SW-Architecture for Device Independent Mobile Learning

2010 ◽  
pp. 72-93 ◽  
Author(s):  
Andreas Christ ◽  
Markus Feißt
Keyword(s):  
Learning Environment ◽  
Mobile Learning ◽  
Context Awareness ◽  
Design Patterns ◽  
Content Management ◽  
Independent Learning ◽  
Learning Material ◽  
Independent Manner ◽  
Learning Content ◽  
E Learning

Mobile learning increases both flexibility and self-determined learning, often combined with a high degree of context awareness. Flexibility and context awareness includes time and location, as well as the actual individual situation. To achieve such goals, mobile learning is not just a stand-alone and independent learning environment, but is instead embedded in a broader e-learning environment. This is true for the didactic and the pedagogic concepts and the learning (content) management system, as well as the overall software architecture. XML has been proven to be adequate and a powerful technology to store content in a presentation independent manner. By defining an additional attribute inside the XML tags, it is possible to classify the content. At the same time, this will help the author generate learning material for different devices in an efficient and structured way. Also, the content can be used in different formats (XHTML, PDF, etc.) as well as with different technologies (browser, applet, MIDlet, Ajax, etc.). In order to optimise the content presentation on different mobile devices, the content has to be adapted. A necessary precondition for the adaptation process is the identification of the connected device. The classification of the identified mobile device simplifies the mapping between device capabilities and content. The ICAT (Identification, Classification, Adaptation and Tagged XML) framework addresses these issues. The proposed design patterns will help authors to generated content for such a system.

scholarly journals CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content

2015 ◽  
Vol 5 (4) ◽  
pp. 47 ◽  
Author(s):  
Darya Tarasowa ◽  
Ali Khalili ◽  
Soeren Auer
Keyword(s):  
Data Model ◽  
Content Management ◽  
Learning Objects ◽  
Learning Material ◽  
Crowd Sourcing ◽  
Assessment Tests ◽  
Learning Content ◽  
E Learning ◽  
The Creation ◽  
Entity Relationship

While nowadays there is a plethora of Learning Content Management Systems, the collaborative, community-based creation of rich e-learning content is still not sufficiently well supported. Few attempts have been made to apply crowd-sourcing and wiki-approaches for the creation of e-learning content. However, the paradigm is only applied to unstructured, textual content and cannot be used in SCORM-compliant systems. To address this issue we developed the CrowdLearn concept to exploit the wisdom, creativity and productivity of the crowd for the creation of rich, deep-semantically structured e-learning content. The CrowdLearn concept combines the wiki style for collaborative content authoring with SCORM requirements for re-usability. Therefore, it enables splitting the learning material into Learning Objects (LOs) with an adjustable level of granularity. In order to realize the CrowdLearn concept, a novel data model called WikiApp is devised. The WikiApp data model is a refinement of the traditional entity-relationship data model with further emphasis on collaborative social activities and structured content authoring. We implement and evaluate the CrowdLearn approach with SlideWiki – an educational platform dealing with presentations and assessment tests. The article also comprises results of a usability evaluation with real students.

scholarly journals APLIKASI E-LEARNING MATA PELAJARAN AQIDAH AHLAK PADA MADRASAH TSANAWIYAH MUHAMMADIYAH ISIMU GORONTALO BERBASIS ANDROID

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Irfan Abbas
Keyword(s):  
Mobile Learning ◽  
Formal Education ◽  
Basic Education ◽  
Transition Period ◽  
Teaching Staff ◽  
Learning Material ◽  
School Students ◽  
Learning Content ◽  
Technological Developments ◽  
E Learning

