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…
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.…
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…
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…
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…
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…
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…
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…
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.
ERIC Educational Resources Information Center
Ozdemir, Oguzhan; Erdemci, Husamettin
2017-01-01
The term mobile portfolio refers to creating, evaluating and sharing portfolios in mobile environments. Many of the states that pose an obstacle for portfolio usage are now extinguished through mobile portfolios. The aim in this research is to determine the effect of mobile portfolio supported mastery learning model on students' success and…
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…
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…
The Utility of the UTAUT Model in Explaining Mobile Learning Adoption in Higher Education in Guyana
ERIC Educational Resources Information Center
Thomas, Troy Devon; Singh, Lenandlar; Gaffar, Kemuel
2013-01-01
In this paper, we compare the utility of modified versions of the unified theory of acceptance and use of technology (UTAUT) model in explaining mobile learning adoption in higher education in a developing country and evaluate the size and direction of the impacts of the UTAUT factors on behavioural intention to adopt mobile learning in higher…
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,…
Factors Impacting Teachers' Adoption of Mobile Learning
ERIC Educational Resources Information Center
Mac Callum, Kathryn; Jeffrey, Lynn; Kinshuk
2014-01-01
As mobile technology has advanced, awareness is growing that these technologies may benefit teaching and learning. However, despite this interest, the factors that will determine the acceptance of mobile technology by lecturers have been limited. This study proposed and tested a new model that extends the technology acceptance model (TAM) with…
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'…
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…
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…
Mobile Learning Model and Process Optimization in the Era of Fragmentation
ERIC Educational Resources Information Center
Zhang, Shi-Jun; Yu, Gui-Hua
2017-01-01
In the context of mobile Internet, college students' leisure time has fragmentation characteristics to improve the value of time, it is of great practical significance to make full use of fragmentation time to study effectively. This research focuses on mobile learning model and its effect, firstly, qualitative research is used to construct the…
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…
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…
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.
ERIC Educational Resources Information Center
Koole, Marguerite
2018-01-01
This article is primarily a theoretical piece that uses a model of mobile learning, the FRAME model (Koole 2009), to explore a mobile teacher-training project that took place in Papua New Guinea: the SMS Story. The author takes a sociomaterial perspective, drawing upon Barad's agential realism and Sørensen's multiplicity perspective. As the author…
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'…
ME science as mobile learning based on virtual reality
NASA Astrophysics Data System (ADS)
Fradika, H. D.; Surjono, H. D.
2018-04-01
The purpose of this article described about ME Science (Mobile Education Science) as mobile learning application learning of Fisika Inti. ME Science is a product of research and development (R&D) that was using Alessi and Trollip model. Alessi and Trollip model consists three stages that are: (a) planning include analysis of problems, goals, need, and idea of development product, (b) designing includes collecting of materials, designing of material content, creating of story board, evaluating and review product, (c) developing includes development of product, alpha testing, revision of product, validation of product, beta testing, and evaluation of product. The article describes ME Science only to development of product which include development stages. The result of development product has been generates mobile learning application based on virtual reality that can be run on android-based smartphone. These application consist a brief description of learning material, quizzes, video of material summery, and learning material based on virtual reality.
The Dynamics of Mobile Learning Utilization in Vocational Education: Frame Model Perspective Review
ERIC Educational Resources Information Center
Mahande, Ridwan Daud; Susanto, Adhi; Surjono, Herman Dwi
2017-01-01
This study aimed to describe the dynamics of content aspects, user aspects and social aspects of mobile learning utilization (m-learning) in vocational education from the FRAME Model perspective review. This study was quantitative descriptive research. The population in this study was teachers and students of state vocational school and private…
ERIC Educational Resources Information Center
Iqbal, Shakeel; Bhatti, Zeeshan Ahmed
2015-01-01
M-learning is learning delivered via mobile devices and mobile technology. The research indicates that this medium of learning has potential to enhance formal as well as informal learning. However, acceptance of m-learning greatly depends upon the personal attitude of students towards this medium; therefore this study focuses only on the…
ERIC Educational Resources Information Center
Park, Sung Youl; Nam, Min-Woo; Cha, Seung-Bong
2012-01-01
As many Korean universities have recommended the implementation of mobile learning (m-learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m-learning. A sample of 288 Konkuk university students…
The Technology Acceptance of Mobile Applications in Education
ERIC Educational Resources Information Center
Camilleri, Mark Anthony; Camilleri, Adriana Caterina
2017-01-01
This research explores the educators' attitudes and behavioural intention toward mobile applications. The methodology integrates measures from "the pace of technological innovativeness" and the "technology acceptance model" to understand the rationale for further investment in mobile learning (m-learning). A quantitative study…
Mobile Adaptive Communication Support for Vocabulary Acquisition
ERIC Educational Resources Information Center
Epp, Carrie Demmans
2014-01-01
This work explores the use of an adaptive mobile tool for language learning. A school-based deployment study showed that the tool supported learning. A second study is being conducted in informal learning environments. Current work focuses on building models that increase our understanding of the relationship between application usage and learning.
Socioeconomic Strata, Mobile Technology, and Education: A Comparative Analysis
ERIC Educational Resources Information Center
Kim, Paul; Hagashi, Teresita; Carillo, Laura; Gonzales, Irina; Makany, Tamas; Lee, Bommi; Garate, Alberto
2011-01-01
Mobile devices are highly portable, easily distributable, substantially affordable, and have the potential to be pedagogically complementary resources in education. This study, incorporating mixed method analyses, discusses the implications of a mobile learning technology-based learning model in two public primary schools near the Mexico-USA…
Personalized summarization using user preference for m-learning
NASA Astrophysics Data System (ADS)
Lee, Sihyoung; Yang, Seungji; Ro, Yong Man; Kim, Hyoung Joong
2008-02-01
As the Internet and multimedia technology is becoming advanced, the number of digital multimedia contents is also becoming abundant in learning area. In order to facilitate the access of digital knowledge and to meet the need of a lifelong learning, e-learning could be the helpful alternative way to the conventional learning paradigms. E-learning is known as a unifying term to express online, web-based and technology-delivered learning. Mobile-learning (m-learning) is defined as e-learning through mobile devices using wireless transmission. In a survey, more than half of the people remarked that the re-consumption was one of the convenient features in e-learning. However, it is not easy to find user's preferred segmentation from a full version of lengthy e-learning content. Especially in m-learning, a content-summarization method is strongly required because mobile devices are limited to low processing power and battery capacity. In this paper, we propose a new user preference model for re-consumption to construct personalized summarization for re-consumption. The user preference for re-consumption is modeled based on user actions with statistical model. Based on the user preference model for re-consumption with personalized user actions, our method discriminates preferred parts over the entire content. Experimental results demonstrated successful personalized summarization.
Engage Students with Dyslexia in Video-Based Learning Activities
ERIC Educational Resources Information Center
Antonio, Giardi
2016-01-01
The aim of this paper is to focus reader's attention on "mobile" use of iTunesU and USiena model, as future compensatory tools. Starting from multimedia learning theories, a mobile course model has been designed (USiena model) and the experimental method has been used to carry out a "pilot study" with 32 dyslexic students. The…
ERIC Educational Resources Information Center
McCaffrey, Mary
2011-01-01
There is a need for a new educational model that makes learning personal and motivating, and helps secure students' future in the knowledge economy. Mobile technology opens the door to it. Mobile devices provide the platform and, as importantly, the incentive for students to take personal ownership of the learning experience. The lessons absorbed…
Action Research Approach on Mobile Learning Design for the Underserved
ERIC Educational Resources Information Center
Kim, Paul H.
2009-01-01
This paper discusses an action research study focused on developing a mobile learning model of literacy development for underserved migrant indigenous children in Latin America. The research study incorporated a cyclical action model with four distinctive stages (Strategize, Apply, Evaluate, and Reflect) designed to guide constituencies involved…
New or Novice Teacher Integration of Mobile Learning Instruction
ERIC Educational Resources Information Center
Beisel, Carolyn Anne
2017-01-01
The substitution, augmentation, modification, and redefinition (SAMR) model is designed to help teachers integrate technology in the classroom. In a district with 1:1 mobile technology, teachers expressed frustration and inconsistency about the use the SAMR model for effective teaching and learning. In this project study, the SAMR model…
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.
Mobile robots exploration through cnn-based reinforcement learning.
Tai, Lei; Liu, Ming
2016-01-01
Exploration in an unknown environment is an elemental application for mobile robots. In this paper, we outlined a reinforcement learning method aiming for solving the exploration problem in a corridor environment. The learning model took the depth image from an RGB-D sensor as the only input. The feature representation of the depth image was extracted through a pre-trained convolutional-neural-networks model. Based on the recent success of deep Q-network on artificial intelligence, the robot controller achieved the exploration and obstacle avoidance abilities in several different simulated environments. It is the first time that the reinforcement learning is used to build an exploration strategy for mobile robots through raw sensor information.
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…
Mobile Learning in Nursing Practice Education: Applying Koole's FRAME Model
ERIC Educational Resources Information Center
Kenny, Richard F.; Van Neste-Kenny, Jocelyne M. C.; Park, Caroline L.; Burton, Pamela A.; Meiers, Jan
2009-01-01
We report here on an exploratory formative evaluation of a project to integrate mobile learning into a Western Canadian college nursing program. Third-year students used Hewlett Packard iPAQ mobile devices for five weeks in a practice education course in April-May, 2007. Koole's (2009) "Framework for the Rational Analysis of Mobile…
Improving Mobile Learning with Enhanced Shih's Model of Mobile Learning
ERIC Educational Resources Information Center
Moses, Oyelami Olufemi
2008-01-01
More recent motivational research focuses on the identification of effective techniques for enhancing instructional design and meeting the needs of diverse student populations (Wlodkowski R. J., 1981). Learning-motivation researchers are applying some of the same theories and concepts found to be effective in industry to the development of…
Overcoming K-12 Teacher Resistance to Technology and Learning Using M-Learning
ERIC Educational Resources Information Center
Rinelli, Karen
2013-01-01
This study served to examine the relationship between reflective mobile technology training for teachers and enhanced lessons prepared by teachers, using collaboration and reflection with teacher colleagues to integrate mobile learning and technology. The researcher also examined the relationship between modeling risk-taking behaviors with mobile…
Modeling Interdisciplinary Notion “Substance” with Information Model
NASA Astrophysics Data System (ADS)
Gnitetskaya, Tatyana; Ivanova, Elena; Kovalchuk, Natalya; Shutko, Yuliya; Dubovaya, Larisa; Karnaukhova, Elena
2017-12-01
Wireless mobile technologies have caused a tendency to use mobile devices in the learning process. However, delivery mode should be changed. This paper describes a method of uploadable semantic structures for students’ personal mobile devices that would ensure interdisciplinarity.
Proposing a Framework for Mobile Applications in Disaster Health Learning.
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).
ERIC Educational Resources Information Center
Avci, Hulya; Adiguzel, Tufan
2017-01-01
As learning a foreign language poses a number of challenges for the students, it has become indispensable to search for "optimal" conditions to enhance opportunities of engaging in the target language. Within this context, the Mobile-Blended Collaborative Learning model has been integrated in and out of the classroom learning in order to…
What Leads to Player's Enjoyment and Achievement in a Mobile Learning Game?
ERIC Educational Resources Information Center
Touati, Achraf; Baek, Youngkyun
2018-01-01
This study investigated students' perceptions of competence and enjoyment of a mobile game within the context of mobile game-based learning. The proposed model showed that perceived competence and game attitude were the main predictors of enjoyment, while no direct relationship was found between perceived competence and gaming achievement. The…
ERIC Educational Resources Information Center
Lai, Chiu-Lin; Hwang, Gwo-Jen; Liang, Jyh-Chong; Tsai, Chin-Chung
2016-01-01
Mobile technology has been increasingly applied to educational settings in the past decade. Although researchers have attempted to investigate both students' and teachers' preferences regarding mobile learning, few studies have investigated the differences between the two, an understanding of which is important for developing effective mobile…
Fostering Personalized Learning in Science Inquiry Supported by Mobile Technologies
ERIC Educational Resources Information Center
Song, Yanjie; Wong, Lung-Hsiang; Looi, Chee-Kit
2012-01-01
In this paper, we present a mobile technology-assisted seamless learning process design where students were facilitated to develop their personalized and diversified understanding in a primary school's science topic of the life cycles of various living things. A goal-based approach to experiential learning model was adopted as the pedagogical…
ERIC Educational Resources Information Center
Joo, Young Ju; Lee, Hyeon Woo; Ham, Yookyoung
2014-01-01
This study aims to add new variables, namely user interface, personal innovativeness, and satisfaction in learning, to Davis's technology acceptance model and also examine whether learners are willing to adopt mobile learning. Thus, this study attempted to explain the structural causal relationships among user interface, personal…
Popularity Modeling for Mobile Apps: A Sequential Approach.
