adopt mobile-learning for the improvement of their skills.

  5. Knowledge Transfer in Health Care Through Digitally Collecting Learning Experiences - Results of Witra Care.

    PubMed

    Behrends, Marianne; Kupka, Thomas; Schmeer, Regina; Meyenburg-Altwarg, Iris; Marschollek, Michael

    2016-01-01

    The goal of the project Witra Care was to investigate how far the use of mobile technology is suitable to collect experience-based knowledge of nurses. Nine new employees and seven experienced nurses received for six weeks a mobile phone or a tablet pc with a mobile application that allowed them to collect learning object as pictures, videos, audio files or notes. In Witra Care the nurses created 303 learning objects. They have found the collecting of learning experiences was helpful for their learning processes. The learning objects demonstrate various aspects of daily routines in nursing. The results of Witra Care show that the documentation of learning experiences with mobile devices helps to gather information about the practical knowledge in the daily work of nurses, identifies individual learning needs of the employees and supports them in their personal learning processes.

  6. A Petri-net coordination model for an intelligent mobile robot

    NASA Technical Reports Server (NTRS)

    Wang, F.-Y.; Kyriakopoulos, K. J.; Tsolkas, A.; Saridis, G. N.

    1990-01-01

    The authors present a Petri net model of the coordination level of an intelligent mobile robot system (IMRS). The purpose of this model is to specify the integration of the individual efforts on path planning, supervisory motion control, and vision systems that are necessary for the autonomous operation of the mobile robot in a structured dynamic environment. This is achieved by analytically modeling the various units of the system as Petri net transducers and explicitly representing the task precedence and information dependence among them. The model can also be used to simulate the task processing and to evaluate the efficiency of operations and the responsibility of decisions in the coordination level of the IMRS. Some simulation results on the task processing and learning are presented.

  7. Review of Research on Mobile Language Learning in Authentic Environments

    ERIC Educational Resources Information Center

    Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min

    2017-01-01

    We reviewed literature from 2007 to 2016 (March) on mobile language learning in authentic environments. We aimed to understand publications' trend, research focus, technology used, methodology, and current issues. Our results showed that there was increasing trend in the publications. Students' perceptions towards mobile learning technologies and…

  8. Language Learning Podcasts and Learners' Belief Change

    ERIC Educational Resources Information Center

    Basaran, Süleyman; Cabaroglu, Nese

    2014-01-01

    The ubiquitous use of Internet-based mobile devices in educational contexts means that mobile learning has become a plausible alternative to or a good complement for conventional classroom-based teaching. However, there is a lack of research that explores and defines the characteristics and effects of mobile language learning (LL) through language…

  9. Students' Perceptions and Experiences of Mobile Learning

    ERIC Educational Resources Information Center

    Kim, Daesang; Rueckert, Daniel; Kim, Dong-Joong; Seo, Daeryong

    2013-01-01

    This study focused on how students perceive the use of mobile devices to create a personalized learning experience outside the classroom. Fifty-three students in three graduate TESOL classes participated in this study. All participants completed five class projects designed to help them explore mobile learning experiences with their own mobile…

  10. Does Proactive Personality Matter in Mobile Learning?

    ERIC Educational Resources Information Center

    Huang, Rui-Ting; Tang, Tzy-Wen; Lee, Yi Ping; Yang, Fang-Ying

    2017-01-01

    Increasing attention has been paid to mobile learning studies. However, there is still a dearth of studies investigating the moderating effect of proactive personality on mobile learning achievements. Accordingly, the primary purpose of this study is not only to investigate the key elements that could improve the effectiveness and efficiency of…

  11. Analyzing the Effects of Context-Aware Mobile Design Principles on Student Learning

    ERIC Educational Resources Information Center

    Seneca, Eric

    2014-01-01

    The adoption of mobile technology is rapidly transforming how individuals obtain information. Learning occurs when content is accessed in a recursive process of awareness, exploration, reflection and resolution within one's social context. Specifically, the most visible, current definitions of mobile learning provide an overview of the learning…

  12. Effectiveness of Mobile Learning in Distance Education

    ERIC Educational Resources Information Center

    Yousuf, Muhammad Imran

    2007-01-01

    The main aim of this research is to better understand and measure students' attitudes and perceptions towards the importance of mobile learning in distance education. Results of this survey clearly indicate that facilitating mobile learning can improve the entire distance education by enhancing ways of communication among distance learners, tutors…

  13. A Review of Research on Mobile Learning in Teacher Education

    ERIC Educational Resources Information Center

    Baran, Evrim

    2014-01-01

    Mobile devices have become attractive learning devices for education. While the majority of the existing research has focused primarily on the value of mobile learning for students, researchers have recently started exploring its potentials within teacher development. The present qualitative synthesis of quantitative and qualitative research aimed…

  14. Mobile Collaborative Language Learning: State of the Art

    ERIC Educational Resources Information Center

    Kukulska-Hulme, Agnes; Viberg, Olga

    2018-01-01

    This paper presents a review of mobile collaborative language learning studies published in 2012-16 with the aim to improve understanding of how mobile technologies have been used to support collaborative learning among second and foreign language students. We identify affordances, general pedagogical approaches, second- and foreign-language…

  15. Learning Foreign Languages Using Mobile Applications

    ERIC Educational Resources Information Center

    Gafni, Ruti; Achituv, Dafni Biran; Rachmani, Gila Joyce

    2017-01-01

    Aim/Purpose: This study examines how the use of a Mobile Assisted Language Learning (MALL) application influences the learners' attitudes towards the process of learning, and more specifically in voluntary and mandatory environments. Background: Mobile devices and applications, which have become an integral part of our lives, are used for…

  16. Mobile Learning Devices. Essentials for Principals

    ERIC Educational Resources Information Center

    Rogers, Kipp D.

