Design and Implementation of Multiplatform Mobile-Learning Environment as an Extension of SCORM 2004 Specifications

2012 ◽  
pp. 255-272
Author(s):  
Kiyoshi Nakabayashi
Keyword(s):  
Learning Environment ◽  
Mobile Phones ◽  
Personal Computers ◽  
Adaptive Function ◽  
Server Side ◽  
Learning Content ◽  
Offline Learning ◽  
Application Programming ◽  
Level Of Knowledge ◽  
Common Content

A learner-adaptive self-learning environment has been developed in which both mobile phones and personal computers can be used as client terminals. The learner-adaptive function has been implemented using SCORM 2004 specifications. The specifications were extended to enable offline learning using mobile phones. Because the application-programming environment of mobile phones varies from carrier to carrier, a common content format was specified for the learning content and content-execution mechanisms were developed for each carrier’s environment to maximize content-platform interoperability. The latest learning results achieved by using mobile phones were synchronized with the latest ones on the server-side sequencing engine so that the learner-adaptive function was available from personal computers as well. The system can provide adaptive courses such that the results of a pre-test taken on mobile phones can modify the lecture content on personal computers, fitting them to each learner’s level of knowledge and understanding. The functionality and usability of the system was evaluated through two trial experiments, the first of which involved adult learners and the second with small children and their parents.

Design and Implementation of Multiplatform Mobile-Learning Environment as an Extension of SCORM 2004 Specifications

2010 ◽  
pp. 164-181
Author(s):  
Kiyoshi Nakabayashi
Keyword(s):  
Learning Environment ◽  
Mobile Phones ◽  
Personal Computers ◽  
Adaptive Function ◽  
Server Side ◽  
Learning Content ◽  
Offline Learning ◽  
Application Programming ◽  
Level Of Knowledge ◽  
Common Content

A learner-adaptive self-learning environment has been developed in which both mobile phones and personal computers can be used as client terminals. The learner-adaptive function has been implemented using SCORM 2004 specifications. The specifications were extended to enable offline learning using mobile phones. Because the application-programming environment of mobile phones varies from carrier to carrier, a common content format was specified for the learning content and content-execution mechanisms were developed for each carrier’s environment to maximize content-platform interoperability. The latest learning results achieved by using mobile phones were synchronized with the latest ones on the server-side sequencing engine so that the learner-adaptive function was available from personal computers as well. The system can provide adaptive courses such that the results of a pre-test taken on mobile phones can modify the lecture content on personal computers, fitting them to each learner’s level of knowledge and understanding. The functionality and usability of the system was evaluated through two trial experiments, the first of which involved adult learners and the second with small children and their parents.

TELE-MONITORING SYSTEM OF RISK IN RESPIRATORY PATIENTS

2021 ◽  
pp. 2150041
Author(s):  
Awad Al-Zaben ◽  
Lina M.K. Al-Ebbini ◽  
Badr Qatashah
Keyword(s):  
Health Care ◽  
Signal Processing ◽  
Health Care Providers ◽  
Mobile Phones ◽  
Model Parameters ◽  
Care Providers ◽  
Server Side ◽  
Respiration Signal ◽  
At Home

In many situations, health care professionals need to evaluate the respiration rate (RR) for home patients. Moreover, when cases are more than health care providers’ capacity, it is important to follow up cases at home. In this paper, we present a complete system that enables healthcare providers to follow up with patients with respiratory-related diseases at home. The aim is to evaluate the use of a mobile phone’s accelerometer to capture respiration waveform from different patients using mobile phones. Whereas measurements are performed by patients themselves from home, and not by professional health care personnel, the signals captured by mobile phones are subjected to many unknowns. Therefore, the validity of the signals has to be evaluated first and before any processing. Proper signal processing algorithms can be used to prepare the captured waveform for RR computations. A validity check is considered at different stages using statistical measures and pathophysiological limitations. In this paper, a mobile application is developed to capture the accelerometer signals and send the data to a server at the health care facility. The server has a database of each patient’s signals considering patient privacy and security of information. All the validations and signal processing are performed on the server side. The patient’s condition can be followed up over a few days and an alarm system may be implemented at the server-side in case of respiration deterioration or when there is a risk of a patient’s need for hospitalization. The risk is determined based on respiration signal features extracted from the received respiration signal including RR, and Autoregressive (AR) moving average (ARMA) model parameters of the signal. Results showed that the presented method can be used at a larger scale enabling health care providers to monitor a large number of patients.

scholarly journals Knowledge, attitudes and intention regarding mHealth in generation Y: evidence from a population based cross sectional study in Chakaria, Bangladesh

BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e016217 ◽  
Author(s):  
M Shafiqur Rahman ◽  
Syed Hanifi ◽  
Fatema Khatun ◽  
Mohammad Iqbal ◽  
Sabrina Rasheed ◽  
...  
Keyword(s):  
Young People ◽  
Sex Education ◽  
Mobile Phones ◽  
Generation Y ◽  
Healthcare Providers ◽  
Age Groups ◽  
Household Survey ◽  
Population Based ◽  
Cross Sectional ◽  
Level Of Knowledge

Background and objectivesmHealth offers a new opportunity to ensure access to qualified healthcare providers. Therefore, to better understand its potential in Bangladesh, it is important to understand how young people use mobile phones for healthcare. Here we examine the knowledge, attitudes and intentions to use mHealth services among young population.DesignPopulation based cross sectional household survey.Setting and participantsA total of 4909 respondents, aged 18 years and above, under the Chakaria Health and Demographic Surveillance System (HDSS) area, were interviewed during the period November 2012 to April 2013.MethodsParticipants younger than 30 years of age were defined as young (or generation Y). To examine the level of knowledge about and intention towards mHealth services in generation Y compared with their older counterparts, the percentage of the respective outcome measure from a 2×2 contingency table and adjusted odds ratio (aOR), which controls for potential confounders such as mobile ownership, sex, education, occupation and socioeconomic status, were estimated. The aOR was estimated using both the Cochran–Mantel–Haenszel approach and multivariable logistic regression models controlling for confounders.ResultsGeneration Y had significantly greater access to mobile phones (50%vs40%) and better knowledge about its use for healthcare (37.8%vs27.5%;aOR 1.6 (95% CI1.3 to 2.0)). Furthermore, the level of knowledge about two existing mHealth services in generation Y was significantly higher compared with their older counterparts, with aOR values of 3.2 (95% CI 2.6 to 5.5) and 1.5 (95% CI 1.1 to 1.8), respectively. Similarly, generation Y showed significantly greater intention towards future use of mHealth services compared with their older counterparts (aOR 1.3 (95% CI 1.1 to 1.4)). The observed associations were not modified by sociodemographic factors.ConclusionThere is a greater potential for mHealth services in the future among young people compared with older age groups. However, given the low overall use of mHealth, appropriate policy measures need to be formulated to enhance availability, access, utilisation and effectiveness of mHealth services.

scholarly journals The swarm intelligence algorithms and their application for the educational data analysis

2019 ◽  
Vol 23 (5) ◽  
pp. 33-43
Author(s):  
Y. Yu. Dyulicheva
Keyword(s):  
Data Analysis ◽  
Swarm Intelligence ◽  
Learning Objects ◽  
Ant Algorithm ◽  
First Year ◽  
Optimal Learning ◽  
First Year Students ◽  
Learning Content ◽  
Learning Path ◽  
Level Of Knowledge

The purpose of the paper is the investigation of the modern approaches and prospects for the application of swarm intelligence algorithms for educational data analysis, as well as the possibility of using of ant algorithm modifications for organizing educational content in adaptive systems for conducting project seminars.Materials and methods. The review of the modern articles on the educational data analysis based on swarm intelligence algorithms is provided; the approaches to solving problem of the optimal learning path construction (optimal organization of the learning objects) based on the algorithm and its modifications taking into account the students’ performance in the process of the optimal learning path construction are investigated; the application of particle swarm optimization and its modification based on Roccio algorithm for the reduction of curse dimension in the problem of the auto classifying questions; the application of ant algorithm, bee colony algorithm and bat algorithm for recommender system construction are studied; the prediction of students’ performance based on particle swarm optimization is researched in the article. The modification of ant algorithm for optimal organization of learning objects at projects seminars is proposed.Results. The modern approaches based on swarm intelligence algorithms to problem solving in educational data analysis are investigated. The various approaches to pheromones updating (their evaporation) when building the optimal learning path based on students’ performance data and search of group with “similar" students are studied; the abilities of the hybrid swarm intelligence algorithms for recommendation construction are investigated.Based on the modification of ant algorithm, the approach to the learning content organization at project seminars with individual preferences and students’ level of basic knowledge is proposed. The python classes are developed: the class for statistical data processing; the classfor modifica -tion of ant algorithm, taking into account the current level of knowledge and interest of student in studying a specific topic at the project seminar; the class for optimal sequence of the project seminars ’ topics for students. The developed classes allow creating the adaptive system that helps first year students with a choice of topics of project seminars.Conclusion. According to the results of the study, we can conclude about the effectiveness of swarm intelligence algorithms usage to solve a wide range of tasks connected with learning content and students’ data analysis in the e-learning systems and perspectives to hybrid approaches development based on swarm intelligence algorithms for realizing the adaptive learning systems on the paradigm of “demand learning".The results can be used to automate the organization of learning content during project seminars for the first-year students, when it is important to understand the basic level of knowledge and students’ interest in learning new technologies.