Zhu, Hengshu; Liu, Chuanren; Ge, Yong; Xiong, Hui; Chen, Enhong
2015-07-01
The popularity information in App stores, such as chart rankings, user ratings, and user reviews, provides an unprecedented opportunity to understand user experiences with mobile Apps, learn the process of adoption of mobile Apps, and thus enables better mobile App services. While the importance of popularity information is well recognized in the literature, the use of the popularity information for mobile App services is still fragmented and under-explored. To this end, in this paper, we propose a sequential approach based on hidden Markov model (HMM) for modeling the popularity information of mobile Apps toward mobile App services. Specifically, we first propose a popularity based HMM (PHMM) to model the sequences of the heterogeneous popularity observations of mobile Apps. Then, we introduce a bipartite based method to precluster the popularity observations. This can help to learn the parameters and initial values of the PHMM efficiently. Furthermore, we demonstrate that the PHMM is a general model and can be applicable for various mobile App services, such as trend based App recommendation, rating and review spam detection, and ranking fraud detection. Finally, we validate our approach on two real-world data sets collected from the Apple Appstore. Experimental results clearly validate both the effectiveness and efficiency of the proposed popularity modeling approach.
ERIC Educational Resources Information Center
Yadiannur, Mitra; Supahar
2017-01-01
This research aims to determine the feasibility and effectivity of mobile learning based Worked Example in Electric Circuits (WEIEC) application in improving the high school students' electric circuits interpretation ability on Direct Current Circuits materials. The research method used was a combination of Four-D Models and ADDIE model. The…
New Model of Mobile Learning for the High School Students Preparing for the Unified State Exam
ERIC Educational Resources Information Center
Khasianov, Airat; Shakhova, Irina
2017-01-01
In this paper we study a new model of mobile learning for the Unified State Exam ("USE") preparation in Russian Federation. "USE"--is the test school graduates need to pass in order to obtain Russian matura. In recent years the efforts teachers put for preparation of their students to the "USE" diminish how well the…
ERIC Educational Resources Information Center
Shroff, Ronnie H.; Keyes, Christopher J.
2017-01-01
Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…
E-Learning: Students Input for Using Mobile Devices in Science Instructional Settings
ERIC Educational Resources Information Center
Yilmaz, Ozkan
2016-01-01
A variety of e-learning theories, models, and strategy have been developed to support educational settings. There are many factors for designing good instructional settings. This study set out to determine functionality of mobile devices, students who already have, and the student needs and views in relation to e-learning settings. The study…
ERIC Educational Resources Information Center
Kim, Paul; Buckner, Elizabeth; Kim, Hyunkyung; Makany, Tamas; Taleja, Neha; Parikh, Vallabhi
2012-01-01
This study explores the effectiveness of a game-based mobile learning model for children living in underdeveloped regions with significant contextual variations. Data for this study came from a total of 210 children between the ages of 6-14 years old from six marginalized communities in India. The findings reveal that children with little or no…
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…
Application of a model of instrumental conditioning to mobile robot control
NASA Astrophysics Data System (ADS)
Saksida, Lisa M.; Touretzky, D. S.
1997-09-01
Instrumental conditioning is a psychological process whereby an animal learns to associate its actions with their consequences. This type of learning is exploited in animal training techniques such as 'shaping by successive approximations,' which enables trainers to gradually adjust the animal's behavior by giving strategically timed reinforcements. While this is similar in principle to reinforcement learning, the real phenomenon includes many subtle effects not considered in the machine learning literature. In addition, a good deal of domain information is utilized by an animal learning a new task; it does not start from scratch every time it learns a new behavior. For these reasons, it is not surprising that mobile robot learning algorithms have yet to approach the sophistication and robustness of animal learning. A serious attempt to model instrumental learning could prove fruitful for improving machine learning techniques. In the present paper, we develop a computational theory of shaping at a level appropriate for controlling mobile robots. The theory is based on a series of mechanisms for 'behavior editing,' in which pre-existing behaviors, either innate or previously learned, can be dramatically changed in magnitude, shifted in direction, or otherwise manipulated so as to produce new behavioral routines. We have implemented our theory on Amelia, an RWI B21 mobile robot equipped with a gripper and color video camera. We provide results from training Amelia on several tasks, all of which were constructed as variations of one innate behavior, object-pursuit.
Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram
2016-01-01
Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks’ back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps’ detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies. PMID:26978523
Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram
2016-01-01
Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.
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.
Structural Identification and Comparison of Intelligent Mobile Learning Environment
ERIC Educational Resources Information Center
Upadhyay, Nitin; Agarwal, Vishnu Prakash
2007-01-01
This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in…
National Mobile Inventory Model (NMIM)
The National Mobile Inventory Model (NMIM) is a free, desktop computer application developed by EPA to help you develop estimates of current and future emission inventories for on-road motor vehicles and nonroad equipment. To learn more search the archive
Bruce-Low, S S; Burnet, S; Arber, K; Price, D; Webster, L; Stopforth, M
2013-12-01
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 exercises promoted learning compared with a traditional library exercise. Using a randomized trial, 55 students from an undergraduate sports science course (n = 28) and medical course (n = 27) volunteered to participate in this study. A mixed-model design ANOVA was used to examine the percent change in test score after a 3-wk intervention. Results showed that there was a significant difference between the two courses (P < 0.001), methods (P = 0.01), and trials (P < 0.001). The findings suggested that both methods augmented student knowledge and understanding in sports science and medical students. The sports science group demonstrated proportionally greater increases in test performance when exposed to the mobile interactive intervention compared with the traditional library approach. Qualitative data suggest an increased level of engagement with the Netbooks due to the stimulating interactive content. In conclusion, the Netbooks were an effective additional learning tool, significantly enhancing knowledge and understanding in students. Further research should ensure that participants are assessed for preferred learning styles, the subjective task value of expectancy value, and readiness for mobile learning to ascertain if this has an effect on the potential for using mobile learning and interactivity.
RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices
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
RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices.
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.
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,…
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…
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.
Technology-Enabled Active Learning Environments: An Appraisal
ERIC Educational Resources Information Center
Fisher, Kenn
2010-01-01
The recent advent of wireless broadband Internet access and mobile communications devices has provided remarkable opportunities for 21st century blended learning models--simultaneous online and face-to-face--and seriously called into question the industrial-age traditional "egg crate classroom" model of teaching and learning. It has…
ERIC Educational Resources Information Center
Looi, Chee-Kit; Wong, Lung-Hsiang
2014-01-01
Many countries, regions and education districts in the world have experimented with models of one-device-per-student as an enabler of new or effective pedagogies supported by mobile technologies. Researchers have also designed innovations or interventions for possible adoption by schools or for informal learning. Of critical interest to the…
Examining Technology Perception of Social Studies Teachers with Rogers' Diffusion Model
ERIC Educational Resources Information Center
Akman, Özkan; Koçoglu, Erol
2017-01-01
Mobile learning has started to take place in education literature with the developing technology, and this technology started to have an increasing spread along with its advantages. This study examines the responses of social studies teachers to the innovations in the field of mobile learning. The study was designed within the framework of theory…
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…
ERIC Educational Resources Information Center
Joo, Young Ju; Lim, Kyu Yon; Lim, Eugene
2014-01-01
The purpose of this study was to investigate the effect of perceived attributes of innovation, that is, relative advantage, compatibility, complexity, trialability and observability on learners' use of mobile learning. Specifically, this study employed structural equation modeling in order to examine the causal relationships among perceived…
ERIC Educational Resources Information Center
Bocconi, Stefania; Trentin, Guglielmo
2014-01-01
The article addresses the role of network and mobile technologies in enhancing blended solutions with a view to (a) enriching the teaching/learning processes, (b) exploiting the opportunities it offers for their observability, and hence for their monitoring and formative/summative assessment. It will also discuss how such potential can only be…
NASA Astrophysics Data System (ADS)
Umam, K.; Mardi, S. N. S.; Hariadi, M.
2017-01-01
The recent popularity of internet messenger based smartphone technologies has motivated some university lecturers to use them for educational activities. These technologies have enormous potential to enhance the teaching and ubiquitous learning experience for smart campus development. However, the design ubiquitous learning model using interactive internet messenger group (IIMG) and empirical evidence that would favor a broad application of mobile and ubiquitous learning in smart campus settings to improve engagement and behavior is still limited. In addition, the expectation that mobile learning could improve engagement and behavior on smart campus cannot be confirmed because the majority of the reviewed studies followed instructions paradigms. This article aims to present ubiquitous learning model design and showing learners’ experiences in improved engagement and behavior using IIMG for learner-learner and learner-lecturer interactions. The method applied in this paper includes design process and quantitative analysis techniques, with the purpose of identifying scenarios of ubiquitous learning and realize the impressions of learners and lecturers about engagement and behavior aspect, and its contribution to learning.
Exploring the Role of M-Learning in Elementary Education
ERIC Educational Resources Information Center
Chen, Hsiu-Ju
2017-01-01
Aim/Purpose: This study explores the associations between elementary school learners' m-learning and learner satisfactions based on the technology-mediated learning model. Background: M-learning (mobile learning) is emerging, but its role in elementary education still needs clarification. Methodology: Questionnaires were mailed to several…
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…
Towards a Model for M-Learning in Africa
ERIC Educational Resources Information Center
Brown, Tom H.
2005-01-01
Mobile learning (m-learning) is a natural extension of electronic learning (e-learning) and has the potential to make learning even more widely available and accessible than we are used to in existing e-learning environments. The role that communication and interaction plays in the learning process is a critical success factor. It is within this…
Using Instructional Pervasive Game for School Children's Cultural Learning
ERIC Educational Resources Information Center
Chen, Cheng-Ping; Shih, Ju-Ling; Ma, Yi-Chun
2014-01-01
In the past ten years, mobile learning (m-learning) has created a new learning environment that enables learners, through active learning aids. Instructional pervasive gaming (IPG) seems to be an innovative way introduced to enhance m-learning. This study employed a theoretical IPG model to construct a cultural-based pervasive game. Individual and…
[Construction and Application of Innovative Education Technology Strategies in Nursing].
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.
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…
Mobile Learning in Medical Education: Review.
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.
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…
Mobile Learning in Nursing Undergraduates in China: Current Status, Attitudes and Barriers.
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.
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.
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…
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,…
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…
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.
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…
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…
Toward a Propensity-Oriented Player Typology in Educational Mobile Games
ERIC Educational Resources Information Center
Gholizadeh, Mehran; Taghiyareh, Fattaneh; Alvandkoohi, Saeed
2018-01-01
The pivotal role of identifying types of players is inevitable in the game contexts, and educational games are not an exception. This article aims to present a model of player-game interaction in the mobile game-based learning setting regarding the behavioral propensity. This model comprises five different features inherited from the player…
Using m-learning on nursing courses to improve learning.
de Marcos Ortega, Luis; Barchino Plata, Roberto; Jiménez Rodríguez, María Lourdes; Hilera González, José Ramón; Martínez Herráiz, José Javier; Gutiérrez de Mesa, José Antonio; Gutiérrez Martínez, José María; Otón Tortosa, Salvador
2011-05-01
Modern handheld devices and wireless communications foster new kinds of communication and interaction that can define new approaches to teaching and learning. Mobile learning (m-learning) seeks to use them extensively, exactly in the same way in which e-learning uses personal computers and wired communication technologies. In this new mobile environment, new applications and educational models need to be created and tested to confirm (or reject) their validity and usefulness. In this article, we present a mobile tool aimed at self-assessment, which allows students to test their knowledge at any place and at any time. The degree to which the students' achievement improved is also evaluated, and a survey on the students' opinion of the new tool was also conducted. An experimental group of 20- to 21-year-old nursing students was chosen to test the tool. Results show that this kind of tool improves students' achievement and does not make necessary to introduce substantial changes in current teaching activities and methodology.