    2011-01-01

    In "Mobile Learning Devices," the author helps educators confront and overcome their fears and doubts about using mobile learning devices (MLDs) such as cell phones, personal digital assistants, MP3 players, handheld games, digital audio players, and laptops in classrooms. School policies that ban such tools are outdated, the author suggests;…

  17. A Methodology for Enhancing Mobile Learning through Content Semantics

    ERIC Educational Resources Information Center

    Dimitrios, Glaroudis; Athanasios, Manitsaris; Isabella, Kotini

    2013-01-01

    Mobile learning is becoming increasingly popular. Educational web sites can be used as supporting learning tools for students who wish to supplement their knowledge without restrictions of time and place. The continuously increasing demand for enhanced remote and mobile services, as well as the difficulty in easily incorporating current learning…

  18. Mobile Learning: At the Tipping Point

    ERIC Educational Resources Information Center

    Franklin, Teresa

    2011-01-01

    Mobile technologies are interfacing with all aspects of our lives including Web 2.0 tools and applications, immersive virtual world environments, and online environments to present educational opportunities for 24/7 learning at the learner's discretion. Mobile devices are allowing educators to build new community learning ecosystems for and by…

  19. Connecting Learning Spaces Using Mobile Technology

    ERIC Educational Resources Information Center

    Chen, Wenli; Seow, Peter; So, Hyo-Jeong; Toh, Yancy; Looi, Chee-Kit

    2010-01-01

    The use of mobile technology can help extend children's learning spaces and enrich the learning experiences in their everyday lives where they move from one context to another, switching locations, social groups, technologies, and topics. When students have ubiquitous access to mobile devices with full connectivity, the in-situ use of the mobile…

  20. Embodied Experiences of Place: A Study of History Learning with Mobile Technologies

    ERIC Educational Resources Information Center

    Price, S.; Jewitt, C.; Sakr, M.

    2016-01-01

    This paper reports an empirical study that takes a multimodal analytical approach to examine how mobile technologies shape students' exploration and experience of place during a history learning activity in situ. In history education, mobile technologies provide opportunities for authentic experiential learning activities that have the potential…

  1. Mobile learning module improves knowledge of medical shock for forward surgical team members.

    PubMed

    Schulman, Carl I; Garcia, George D; Wyckoff, Mary M; Duncan, Robert C; Withum, Kelly F; Graygo, Jill

    2012-11-01

    Acute trauma care is characterized by dynamic situations that require adequate preparation to ensure success for military health professionals. The use of mobile learning in this environment can provide a solution that standardizes education and replaces traditional didactic lectures. A comparative evaluation with a pre-post test design regarding medical shock was delivered via either a didactic lecture or a mobile learning video module to U.S. Army Forward Surgical Team (FST) members. Participants completed a pretest, were randomly assigned to treatment group by FST, and then completed the post-test and scenario assessment. One-hundred and thirteen FST members participated with 53 in the mobile learning group and 60 in the lecture group (control). The percent mean score for the mobile learning group increased from 43.6 to 70 from pretest to post-test, with a scenario mean score of M = 56.2. The percent mean score for the control group increased from 41.5 to 72.5, with a scenario mean score of M = 59.7. The two-way analysis of variance mean score difference was 26.4 for the mobile learning group and 31.0 for the control, F = 2.18, (p = 0.14). Mobile learning modules, coupled with a structured assessment, have the potential to improve educational experiences in civilian and military settings.

  2. Integration of a mobile-integrated therapy with electronic health records: lessons learned.

    PubMed

    Peeples, Malinda M; Iyer, Anand K; Cohen, Joshua L

    2013-05-01

    Responses to the chronic disease epidemic have predominantly been standardized in their approach to date. Barriers to better health outcomes remain, and effective management requires patient-specific data and disease state knowledge be presented in methods that foster clinical decision-making and patient self-management. Mobile technology provides a new platform for data collection and patient-provider communication. The mobile device represents a personalized platform that is available to the patient on a 24/7 basis. Mobile-integrated therapy (MIT) is the convergence of mobile technology, clinical and behavioral science, and scientifically validated clinical outcomes. In this article, we highlight the lessons learned from functional integration of a Food and Drug Administration-cleared type 2 diabetes MIT into the electronic health record (EHR) of a multiphysician practice within a large, urban, academic medical center. In-depth interviews were conducted with integration stakeholder groups: mobile and EHR software and information technology teams, clinical end users, project managers, and business analysts. Interviews were summarized and categorized into lessons learned using the Architecture for Integrated Mobility® framework. Findings from the diverse stakeholder group of a MIT-EHR integration project indicate that user workflow, software system persistence, environment configuration, device connectivity and security, organizational processes, and data exchange heuristics are key issues that must be addressed. Mobile-integrated therapy that integrates patient self-management data with medical record data provides the opportunity to understand the potential benefits of bidirectional data sharing and reporting that are most valuable in advancing better health and better care in a cost-effective way that is scalable for all chronic diseases. © 2013 Diabetes Technology Society.

  3. Meeting the challenges of installing a mobile robotic system

    NASA Technical Reports Server (NTRS)

    Decorte, Celeste

    1994-01-01

    The challenges of integrating a mobile robotic system into an application environment are many. Most problems inherent to installing the mobile robotic system fall into one of three categories: (1) the physical environment - location(s) where, and conditions under which, the mobile robotic system will work; (2) the technological environment - external equipment with which the mobile robotic system will interact; and (3) the human environment - personnel who will operate and interact with the mobile robotic system. The successful integration of a mobile robotic system into these three types of application environment requires more than a good pair of pliers. The tools for this job include: careful planning, accurate measurement data (as-built drawings), complete technical data of systems to be interfaced, sufficient time and attention of key personnel for training on how to operate and program the robot, on-site access during installation, and a thorough understanding and appreciation - by all concerned - of the mobile robotic system's role in the security mission at the site, as well as the machine's capabilities and limitations. Patience, luck, and a sense of humor are also useful tools to keep handy during a mobile robotic system installation. This paper will discuss some specific examples of problems in each of three categories, and explore approaches to solving these problems. The discussion will draw from the author's experience with on-site installations of mobile robotic systems in various applications. Most of the information discussed in this paper has come directly from knowledge learned during installations of Cybermotion's SR2 security robots. A large part of the discussion will apply to any vehicle with a drive system, collision avoidance, and navigation sensors, which is, of course, what makes a vehicle autonomous. And it is with these sensors and a drive system that the installer must become familiar in order to foresee potential trouble areas in the physical, technical, and human environment.