ABSTRACTMadrasah Tsanawiyah (MTS) is a level of basic education in formal education in Indonesia which is held within 3 years. School students or madrasah students are generally 13-15 years old. Madrasah schools are a transition period from childhood to the world of adolescence. The period of MTS is a critical period for student education because at this time the transition from childhood. At present education is very much influenced by technological developments that provide a variety of conveniences so that it influences students' thinking, so schools must start working hard and pay attention to the education programs and methods used in transferring knowledge from teaching staff to students. The use of electronic circuits allows learning to be carried out in one place or in different places through distance learning. E-learning can be carried out anytime anywhere, but e-learning still has drawbacks, which requires users to deal with electronic equipment that is not flexible to move places. Mobile phones today are not only used as communication tools but can be used in finding information. One of the current operating systems that can access information very quickly and most in demand by the public today is Android. Android is an open source-based system that allows sources code (source code) on android to be read by development to customize various application features according to their usage needs. Mobile learning can be used as an alternative to solving problems in the field of education, especially the problem of equitable access to educational information, the quality of learning content in the form of learning material in the form of text or images accompanied by examples of teacher improvement questions to make or deliver learning materials and managing teaching andlearningactivities. Keywords: Madrasah Tsanawiyah (MTS), E-learning, Mobile learning, Android 

scholarly journals Focused Crawling for Educational Materials from the Web

2011 ◽  
pp. 105-108
Author(s):  
K.R. Premlatha ◽  
T.V. Geetha
Keyword(s):  
Management System ◽  
Content Management ◽  
Learning Material ◽  
Content Management System ◽  
Learning Context ◽  
Focused Crawling ◽  
Learning Content ◽  
Novel Approach ◽  
Learning Content Management ◽  
E Learning

An enormous amount of learning material is needed for the e-learning content management system to be effective. This has led to the difficulty of locating suitable learning materials for a particular learning topic, creating the need for automatic exploration of good content within the learning context. In this paper, we aim to tackle this need by proposing a novel approach to find out good materials from www for eLearning content management system. This work presents domain ontology concepts based query method for searching documents from web and proposes concept and term based ranking system for obtaining the ranked seed documents which is then used by a concept-focused crawling system. The set of crawled documents so obtained would be obtained an appropriate set of content material for building an e-learning content management system.

scholarly journals Creating an Advanced Web Based Environment using Semantic Web

2017 ◽  
pp. 38-44 ◽  
Author(s):  
Panchajanyeswari M Achar
Keyword(s):  
Learning Environment ◽  
Learning Objects ◽  
Learning Systems ◽  
Personalized Recommendation ◽  
Learning Material ◽  
Web Based ◽  
Learning Content ◽  
User Query ◽  
E Learning ◽  
Learner Profile

E-learning systems are of no help to the users if there are no powerful search engines and browsing tools to assist them. Most of the current web-based learning systems are closed systems where the courses and the learning material are fixed. The only thing that is dynamic is that the organization of the learning content is adapted to allow individualized learning environment. The learners of web-based e-learning systems belong to different categories based on their skills, background, preferences and learning styles. This paper focuses on personalized semantic search and recommending learning content that are appropriate to the learning environment. The semantic and personalized search of the learning content is based on comparison of the learner profile. The learner profile depends on re individual learning style of the user and learning objects’ metadata. This concept needs to be represented both in the learner profile as well as learning object description as certain data structures. Personalized recommendation of learning objects uses an approach to determine a more suitable relationship between learning objects and learning profiles. Thus, it may advise a learner with most suitable learning objects. Semantic learning objects search is based on the query expansion of the user query and by using the semantic similarity to retrieve semantic matched learning objects.

Automatic Organization and Generation of Presentation Slides for E-Learning

2012 ◽  
Vol 10 (3) ◽  
pp. 35-52 ◽  
Author(s):  
K. Sathiyamurthy ◽  
T. V. Geetha
Keyword(s):  
Distance Education ◽  
Language Processing ◽  
Learning System ◽  
Learning Material ◽  
Content Creation ◽  
Learning Content ◽  
E Learning ◽  
Processing Techniques ◽  
The Web ◽  
Extract Information

The effectiveness of an e-learning system for distance education to a large extent depends on the relevancy and presentation of learning content to the learner. The ability to gather documents on a particular topic from the web and adapt the contents of the document to suit the learner is an important task from the content creation perspective of e-learning. For the developer of e-learning material the provision to automatically extract, organize, and present content material would improve its effectiveness. This paper proposes to extract information from documents using language processing techniques and organizing the content into appropriate presentation slides for learning purposes using domain ontology and learning oriented pedagogy ontology.