A Collaborative Model for Ubiquitous Learning Environments
ERIC Educational Resources Information Center
Barbosa, Jorge; Barbosa, Debora; Rabello, Solon
2016-01-01
Use of mobile devices and widespread adoption of wireless networks have enabled the emergence of Ubiquitous Computing. Application of this technology to improving education strategies gave rise to Ubiquitous e-Learning, also known as Ubiquitous Learning. There are several approaches to organizing ubiquitous learning environments, but most of them…
Blending Student Technology Experiences in Formal and Informal Learning
ERIC Educational Resources Information Center
Lai, K.-W.; Khaddage, F.; Knezek, Gerald
2013-01-01
In this article, we discuss the importance of recognizing students' technology-enhanced informal learning experiences and develop pedagogies to connect students' formal and informal learning experiences, in order to meet the demands of the knowledge society. The Mobile-Blended Collaborative Learning model is proposed as a framework to…
Modeling Learner Situation Awareness in Collaborative Mobile Web 2.0 Learning
ERIC Educational Resources Information Center
Norman, Helmi; Nordin, Norazah; Din, Rosseni; Ally, Mohamed
2016-01-01
The concept of situation awareness is essential in enhancing collaborative learning. Learners require information from different awareness aspects to deduce a learning situation for decision-making. Designing learning environments that assist learners to understand situation awareness via monitoring actions and reaction of other learners has been…
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…
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)…
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…
Issues for Deployment of Mobile Learning by Nurses in Australian Healthcare Settings.
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.
Nurses' Experiences and Perceptions of Mobile Learning: A Survey in Beijing, China.
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.
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…
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…
Nurses On-Line: Career Mobility for Registered Nurses.
ERIC Educational Resources Information Center
O'Brien, Barbara S.; Renner, Alice
2000-01-01
Describes how adult learning theory was used to restructure registered nurse courses for online instruction. Hardware/software needs, technical support, instructional model, teaching-learning considerations, and evaluation are discussed. (SK)
He, Ziyang; Zhang, Xiaoqing; Cao, Yangjie; Liu, Zhi; Zhang, Bo; Wang, Xiaoyan
2018-04-17
By running applications and services closer to the user, edge processing provides many advantages, such as short response time and reduced network traffic. Deep-learning based algorithms provide significantly better performances than traditional algorithms in many fields but demand more resources, such as higher computational power and more memory. Hence, designing deep learning algorithms that are more suitable for resource-constrained mobile devices is vital. In this paper, we build a lightweight neural network, termed LiteNet which uses a deep learning algorithm design to diagnose arrhythmias, as an example to show how we design deep learning schemes for resource-constrained mobile devices. Compare to other deep learning models with an equivalent accuracy, LiteNet has several advantages. It requires less memory, incurs lower computational cost, and is more feasible for deployment on resource-constrained mobile devices. It can be trained faster than other neural network algorithms and requires less communication across different processing units during distributed training. It uses filters of heterogeneous size in a convolutional layer, which contributes to the generation of various feature maps. The algorithm was tested using the MIT-BIH electrocardiogram (ECG) arrhythmia database; the results showed that LiteNet outperforms comparable schemes in diagnosing arrhythmias, and in its feasibility for use at the mobile devices.
LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices
Zhang, Xiaoqing; Cao, Yangjie; Liu, Zhi; Zhang, Bo; Wang, Xiaoyan
2018-01-01
By running applications and services closer to the user, edge processing provides many advantages, such as short response time and reduced network traffic. Deep-learning based algorithms provide significantly better performances than traditional algorithms in many fields but demand more resources, such as higher computational power and more memory. Hence, designing deep learning algorithms that are more suitable for resource-constrained mobile devices is vital. In this paper, we build a lightweight neural network, termed LiteNet which uses a deep learning algorithm design to diagnose arrhythmias, as an example to show how we design deep learning schemes for resource-constrained mobile devices. Compare to other deep learning models with an equivalent accuracy, LiteNet has several advantages. It requires less memory, incurs lower computational cost, and is more feasible for deployment on resource-constrained mobile devices. It can be trained faster than other neural network algorithms and requires less communication across different processing units during distributed training. It uses filters of heterogeneous size in a convolutional layer, which contributes to the generation of various feature maps. The algorithm was tested using the MIT-BIH electrocardiogram (ECG) arrhythmia database; the results showed that LiteNet outperforms comparable schemes in diagnosing arrhythmias, and in its feasibility for use at the mobile devices. PMID:29673171
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…
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…
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…
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…
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…
What Seams Do We Remove in Mobile-Assisted Seamless Learning? A Critical Review of the Literature
ERIC Educational Resources Information Center
Wong, Lung-Hsiang; Looi, Chee-Kit
2011-01-01
Seamless learning refers to the seamless integration of the learning experiences across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. Inspired by the exposition by Chan et al. (2006) on the seamless learning model supported by the setting of one or more mobile…
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.
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.
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
ERIC Educational Resources Information Center
Butler, Rory
2013-01-01
Internet-enabled mobile devices have increased the accessibility of learning content for students. Given the ubiquitous nature of mobile computing technology, a thorough understanding of the acceptance factors that impact a learner's intention to use mobile technology as an augment to their studies is warranted. Student acceptance of mobile…
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.
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…
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training
Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M.
2016-01-01
In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user’s hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98.30% (±1.26%) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills. PMID:27527167
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training.
Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M
2016-08-03
In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user's hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98 . 30 % ( ± 1 . 26 % ) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills.
Mobile-Based Dictionary of Information and Communication Technology
NASA Astrophysics Data System (ADS)
Liando, O. E. S.; Mewengkang, A.; Kaseger, D.; Sangkop, F. I.; Rantung, V. P.; Rorimpandey, G. C.
2018-02-01
This study aims to design and build mobile-based dictionary of information and communication technology applications to provide access to information in the form of glossary of terms in the context of information and communication technologies. Applications built in this study using the Android platform, with SQLite database model. This research uses prototype model development method which covers the stages of communication, Quick Plan, Quick Design Modeling, Construction of Prototype, Deployment Delivery & Feedback, and Full System Transformation. The design of this application is designed in such a way as to facilitate the user in the process of learning and understanding the new terms or vocabularies encountered in the world of information and communication technology. Mobile-based dictionary of Information And Communication Technology applications that have been built can be an alternative to learning literature. In its simplest form, this application is able to meet the need for a comprehensive and accurate dictionary of Information And Communication Technology function.
E-Learning--Long-Distance and Lifelong Perspectives
ERIC Educational Resources Information Center
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed.
2012-01-01
Chapters in this book include: (1) Adaptive Model for E-Learning in Secondary School (Todorka Glushkova); (2) Electronic- and Mobile-Learning in Electronics Courses Focused on FPGA (Giovanni Vito Persiano and Sergio Rapuano); (3) Promoting E-Learning in Distance Education Programs in an African Country (Kenneth Addah, Desmond Kpebu and Olivia A.…
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…
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.
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.
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…
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…
Davies, Bethany S; Rafique, Jethin; Vincent, Tim R; Fairclough, Jil; Packer, Mark H; Vincent, Richard; Haq, Inam
2012-01-12
Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. 387 medical students were provided with a personal digital assistant (PDA) loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors.The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers.
2012-01-01
Background Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. Methods 387 medical students were provided with a personal digital assistant (PDA) loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Results Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. Conclusions This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors. The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers. PMID:22240206
ERIC Educational Resources Information Center
Cepeda, Francisco Javier Delgado
2017-01-01
This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…
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…
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.…
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…
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…
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…
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.
Utilization of Smartphones in Science Teaching and Learning in Selected Universities in Ghana
ERIC Educational Resources Information Center
Twum, Rosemary
2017-01-01
This study was designed to examine the use of mobile phone, a widespread technology, and determined how this technology influences science students' learning. The study intended to examine the use of smartphones in science teaching and learning and propose of model in the use of smartphones for teaching and learning. The research design employed…
Facilitating Language Tests Delivery through Tablet PCs
ERIC Educational Resources Information Center
Garcia Laborda, Jesus; Magal Royo, Teresa; Rodriguez Lazaro, Nieves; Marugan, L. Fuentes
2015-01-01
Modern trends in educational technology have evidenced the increasing importance of mobile devices in language learning. The need of sophisticated devices that can facilitate lifelong learning wherever the students might be. Facilitating learning, however, implies that students have to be assessed through the same delivery models that are used in…
Mobile Technology Integrated Pedagogical Model
ERIC Educational Resources Information Center
Khan, Arshia
2014-01-01
Integrated curricula and experiential learning are the main ingredients to the recipe to improve student learning in higher education. In the academic computer science world it is mostly assumed that this experiential learning takes place at a business as an internship experience. The intent of this paper is to schism the traditional understanding…
Social Knowledge Awareness Map for Computer Supported Ubiquitous Learning Environment
ERIC Educational Resources Information Center
El-Bishouty, Moushir M.; Ogata, Hiroaki; Rahman, Samia; Yano, Yoneo
2010-01-01
Social networks are helpful for people to solve problems by providing useful information. Therefore, the importance of mobile social software for learning has been supported by many researches. In this research, a model of personalized collaborative ubiquitous learning environment is designed and implemented in order to support learners doing…
Bae, Sangwon; Chung, Tammy; Ferreira, Denzil; Dey, Anind K; Suffoletto, Brian
2018-08-01
Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical. To evaluate whether phone sensor data and machine learning models are useful to detect alcohol use events, and to discuss implications of these results for just-in-time mobile interventions. 38 non-treatment seeking young adult heavy drinkers downloaded AWARE app (which continuously collected mobile phone sensor data), and reported alcohol consumption (number of drinks, start/end time of prior day's drinking) for 28days. We tested various machine learning models using the 20 most informative sensor features to classify time periods as non-drinking, low-risk (1 to 3/4 drinks per occasion for women/men), and high-risk drinking (>4/5 drinks per occasion for women/men). Among 30 participants in the analyses, 207 non-drinking, 41 low-risk, and 45 high-risk drinking episodes were reported. A Random Forest model using 30-min windows with 1day of historical data performed best for detecting high-risk drinking, correctly classifying high-risk drinking windows 90.9% of the time. The most informative sensor features were related to time (i.e., day of week, time of day), movement (e.g., change in activities), device usage (e.g., screen duration), and communication (e.g., call duration, typing speed). Preliminary evidence suggests that sensor data captured from mobile phones of young adults is useful in building accurate models to detect periods of high-risk drinking. Interventions using mobile phone sensor features could trigger delivery of a range of interventions to potentially improve effectiveness. Copyright © 2017 Elsevier Ltd. All rights reserved.
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…
NASA Astrophysics Data System (ADS)
Ulfa, Andi Maria; Sugiyarto, Kristian H.; Ikhsan, Jaslin
2017-05-01
Poor achievement of students' performance on Chemistry may result from unfavourable learning processes. Therefore, innovation on learning process must be created. Regarding fast development of mobile technology, learning process cannot ignore the crucial role of the technology. This research and development (R&D) studies was done to develop android based application and to study the effect of its integration in Learning together (LT) into the improvement of students' learning creativity and cognitive achievement. The development of the application was carried out by adapting Borg & Gall and Dick & Carey model. The developed-product was reviewed by chemist, learning media practitioners, peer reviewers, and educators. After the revision based on the reviews, the application was used in the LT model on the topic of Stoichiometry in a senior high school. The instruments were questionnaires to get comments and suggestion from the reviewers about the application, and the another questionnaire was to collect the data of learning creativity. Another instrument used was a set of test by which data of students' achievement was collected. The results showed that the use of the mobile based application on Learning Together can bring about significant improvement of students' performance including creativity and cognitive achievement.
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…
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.
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…
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.…
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…
ERIC Educational Resources Information Center
Bidarra, José; Rothschild, Meagan; Squire, Kurt; Figueiredo, Mauro
2013-01-01
Smartphones and other mobile devices like the iPhone, Android, Kindle Fire, and iPad have boosted educators' interest in using mobile media for education. Applications from games to augmented reality are thriving in research settings, and in some cases schools and universities, but relatively little is known about how such devices may be used for…
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…
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…
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…
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…
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.
Hybrid evolutionary computing model for mobile agents of wireless Internet multimedia
NASA Astrophysics Data System (ADS)
Hortos, William S.
2001-03-01
The ecosystem is used as an evolutionary paradigm of natural laws for the distributed information retrieval via mobile agents to allow the computational load to be added to server nodes of wireless networks, while reducing the traffic on communication links. Based on the Food Web model, a set of computational rules of natural balance form the outer stage to control the evolution of mobile agents providing multimedia services with a wireless Internet protocol WIP. The evolutionary model shows how mobile agents should behave with the WIP, in particular, how mobile agents can cooperate, compete and learn from each other, based on an underlying competition for radio network resources to establish the wireless connections to support the quality of service QoS of user requests. Mobile agents are also allowed to clone themselves, propagate and communicate with other agents. A two-layer model is proposed for agent evolution: the outer layer is based on the law of natural balancing, the inner layer is based on a discrete version of a Kohonen self-organizing feature map SOFM to distribute network resources to meet QoS requirements. The former is embedded in the higher OSI layers of the WIP, while the latter is used in the resource management procedures of Layer 2 and 3 of the protocol. Algorithms for the distributed computation of mobile agent evolutionary behavior are developed by adding a learning state to the agent evolution state diagram. When an agent is in an indeterminate state, it can communicate to other agents. Computing models can be replicated from other agents. Then the agents transitions to the mutating state to wait for a new information-retrieval goal. When a wireless terminal or station lacks a network resource, an agent in the suspending state can change its policy to submit to the environment before it transitions to the searching state. The agents learn the facts of agent state information entered into an external database. In the cloning process, two agents on a host station sharing a common goal can be merged or married to compose a new agent. Application of the two-layer set of algorithms for mobile agent evolution, performed in a distributed processing environment, is made to the QoS management functions of the IP multimedia IM sub-network of the third generation 3G Wideband Code-division Multiple Access W-CDMA wireless network.