Augmented Reality Based on Mobile Phones

2014 ◽  
Vol 926-930 ◽  
pp. 1882-1885
Author(s):  
Lin Tao Li
Keyword(s):  
Augmented Reality ◽  
Learning Environment ◽  
Human Computer Interaction ◽  
Mobile Phone ◽  
Mobile Learning ◽  
Mobile Phones ◽  
Actual Condition ◽  
Main Function ◽  
Key Technology ◽  
Augmented Reality Application

Augmented reality can create a learning environment to learners, combining the actual condition of let them around to see the real environment at the same time, also can see a computer, virtual information generated by mobile phones as the implementation of the augmented reality application platform, due to the mobility, portability, and human-computer interaction and so on, has strong advantage, and therefore more mobile learning application prospect, this paper discusses the structure of augmented reality based on mobile phone key technology and main function features, on the basis of to augmented reality based on mobile phone and its application in mobile learning has a deeper understanding.

Toward a Personal Learning Environment Framework

2012 ◽  
pp. 20-40 ◽  
Author(s):  
Mohamed Amine Chatti ◽  
Mohammad Ridwan Agustiawan ◽  
Matthias Jarke ◽  
Marcus Specht
Keyword(s):  
Learning Environment ◽  
Digital Media ◽  
Knowledge Society ◽  
Technology Enhanced Learning ◽  
Personal Learning ◽  
Effective Learning ◽  
Personal Learning Environment ◽  
Learning Content ◽  
Enhanced Learning ◽  
Fundamental Shift

Over the past decade, it has been argued that technology-enhanced learning (TEL) could respond to the needs of the new knowledge society and transform learning. However, despite isolated achievements, TEL has not succeeded in revolutionizing education and learning processes. Most current TEL initiatives still take a centralized technology-push approach in which learning content is pushed to a predefined group of learners in closed environments. A fundamental shift toward a more open and learner-pull model for learning is needed. Recently, the Personal Learning Environment (PLE) concept has emerged to open new doors for more effective learning and overcome many of the limitations of traditional TEL models. In this paper, the authors present theoretical, design, implementation, and evaluation details of PLEF, a framework for mashup personal learning environments. The primary aim of PLEF is to help learners create custom learning mashups using a wide variety of digital media and data.

Mobile and Electronic Commerce Systems and Technologies

2009 ◽  
pp. 1204-1225
Author(s):  
Wen-Chen Hu ◽  
Chyuan-Huei Thomas Yang ◽  
Jyh-haw Yeh ◽  
Weihong Hu
Keyword(s):  
Electronic Commerce ◽  
Mobile Networks ◽  
Research Subject ◽  
Server Side ◽  
Wired Networks ◽  
Mobile Middleware ◽  
Arduous Task ◽  
Application Programming ◽  
The Subject ◽  
Client Side

The emergence of wireless and mobile networks has made possible the introduction of electronic commerce to a new application and research subject: mobile commerce. Understanding or constructing a mobile or an electronic commerce system is an arduous task because the system involves a wide variety of disciplines and technologies and the technologies are constantly changing. To facilitate understanding and constructing such a system, this article divides the system into six components: (i) applications, (ii) client computers or devices, (iii) mobile middleware, (iv) wireless networks, (v) wired networks, and (vi) host computers. Elements in these components specifi- cally related to the subject are described in detail and lists of current technologies for component construction are discussed. Another important and complicated issue related to the subject is the mobile or electronic commerce application programming. It includes two types of programming: client-side and server-side programming, which will be introduced too.

The DEKOR System

2011 ◽  
pp. 164-186 ◽  
Author(s):  
Christian Gütl ◽  
Victor Manuel García-Barrios
Keyword(s):  
Learning Environment ◽  
Learning Styles ◽  
Educational Systems ◽  
Learning Material ◽  
Learner Characteristics ◽  
Web Based ◽  
Learning Content ◽  
Support Students

Due to the wide diversity of learning styles and learner characteristics, delivering learning material from modern ICT-based learning must also be conducted in a diverse manner rather than with a “one-fitsall” approach. By focusing on content aspects, the majority of adaptive Web-based educational systems are only able to deal with closed repositories and therefore only pre-defined content alternatives for limited learner characteristics are manageable. One possible solution is to enable and technologically support students’ freedom to select appropriate learning content of their own choice. The WWW as an extensive repository of diverse content has gained considerable interest as an open-ended learning environment, but most students cannot cope well with such open accessibility. To overcome this, the authors have started research towards a system of personalized access to open repositories. In this book chapter, they introduce the evolution of their linked approaches and discuss the findings in the context of learner characteristics.

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