Securing the Infrastructure for Service-Based E-Learning Environments

2011 ◽  
pp. 1-24
Author(s):  
Simon Schwingel ◽  
Gottfried Vossen ◽  
Peter Westerkamp
Keyword(s):  
Web Services ◽  
Learning Environment ◽  
Learning Environments ◽  
User Authentication ◽  
Learning Objects ◽  
Learning System ◽  
Learning Material ◽  
Single Sign On ◽  
User Data ◽  
E Learning

E-learning environments and their system functionalities resemble one another to a large extent. Recent standardization efforts in e-learning concentrate on the reuse of learning material only, but not on the reuse of application or system functionalities. The LearnServe system, under development at the University of Muenster, builds on the assumption that a typical learning system is a collection of activities or processes that interact with learners and suitably chosen content, the latter in the form of learning objects. This enables us to divide the main functionality of an e-learning system into a number of stand-alone applications or services. The realization of these applications based on the emerging technical paradigm of Web services then renders a wide reuse of functionality possible, thereby giving learners a higher flexibility of choosing content and functionalities to be included in their learning environment. In such a scenario, it must be possible to maintain user identity and data across service and server boundaries. This chapter presents an architecture for implementing user authentication and the manipulation of user data across several Web services. In particular, it demonstrates how to exploit the SPML and SAML standards so that cross-domain single sign-on can be offered to the users of a service-based learning environment. The chapter also discusses how this is being integrated into LearnServe.

A Methodology for Enhancing Mobile Learning Through Content Semantics

2013 ◽  
Vol 5 (1) ◽  
pp. 21-38
Author(s):  
Glaroudis Dimitrios ◽  
Manitsaris Athanasios ◽  
Kotini Isabella
Keyword(s):  
Mobile Learning ◽  
Web Sites ◽  
Mobile Users ◽  
Learning Material ◽  
Learning Tools ◽  
Learning Content ◽  
Increasing Demand ◽  
Web Experience ◽  
Educational Portal ◽  
Content Semantics

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 services for mobile users, renders essential the adaptation of educational material for these requirements. The objective of this work is to present and evaluate a methodology for producing content semantics from learning material. The proposed approach results in recommending links, which are relevant to the mobile users’ interests, by exploiting the recorded usage of an educational portal and the semantics of the learning content. The implementation results reveal enhanced capabilities in mobile learners’ web experience and usability.

Accessing Learning Content in a Mobile System

2007 ◽  
pp. 198-215 ◽  
Author(s):  
Anna Trifonova
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Learning System ◽  
Personal Digital Assistants ◽  
Learning Material ◽  
Mobile System ◽  
Learning Content ◽  
Clear Idea ◽  
Mobile Learning System

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their off-line periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.

Accessing Learning Content in a Mobile System

2009 ◽  
pp. 1367-1380 ◽  
Author(s):  
Anna Trifonova
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Learning System ◽  
Personal Digital Assistants ◽  
Learning Material ◽  
Mobile System ◽  
Learning Content ◽  
Clear Idea ◽  
Mobile Learning System

This chapter has the aim to point out an important functionality of a ubiquitous mobile system, and more specifically, its application in the learning domain. This functionality is the possibility to access the learning material from mobile devices, like PDAs (personal digital assistants) during their off-line periods and the technique to approach it, called hoarding. The chapter starts with the overview of a concrete mobile learning system—Mobile ELDIT, so as to give a clear idea of when and how this problem appears and why it is important to pay attention to it. Later, a description of the development approaches for both general and concrete solutions are discussed, followed by more detailed description of the important hoarding steps.

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