The use of a mobile assistant learning system for health education based on project-based learning.
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.
Research and application of mobile teaching platform
NASA Astrophysics Data System (ADS)
Yang, Ping; Xue, Hongjiao
2017-08-01
The application of mobile technology in university digital campus is ripe. This article mainly introduced the necessity of teaching platform based on mobile Internet in the teaching of higher vocational education, and the key to the construction of the feasibility of mobile learning platform, which is a feasible and effective teaching model under the new situation, worthy of promotion. The design and application of teaching platform based on mobile Internet is the change of educational ideas and working methods, and is the new starting point of Higher Vocational education.
Learning models of Human-Robot Interaction from small data
Zehfroosh, Ashkan; Kokkoni, Elena; Tanner, Herbert G.; Heinz, Jeffrey
2018-01-01
This paper offers a new approach to learning discrete models for human-robot interaction (HRI) from small data. In the motivating application, HRI is an integral part of a pediatric rehabilitation paradigm that involves a play-based, social environment aiming at improving mobility for infants with mobility impairments. Designing interfaces in this setting is challenging, because in order to harness, and eventually automate, the social interaction between children and robots, a behavioral model capturing the causality between robot actions and child reactions is needed. The paper adopts a Markov decision process (MDP) as such a model, and selects the transition probabilities through an empirical approximation procedure called smoothing. Smoothing has been successfully applied in natural language processing (NLP) and identification where, similarly to the current paradigm, learning from small data sets is crucial. The goal of this paper is two-fold: (i) to describe our application of HRI, and (ii) to provide evidence that supports the application of smoothing for small data sets. PMID:29492408
Learning models of Human-Robot Interaction from small data.
Zehfroosh, Ashkan; Kokkoni, Elena; Tanner, Herbert G; Heinz, Jeffrey
2017-07-01
This paper offers a new approach to learning discrete models for human-robot interaction (HRI) from small data. In the motivating application, HRI is an integral part of a pediatric rehabilitation paradigm that involves a play-based, social environment aiming at improving mobility for infants with mobility impairments. Designing interfaces in this setting is challenging, because in order to harness, and eventually automate, the social interaction between children and robots, a behavioral model capturing the causality between robot actions and child reactions is needed. The paper adopts a Markov decision process (MDP) as such a model, and selects the transition probabilities through an empirical approximation procedure called smoothing. Smoothing has been successfully applied in natural language processing (NLP) and identification where, similarly to the current paradigm, learning from small data sets is crucial. The goal of this paper is two-fold: (i) to describe our application of HRI, and (ii) to provide evidence that supports the application of smoothing for small data sets.
Viability, Advantages and Design Methodologies of M-Learning Delivery
ERIC Educational Resources Information Center
Zabel, Todd W.
2010-01-01
The purpose of this study was to examine the viability and principle design methodologies of Mobile Learning models in developing regions. Demographic and market studies were utilized to determine the viability of M-Learning delivery as well as best uses for such technologies and methods given socioeconomic and political conditions within the…
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…
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.…
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…
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…
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…
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…
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…
Participatory Scaling through Augmented Reality Learning through Local Games
ERIC Educational Resources Information Center
Martin, John; Dikkers, Seann; Squire, Kurt; Gagnon, David
2014-01-01
The proliferation of broadband mobile devices, which many students bring to school with them as mobile phones, makes the widespread adoption of AR pedagogies a possibility, but pedagogical, distribution, and training models are needed to make this innovation an integrated part of education, This paper employs Social Construction of Technology…
Unveiling the Mobile Learning Paradox.
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.
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.
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…
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…
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…
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…
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.
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…
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,…
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,…
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…
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…
Exploring the use of mobile technologies for the acquisition of clinical skills.
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.
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…
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…
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…
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,…
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…
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…
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…
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…
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…
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…
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.…
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.…
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…
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…
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…
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.
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…
Ku, Joy P; Hicks, Jennifer L; Hastie, Trevor; Leskovec, Jure; Ré, Christopher; Delp, Scott L
2015-11-01
Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center (http://mobilize.stanford.edu) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. The Center is organized around 4 data science research cores: biomechanical modeling, statistical learning, behavioral and social modeling, and integrative modeling. Important biomedical applications, such as osteoarthritis and weight management, will focus the development of new data science methods. By developing these new approaches, sharing data and validated software tools, and training thousands of researchers, the Mobilize Center will transform human movement research. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
An augmented reality tool for learning spatial anatomy on mobile devices.
Jain, Nishant; Youngblood, Patricia; Hasel, Matthew; Srivastava, Sakti
2017-09-01
Augmented Realty (AR) offers a novel method of blending virtual and real anatomy for intuitive spatial learning. Our first aim in the study was to create a prototype AR tool for mobile devices. Our second aim was to complete a technical evaluation of our prototype AR tool focused on measuring the system's ability to accurately render digital content in the real world. We imported Computed Tomography (CT) data derived virtual surface models into a 3D Unity engine environment and implemented an AR algorithm to display these on mobile devices. We investigated the accuracy of the virtual renderings by comparing a physical cube with an identical virtual cube for dimensional accuracy. Our comparative study confirms that our AR tool renders 3D virtual objects with a high level of accuracy as evidenced by the degree of similarity between measurements of the dimensions of a virtual object (a cube) and the corresponding physical object. We developed an inexpensive and user-friendly prototype AR tool for mobile devices that creates highly accurate renderings. This prototype demonstrates an intuitive, portable, and integrated interface for spatial interaction with virtual anatomical specimens. Integrating this AR tool with a library of CT derived surface models provides a platform for spatial learning in the anatomy curriculum. The segmentation methodology implemented to optimize human CT data for mobile viewing can be extended to include anatomical variations and pathologies. The ability of this inexpensive educational platform to deliver a library of interactive, 3D models to students worldwide demonstrates its utility as a supplemental teaching tool that could greatly benefit anatomical instruction. Clin. Anat. 30:736-741, 2017. © 2017Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.
A Web 2.0 Personal Learning Environment for Classical Chinese Poetry
NASA Astrophysics Data System (ADS)
Cao, Yiwei; Klamma, Ralf; Gao, Yan; Lau, Rynson W. H.; Jarke, Matthias
Classical Chinese Poetry (CCP) is a valuable but almost locked treasure chest of human wisdom and civilization since 2000 years. With the advent of the Web 2.0 a renaissance of CCP is possible even outside Chinese-speaking communities world-wide. With mobile technologies and educational games we can address new learning communities for CCP and open the chest again. In this paper, we introduce a Web 2.0 personal learning environment for CCP. We have developed a generic and interoperable data model for CCP we utilize not only for mobile learning scenarios but also for educational gaming with different levels of difficulty. Learners are empowered to learn Chinese poetry, language, history, and culture. This research work shows how modern information technologies assist users to diffuse knowledge across the borderlines of communities and societies.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
ERIC Educational Resources Information Center
Paull, Megan; Whitsed, Craig; Girardi, Antonia
2016-01-01
Global perspectives and interpersonal and intercultural communication competencies are viewed as a priority within higher education. For management educators, globalisation, student mobility and widening pathways present numerous challenges, but afford opportunities for curriculum innovation. The "Interaction for Learning Framework"…
Mobile Inverted Constructivism: Education of Interaction Technology in Social Media
ERIC Educational Resources Information Center
Chai, Jia-Xiang; Fan, Kuo-Kuang
2016-01-01
The combination of social media and invert teaching is a new path to inverting interation technology education and reconstructing the curriculum of context. In this paper, based on the theory of constructivism learning, a model named Mobile Inverted Constructivism (MIC) is provided. Moreover, in view of the functional quality of social media in…
iArchi[tech]ture: Developing a Mobile Social Media Framework for Pedagogical Transformation
ERIC Educational Resources Information Center
Cochrane, Thomas; Rhodes, David
2013-01-01
This paper critiques the journey of pedagogical change over three mobile learning (mlearning) project iterations (2009 to 2011) within the context of a Bachelor of Architecture degree. The three projects were supported by an intentional community of practice model involving a partnership of an educational researcher/technologist, course lecturers,…
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
From teaching to learning in a mobile, wireless world.
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.
A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning.
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.
A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning
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
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…
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…
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…
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…
Activity-Based Costing Models for Alternative Modes of Delivering On-Line Courses
ERIC Educational Resources Information Center
Garbett, Chris
2011-01-01
In recent years there has been growth in online distance learning courses. This has been prompted by; new technology such as the Internet, mobile learning, video and audio conferencing: the explosion in student numbers in Higher Education, and the need for outreach to a world wide market. Web-based distance learning is seen as a solution to…
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.
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,…
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…
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.…
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…
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…
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…
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…
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…
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…
A Service-oriented Approach towards Context-aware Mobile Learning Management Systems
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
Mobile Perspectives: On iPads--Why Mobile?
ERIC Educational Resources Information Center
Gawelek, Mary Ann; Spataro, Mary; Komarny, Phil
2011-01-01
Along with their students, faculty have become co-learners and pioneers in the classroom. With no models to work from, they have had to explore, practice, and discover the iPad's potential for expanding learning. Given the recent and rapidly growing access to a dazzling array of intellectual technologies, faculty and staff at Seton Hill, a liberal…
ERIC Educational Resources Information Center
Cheng, Li
2016-01-01
The development of students' professional skills is an important issue in higher education in China. This research reports a 3-month study investigating engineering students' communication strategies (CSs) while they were interacting to do a 12-week mobile-assisted learning project, i.e., "Organizing and Attending a Model International…
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.
Object Lesson: Discovering and Learning to Recognize Objects
2002-01-01
4 x 4 grid represents the possible appearance of an edge, quantized to just two luminance levels. The dark line centered in the grid is the average...11):33-38, 1995. [16] Maja J. Mataric . A distributed model for mobile robot environment-learning and navigation. Technical Report AIlR- 1228
Reinforcing In-Service Teachers Education via ICT
ERIC Educational Resources Information Center
Thorsteinsson, Gisli
2012-01-01
Earlier educational models have not managed to take into account novel contextual and mobile methods of learning with the advances in technology-mediated learning. The article firstly reports an educational approach, namely, future innovative in-service teacher education in Europe (ICE-ED). This project was supported by the European Union Comenius…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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,…
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…
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…
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…
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…
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…
Streamlining machine learning in mobile devices for remote sensing
NASA Astrophysics Data System (ADS)
Coronel, Andrei D.; Estuar, Ma. Regina E.; Garcia, Kyle Kristopher P.; Dela Cruz, Bon Lemuel T.; Torrijos, Jose Emmanuel; Lim, Hadrian Paulo M.; Abu, Patricia Angela R.; Victorino, John Noel C.
2017-09-01
Mobile devices have been at the forefront of Intelligent Farming because of its ubiquitous nature. Applications on precision farming have been developed on smartphones to allow small farms to monitor environmental parameters surrounding crops. Mobile devices are used for most of these applications, collecting data to be sent to the cloud for storage, analysis, modeling and visualization. However, with the issue of weak and intermittent connectivity in geographically challenged areas of the Philippines, the solution is to provide analysis on the phone itself. Given this, the farmer gets a real time response after data submission. Though Machine Learning is promising, hardware constraints in mobile devices limit the computational capabilities, making model development on the phone restricted and challenging. This study discusses the development of a Machine Learning based mobile application using OpenCV libraries. The objective is to enable the detection of Fusarium oxysporum cubense (Foc) in juvenile and asymptomatic bananas using images of plant parts and microscopic samples as input. Image datasets of attached, unattached, dorsal, and ventral views of leaves were acquired through sampling protocols. Images of raw and stained specimens from soil surrounding the plant, and sap from the plant resulted to stained and unstained samples respectively. Segmentation and feature extraction techniques were applied to all images. Initial findings show no significant differences among the different feature extraction techniques. For differentiating infected from non-infected leaves, KNN yields highest average accuracy, as opposed to Naive Bayes and SVM. For microscopic images using MSER feature extraction, KNN has been tested as having a better accuracy than SVM or Naive-Bayes.
