A Bandwidth Saving Mobile Application for e-Learning

2015 ◽  
pp. 113-123
Author(s):  
Jeff K. T. Tang ◽  
Chor-Yi Leung ◽  
Yuen-Kwan Chan ◽  
Chun-Kit Lam
Keyword(s):  
Mobile Application ◽  
E Learning

scholarly journals Prototype User Interface Mobile App E-Learning

2021 ◽  
Vol 7 (1) ◽  
pp. 61-70
Author(s):  
Henderi Henderi ◽  
Praditya Aliftiar ◽  
Alwan Hibatullah
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Mobile Application ◽  
Mobile App ◽  
User Needs ◽  
High Fidelity ◽  
Application Development ◽  
E Learning ◽  
Prototype Design ◽  
People Today

Information technology has developed rapidly from time to time. One of the technologies commonly owned by many people today is smartphones with the Android and IOS platforms. By knowing this factor, mobile developers compete with each other to design applications with attractive user interfaces so that users are interested in using them. At this stage in mobile application development, starting from designing a user interface prototype. This stage aims to visualize user needs, improve user experience and simplify the coding process by programmers. In this study, researchers applied the prototype method. This research produces a prototype design for the e-learning application user interface which consists of a high fidelity prototype.

scholarly journals The Impact of WhatsApp on Learners’ Achievement: A Case Study of English Language Majors at King Khalid University

2018 ◽  
Vol 6 (2) ◽  
pp. 69 ◽  
Author(s):  
Abdulkhaleq Q. A. Hassan ◽  
Sayed Salahuddin Ahmed
Keyword(s):  
Content Knowledge ◽  
Mobile Application ◽  
English Language ◽  
Traditional Classroom ◽  
Control Group ◽  
E Learning ◽  
Additional Support ◽  
The Impact ◽  
Experimental Group

To investigate the effectiveness of e-learning by using a particular mobile application, namely WhatsApp, an empirical study was conducted on sixty undergraduate English language majors at King Khalid University in Saudi Arabia. The objective of the study was to determine whether the levels of motivation, content knowledge and grades of the students (who took the course “Syntax”)-, developed after receiving additional support through WhatsApp apart from traditional classroom lectures. The results showed that the experimental group that got extra support from fellow students and the course teachers through WhatsApp outperformed the students of the control group who studied the course only through traditional method. Moreover, the gap of success rate between the experimental group and the control group is about eighty nine percent with zero failure in the experimental group. The study proved that WhatsApp can be effectively used for providing supplementary support to motivate students to study properly and to get higher grades.

Learn Baybáyin: An e-Learning Mobile Application Using a Convolutional Neural Network

2019 ◽  
Vol 11 (10-SPECIAL ISSUE) ◽  
pp. 1127-1135
Author(s):  
James Arnold Nogra ◽  
Cherry Lyn Sta Romana ◽  
Elmer Maravillas
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Mobile Application ◽  
E Learning

Mobile Learning Services on Cloud

2015 ◽  
pp. 230-255
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Mobile Application ◽  
Management System ◽  
Mobile Cloud Computing ◽  
Learning Management System ◽  
Learning System ◽  
Mobile Cloud ◽  
E Learning ◽  
Learning Management

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.

scholarly journals Children’s Online Handwriting Quality Analysis.

2021 ◽  
Author(s):  
Hanen Akouaydi ◽  
Yahia Hamdi ◽  
Houcine Boubaker ◽  
Mourad Zaied ◽  
Faouzi Alaya Cheikh ◽  
...  
Keyword(s):  
Mobile Application ◽  
Writing Skills ◽  
Quality Analysis ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Cursive Handwriting ◽  
Analysis Process ◽  
Children's Writing ◽  
E Learning ◽  
Online Handwriting

<div>An innovative e-learning project is presented in this paper, which is a mobile workbook that teaches handwriting at school. This mobile application proposes a new qualitative and quantitative analysis process of online cursive handwriting. It gives a real-time feedback, detects mistakes and helps teachers evaluate children’s writing skills. The main aim of this notebook is to aid kids learn how to write correctly. We analyze handwriting according to major criteria like shape, kinematics of the trace, position respect to the reference lines,</div><div>stroke order and direction.</div>

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