  4. The Effect of English for Specific Purposes (ESP) Learning-Language Lab versus Mobile-Assisted Learning

    ERIC Educational Resources Information Center

    Shih, Ru-Chu

    2017-01-01

    In recent years, the rapid advancement of information technology has had a great impact on our daily life and changed the world in which we operate; in particular, mobile devices have become more portable and powerful than ever. As a result, mobile-assisted language learning (MALL) and ubiquitous learning have been widely adopted in a variety of…

  5. Mobile phone tools for field-based health care workers in low-income countries.

    PubMed

    Derenzi, Brian; Borriello, Gaetano; Jackson, Jonathan; Kumar, Vikram S; Parikh, Tapan S; Virk, Pushwaz; Lesh, Neal

    2011-01-01

    In low-income regions, mobile phone-based tools can improve the scope and efficiency of field health workers. They can also address challenges in monitoring and supervising a large number of geographically distributed health workers. Several tools have been built and deployed in the field, but little comparison has been done to help understand their effectiveness. This is largely because no framework exists in which to analyze the different ways in which the tools help strengthen existing health systems. In this article we highlight 6 key functions that health systems currently perform where mobile tools can provide the most benefit. Using these 6 health system functions, we compare existing applications for community health workers, an important class of field health workers who use these technologies, and discuss common challenges and lessons learned about deploying mobile tools. © 2011 Mount Sinai School of Medicine.

  6. A mobile, high-throughput semi-automated system for testing cognition in large non-primate animal models of Huntington disease.

    PubMed

    McBride, Sebastian D; Perentos, Nicholas; Morton, A Jennifer

    2016-05-30

    For reasons of cost and ethical concerns, models of neurodegenerative disorders such as Huntington disease (HD) are currently being developed in farm animals, as an alternative to non-human primates. Developing reliable methods of testing cognitive function is essential to determining the usefulness of such models. Nevertheless, cognitive testing of farm animal species presents a unique set of challenges. The primary aims of this study were to develop and validate a mobile operant system suitable for high throughput cognitive testing of sheep. We designed a semi-automated testing system with the capability of presenting stimuli (visual, auditory) and reward at six spatial locations. Fourteen normal sheep were used to validate the system using a two-choice visual discrimination task. Four stages of training devised to acclimatise animals to the system are also presented. All sheep progressed rapidly through the training stages, over eight sessions. All sheep learned the 2CVDT and performed at least one reversal stage. The mean number of trials the sheep took to reach criterion in the first acquisition learning was 13.9±1.5 and for the reversal learning was 19.1±1.8. This is the first mobile semi-automated operant system developed for testing cognitive function in sheep. We have designed and validated an automated operant behavioural testing system suitable for high throughput cognitive testing in sheep and other medium-sized quadrupeds, such as pigs and dogs. Sheep performance in the two-choice visual discrimination task was very similar to that reported for non-human primates and strongly supports the use of farm animals as pre-clinical models for the study of neurodegenerative diseases. Copyright © 2015 Elsevier B.V. All rights reserved.

  7. ICPL: Intelligent Cooperative Planning and Learning for Multi-agent Systems

    DTIC Science & Technology

    2012-02-29

    objective was to develop a new planning approach for teams!of multiple UAVs that tightly integrates learning and cooperative!control algorithms at... algorithms at multiple levels of the planning architecture. The research results enabled a team of mobile agents to learn to adapt and react to uncertainty in...expressive representation that incorporates feature conjunctions. Our algorithm is simple to implement, fast to execute, and can be combined with any

  8. Examining Informal Learning Using Mobile Devices in the Healthcare Workplace

    ERIC Educational Resources Information Center

    Fahlman, Dorothy

    2013-01-01

    The study of workplace learning and informal learning are not new to adult education and pedagogy. However, the use of mobile devices as learning tools for informal learning in the workplace is an understudied area. Using theories on informal learning and constructivism as a framework, this paper explores informal learning of registered nurses…

  9. Mobile Learning: Challenges for Teachers of Indian Open Universities

    ERIC Educational Resources Information Center

    Awadhiya, Ashish Kumar; Miglani, Anshu

    2016-01-01

    "Mobile Learning" (m-Learning) has emerged as a trend in the field of Open and Distance Learning (ODL). It is removing the time and geographical barriers for learning by placing learning opportunities at the fingertips of learners. ODL institutes in India are also adopting m-learning in different forms; however, it is not fully…

  10. Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings.

    PubMed

    Zolfo, Maria; Iglesias, David; Kiyan, Carlos; Echevarria, Juan; Fucay, Luis; Llacsahuanga, Ellar; de Waard, Inge; Suàrez, Victor; Llaque, Walter Castillo; Lynen, Lutgarde

    2010-09-08

    We present an innovative approach to healthcare worker (HCW) training using mobile phones as a personal learning environment.Twenty physicians used individual Smartphones (Nokia N95 and iPhone), each equipped with a portable solar charger. Doctors worked in urban and peri-urban HIV/AIDS clinics in Peru, where almost 70% of the nation's HIV patients in need are on treatment. A set of 3D learning scenarios simulating interactive clinical cases was developed and adapted to the Smartphones for a continuing medical education program lasting 3 months. A mobile educational platform supporting learning events tracked participant learning progress. A discussion forum accessible via mobile connected participants to a group of HIV specialists available for back-up of the medical information. Learning outcomes were verified through mobile quizzes using multiple choice questions at the end of each module. In December 2009, a mid-term evaluation was conducted, targeting both technical feasibility and user satisfaction. It also highlighted user perception of the program and the technical challenges encountered using mobile devices for lifelong learning. With a response rate of 90% (18/20 questionnaires returned), the overall satisfaction of using mobile tools was generally greater for the iPhone. Access to Skype and Facebook, screen/keyboard size, and image quality were cited as more troublesome for the Nokia N95 compared to the iPhone. Training, supervision and clinical mentoring of health workers are the cornerstone of the scaling up process of HIV/AIDS care in resource-limited settings (RLSs). Educational modules on mobile phones can give flexibility to HCWs for accessing learning content anywhere. However lack of softwares interoperability and the high investment cost for the Smartphones' purchase could represent a limitation to the wide spread use of such kind mLearning programs in RLSs.