A Developmental Learning Approach of Mobile Manipulator via Playing
Wu, Ruiqi; Zhou, Changle; Chao, Fei; Zhu, Zuyuan; Lin, Chih-Min; Yang, Longzhi
2017-01-01
Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are implied in the goals of a series of game tasks. The games are characterized into a sequence of game modes based on the complexity of the game tasks from simple to complex, and the task complexity is determined by the applications of developmental constraints. Given a current mode, the robot switches to play in a more complicated game mode when it cannot find any new salient stimuli in the current mode. By doing so, the robot gradually achieves it developmental goals by playing different modes of games. In the experiment, the game was instantiated into a mobile robot with the playing task of picking up toys, and the game is designed with a simple game mode and a complex game mode. A developmental algorithm, “Lift-Constraint, Act and Saturate,” is employed to drive the mobile robot move from the simple mode to the complex one. The experimental results show that the mobile manipulator is able to successfully learn the mobile grasping ability after playing simple and complex games, which is promising in developing robotic abilities to solve complex tasks using games. PMID:29046632
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…
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…
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…
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,…
Mobile clinics in Haiti, part 2: Lessons learned through service.
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.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
NASA Astrophysics Data System (ADS)
Javorcik, Tomas
2017-11-01
The paper is aimed at the description of a PLE (Personal Learning Environment)-based teaching model suitable for implementation in the instruction of upper primary school students. The paper describes the individual stages of the model and its use of ICT (Information and Communication Technologies) tools. The Personal Learning Environment is a form of instruction which allows for the meaningful use of information and communication technologies (including mobile technologies) in their entirety.
A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets.
Chen, Jie-Hao; Zhao, Zi-Qian; Shi, Ji-Yun; Zhao, Chong
2017-01-01
In recent years, with the rapid development of mobile Internet and its business applications, mobile advertising Click-Through Rate (CTR) estimation has become a hot research direction in the field of computational advertising, which is used to achieve accurate advertisement delivery for the best benefits in the three-side game between media, advertisers, and audiences. Current research on the estimation of CTR mainly uses the methods and models of machine learning, such as linear model or recommendation algorithms. However, most of these methods are insufficient to extract the data features and cannot reflect the nonlinear relationship between different features. In order to solve these problems, we propose a new model based on Deep Belief Nets to predict the CTR of mobile advertising, which combines together the powerful data representation and feature extraction capability of Deep Belief Nets, with the advantage of simplicity of traditional Logistic Regression models. Based on the training dataset with the information of over 40 million mobile advertisements during a period of 10 days, our experiments show that our new model has better estimation accuracy than the classic Logistic Regression (LR) model by 5.57% and Support Vector Regression (SVR) model by 5.80%.
A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets
Zhao, Zi-Qian; Shi, Ji-Yun; Zhao, Chong
2017-01-01
In recent years, with the rapid development of mobile Internet and its business applications, mobile advertising Click-Through Rate (CTR) estimation has become a hot research direction in the field of computational advertising, which is used to achieve accurate advertisement delivery for the best benefits in the three-side game between media, advertisers, and audiences. Current research on the estimation of CTR mainly uses the methods and models of machine learning, such as linear model or recommendation algorithms. However, most of these methods are insufficient to extract the data features and cannot reflect the nonlinear relationship between different features. In order to solve these problems, we propose a new model based on Deep Belief Nets to predict the CTR of mobile advertising, which combines together the powerful data representation and feature extraction capability of Deep Belief Nets, with the advantage of simplicity of traditional Logistic Regression models. Based on the training dataset with the information of over 40 million mobile advertisements during a period of 10 days, our experiments show that our new model has better estimation accuracy than the classic Logistic Regression (LR) model by 5.57% and Support Vector Regression (SVR) model by 5.80%. PMID:29209363
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…
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…
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.
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.
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.
ERIC Educational Resources Information Center
Kumar, Lalita S.; Jamatia, Biplab; Aggarwal, A. K.; Kannan, S.
2011-01-01
This paper reports the findings of a study conducted to analyse the effect of mobile device intervention for student support services and to gauge its use for enhancing teaching--learning process as a future study in the context of offer of Distance Education programmes. The study was conducted with the learners of the coveted Post Graduate…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Clinical Training at Remote Sites Using Mobile Technology: An India-USA Partnership
ERIC Educational Resources Information Center
Vyas, R.; Albright, S.; Walker, D.; Zachariah, A.; Lee, M. Y.
2010-01-01
Christian Medical College (CMC), India, and Tufts University School of Medicine, USA, have developed an "institutional hub and spokes" model (campus-based e-learning supporting m-learning in the field) to facilitate clinical education and training at remote secondary hospital sites across India. Iterative research, design, development,…
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…
Willemse, Juliana J; Bozalek, Vivienne
2015-01-01
Promoting the quality and effectiveness of nursing education is an important factor, given the increased demand for nursing professionals. It is important to establish learning environments that provide personalised guidance and feedback to students about their practical skills and application of their theoretical knowledge. To explore and describe the knowledge and points of view of students and educators about introduction of new technologies into an undergraduate nursing programme. The qualitative design used Tesch's (1990) steps of descriptive data analysis to complete thematic analysis of the data collected in focus group discussions (FGDs) and individual interviews to identify themes. Themes identified from the students’ FGDs and individual interviews included: mobile devices as a communication tool; email, WhatsApp and Facebook as methods of communication; WhatsApp as a method of communication; nurses as role-models in the clinical setting; setting personal boundaries; and impact of mobile devices in clinical practice on professionalism. Themes identified from the FGD, individual interviews and a discussion session held with educators included: peer learning via mobile devices; email, WhatsApp and Facebook as methods of communication; the mobile device as a positive learning method; students need practical guidance; and ethical concerns in clinical facilities about Internet access and use of mobile devices. The research project established an understanding of the knowledge and points of view of students and educators regarding introduction of new technologies into an undergraduate nursing programme with the aim of enhancing integration of theory and clinical practice through use of mobile devices.
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…
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…
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…
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…
A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning.
Fernandes, Roshan; D'Souza G L, Rio
2017-10-19
Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better location based services and to recalculate paths in Mobile Ad hoc Networks (MANET). In the present study, a framework is presented which predicts user mobility in presence and absence of mobility history. Naïve Bayesian classification algorithm and Markov Model are used to predict user future location when user mobility history is available. An attempt is made to predict user future location by using Short Message Service (SMS) and instantaneous Geological coordinates in the absence of mobility patterns. The proposed technique compares the performance metrics with commonly used Markov Chain model. From the experimental results it is evident that the techniques used in this work gives better results when considering both spatial and temporal information. The proposed method predicts user's future location in the absence of mobility history quite fairly. The proposed work is applied to predict the mobility of medical rescue vehicles and social security systems.
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
A semi-quantitative and thematic analysis of medical student attitudes towards M-Learning.
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.
Co-Designing Mobile Apps to Assist in Clinical Nursing Education: A Study Protocol.
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.
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:…
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…
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…
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…
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…
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…
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…
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…
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…
Conceptual Model Learning Objects and Design Recommendations for Small Screens
ERIC Educational Resources Information Center
Churchill, Daniel
2011-01-01
This article presents recommendations for the design of conceptual models for applications via handheld devices such as personal digital assistants and some mobile phones. The recommendations were developed over a number of years through experience that involves design of conceptual models, and applications of these multimedia representations with…
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…
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…
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…
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…
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…
ERIC Educational Resources Information Center
Gong, Yu
2017-01-01
This study investigates how students can use "interactive example models" in inquiry activities to develop their conceptual knowledge about an engineering phenomenon like electromagnetic fields and waves. An interactive model, for example a computational model, could be used to develop and teach principles of dynamic complex systems, and…
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.
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.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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;…
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…
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,…
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…
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…
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…
Mobile learning module improves knowledge of medical shock for forward surgical team members.
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.
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.
AGM: A DSL for mobile cloud computing based on directed graph
NASA Astrophysics Data System (ADS)
Tanković, Nikola; Grbac, Tihana Galinac
2016-06-01
This paper summarizes a novel approach for consuming a domain specific language (DSL) by transforming it to a directed graph representation persisted by a graph database. Using such specialized database enables advanced navigation trough the stored model exposing only relevant subsets of meta-data to different involved services and components. We applied this approach in a mobile cloud computing system and used it to model several mobile applications in retail, supply chain management and merchandising domain. These application are distributed in a Software-as-a-Service (SaaS) fashion and used by thousands of customers in Croatia. We report on lessons learned and propose further research on this topic.
Reinforcement Learning Based Web Service Compositions for Mobile Business
NASA Astrophysics Data System (ADS)
Zhou, Juan; Chen, Shouming
In this paper, we propose a new solution to Reactive Web Service Composition, via molding with Reinforcement Learning, and introducing modified (alterable) QoS variables into the model as elements in the Markov Decision Process tuple. Moreover, we give an example of Reactive-WSC-based mobile banking, to demonstrate the intrinsic capability of the solution in question of obtaining the optimized service composition, characterized by (alterable) target QoS variable sets with optimized values. Consequently, we come to the conclusion that the solution has decent potentials in boosting customer experiences and qualities of services in Web Services, and those in applications in the whole electronic commerce and business sector.
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…
Delivering and Assessing Learning Material through Gquest: A Case Study on Patient Education
ERIC Educational Resources Information Center
Lanzola, Giordano; Ginardi, Germana; Russo, Paola; Quaglini, Silvana
2014-01-01
Gquest is a mobile platform for administering interviewing and learning material. It relies on a model that supports adaptivity in the dialog with its users and enforces consistency rules to constrain their input. Gquest downloads its modules over the air making them available to the users, then a synchronization engine collects any input provided…
Freedom Schools Then and Now: A Transformative Approach to Learning
ERIC Educational Resources Information Center
Watson, Marcia
2014-01-01
The purpose of this paper is to provide a historical and conceptual link between Ella Baker's Freedom School model and Paulo Freire's demand for critical education and emancipatory learning. Ella Baker, situated in the daunting environment of the Civil Rights Movement, saw education as a tool for social mobility for Mississippi residents in 1964.…
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…
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…
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…
Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings.
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.
2013-07-01
the devices increase efficiency and make instruction easier for them. (1) Demonstrate the ability of mobile learning to improve student learning ...predictors of learning , after controlling for the effects of cognitive ability and pre-training knowledge of the subject matter. Equally as...conventional teaching. PBL is an instructional model originally developed in medical schools , in which students are given a complex problem to solve that may
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.
Model driven mobile care for patients with type 1 diabetes.
Skrøvseth, Stein Olav; Arsand, Eirik; Godtliebsen, Fred; Joakimsen, Ragnar M
2012-01-01
We gathered a data set from 30 patients with type 1 diabetes by giving the patients a mobile phone application, where they recorded blood glucose measurements, insulin injections, meals, and physical activity. Using these data as a learning data set, we describe a new approach of building a mobile feedback system for these patients based on periodicities, pattern recognition, and scale-space trends. Most patients have important patterns for periodicities and trends, though better resolution of input variables is needed to provide useful feedback using pattern recognition.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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"…
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…
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.
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.
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…
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…
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…
[Dental education for college students based on WeChat public platform].
Chen, Chuan-Jun; Sun, Tan
2016-06-01
The authors proposed a model for dental education based on WeChat public platform. In this model, teachers send various kinds of digital teaching information such as PPT,word and video to the WeChat public platform and students share the information for preview before class and differentiate the key-point knowledge from those information for in-depth learning in class. Teachers also send reference materials for expansive learning after class. Questionaire through the WeChat public platform is used to evaluate teaching effect of teachers and improvement may be taken based on the feedback questionnaire. A discussion and interaction based on WeCchat between students and teacher can be aroused on a specific topic to reach a proper solution. With technique development of mobile terminal, mobile class will come true in near future.
Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study
Yang, Pei-Ching; Chang, Chia-Chi; Chiang, Jung-Hsien; Chen, Ying-Yeh
2016-01-01
Background Prompt recognition and intervention of negative emotions is crucial for patients with depression. Mobile phones and mobile apps are suitable technologies that can be used to recognize negative emotions and intervene if necessary. Objective Mobile phone usage patterns can be associated with concurrent emotional states. The objective of this study is to adapt machine-learning methods to analyze such patterns for the prediction of negative emotion. Methods We developed an Android-based app to capture emotional states and mobile phone usage patterns, which included call logs (and use of apps). Visual analog scales (VASs) were used to report negative emotions in dimensions of depression, anxiety, and stress. In the system-training phase, participants were requested to tag their emotions for 14 consecutive days. Five feature-selection methods were used to determine individual usage patterns and four machine-learning methods were tested. Finally, rank product scoring was used to select the best combination to construct the prediction model. In the system evaluation phase, participants were then requested to verify the predicted negative emotions for at least 5 days. Results Out of 40 enrolled healthy participants, we analyzed data from 28 participants, including 30% (9/28) women with a mean (SD) age of 29.2 (5.1) years with sufficient emotion tags. The combination of time slots of 2 hours, greedy forward selection, and Naïve Bayes method was chosen for the prediction model. We further validated the personalized models in 18 participants who performed at least 5 days of model evaluation. Overall, the predictive accuracy for negative emotions was 86.17%. Conclusion We developed a system capable of predicting negative emotions based on mobile phone usage patterns. This system has potential for ecological momentary intervention (EMI) for depressive disorders by automatically recognizing negative emotions and providing people with preventive treatments before it escalates to clinical depression. PMID:27511748
Identification of Mobile Phones Using the Built-In Magnetometers Stimulated by Motion Patterns.
Baldini, Gianmarco; Dimc, Franc; Kamnik, Roman; Steri, Gary; Giuliani, Raimondo; Gentile, Claudio
2017-04-06
We investigate the identification of mobile phones through their built-in magnetometers. These electronic components have started to be widely deployed in mass market phones in recent years, and they can be exploited to uniquely identify mobile phones due their physical differences, which appear in the digital output generated by them. This is similar to approaches reported in the literature for other components of the mobile phone, including the digital camera, the microphones or their RF transmission components. In this paper, the identification is performed through an inexpensive device made up of a platform that rotates the mobile phone under test and a fixed magnet positioned on the edge of the rotating platform. When the mobile phone passes in front of the fixed magnet, the built-in magnetometer is stimulated, and its digital output is recorded and analyzed. For each mobile phone, the experiment is repeated over six different days to ensure consistency in the results. A total of 10 phones of different brands and models or of the same model were used in our experiment. The digital output from the magnetometers is synchronized and correlated, and statistical features are extracted to generate a fingerprint of the built-in magnetometer and, consequently, of the mobile phone. A SVM machine learning algorithm is used to classify the mobile phones on the basis of the extracted statistical features. Our results show that inter-model classification (i.e., different models and brands classification) is possible with great accuracy, but intra-model (i.e., phones with different serial numbers and same model) classification is more challenging, the resulting accuracy being just slightly above random choice.
Identification of Mobile Phones Using the Built-In Magnetometers Stimulated by Motion Patterns
Baldini, Gianmarco; Dimc, Franc; Kamnik, Roman; Steri, Gary; Giuliani, Raimondo; Gentile, Claudio
2017-01-01
We investigate the identification of mobile phones through their built-in magnetometers. These electronic components have started to be widely deployed in mass market phones in recent years, and they can be exploited to uniquely identify mobile phones due their physical differences, which appear in the digital output generated by them. This is similar to approaches reported in the literature for other components of the mobile phone, including the digital camera, the microphones or their RF transmission components. In this paper, the identification is performed through an inexpensive device made up of a platform that rotates the mobile phone under test and a fixed magnet positioned on the edge of the rotating platform. When the mobile phone passes in front of the fixed magnet, the built-in magnetometer is stimulated, and its digital output is recorded and analyzed. For each mobile phone, the experiment is repeated over six different days to ensure consistency in the results. A total of 10 phones of different brands and models or of the same model were used in our experiment. The digital output from the magnetometers is synchronized and correlated, and statistical features are extracted to generate a fingerprint of the built-in magnetometer and, consequently, of the mobile phone. A SVM machine learning algorithm is used to classify the mobile phones on the basis of the extracted statistical features. Our results show that inter-model classification (i.e., different models and brands classification) is possible with great accuracy, but intra-model (i.e., phones with different serial numbers and same model) classification is more challenging, the resulting accuracy being just slightly above random choice. PMID:28383482
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,…
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'…
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…
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…
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…
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…
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…
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,…
A Mobile Learning Module for High School Fieldwork
ERIC Educational Resources Information Center
Hsu, Tzu-Yen; Chen, Che-Ming
2010-01-01
Although fieldwork is always cited as an important component of geographic education, there are many obstacles for executing high school fieldwork. Mobile electronic products are becoming popular and some schools are able to acquire these devices for mobile learning. This study attempts to provide a mobile-assisted means of guiding students…
Reflections on Ways Forward for Addressing Ethical Concerns in Mobile Learning Research
ERIC Educational Resources Information Center
Wishart, Jocelyn
2016-01-01
This paper reflects on a decade of discussions about the range of ethical issues arising in mobile learning research. Research into the educational potential of mobile, handheld technologies to enhance teaching and learning has been regularly frustrated by lecturers' and teachers' concerns about how their students might use such devices. At other…
Readiness for Mobile Learning: Multidisciplinary Cases from Yaroslavl State University
ERIC Educational Resources Information Center
Khryashchev, Vladimir; Kasatkina, Natalia; Sokolenko, Dmitry
2017-01-01
The survey data suggest a high technical and sufficient psychological readiness of Yaroslavl State University students to use mobile devices in learning. The results of the research prove that students have an above the average level of interest and motivation in learning with the help of mobile devices. Nevertheless, it is obvious that there is a…
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…
Mobile Augmented Reality as Usability to Enhance Nurse Prevent Violence Learning Satisfaction.
Hsu, Han-Jen; Weng, Wei-Kai; Chou, Yung-Lang; Huang, Pin-Wei
2018-01-01
Violence in hospitals, nurses are at high risk of patient's aggression in the workplace. This learning course application Mobile Augmented Reality to enhance nurse to prevent violence skill. Increasingly, mobile technologies introduced and integrated into classroom teaching and clinical applications. Improving the quality of learning course and providing new experiences for nurses.
ERIC Educational Resources Information Center
Tagoe, Michael Ayitey; Abakah, Ellen
2014-01-01
The use of mobile technologies in the classroom is transforming teaching and learning in higher institutions. This study investigated University of Ghana Distance Education students' perceptions toward mobile learning. The paper using the theory of planned behaviour (TPB) explained how students' beliefs influenced students' intention to adopt…
ERIC Educational Resources Information Center
Seely, Brian J.
2015-01-01
This study aims to advance learning outdoors with mobile devices. As part of the ongoing Tree Investigators design-based research study, this research investigated a mobile application to support observation, identification, and explanation of the tree life cycle within an authentic, outdoor setting. Recognizing the scientific and conceptual…
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…
The Effect of Mobile Learning on Students' Achievement and Conversational Skills
ERIC Educational Resources Information Center
Elfeky, Abdellah Ibrahim Mohammed; Masadeh, Thouqan Saleem Yakoub
2016-01-01
The present study aimed to examine the effect of Mobile Learning, which is a kind of E-learning that uses mobile devices, on the development of the academic achievement and conversational skills of English language specialty students at Najran University. The study used the quasi-experimental approach. Participants consisted of (50) students who…
Learning Bridges: A Role for Mobile Technologies in Education
ERIC Educational Resources Information Center
Vavoula, Giasemi; Sharples, Mike; Lonsdale, Peter; Rudman, Paul; Meek, Julia
2007-01-01
MyArtSpace is a service for children to spread their learning between schools and museums using mobile phones linked to a personal Web space. Using MyArtSpace as an example, the authors discuss the possibilities for mobile technology to form bridges between formal and informal learning. They also offer guidelines for designing such bridges.…
Evaluation of a Mobile Learning Organiser for University Students
ERIC Educational Resources Information Center
Corlett, Dan; Sharples, Mike; Bull, Susan; Chan, Tony
2005-01-01
This paper describes a 10-month trial of a mobile learning organiser, developed for use by university students. Implemented on a wireless-enabled Pocket PC hand-held computer, the organiser makes use of existing mobile applications as well as tools designed specifically for students to manage their learning. The trial set out to identify the…
English Language Learners' Reading Self-Efficacy and Achievement Using 1:1 Mobile Learning Devices
ERIC Educational Resources Information Center
Walters, Jennifer L.
2012-01-01
Handheld technology devices allow users to be mobile and access the Internet, personal data, and third-party content applications in many different environments at the users' convenience. The explosion of these mobile learning devices around the globe has led adults to value them for communication, productivity, and learning. Outside of the school…
The Impact of Experiencing a Mobile Game on Teachers' Attitudes towards Mobile Learning
ERIC Educational Resources Information Center
Meishar-Tal, Hagit; Ronen, Miky
2017-01-01
This paper describes a workshop held as part of preparations for a large scale implementation of a mobile game designed to support learning of the topic "my hometown." The study reveals teachers' attitudes towards the incorporation of smartphones in teaching and learning in school and whether these attitudes changed after experiencing…
Experiencing a Mobile Game and Its Impact on Teachers' Attitudes towards Mobile Learning
ERIC Educational Resources Information Center
Meishar-Tal, Hagit; Ronen, Miky
2016-01-01
This paper describes a workshop held as part of preparations for a large scale implementation of a mobile game designed to support learning of the topic "my hometown". The study reveals teachers' attitudes towards the incorporation of smartphones in teaching and learning in school and whether these attitudes changed after experiencing…
Blended Learning via Mobile Social Media & Implementation of "EDMODO" in Reading Classes
ERIC Educational Resources Information Center
Yagci, Tahsin
2015-01-01
Almost there is nowhere that we don't use permeated smart technology. Increasingly developing mobile and wireless innovations forced us to integrate them to all fields in our lives. The latest trend in education is now blended learning and applications of mobile learning in educational environments. Pervasive and augmented usage of social media…
ERIC Educational Resources Information Center
Barhoumi, Chokri
2015-01-01
This research paper explores the effectiveness of using mobile technologies to support a blended learning course titled Scientific Research Methods in Information Science. Specifically, it discusses the effects of WhatsApp mobile learning activities guided by activity theory on students' knowledge Management (KM). During the 2014 academic year,…
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…
Mobile Devices and Mobile Learning: Shifting the Mindset of Teachers and Learners
ERIC Educational Resources Information Center
Smith, Philippa K.; Grant, Lynn; Conway, Clare; Narayan, Vickel
2016-01-01
Incorporating new media technologies that enable mobile learning to be part of educational practice poses challenges to those used to teaching in a traditional classroom environment. In this article three lecturers and a learning advisor from a New Zealand university reflect on their experiences in the progressive redesign of a Bachelor of Arts…
Empowering Mobile Assisted Social E-Learning: "Students' Expectations and Perceptions"
ERIC Educational Resources Information Center
Wang, Jenny; Yu, Wei-Chieh Wayne; Wu, Emily
2013-01-01
The aim of the present study was to empower mobile assisted social e-learning (eMASE) module that was designed based on social constructivism theory in higher education settings. This study reports findings from a group of undergraduates' expectations and perceptions of e-cooperative learning using mobile social networking apps. The eMASE module…
"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…
Mobile Apps to Support and Assess Foreign Language Learning
ERIC Educational Resources Information Center
Berns, Anke; Palomo-Duarte, Manuel; Dodero, Juan Manuel; Ruiz-Ladrón, Juan Miguel; Márquez, Andrea Calderón
2015-01-01
In the last two decades there have been many attempts to integrate all kinds of mobile devices and apps to support formal as well as informal learning processes. However, most of the available apps still support mainly individual learning, using mobile devices to deliver content rather than providing learners with the opportunity to interact with…
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…
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…
Analysis of Social Media Influencers and Trends on Online and Mobile Learning
ERIC Educational Resources Information Center
Shen, Chien-wen; Kuo, Chin-Jin; Ly, Pham Thi Minh
2017-01-01
Although educational practitioners have adopted social media to their online or mobile communities, little attention has been paid to investigate the social media messages related to online or mobile learning. The purpose of this research is to identify social media influencers and trends by mining Twitter posts related to online learning and…
E-Learning Applications for Urban Modelling and Ogc Standards Using HTML5 Capabilities
NASA Astrophysics Data System (ADS)
Kaden, R.; König, G.; Malchow, C.; Kolbe, T. H.
2012-07-01
This article reports on the development of HTML5 based web-content related to urban modelling with special focus on GML and CityGML, allowing participants to access it regardless of the device platform. An essential part of the learning modules are short video lectures, supplemented by exercises and tests during the lecture to improve students' individual progress and success. The evaluation of the tests is used to guide students through the course content, depending on individual knowledge. With this approach, we provide learning applications on a wide range of devices, either mobile or desktop, fulfil the needs of just-in-time knowledge, and increase the emphasis on lifelong learning.
