Efficient use of Mobile Apps for Students
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2016, Vol 7, Issue 8
Abstract
Students now a days are dependent on their smart phones for text, email, social media or calling throughout their day. Over fast few years, Mobile learning termed to be M-Learning has the ability to use mobile technology to support teaching, learning and education on mobile phones or tablets. M-learning is enhanced by E-learning allowing students to learn virtually anywhere a mobile signal is available. Students can communicate and interact with peer students, instructors, and experts without meeting faceto- face, away from the classroom or workplace. These Wireless and mobile technologies enable learning opportunities to learners who do not have direct access to learning in these places. App learning has no time-bounds, it’s a relaxed learning. Books are found to be boring for children now a days, which can be replaced with educational apps having colorful pages and moving animations make learning fun to the core. Mobile apps have the provision of course content to off-campus students, providing feedback to offcampus students, also has provision of student support services ,Student-to-student interactivity and Student to tutor and institution interactivity. Apps have different benefits such as Multimedia content delivery and creation options, decrease in training costs, potentially a more rewarding learning experience and are relatively inexpensive than PCs and laptops. This paper has a sample demo of a mobile app which helps students to connect to the tutor who is an expert and will be able to provide solution in 10 minutes. The app works with core subjects which students feel uneasy and arise many queries. The user must take a snapshot of the problem through app and post it to the chat. The student is connected to the App with registered tutor and receives the solution. Student also has an option to ask the connected tutor to explain the solution. At the end of the session student will be given an option to rate the tutor according to the performance. For every solution provided by the tutor, credits ranging from 5-10 will be deducted from student’s account. Student can earn these credits by inviting friends which helps students who cannot afford too much money. Tutors will be able to use the app, so that he need not go to the institute to communicate with students online. The app is suitable for those students who are stuck with problems related to their academics.
Authors and Affiliations
Shobha Rani B R , Bhanu Prakash
Keywords
Related Articles
- EP ID EP138945
- DOI -
- Views 117
- Downloads 0
Performance Evolution and Modeling of Vapor Absorption System Using Flat Plate Collector
This paper presents to evaluate the characteristics and performance of vapour absorption refrigeration system using single stage lithium bromide – water (LiBr – H2O) as absorbent and refrigerant. The all parameters of re...
Survey on Traffic Redundancy and Elimination Approach for Reducing Cloud Bandwidth and Costs
Cloud computing is a fast growing field which is arguably a new computing paradigm. In cloud computing, computing resources are provided as services over the internet and users can access resources on based on their paym...
Keystone Error Correction Method in Camera-Projector System to Correct the Projected Image on planar surface and tilted projector
Projector camera systems are basically systems that can serve as improvement to projector based applications by addition of visual feedback to the projector. However, unless the projector is precisely aligned to the pres...
A Novel Method to Extract Comparison of Products Using Comparative Questions
Comparing one thing with another is a typical part of human decision making process, especially during an online purchase scheme. To assist decision making it is useful to compare entities that share common utility but h...
System for Devices mobile based in recognition facial
In this paper is documents the development of the work of a security system for mobile devices based on Facial recognition. This recognition is based on the algorithm of Wu and SUSAN, it was obtained for 80% efficiency a...