Paper detail

Novel Framework for Mobile Collaborative learning (MCL)to substantiate pedagogical activities

Latest study shows that MCL is highly focusing paradigm for research particularity in distance and online education. MCL provides some features and functionalities for all participants to obtain the knowledge. Deployment of new emerging technologies and fast growing trends toward MCL boom attract people to develop learning management system, virtual learning environment and conference system with support of MCL. All these environments lack the most promising supportive framework. In addition some of major challenges in open, large scale, dynamic and heterogeneous environments are not still handled in developing MCL for education and other organizations. These issues includes such as knowledge sharing, faster delivery of contents, request for modified contents, complete access to enterprise data warehouse, delivery of large rich multimedia contents (video-on-demand), asynchronous collaboration, synchronous collaboration, support for multi model, provision for archive updating, user friendly interface, middleware support and virtual support. To overcome these issues; the paper introduces novel framework for MCL consisting of four layers with many promising functional components, which provide access to users for obtaining required contents from enterprise data warehouse (EDW). Novel framework provides information regarding the course materials, easy access to check the grades and use of labs. The applications running on this framework give substantial feedback for collaboration such as exchange for delivery of communication contents including platform for group discussion, short message service (SMS), emails, audio, video and video-on-demand to obtain on-line information to students and other persons who will be part of collaboration.

preprint2012arXivOpen access

Signal facts

What is known right now

Open access3 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.