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…
Investigation of Using Analytics in Promoting Mobile Learning Support
ERIC Educational Resources Information Center
Visali, Videhi; Swami, Niraj
2013-01-01
Learning analytics can promote pedagogically informed use of learner data, which can steer the progress of technology mediated learning across several learning contexts. This paper presents the application of analytics to a mobile learning solution and demonstrates how a pedagogical sense was inferred from the data. Further, this inference was…
Stefansson, Lilja S; Webb, M Elizabeth; Hebert, Luciana E; Masinter, Lisa; Gilliam, Melissa L
2018-03-01
Adolescents experience numerous barriers to obtaining sexual and reproductive health care (SRHC). Mobile Health Units (MHUs) can remove some barriers by traveling to the community. This pilot study developed Mobile SRHC through an iterative process on an existing MHU and evaluated it among adolescents and providers. Mobile SRHC was developed through a mixed-method, multiphase study. Three key informant interviews with MHU providers, an adolescent needs assessment survey, and a Youth Model Development Session informed model development. Emergency contraception (EC), oral contraceptive pills (OCPs), and depot-medroxyprogesterone acetate (DMPA) were sequentially incorporated into MHU services. Administrative data assessed method distribution and surveys assessed patient satisfaction. Key informants held positive attitudes toward implementing Mobile SRHC into their practice. Needs assessment surveys (N = 103) indicated a majority was interested in learning about sexual health (66.0%) and obtaining birth control (54.4%) on an MHU. Over 3 months, 123 adolescents participated in Mobile SRHC. Seven packs and 9 prescriptions of EC, 8 3-month packs and 10 prescriptions of OCPs, and 5 injections and 5 prescriptions of DMPA were distributed. Ninety-two percent of adolescent participants reported they would recommend Mobile SRHC to friends. Mobile SRHC is a feasible approach for reproductive health care among adolescents. © 2018, American School Health Association.
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…
NASA Astrophysics Data System (ADS)
Zhao, Huifu; Chen, Yu; Liu, Dongmei
2017-08-01
There is a saying that "The teacher, proselytizes instructs dispels doubt." Traditional teaching methods, constantly let the students learn the knowledge in order to pursue the knowledge of a solid grasp, then assess the teaching result by evaluating of the degree of knowledge and memory. This approach cannot mobilize the enthusiasm of students to learn, and hinders the development of innovative thinking of students. And this assessment results have no practical significance, decoupling from practical application. As we all know, the course of Applied Optics is based on abstract theory. If the same teaching methods using for this course by such a "duck", it is unable to mobilize students' learning initiative, and then students' study results will be affected by passive acceptance of knowledge. How to take the initiative to acquire knowledge in the class to the students, and fully mobilize the initiative of students and to explore the potential of students, finally evaluation contents more research on the practical significance? Scholars continue to innovate teaching methods, as well as teaching evaluation indicators, the best teaching effect to promote the development of students. Therefore, this paper puts forward a set of teaching evaluation model of teaching autonomy. This so-called "autonomous teaching" is that teachers put forward the request or arrange the task and students complete the learning content in the form of a group to discuss learning before the lesson, and to complete the task of the layout, then teachers accept of students' learning achievements and answer questions. Every task is designed to evaluate the effectiveness of teaching. Every lesson should be combined with the progress of science and technology frontier of Applied Optics, let students understand the relationship between research and application in the future, mobilize the students interest in learning, training ability, learn to take the initiative to explore, team cooperation ability. As well, it has practical significance to every evaluation, making the teaching to active learning in teaching, cultivating students' creative potential, deep, solid foundation for the day after learning work.
Sung, Yao-Ting; Yang, Je-Ming; Lee, Han-Yueh
2017-08-01
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 contributions to collaborative learning is still scarce. The present meta-analysis, which included 48 peer-reviewed journal articles and doctoral dissertations written over a 16-year period (2000-2015) involving 5,294 participants, revealed that mCSCL has produced meaningful improvements for collaborative learning, with an overall mean effect size of 0.516. Moderator variables, such as domain subject, group size, teaching method, intervention duration, and reward method were related to different effect sizes. The results provided implications for future research and practice, such as suggestions on how to appropriately use the functionalities of mobile devices, how to best leverage mCSCL through effective group learning mechanisms, and what outcome variables should be included in future studies to fully elucidate the process and products of mCSCL.
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 contributions to collaborative learning is still scarce. The present meta-analysis, which included 48 peer-reviewed journal articles and doctoral dissertations written over a 16-year period (2000–2015) involving 5,294 participants, revealed that mCSCL has produced meaningful improvements for collaborative learning, with an overall mean effect size of 0.516. Moderator variables, such as domain subject, group size, teaching method, intervention duration, and reward method were related to different effect sizes. The results provided implications for future research and practice, such as suggestions on how to appropriately use the functionalities of mobile devices, how to best leverage mCSCL through effective group learning mechanisms, and what outcome variables should be included in future studies to fully elucidate the process and products of mCSCL. PMID:28989193
What Schooling Could Be Like: Analogies for Learning
ERIC Educational Resources Information Center
Engel, Martin
1974-01-01
A survey of alternative models of education is presented metaphorically. Alternatives suggested include schools more like mobile homes, teaching hospital complexes, summer camps, art classrooms, professional practice, a physician's practice, and libraries and museums. (SDH)
Exploring the Moderating Role of Self-Management of Learning in Mobile English Learning
ERIC Educational Resources Information Center
Huang, Rui-Ting
2014-01-01
Although a considerable number of studies have revealed that self-management of learning (SML) could be closely related to learning achievements, there is still a paucity of research investigating the moderating effect of self-management of learning on mobile learning outcomes. Accordingly, the primary purpose of this study was to explore the…
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.
Undergraduate nurses' preferred use of mobile devices in healthcare settings.
Mather, Carey; Cummings, Elizabeth; Allen, Penny
2015-01-01
The growth of digital technology has created challenges for appropriate and safe use of mobile or portable devices in healthcare environments. There is perceived risk that the use of mobile technology for learning may distract from provision of patient care if used by undergraduate students during work-integrated learning. This paper reports on a study that aimed to identify differences in preferred behavior of student nurses in their use of mobile technology during and away from the clinical practice environment. A previously validated online survey was administered to students during a period of work integrated learning in a range of healthcare settings in two Australian states. Respondents agreed that mobile devices could be beneficial to patient care. Overall, students proposed they would use mobile devices for accessing information, during work integrated learning, less than when away from the workplace. The development of policy to guide the use of mobile devices, in situ, is important to the provision of safe and competent care and improved health outcomes for patients.
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.
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…
63. Mobile Learning in Developing Nations
ERIC Educational Resources Information Center
Motlik, Scott
2008-01-01
This paper looks at the diffusion and applications of mobile phone technology in Asia and Africa, compared with North America. It indicates that Asian distance education can be the global leader in the development of educational uses for the mobile phone; and it considers the potential for mobile learning in Africa and other developing regions.…
Mobile Usability in Educational Contexts: What Have We Learnt?
ERIC Educational Resources Information Center
Kukulska-Hulme, Agnes
2007-01-01
The successful development of mobile learning is dependent on human factors in the use of new mobile and wireless technologies. The majority of mobile learning activity continues to take place on devices that were not designed with educational applications in mind, and usability issues are often reported. The paper reflects on progress in…
An Introduction to Current Trends and Benefits of Mobile Wireless Technology Use in Higher Education
ERIC Educational Resources Information Center
Kim, Sang Hyun; Mims, Clif; Holmes, Kerry P.
2006-01-01
The development of mobile wireless technologies has generated a considerable amount of excitement among practitioners and academics because it results in shifting the academic environment from traditional settings to mobile learning (m-learning) settings. Increasing numbers of institutions of higher education offer courses using mobile wireless…
Practical Evaluation of a Mobile Language Learning Tool in Higher Education
ERIC Educational Resources Information Center
Kétyi, András
2015-01-01
Following on preliminary research (Kétyi, 2013), in this project we looked for a mobile language learning solution, which combines computers and mobile devices. Our main idea was to explore whether by integrating mobile devices in our language teaching practice, our students at the Budapest Business School would gain valuable additional learning…
Investigating Learner Preparedness for and Usage Patterns of Mobile Learning
ERIC Educational Resources Information Center
Stockwell, Glenn
2008-01-01
While the use of mobile devices for language learning has sparked the interest of an increasing number of researchers in recent years (e.g., Aizawa & Kiernan, 2003; Thornton & Houser, 2005), our knowledge of learners' preferences for the mobile platform and their usage patterns remains limited. Are learners prepared to use mobile phones…
Tablets for Informal Language Learning: Student Usage and Attitudes
ERIC Educational Resources Information Center
Chen, Xiao-Bin
2013-01-01
Mobile-assisted language learning (MALL), a relatively new area of CALL inquiry, is gaining more and more attention from language educators with the development of new mobile devices. Tablet computers--featuring high mobility, convenient network connectivity, and smart application extendibility--are part of a wave of the latest mobile inventions;…
Medical Students' Perceptions of Using Mobile Phones for Their English Study
ERIC Educational Resources Information Center
Iwata, Jun; Tamaki, Yuko; Shudong, Wang; Telloyan, John; Ajiki, Yuri; Clayton, John
2014-01-01
The authors conducted a needs analysis to investigate their medical students' needs and preferences for using mobile devices for their English study. The analysis showed the students' expectations of mobile learning were very high and two-thirds of them were interested in building medical English terminology through mobile learning. Then, the…
Teachers' Attitudes toward Mobile Learning in Korea
ERIC Educational Resources Information Center
Baek, Youngkyun; Zhang, Hui; Yun, Seongchul
2017-01-01
Mobile devices have become ubiquitous, and their uses are various. In schools, many discussions about mobile devices are ongoing as more and more teachers are adopting the technology for use in their classrooms. Teachers' attitudes toward mobile learning takes an important role in initiating its usage in schools. This study aims to investigate the…
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.
Integrating Machine Learning into a Crowdsourced Model for Earthquake-Induced Damage Assessment
NASA Technical Reports Server (NTRS)
Rebbapragada, Umaa; Oommen, Thomas
2011-01-01
On January 12th, 2010, a catastrophic 7.0M earthquake devastated the country of Haiti. In the aftermath of an earthquake, it is important to rapidly assess damaged areas in order to mobilize the appropriate resources. The Haiti damage assessment effort introduced a promising model that uses crowdsourcing to map damaged areas in freely available remotely-sensed data. This paper proposes the application of machine learning methods to improve this model. Specifically, we apply work on learning from multiple, imperfect experts to the assessment of volunteer reliability, and propose the use of image segmentation to automate the detection of damaged areas. We wrap both tasks in an active learning framework in order to shift volunteer effort from mapping a full catalog of images to the generation of high-quality training data. We hypothesize that the integration of machine learning into this model improves its reliability, maintains the speed of damage assessment, and allows the model to scale to higher data volumes.
NASA Astrophysics Data System (ADS)
Wang, Ruichen; Lu, Jingyang; Xu, Yiran; Shen, Dan; Chen, Genshe; Pham, Khanh; Blasch, Erik
2018-05-01
Due to the progressive expansion of public mobile networks and the dramatic growth of the number of wireless users in recent years, researchers are motivated to study the radio propagation in urban environments and develop reliable and fast path loss prediction models. During last decades, different types of propagation models are developed for urban scenario path loss predictions such as the Hata model and the COST 231 model. In this paper, the path loss prediction model is thoroughly investigated using machine learning approaches. Different non-linear feature selection methods are deployed and investigated to reduce the computational complexity. The simulation results are provided to demonstratethe validity of the machine learning based path loss prediction engine, which can correctly determine the signal propagation in a wireless urban setting.
Using Mobile Phones to Promote Lifelong Learning among Rural Women in Southern India
ERIC Educational Resources Information Center
Balasubramanian, K.; Thamizoli, P.; Umar, Abdurrahman; Kanwar, Asha
2010-01-01
This article is an attempt to study the role of mobile phones in the non-formal and informal context among rural women from resource poor communities. In particular, it focuses on the women's control over the mobile phone as a learning tool through the domestication of technologies. The distance learning, gender dimensions, and use of technologies…
ERIC Educational Resources Information Center
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…
ERIC Educational Resources Information Center
Song, Yanjie
2014-01-01
This study aims to investigate (1) methods utilized in mobile computer-supported collaborative learning (mCSCL) research which focuses on studying, learning and collaboration mediated by mobile devices; (2) whether these methods have examined mCSCL effectively; (3) when the methods are administered; and (4) what methodological issues exist in…
ERIC Educational Resources Information Center
Ma, Qing
2017-01-01
Emerging mobile technologies can be considered a new form of social and cultural artefact that mediates people's language learning. This multi-case study investigates how mobile technologies mediate a group of Hong Kong university students' L2 learning, which serves as a lens with which to capture the personalised, unique, contextual and…
ERIC Educational Resources Information Center
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed.
