Collaborative learning assistant for android

1. Collaborative Learning Assistant for Android
ABSTRACT:
The quantitative and qualitative increase in mobile devices that reach the average
user opens more and more topics for research. In education, m-Learning has been
an interesting topic for several years. However, the smartphones, that today display
an unprecedented mix of computing capability, connectivity and interactivity,
leverage new possibilities for m-Learning applications. Such applications can
seamlessly connect remote individuals, but can also provide access to various
resources, such as media, or interactive quizzes. We focus on collaborative
learning and peer-review learning, two closely related concepts, promoting
methods such as sharing educational resources, organizing study sessions and
giving feedback to fellow students. We propose a client-server system to provide
all these features and we study it under performance considerations such as
scalability and mobility.
EXISTING SYSTEM:
So far, there have been a few notable trials of language learning applications for
mobile phones, dating as far back as 2001 (e.g. Stanford Learning Lab pilots).
Chinnery provides a review of several mobile language learning developments
since then, and while there have been some interesting uses of PDAs and iPods for
language learning (e.g. the focus has generally been on delivering simple features

2. such as vocabulary learning and quiz drills in text format. However, if the goal is
to further exploit the use of multimedia capability for more complex learning
applications, there needs to be a more focused effort in developing design
guidelines for these applications.
DISADVANTAGES OF EXISTING SYSTEM:
The Smartphone, that today display an unprecedented mix of computing capability,
connectivity and interactivity, leverage new possibilities for m-Learning
applications. Such applications can seamlessly connect remote individuals, but can
also provide access to various resources, such as media, or interactive quizzes.
PROPOSED SYSTEM:
Advances in mobile computing have led to the development of a whole range of
applications for providing education in a very diverse range of fields, from in situ
education in school children with augmented reality, to museum guides, to
developing bird watching skills. It has been argued that new mobile technologies
allow for learning programmes to be developed that (by comparison to traditional
learning) are more personalised, learner-centered, situated, collaborative,
ubiquitous and lifelong. An additional advantage often overlooked (particularly for
mobile phones) is that there is a natural affordance for phones to speak into and
listen from (i.e. audio interaction). In this way, applications that involve speaking

3. and listening may actually be better suited to mobile phones than the PC
environment
ADVANTAGES OF PROPOSED SYSTEM:
The system aims to offer means for:
• Collaborative learning.
• Organizing resources and activities.
• Peer-reviewed learning.
• Auto evaluation.
• Sharing educational resources from any location.
MODULES:
1) Participants Module
2) Course Module
3) Test Module
4) Result Module

4. 5) Analysis Module
MODULES DESCRIPTION:
1) Participants Module
In this module, user authentication is done according to the role based access
control. A new user has to register for access the content of our system. Registered
user logins with the registered username and password.
2) Course Module
The new user/student will take up the course material module first. Before that the
user/student should select the course which he/she is going to take up. Example:
Java or dot net or etc. After that the course contents are displayed and user should
read the contents available. Then the user can navigate to the pages.
3) Test Module
After the Course material module, the user/student will be taking up the
examination module. In the examination module, the user/student will be allocated
some question and time for it.

5. 4) Result Module
In the Result module, the user or participants results are displayed and the results
are being analyzed. So that the participants status can be clearly known.
5) Analysis Module
In this module graph based analysis is done for the results generated by
the users. The analysis module shows how the application is useful and
the advantages of the proposed system clearly.
SYSTEM MODELS
HARDWARE REQUIREMENT
CPU type : Intel Pentium 4
Clock speed : 3.0 GHz
Ram size : 512 MB
Hard disk capacity : 40 GB
Monitor type : 15 Inch color monitor
Keyboard type : internet keyboard
Mobile : ANDROID MOBILE

6. SOFTWARE REQUIREMENT
Operating System: Android
Language : ANDROID SDK 2.3
Documentation : Ms-Office
REFERENCE:
Virgil Zamfirache, Alexandru-Corneliu Olteanu and Nicolae Tapus, “Collaborative
Learning Assistant for Android”, IEEE CONFERENCE 2013.