  11. Recognizing the degree of human attention using EEG signals from mobile sensors.

    PubMed

    Liu, Ning-Han; Chiang, Cheng-Yu; Chu, Hsuan-Chin

    2013-08-09

    During the learning process, whether students remain attentive throughout instruction generally influences their learning efficacy. If teachers can instantly identify whether students are attentive they can be suitably reminded to remain focused, thereby improving their learning effects. Traditional teaching methods generally require that teachers observe students' expressions to determine whether they are attentively learning. However, this method is often inaccurate and increases the burden on teachers. With the development of electroencephalography (EEG) detection tools, mobile brainwave sensors have become mature and affordable equipment. Therefore, in this study, whether students are attentive or inattentive during instruction is determined by observing their EEG signals. Because distinguishing between attentiveness and inattentiveness is challenging, two scenarios were developed for this study to measure the subjects' EEG signals when attentive and inattentive. After collecting EEG data using mobile sensors, various common features were extracted from the raw data. A support vector machine (SVM) classifier was used to calculate and analyze these features to identify the combination of features that best indicates whether students are attentive. Based on the experiment results, the method proposed in this study provides a classification accuracy of up to 76.82%. The study results can be used as a reference for learning system designs in the future.

  12. Powered mobility intervention: understanding the position of tool use learning as part of implementing the ALP tool.

    PubMed

    Nilsson, Lisbeth; Durkin, Josephine

    2017-10-01

    To explore the knowledge necessary for adoption and implementation of the Assessment of Learning Powered mobility use (ALP) tool in different practice settings for both adults and children. To consult with a diverse population of professionals working with adults and children, in different countries and various settings; who were learning about or using the ALP tool, as part of exploring and implementing research findings. Classical grounded theory with a rigorous comparative analysis of data from informants together with reflections on our own rich experiences of powered mobility practice and comparisons with the literature. A core category learning tool use and a new theory of cognizing tool use, with its interdependent properties: motivation, confidence, permissiveness, attentiveness and co-construction has emerged which explains in greater depth what enables the application of the ALP tool. The scientific knowledge base on tool use learning and the new theory conveys the information necessary for practitioner's cognizing how to apply the learning approach of the ALP tool in order to enable tool use learning through powered mobility practice as a therapeutic intervention in its own right. This opens up the possibility for more children and adults to have access to learning through powered mobility practice. Implications for rehabilitation Tool use learning through powered mobility practice is a therapeutic intervention in its own right. Powered mobility practice can be used as a rehabilitation tool with individuals who may not need to become powered wheelchair users. Motivation, confidence, permissiveness, attentiveness and co-construction are key properties for enabling the application of the learning approach of the ALP tool. Labelling and the use of language, together with honing observational skills through viewing video footage, are key to developing successful learning partnerships.

  13. Learners' Perceptions of the Use of Mobile Technology in a Task-Based Language Teaching Experience

    ERIC Educational Resources Information Center

    Calabrich, Simone L.

    2016-01-01

    This research explored perceptions of learners studying English in private language schools regarding the use of mobile technology to support language learning. Learners were first exposed to both a mobile assisted and a mobile unassisted language learning experience, and then asked to express their thoughts on the incorporation of mobile devices…

  14. SLAM algorithm applied to robotics assistance for navigation in unknown environments.

    PubMed

    Cheein, Fernando A Auat; Lopez, Natalia; Soria, Carlos M; di Sciascio, Fernando A; Pereira, Fernando Lobo; Carelli, Ricardo

    2010-02-17

    The combination of robotic tools with assistance technology determines a slightly explored area of applications and advantages for disability or elder people in their daily tasks. Autonomous motorized wheelchair navigation inside an environment, behaviour based control of orthopaedic arms or user's preference learning from a friendly interface are some examples of this new field. In this paper, a Simultaneous Localization and Mapping (SLAM) algorithm is implemented to allow the environmental learning by a mobile robot while its navigation is governed by electromyographic signals. The entire system is part autonomous and part user-decision dependent (semi-autonomous). The environmental learning executed by the SLAM algorithm and the low level behaviour-based reactions of the mobile robot are robotic autonomous tasks, whereas the mobile robot navigation inside an environment is commanded by a Muscle-Computer Interface (MCI). In this paper, a sequential Extended Kalman Filter (EKF) feature-based SLAM algorithm is implemented. The features correspond to lines and corners -concave and convex- of the environment. From the SLAM architecture, a global metric map of the environment is derived. The electromyographic signals that command the robot's movements can be adapted to the patient's disabilities. For mobile robot navigation purposes, five commands were obtained from the MCI: turn to the left, turn to the right, stop, start and exit. A kinematic controller to control the mobile robot was implemented. A low level behavior strategy was also implemented to avoid robot's collisions with the environment and moving agents. The entire system was tested in a population of seven volunteers: three elder, two below-elbow amputees and two young normally limbed patients. The experiments were performed within a closed low dynamic environment. Subjects took an average time of 35 minutes to navigate the environment and to learn how to use the MCI. The SLAM results have shown a consistent reconstruction of the environment. The obtained map was stored inside the Muscle-Computer Interface. The integration of a highly demanding processing algorithm (SLAM) with a MCI and the communication between both in real time have shown to be consistent and successful. The metric map generated by the mobile robot would allow possible future autonomous navigation without direct control of the user, whose function could be relegated to choose robot destinations. Also, the mobile robot shares the same kinematic model of a motorized wheelchair. This advantage can be exploited for wheelchair autonomous navigation.