2014-01-01
These proceedings contain the papers of the 10th International Conference on Mobile Learning 2014, which was organised by the International Association for Development of the Information Society, in Madrid, Spain, February 28-March 2, 2014. The Mobile Learning 2014 International Conference seeks to provide a forum for the presentation and…
ERIC Educational Resources Information Center
Lally, Vic; Sharples, Mike; Tracy, Frances; Bertram, Neil; Masters, Sherriden
2012-01-01
In this article, we examine the ethical dimensions of researching the mobile, ubiquitous and immersive technology enhanced learning (MUITEL), with a particular focus on learning in informal settings. We begin with an analysis of the interactions between mobile, ubiquitous and immersive technologies and the wider context of the digital economy. In…
Place, Mobility, and Faculty Life: Mindfulness and Learning through Change
ERIC Educational Resources Information Center
Greenwood, David A.
2015-01-01
Academics move a lot. In this autoethnographic essay, I explore aspects of mobility, rootedness, mindfulness, and learning though my own story of leaving a place I loved for a new place I was drawn to, a place where I have begun the long and uncertain process of building new relationships of attachment. We lead mobile lives, even as we learn to…
ERIC Educational Resources Information Center
Li, Kam Cheong; Lee, Linda Yin-King; Wong, Suet-Lai; Yau, Ivy Sui-Yu; Wong, Billy Tak-Ming
2018-01-01
This study examined the effects of mobile apps on the learning motivation, social interaction and study performance of nursing students. A total of 20 students participated in focus group interviews to collect feedback on their use of mobile apps for learning and communicative activities. Two consecutive cohorts of students in a nursing programme,…
Post-Secondary Students Using the iPad to Learn English: An Impact Study
ERIC Educational Resources Information Center
Gitsaki, Christina; Robby, Matthew A.
2014-01-01
The use of mobile technology in language learning has increased considerably, with an unprecedented adoption of mobile tablets in K-12 and higher education settings. Despite the number of recent small-scale studies that have found increased student motivation and engagement in learning as a result of using mobile tablets, there is a need to…
ERIC Educational Resources Information Center
Gu, Jia
2016-01-01
This paper presents the findings from a multiple-case study which has investigated the impact of mobile Web 2.0 technologies on self-directed learning (SDL) of workplace learners by exploring participants' learning experiences with a mobile App. Drawing on existing literatures, we examined learners' SDL personal attributes and process in the…
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…
ERIC Educational Resources Information Center
Sad, Süleyman Nihat; Göktas, Özlem
2014-01-01
The purpose of this research was to investigate preservice teachers' perceptions about using m-phones and laptops in education as mobile learning tools. A total of 1087 preservice teachers participated in the study. The results indicated that preservice teachers perceived laptops potentially stronger than m-phones as m-learning tools. In…
NASA Astrophysics Data System (ADS)
Mardiana, Nana; Kuswanto, Heru
2017-08-01
The aims of the research concerned here were to reveal (1) the characteristics of Android-assisted PML (physics mobile learning) to improve SMA (sekolah menengah atas, Indonesian senior high school) students' divergent thinking skills and physics HOTS (higher order thinking skills); (2) the feasibility of the Android-assisted PML; and (3) the influence of using the Android-assisted PML on improvement in SMA students' divergent thinking skills and physics HOTS. The7 research was of the R&D (research and development) type, adapted from theBorg-&-Gall development model. The research data were analyzed by means of MANOVA with the significance level of 5%. The results are as follows. (1) The product of the development, a learning media in software form with the android package(apk) format, is named PML (to refer to Physics Mobile Learning), which has such characterictics as being operable with use of Android devicesand being very good in quality in the aspect oflearning, material, software technology, and audiovisual appearance. 2) The developed learning media referred to as PML is appropriate for learning activity according to evaluation by a material expert, a media expert, peer reviewers, and physics teachers as well as according to results of students' tryouts. (3) The use of the Android-assisted PML media product could improve SMA students' divergent thinking skillsand physics HOTS with the respective high-category gain scores of 0.701 and 0.759.
Rosenthal, M Zachary; Kutlu, Munir G
2014-09-01
Despite experimental findings and some treatment research supporting the use of cues as a means to induce and extinguish cravings, interventions using cue exposure have not been well integrated into contemporary substance abuse treatments. A primary problem with exposure-based interventions for addiction is that after learning not to use substances in the presence of addiction cues inside the clinic (i.e., extinction), stimuli in the naturalistic setting outside the clinic may continue to elicit craving, drug use, or other maladaptive conditioned responses. For exposure-based substance use interventions to be efficacious, new approaches are needed that can prevent relapse by directly generalizing learning from the therapeutic setting into naturalistic settings associated with a high risk for relapse. Basic research suggests that extinction reminders (ERs) can be paired with the context of learning new and more adaptive conditioned responses to substance abuse cues in exposure therapies for addiction. Using mobile phones and automated dialing and data collection software, ERs can be delivered in everyday high-risk settings to inhibit conditioned responses to substance-use-related stimuli. In this review, we describe how associative learning mechanisms (e.g., conditioned inhibition) can inform how ERs are conceptualized, learned, and implemented to prevent substance use when delivered via mobile phones. This approach, exposure with portable reminders of extinction, is introduced as an adjunctive intervention that uses brief automated ERs between clinic visits when individuals are in high-risk settings for drug use.
Meyer, Amanda J; Stomski, Norman J; Innes, Stanley I; Armson, Anthony J
2016-05-06
Ubiquitous smartphone ownership and reduced face-to-face teaching time may lead to students making greater use of mobile technologies in their learning. This is the first study to report on the prevalence of mobile gross anatomy software applications (apps) usage in pre-clinical chiropractic students and to ascertain if a relationship exists between preferred learning styles as determined by the validated VARK(©) questionnaire and use of mobile anatomy apps. The majority of the students who completed the VARK questionnaire were multimodal learners with kinesthetic and visual preferences. Sixty-seven percent (73/109) of students owned one or more mobile anatomy apps which were used by 57 students. Most of these students owned one to five apps and spent less than 30 minutes per week using them. Six of the top eight mobile anatomy apps owned and recommended by the students were developed by 3D4Medical. Visual learning preferences were not associated with time spent using mobile anatomy apps (OR = 0.40, 95% CI 0.12-1.40). Similarly, kinesthetic learning preferences (OR = 1.88, 95% CI 0.18-20.2), quadmodal preferences (OR = 0.71, 95% CI 0.06-9.25), or gender (OR = 1.51, 95% CI 0.48-4.81) did not affect the time students' spent using mobile anatomy apps. Learning preferences do not appear to influence students' time spent using mobile anatomy apps. Anat Sci Educ 9: 247-254. © 2015 American Association of Anatomists. © 2015 American Association of Anatomists.
2015-01-01
Objectives This study aimed to determine the effect of mobile-based discussion versus computer-based discussion on self-directed learning readiness, academic motivation, learner-interface interaction, and flow state. Methods This randomized controlled trial was conducted at one university. Eighty-six nursing students who were able to use a computer, had home Internet access, and used a mobile phone were recruited. Participants were randomly assigned to either the mobile phone app-based discussion group (n = 45) or a computer web-based discussion group (n = 41). The effect was measured at before and after an online discussion via self-reported surveys that addressed academic motivation, self-directed learning readiness, time distortion, learner-learner interaction, learner-interface interaction, and flow state. Results The change in extrinsic motivation on identified regulation in the academic motivation (p = 0.011) as well as independence and ability to use basic study (p = 0.047) and positive orientation to the future in self-directed learning readiness (p = 0.021) from pre-intervention to post-intervention was significantly more positive in the mobile phone app-based group compared to the computer web-based discussion group. Interaction between learner and interface (p = 0.002), having clear goals (p = 0.012), and giving and receiving unambiguous feedback (p = 0.049) in flow state was significantly higher in the mobile phone app-based discussion group than it was in the computer web-based discussion group at post-test. Conclusions The mobile phone might offer more valuable learning opportunities for discussion teaching and learning methods in terms of self-directed learning readiness, academic motivation, learner-interface interaction, and the flow state of the learning process compared to the computer. PMID:25995965
ERIC Educational Resources Information Center
Mauroux, Laetitia; Könings, Karen D.; Zufferey, Jessica Dehler; Gurtner, Jean-Luc
2014-01-01
While learning journals (LJs) have been shown to support self-regulated learning strategies, reflection and learning outcomes in academic contexts, few studies have investigated their relevance in vocational education. A mobile and online learning journal (MOLJ) was developed to support reflection on workplace experiences. However, acceptance of…
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…
ERIC Educational Resources Information Center
Schnepp, Jerry; Rogers, Christian
2017-01-01
Aim/Purpose: To examine the early perceptions (acceptability) and usability of EASEL (Education through Application-Supported Experiential Learning), a mobile platform that delivers reflection prompts and content before, during, and after an experiential learning activity. Background: Experiential learning is an active learning approach in which…
Risky Business or Sharing the Load?--Social Flow in Collaborative Mobile Learning
ERIC Educational Resources Information Center
Ryu, Hokyoung; Parsons, David
2012-01-01
Mobile learning has been built upon the premise that we can transform traditional classroom or computer-based learning activities into a more ubiquitous and connected form of learning. Tentative outcomes from this assertion have been witnessed in many collaborative learning activities, but few analytic observations on what triggers this…
Mobile computing initiatives within pharmacy education.
Cain, Jeff; Bird, Eleanora R; Jones, Mikael
2008-08-15
To identify mobile computing initiatives within pharmacy education, including how devices are obtained, supported, and utilized within the curriculum. An 18-item questionnaire was developed and delivered to academic affairs deans (or closest equivalent) of 98 colleges and schools of pharmacy. Fifty-four colleges and schools completed the questionnaire for a 55% completion rate. Thirteen of those schools have implemented mobile computing requirements for students. Twenty schools reported they were likely to formally consider implementing a mobile computing initiative within 5 years. Numerous models of mobile computing initiatives exist in terms of device obtainment, technical support, infrastructure, and utilization within the curriculum. Responders identified flexibility in teaching and learning as the most positive aspect of the initiatives and computer-aided distraction as the most negative, Numerous factors should be taken into consideration when deciding if and how a mobile computing requirement should be implemented.
Using Mobile Learning: Determinates Impacting Behavioral Intention
ERIC Educational Resources Information Center
Lowenthal, Jeffrey N.
2010-01-01
This study examined the factors or determinates that impact the behavioral intention of students to use mobile learning (m-learning) technology. These determinates include performance expectancy, effort expectancy, and self-management of learning, all mediated by age, gender, or both. Regression coefficients showed strong and significant…
Mobile-Assisted Second Language Learning: Developing a Learner-Centered Framework
ERIC Educational Resources Information Center
Leow, Choy Khim; Yahaya, Wan Ahmad Jaafar Wan; Samsudin, Zarina
2014-01-01
The Mobile Assisted Language Learning concept has offered infinite language learning opportunities since its inception 20 years ago. Second Language Acquisition however embraces a considerably different body of knowledge from first language learning. While technological advances have optimized the psycholinguistic environment for language…
Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task.
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.
Modelling human mobility patterns using photographic data shared online.
Barchiesi, Daniele; Preis, Tobias; Bishop, Steven; Moat, Helen Susannah
2015-08-01
Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.
Modelling human mobility patterns using photographic data shared online
Barchiesi, Daniele; Preis, Tobias; Bishop, Steven; Moat, Helen Susannah
2015-01-01
Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns. PMID:26361545
Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings
2010-01-01
Background 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. Methods 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. Results 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. Conclusions 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. PMID:20825677
An Empirical Study of Factors Driving the Adoption of Mobile Learning in Omani Higher Education
ERIC Educational Resources Information Center
Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela
2016-01-01
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
ERIC Educational Resources Information Center
Yang, Jie Chi; Lin, Yi Lung
2010-01-01
When using mobile devices in support of learning activities, students gain mobility, but problems arise when group members share information. The small size of the mobile device screen becomes problematic when it is being used by two or more students to share and exchange information. This problem affects interactions among group members. To…
ERIC Educational Resources Information Center
Sun, Daner; Looi, Chee-Kit; Wu, Longkai; Xie, Wenting
2016-01-01
With advancements made in mobile technology, increasing emphasis has been paid to how to leverage the affordances of mobile technology to improve science learning and instruction. This paper reports on a science curriculum supported by an inquiry-based framework and mobile technologies. It was developed by teachers and researchers in a multiyear…
Technical Feasibility of a Mobile Context-Aware (Social) Learning Schedule Framework
ERIC Educational Resources Information Center
Yau, Jane Y. K.; Joy, Mike
2013-01-01
The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be…