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 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.

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.

Using Intelligent Learning Objects in Adaptive Educational Portals

2011 ◽  
pp. 1074-1078 ◽  
Author(s):  
Ricardo Azambuja Silveira ◽  
Eduardo Rodrigues Gomes
Keyword(s):  
Learning Environments ◽  
Real Life ◽  
Learning Objects ◽  
Learning Object ◽  
Pedagogical Agents ◽  
Learning Material ◽  
Educational Content ◽  
Learning Content ◽  
E Learning

The learning object (LO) approach is based on the premise that the reuse of learning material is very important to designing learning environments for real-life learning. According to Downes. (2001), Mohan and Brooks (2003), and Sosteric and Hesemeier (2002), a learning object is an entity of learning content that can be used several times in different courses or in different situations. One of the benefits of the reusability is that it significantly reduces the time and cost required to develop e-learning courses. For Friesen (2001), reusability is given as a result of three features: interoperability, discoverability, and modularity. The interoperability is the capability of working in different environments. The discoverability is the capability of being discovered based on the educational content. The modularity is the capability of having learning material that can be, at the same time, big enough to be coherent and unitary and small enough to be reused. These features would be very useful if added to pedagogical agents (PA) (Johnson & Shaw, 1997).

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.

Using Open Source to Building and Accessing Learning Objects and Online Courses

2011 ◽  
pp. 266-297
Author(s):  
Christos Bouras ◽  
Maria Nani
Keyword(s):  
Open Source ◽  
Information And Communication Technologies ◽  
Online Courses ◽  
Learning Objects ◽  
Learning Technology ◽  
Learning Content ◽  
Technology Products ◽  
Web Standards ◽  
Information And Communication ◽  
E Learning

As e-learning continuously gains the interest of the scientific community, industry, and government, a wide variety of learning technology products have been incorporated into the marketplace. Advances in information and communication technologies are in favor of the incorporation of innovative services and functionalities in such systems, though content creation and delivery remain the two key factors in any e-learning system. Therefore, in this chapter, we present the design and implementation of a tool targeted at building and accessing learning objects and online courses through the Web. This tool aims to facilitate instructors and trainers to easily develop accessible, reusable, and traceable learning content that can meet their distant students’ needs for anytime and anyplace learning. Learners are able to access learning content, in addition to consulting, at any time, reports on their interactions within a course and get support by subject experts. Furthermore, all users can request to upgrade their role in the system and, thus, actively participate in the learning process. Special attention has been paid on the utilization of reliable and qualitative open source technologies and Web standards so that the proposed solution can form an easily accessible system.

scholarly journals Challenges of Transitioning to e-learning System with Learning Objects Capabilities

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Miroslava Raspopovic ◽  
Svetlana Cvetanovic ◽  
Aleksandar Jankulovic
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Information Systems ◽  
Open Source ◽  
Learning Objects ◽  
Learning System ◽  
Learning Content ◽  
Technological Advances ◽  
E Learning ◽  
Transitional Challenges

<p>In order for higher education institutions, which implements blended and/or online learning to remain competitive and innovative it needs to keep up with the cutting edge technological and educational advances. This task is usually very difficult, keeping in mind the budget constraints that many institutions have. This usually implies that existing open source solutions have to be used and adapted to individual needs of each institution. Keeping up with the current technological advances often brings not only financial challenges, but also transitional challenges that may put at risk learning quality and reputation of the institution, as well as performance of students. This work describes the features of the system, results and challenges of transitioning to e-learning system that displays learning materials through sequence of reusable learning objects (LOs) from the system that does not have these capabilities. The goal of such system is to increase reusability of learning content, and moreover, to increase online interactivity and communication between the instructor and students. Findings of this work reveal advantages, disadvantages and potential obstacle of implementation e-learning system with LOs and give an overview of suggestions for implementation improvements. These suggestions are given based on evaluation of implementation of new e-learning system with LOs, after the transition from the traditional e-learning system. Furthermore, based on the research of existing methodologies in the field of information systems, and the results of this research, this work proposes methodology for transferring into e-learning system with LOs. </p>

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