  15. A Review of Models and Frameworks for Designing Mobile Learning Experiences and Environments

    ERIC Educational Resources Information Center

    Hsu, Yu-Chang; Ching, Yu-Hui

    2015-01-01

    Mobile learning has become increasingly popular in the past decade due to the unprecedented technological affordances achieved through the advancement of mobile computing, which makes ubiquitous and situated learning possible. At the same time, there have been research and implementation projects whose efforts centered on developing mobile…

  16. Rethinking the Impact of Activity Design on a Mobile Learning Trail: The Missing Dimension of the Physical Affordances

    ERIC Educational Resources Information Center

    Tan, Esther; So, Hyo-Jeong

    2015-01-01

    This paper investigates the relationship between activity design and discourse on a mobile learning trail, considering the physical affordances of the real world platform in designing contextual learning experiences. We adopted a "context-oriented" and "process-oriented" pedagogical approach in designing the mobile learning…

  17. Relationship of Mobile Learning Readiness to Teacher Proficiency in Classroom Technology Integration

    ERIC Educational Resources Information Center

    Christensen, Rhonda; Knezek, Gerald

    2016-01-01

    Mobile learning readiness as a new aspect of technology integration for classroom teachers is confirmed through the findings of this study to be significantly aligned with well-established measures based on older information technologies. The Mobile Learning Readiness Survey (MLRS) generally exhibits the desirable properties of step-wise increases…

  18. Considering Learning Styles and Context-Awareness for Mobile Adaptive Learning

    ERIC Educational Resources Information Center

    Tortorella, Richard A. W.; Graf, Sabine

    2017-01-01

    Mobile devices are becoming ubiquitous in our society and more so with school aged children. In order to get the most out of the portable computing power present at students' fingertips, this paper proposes an approach for providing mobile, personalized course content tailored to each individual's learning style while incorporating adaptive…

  19. Conjoint Analysis for Mobile Devices for Ubiquitous Learning in Higher Education: The Korean Case

    ERIC Educational Resources Information Center

    Lee, Hyeongjik

    2013-01-01

    Despite the increasing importance of mobile devices in education, the essential features of these devices for ubiquitous learning have not been empirically addressed. This study empirically investigated the necessary conditions for using mobile devices as an educational tool for ubiquitous learning in higher education by a conjoint method. The…

  20. Reflections on Distributive Leadership for Work-Based Mobile Learning of Canadian Registered Nurses

    ERIC Educational Resources Information Center

    Fahlman, Dorothy

    2017-01-01

    The ubiquity, flexibility, and accessibility of mobile devices can transform how registered nurses in Canada learn beyond the confines of traditional education/training boundaries in their work settings. Many Canadian registered nurses have actively embraced mobile technologies for their work-based learning to meet their competency requirements…

  1. iLearning: The Future of Higher Education? Student Perceptions on Learning with Mobile Tablets

    ERIC Educational Resources Information Center

    Rossing, Jonathan P.; Miller, Willie M.; Cecil, Amanda K.; Stamper, Suzan E.

    2012-01-01

    The growing use of mobile technology on college campuses suggests the future of the classroom, including learning activities, research, and even student faculty communications, will rely heavily on mobile technology. Since Fall 2010, an interdisciplinary team of faculty from Indiana University--Purdue University Indianapolis (IUPUI) has…

  2. Using Mobile Learning in Free-Choice Educational Settings to Enhance Ecological Literacy

    ERIC Educational Resources Information Center

    Aguayo, Claudio; Eames, Chris

    2017-01-01

    This article presents the case for using mobile technologies to facilitate the integration of classroom and outside-of-classroom learning experiences designed to enhance the ecological literacy of primary school students and their parents. There is growing evidence supporting the transformative potential of mobile learning technologies and tools…

  3. Does Using Mobile Device Applications Lead to Learning?

    ERIC Educational Resources Information Center

    Vogel, Doug; Kennedy, David; Kwok, Ron Chi-Wai

    2009-01-01

    Assessing the impact on learning of the use of mobile devices and associated applications is a complex challenge. This article reports on progress to date in a longitudinal study using a design research approach with three cohorts of 800 students each. Results are encouraging in terms of learning enhancement through select mobile application by a…

  4. Pre-Service Teachers' Intention to Adopt Mobile Learning: A Motivational Model

    ERIC Educational Resources Information Center

    Baydas, Ozlem; Yilmaz, Rabia M.

    2018-01-01

    This study proposes a model for determining preservice teachers' intentions to adopt mobile learning from a motivational perspective. Data were collected from 276 preservice teachers and analyzed by structural equation modeling. A model capable of explaining 87% of the variance in preservice teachers' intention to adopt mobile learning was…

  5. Learning Unplugged: Using Mobile Technologies for Organizational Training and Performance Improvement.

    ERIC Educational Resources Information Center

    Gayeski, Diane

    This book, which is written by a training consultant, is intended to help organizations determine whether specific readily available mobile technologies make sense for their particular learning and performance needs. Chapter 1 discusses the mobile revolution in learning and performance, with special attention to the new work and learning…

  6. Mobile Devices, Learning and Clinical Workplaces: Medical Student Use of Smartphones in Parisian Hospitals

    ERIC Educational Resources Information Center

    Phelps, Megan; Scott, Karen M.; Chauffeté-Manillier, Martine; Lenne, Frédéric; Le Jeunne, Claire

    2017-01-01

    Mobile devices are ubiquitous worldwide, including in hospitals. "Just in time" learning provided by these devices is important for students. We investigated current use of, and learning with, smartphones and other mobile devices by medical students in Parisian hospitals. A survey with quantitative and qualitative items previously used…

  7. Effectiveness of Mobile Devices on Vocabulary Learning: A Meta-Analysis

    ERIC Educational Resources Information Center

    Mahdi, Hassan Saleh

    2018-01-01

    Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students…

  8. Mobile Learning to Enrich Vocabulary in English

    ERIC Educational Resources Information Center

    Singaravelu, G.

