Posts
Have a look at the Table of Contents.
Review the Table of Contents here and then visit the website to review articles and items of interest.
iJIM is an Open Access Journal. Readers don't have to pay any fee. Only registration is necessary.
Register
Table of Contents
Papers
Using Mobile Technologies for Enhancing Student Academic Experience: University of Jordan Case Study By Mohamd Hassan Hassan, Fuad Alhosban and Mou'ath Hourani
Abstract
This paper presents an approach to enhance students’ engagement with their university, as well as assisting them in understanding their current academic state by using mobile technologies. This approach simplifies the presentation, awareness of university rules and regulation in regards to graduation requirements, in credit hour system, through the development of a friendly mobile environment called UniApp.
A test case is presented of an interactive mobile learning (m-learning)
environment in higher education institutions that adhere to university
rules and regulations. Normally, students login frequently to their
university account in order to use some of the provided facilities, such
as marks and registered modules. However, students need to be aware of
what they are studying and what learning outcome they need to achieve.
They also need to be aware of how this can benefit them in completing
their major, as well as having an enjoyable learning experience.
Effective and Efficient Video Summarization Approach for Mobile Devices
By Hesham Farouk, Kamal ElDahshan and Amr Abd Elawed Abozeid
Abstract
in the context of mobile computing and multimedia processing, video summarization plays an important role for video browsing, streaming, indexing and storing. In this paper, an effective and efficient video summarization approach for mobile devices is proposed. The goal of this approach is to generate a video summary (static and dynamic) based on Visual Attention Model (VAM) and new Fast Directional Motion Intensity Estimation (FDMIE) algorithm for mobile devices. The VAM is based on how to simulate the Human Vision System (HVS) to extract the salient areas that have more attention values from video contents. The evaluation results demonstrate that, the effectiveness rate up to 87% with respect to the manually generated summary and the state of the art approaches. Moreover, the efficiency of the proposed approach makes it suitable for online and mobile applications.
M-Learning: A New Paradigm of Learning ICT in Nigeria
By Solomon Sunday Oyelere, Jarkko Suhonen and Erkki Sutinen
Abstract
Abstract—Mobile learning (m-learning) is the study and practice of using mobile devices, such as smart phones, mobile phones, tablets, PDAs, MP3s and pocket PCs in order to support learning for anyone, anytime and anywhere. M-learning has become paramount for developing countries such as Nigeria, as many of these countries have the required infrastructure and a rapidly increasing amount of mobile device users. In addition, the mobile devices are able to support a variety of learning activities and students are also ready to use the devices for learning. In this article, we have enumerated the possibilities and challenges of implementing m-learning in developing countries, specifically in Nigeria, and identified potential m-learning solutions to support learning of ICT in Nigeria. We administrated a questionnaire in order to find out primary school students readiness in Nigeria to adopt m-learning, their preferences to use specific features of m-learning devices in learning situations, as well as their opinions regarding the suitability of m-learning for ICT-related subjects. We also propose a cloud-based m-learning model for learning ICT topics in Nigeria.
System Design of Mobile Augmented Book
By Kobkiat Saraubon, Prachyanun Nilsook and Panita Wannapiroon
Abstract
Mobile technologies play an increasingly important role in education. Devices such as smart phones and tablets are becoming powerful tools in the hands for e-Learning, m-Learning and ubiquitous learning. In this paper, the authors propose analysis and design software architecture of a mobile augmented book for in-class and out-class learning. The aim is to improve the quality and usefulness of mobile learning by utilizing a physical book and a mobile device. Requirements, roles, and system architecture are discussed in terms of adaptive learning. The system architecture is based on a three-tier model; presentation tier, application logic tier and data tier. The application logic tier is comprised of four main components including 1) Profile/Registration, 2) Content/ Administration, 3) Communication 4) Quiz and 5) Report. The data tier consists of 1) Cloud Service, 2) Media Server and 3) Database. The presentation tier is designed to support all mobile devices--smart phones and tablets and all popular platforms including Android, iOS, Windows phone, Tizen, Ubuntu, Firefox and BlackBerry. JSON and Streaming media are used for the communications between the presentation tier (client devices) and the application logic tier. The data tier consists of 1) repository using cloud service and media server for storing and retrieving digital contents and 2) database for credentials, content descriptions and meta-data.
Enjoy your reading!
Source: International Journal of Interactive Mobile Technologies
Effective and Efficient Video Summarization Approach for Mobile Devices
By Hesham Farouk, Kamal ElDahshan and Amr Abd Elawed Abozeid
Abstract
in the context of mobile computing and multimedia processing, video summarization plays an important role for video browsing, streaming, indexing and storing. In this paper, an effective and efficient video summarization approach for mobile devices is proposed. The goal of this approach is to generate a video summary (static and dynamic) based on Visual Attention Model (VAM) and new Fast Directional Motion Intensity Estimation (FDMIE) algorithm for mobile devices. The VAM is based on how to simulate the Human Vision System (HVS) to extract the salient areas that have more attention values from video contents. The evaluation results demonstrate that, the effectiveness rate up to 87% with respect to the manually generated summary and the state of the art approaches. Moreover, the efficiency of the proposed approach makes it suitable for online and mobile applications.
M-Learning: A New Paradigm of Learning ICT in Nigeria
By Solomon Sunday Oyelere, Jarkko Suhonen and Erkki Sutinen
Abstract
Abstract—Mobile learning (m-learning) is the study and practice of using mobile devices, such as smart phones, mobile phones, tablets, PDAs, MP3s and pocket PCs in order to support learning for anyone, anytime and anywhere. M-learning has become paramount for developing countries such as Nigeria, as many of these countries have the required infrastructure and a rapidly increasing amount of mobile device users. In addition, the mobile devices are able to support a variety of learning activities and students are also ready to use the devices for learning. In this article, we have enumerated the possibilities and challenges of implementing m-learning in developing countries, specifically in Nigeria, and identified potential m-learning solutions to support learning of ICT in Nigeria. We administrated a questionnaire in order to find out primary school students readiness in Nigeria to adopt m-learning, their preferences to use specific features of m-learning devices in learning situations, as well as their opinions regarding the suitability of m-learning for ICT-related subjects. We also propose a cloud-based m-learning model for learning ICT topics in Nigeria.
System Design of Mobile Augmented Book
By Kobkiat Saraubon, Prachyanun Nilsook and Panita Wannapiroon
Abstract
Mobile technologies play an increasingly important role in education. Devices such as smart phones and tablets are becoming powerful tools in the hands for e-Learning, m-Learning and ubiquitous learning. In this paper, the authors propose analysis and design software architecture of a mobile augmented book for in-class and out-class learning. The aim is to improve the quality and usefulness of mobile learning by utilizing a physical book and a mobile device. Requirements, roles, and system architecture are discussed in terms of adaptive learning. The system architecture is based on a three-tier model; presentation tier, application logic tier and data tier. The application logic tier is comprised of four main components including 1) Profile/Registration, 2) Content/ Administration, 3) Communication 4) Quiz and 5) Report. The data tier consists of 1) Cloud Service, 2) Media Server and 3) Database. The presentation tier is designed to support all mobile devices--smart phones and tablets and all popular platforms including Android, iOS, Windows phone, Tizen, Ubuntu, Firefox and BlackBerry. JSON and Streaming media are used for the communications between the presentation tier (client devices) and the application logic tier. The data tier consists of 1) repository using cloud service and media server for storing and retrieving digital contents and 2) database for credentials, content descriptions and meta-data.
Enjoy your reading!
Source: International Journal of Interactive Mobile Technologies