    2009-01-01

    The study enlightens the impact of Mobile learning in enriching the vocabulary in English at standard VIII. Objectives of the study: 1. To find out the problems in enriching vocabulary in English at standard VIII. 2. To find out the impact of Mobile learning in enriching vocabulary in English. Hypothesis: There is no significant difference in…

  9. A Study of Contextualised Mobile Information Delivery for Language Learning

    ERIC Educational Resources Information Center

    de Jong, Tim; Specht, Marcus; Koper, Rob

    2010-01-01

    Mobile devices offer unique opportunities to deliver learning content in authentic learning situations. Apart from being able to play various kinds of rich multimedia content, they offer new ways of tailoring information to the learner's situation or context. This paper presents the results of a study of mobile media delivery for language…

  10. Critical Factors in Mobile Learning: A Quasi-Systematic Review

    ERIC Educational Resources Information Center

    Rodrigues, Sergio Assis; dos Santos, Rodrigo Pereira; Arnaud, Lucas; de Souza, Jano Moreira

    2013-01-01

    The advance of mobile industry and research has expanded e-learning in order to support an efficient and effective educational process. However, the promised benefits are as much attractive as the existing difficulties and barriers. In this paper, we intend to identify and summarize the critical factors in mobile learning through a…

  11. Validating a Mobile Learning Readiness Survey: Assessing Teachers' Dispositions toward Adoption

    ERIC Educational Resources Information Center

    Christensen, Rhonda; Knezek, Gerald

    2017-01-01

    Appraisal of the readiness of teachers to accept and use mobile devices for classroom instruction is a critical step whenever an expectation exists that the devices will be used to enhance student learning. Designing professional development requires assessment of teachers' readiness and willingness to embrace mobile learning for their students.…

  12. M-Learning Adequacy and Perceptions of Students and Teachers in Secondary Schools

    ERIC Educational Resources Information Center

    Ozdamli, Fezile; Uzunboylu, Huseyin

    2015-01-01

    In recent years, the use of mobile technologies has increased in a number of fields such as banking, economy, tourism, entertainment, library research, etc. These developments have also led to the use of mobile technologies for educational purposes. The successful integration of mobile learning (m-learning) technologies in education primarily…

  13. Examining the Efficacy of Mobile Learning in the Military Education Institution

    ERIC Educational Resources Information Center

    Perot, Eddie, Sr.

    2017-01-01

    This three-article dissertation investigates the integration of mobile learning devices in the military education institution curriculum. The basis of this investigation advances the position that mobile learning devices are advantageous to promoting a learner centric environment that is responsive and adaptive to the needs of the learner. Mobile…

  14. Using the mTSES to Evaluate and Optimize mLearning Professional Development

    ERIC Educational Resources Information Center

    Power, Robert; Cristol, Dean; Gimbert, Belinda; Bartoletti, Robin; Kilgore, Whitney

    2016-01-01

    The impact of targeted professional development activities on teachers' perceptions of self-efficacy with mobile learning remains understudied. Power (2015a) used the Mobile Teacher's Sense of Efficacy Scale (mTSES) survey instrument to measure the effects of a mobile learning themed professional development course on teachers' confidence with and…

  15. Contribution to Vocabulary Learning via Mobiles

    ERIC Educational Resources Information Center

    Khazaie, Saeed; Ketabi, Saeed

    2011-01-01

    As mobile connectedness continues to sweep across the landscape, the value of deploying mobile technology at the service of learning and teaching seems to be both self-evident and unavoidable. To this end, this study employed multimedia to develop three types of vocabulary learning materials. Due to the importance of short-term memory in the realm…

  16. Test and Evaluation of a Course Designed for Mobile Learning. ZIFF Papiere.

    ERIC Educational Resources Information Center

    Strohlein, Georg; Fritsch, Helmut

    This report contains two parts: "Part I: Design and Implementation" (Georg Strohlein) and "Part II: Student Usage" (Helmut Fritsch). Part I describes the development and practical use of a short course on descriptive statistics designed for mobile learning (i.e., the situation when the learning person is mobile and utilizes…

  17. Mobile-Learning: Thai HE Student Perceptions and Potential Technological Impacts

    ERIC Educational Resources Information Center

    James, Paul T. J.

    2011-01-01

    Higher education appears to be changing in the Thailand, as students, especially younger students whose social networking concerns match their obsession with mobile technology, may take issue with past academic teaching patterns and practices and opt for more contemporary approaches such as mobile-learning (m-Learning). This research used a…

  18. Exploring the Moderating Role of Perceived Flexibility Advantages in Mobile Learning Continuance Intention (MLCI)

    ERIC Educational Resources Information Center

    Huang, Rui-Ting; Hsiao, Chia-Hua; Tang, Tzy-Wen; Lien, Tsung-Cheng

    2014-01-01

    The primary purpose of this study was to explore the key factors that could affect mobile learning continuance intention (MLCI), and examine the moderating effect of perceived flexibility advantages (PFA) on the relationship between key mobile learning elements and continuance intention. Five hundred undergraduate students who had previously…

  19. The Mobile Learning Training Needs of Educators in Technology-Enabled Environments

    ERIC Educational Resources Information Center

    Crompton, Helen; Olszewski, Brandon; Bielefeldt, Talbot

    2016-01-01

    Mobile learning (mlearning) is an emerging trend in schools, utilizing mobile technologies that offer the greatest amount of flexibility in teaching and learning. Researchers have found that one of the main barriers to effective mlearning in schools is the lack of teacher professional development. Results from a needs-assessment survey and a…

  20. Effects of Practice Type in the Here and Now Mobile Learning Environment

    ERIC Educational Resources Information Center

    Tutty, Jeremy I.; Martin, Florence

    2014-01-01

    This generation of technology is characterized by mobile and portable devices such as smartphones and tablet computers with wireless broadband access. Mobile technologies enable a new kind of learning called "here and now learning," where learners have access to information anytime and anywhere to perform authentic activities in the…

  1. Mobile Learning Application Based on RSS Feed Technology

    ERIC Educational Resources Information Center

    Mohanna, Mahmoud; Capus, Laurence

    2013-01-01

    This paper presents a mobile learning application for a learning course at higher education level. Based on the RSS feed technology, the presented mobile application establishes an in-time communication channel between the instructor and his/her students to keep them up-to-date with all course important dates, instructions and information in…

  2. A Mobile Learning Overview by Timeline and Mind Map

    ERIC Educational Resources Information Center

    Parsons, David

    2014-01-01

    Mobile learning has been a research topic for some 20 years. Over that time it has encompassed a wide range of concepts, theories, designs, experiments and evaluations. With increasing interest in mobile learning from researchers and practitioners, an accessible overview of this area of research that encapsulates its many facets and features can…

  3. Use of Mobile Devices for E-Learning in Geomatics

    NASA Astrophysics Data System (ADS)

    Mills, H.

    2015-05-01

    For the last 4 years, the School of Civil Engineering & Geosciences at Newcastle University, UK adapted mobile devices as learning approach only for undergraduate within Geomatics. All incoming students were given a mobile device as learning tool, which was supposed to be there main way to accessing teaching material. This paper will present how students adopted the mobile devices and how their learning has changed using mobile devices. It will highlight which apps can be used in a Geomatics teaching environment to engage students in their learning and teaching environment. The paper will furthermore look into apps which help students within the area of Photogrammetry and Remote Sensing, such as the Autodesk 123D catch up or the Remote RDP app to remotely control surveying instrumentations, such as laser scanners. Those apps are easy tools to engage students within digital learning environment which the students are familiar with. The paper will show how students embrace the technology but also current limitation of using those within Higher education establishments, such as sufficient Wifi and student support for using mobile devices.

  4. Real-time adaptive off-road vehicle navigation and terrain classification

    NASA Astrophysics Data System (ADS)

    Muller, Urs A.; Jackel, Lawrence D.; LeCun, Yann; Flepp, Beat

    2013-05-01

    We are developing a complete, self-contained autonomous navigation system for mobile robots that learns quickly, uses commodity components, and has the added benefit of emitting no radiation signature. It builds on the au­tonomous navigation technology developed by Net-Scale and New York University during the Defense Advanced Research Projects Agency (DARPA) Learning Applied to Ground Robots (LAGR) program and takes advantage of recent scientific advancements achieved during the DARPA Deep Learning program. In this paper we will present our approach and algorithms, show results from our vision system, discuss lessons learned from the past, and present our plans for further advancing vehicle autonomy.

  5. Innovations in Educational System: Mobile Learning Applications

    ERIC Educational Resources Information Center

    Rokhvadze, Roza F.; Yelashkina, Natalya V.

    2013-01-01

    This article presents the analysis of the current changes in the higher educational system of the Russian Federation. The stated issues are accompanied with the advice and possible solutions. Authors offer their own approaches and techniques for the academic staff of higher educational institutions in order to adapt to the new system.

  6. Using mobile technologies to give health students access to learning resources in the UK community setting.

    PubMed

    Walton, Graham; Childs, Susan; Blenkinsopp, Elizabeth

    2005-12-01

    This article describes a project which explored the potential for mobile technologies to give health students in the community access to learning resources. The purpose included the need to identify possible barriers students could face in using mobile technologies. Another focus was to assess the students perceptions of the importance of being able to access learning resources in the community. This 1-year project used two main approaches for data collection. A review of the literature on mobile technologies in the health context was conducted. This was used in a systematic way to identify key issues and trends. The literature review was used to inform the design and production of a questionnaire. This was distributed to and completed by a group of community health students at Northumbria University, UK. The questionnaire was piloted and there was a 100% completion rate with 49 returned forms. The literature review indicated that most mobile technology applications were occurring in the US. At the time of the review the most prevalent mobile technologies were PDAs, laptops, WAP phones and portable radios with use being concentrated around doctors in the acute sector. A range of advantages and disadvantages to the technology were discovered. Mobile technologies were mainly being used for clinical rather than learning applications. The students showed a low level of awareness of the technology but placed great importance to accessing learning resources from the community. Significant development and changes are taking place in mobile technologies. Since the data collection for this work was completed in 2004 podcasting and videocasting have become significant in mobile learning for health professionals. Librarians will need to address the relevance and implications of m-learning for their practice. Care and consideration needs to be given on the time and resources librarians allocate for the necessary development work around mobile technologies. Collaboration and partnership working will be most effective approach for librarians wishing to integrate their services with m-learning technologies.

  7. Middle School Student Perceptions and Actual Use of Mobile Devices: Highlighting Disconnects in Student Planned and Actual Usage of Mobile Devices in Class

    ERIC Educational Resources Information Center

    Bartholomew, Scott R.; Reeve, Edward

    2018-01-01

    Discussion surrounding the inclusion of mobile devices in K-12 classrooms has escalated since the early 2000s, and the literature base dedicated to mobile devices, mobile-learning, and e-learning has likewise grown. The majority of the research related to mobile devices and their inclusion in educational settings has largely revolved around…

  8. Effects of Situated Mobile Learning Approach on Learning Motivation and Performance of EFL Students

    ERIC Educational Resources Information Center

    Huang, Chester S. J.; Yang, Stephen J. H.; Chiang, Tosti H. C.; Su, Addison Y. S.

    2016-01-01

    This study developed a 5-step vocabulary learning (FSVL) strategy and a mobile learning tool in a situational English vocabulary learning environment and assessed their effects on the learning motivation and performance of English as a foreign language (EFL) students in a situational English vocabulary learning environment. Overall, 80 EFL…

  9. The Effects of Mobile Natural-Science Learning Based on the 5E Learning Cycle: A Case Study

    ERIC Educational Resources Information Center

    Liu, Tzu-Chien; Peng, Hsinyi; Wu, Wen-Hsuan; Lin, Ming-Sheng

    2009-01-01

    This study has three major purposes, including designing mobile natural-science learning activities that rest on the 5E Learning Cycle, examining the effects of these learning activities on students' performances of learning aquatic plants, and exploring students' perceptions toward these learning activities. A case-study method is utilized and…

  10. Investigating Students' Self-Efficacy and Attitudes towards the Use of Mobile Learning

    ERIC Educational Resources Information Center

    Yorganci, Serpil

    2017-01-01

    Nowadays, mobile learning (m-learning) presents new and powerful opportunities for effective teaching and learning. Two significant factors that serve in understanding if students accept m-learning technology are self-efficacy and attitudes towards m-learning usage. For this purpose, the present study investigated vocational college students'…

  11. Learning Consequences of Mobile-Computing Technologies: Differential Impacts on Integrative Learning and Skill-Focused Learning

    ERIC Educational Resources Information Center

    Kumi, Richard; Reychav, Iris; Sabherwal, Rajiv

    2016-01-01

    Many educational institutions are integrating mobile-computing technologies (MCT) into the classroom to improve learning outcomes. There is also a growing interest in research to understand how MCT influence learning outcomes. The diversity of results in prior research indicates that computer-mediated learning has different effects on various…

  12. Surveying and Modeling Students' Motivation and Learning Strategies for Mobile-Assisted Seamless Chinese Language Learning

    ERIC Educational Resources Information Center

    Chai, Ching Sing; Wong, Lung-Hsiang; King, Ronnel B.

    2016-01-01

    Seamless language learning promises to be an effective learning approach that addresses the limitations of classroom-only language learning. It leverages mobile technologies to facilitate holistic and perpetual learning experiences that bridge different locations, times, technologies or social settings. Despite the emergence of studies on seamless…

  13. Investigating the Use of Text Messages in Mobile Learning

    ERIC Educational Resources Information Center

    Geng, Gretchen

    2013-01-01

    Nowadays, teaching and learning have been shifted from traditional classrooms to technology-supported learning environment. By offering a convenient, efficient and financially affordable information technology learning environment, mobile learning is a topic that is of considerable interest for education audiences owing to the pervasive nature of…

  14. A Context-Aware Mobile Learning System for Supporting Cognitive Apprenticeships in Nursing Skills Training

    ERIC Educational Resources Information Center

    Wu, Po-Han; Hwang, Gwo-Jen; Su, Liang-Hao; Huang, Yueh-Min

    2012-01-01

    The aim of nursing education is to foster in students the competence of applying integrated knowledge with clinical skills to the application domains. In the traditional approach, in-class knowledge learning and clinical skills training are usually conducted separately, such that the students might not be able to integrate the knowledge and the…

  15. Learner's Attitudes towards Online Language Learning; and Corresponding Success Rates

    ERIC Educational Resources Information Center

    Cinkara, Emrah; Bagceci, Birsen

    2013-01-01

    Online teaching has long been a key area of interest recently in every field of education as well as English language teaching. Numerous hardware tools, such as, mp3 players, mobile devices, and so on; and software applications, such as, podcasts, wikis, learning management systems, and so on, have been used in distance and online instruction and…

  16. Mobile Learning in a Large Blended Computer Science Classroom: System Function, Pedagogies, and Their Impact on Learning

    ERIC Educational Resources Information Center

    Shen, Ruimin; Wang, Minjuan; Gao, Wanping; Novak, D.; Tang, Lin

    2009-01-01

    The computer science classes in China's institutions of higher education often have large numbers of students. In addition, many institutions offer "blended" classes that include both on-campus and online students. These large blended classrooms have long suffered from a lack of interactivity. Many online classes simply provide recorded…

  17. Mobile Learning and Integration of Mobile Technologies in Education

    ERIC Educational Resources Information Center

    Keengwe, Jared; Bhargava, Malini

    2014-01-01

    Mobile technologies have a huge potential to transform education provided these technologies are designed and implemented in such a way that they are relevant to the social and cultural context of learning. Clearly, the application, implementation, and design of mobile technology in the global educational context pose technological and…

  18. Preservice Teacher Mobile Investigation and Interpretation of Everyday Mathematics across Settings

    ERIC Educational Resources Information Center

    Kalir, Jeremiah

    2016-01-01

    This study reports upon design-based research that enacted mobile mathematics learning for preservice teachers across classroom, community, and online settings. The integration of mobile learning within mathematics teacher education is understudied, and it is necessary to better understand mobile technology affordances when locating disciplinary…

  19. Realizing the Promises of Mobile Learning

    ERIC Educational Resources Information Center

    Wagner, Ellen D.

    2008-01-01

    This article considers the current status of mobile learning and discusses a number of trends that are driving toward enterprise mobility, a state of technological readiness where users have full access to resources regardless of physical location. Enterprise mobility is discussed as one of several key considerations at the core of a successful…

  20. Technology Integration: Mobile Devices (iPods), Constructivist Pedagogy, and Student Learning

    ERIC Educational Resources Information Center

    Keengwe, Jared; Pearson, Donna; Smart, Kathy

    2009-01-01

    Although mobile technology is still evolving with most mobile devices supporting numerous communications and technology standards, there are currently very few applications of these devices to support teaching and learning activities. Integrated appropriately, mobile devices could help students acquire the skills needed to survive in a complex,…

Top