Study of Gamification Effectiveness in Online e-Learning Systems
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 2
Abstract
Online distance e-learning systems allow introducing innovative methods in pedagogy, along with studying their effectiveness. Assessing the system effectiveness is based on analyzing the log files to track the studying time, the number of connections, and earned game bonus points. This study is based on an example of the online application for practical foreign language speaking skills training between random users, which select the role of a teacher or a student on their own. The main features of the developed system include pre-defined synchronized teaching and learning materials displayed for both participants, along with user motivation by means of gamification. The actual percentage of successful connects between specifically unmotivated and unfamiliar with each other users was measured. The obtained result can be used for gauging the developed system success and the proposed teaching methodology in general.
Authors and Affiliations
Ilya Osipov, Evgeny Nikulchev, Alex Volinsky, Anna Prasikova
Keywords
Related Articles
- EP ID EP137492
- DOI 10.14569/IJACSA.2015.060211
- Views 112
- Downloads 0
A Survey of Emergency Preparedness
Emergency preparedness is a discipline that harnesses technology, citizens, and government agencies to handle and potentially avoid natural disasters and emergencies. In this paper, a survey of the use of information tec...
Solving for the RC4 stream cipher state register using a genetic algorithm
The RC4 stream cipher has shown to be quite resilient to cryptanalysis for the 26 years it has been around. The algorithm is still one of the most widely used methods of encryption over the Internet today being implement...
Image noise Detection and Removal based on Enhanced GridLOF Algorithm
Image noise removal is a major task in image processing where noise can harness any information inferred from the image especially when the noise level is high. Although there exists many outlier detection approaches use...
Distributed Optimization Model of Wavelet Neuron for Human Iris Verification
Automatic human iris verification is an active research area with numerous applications in security purposes. Unfortunately, most of feature extraction methods in human iris verification systems are sensitive to noise, s...
Multivariate Statistical Analysis on Anomaly P2P Botnets Detection
Botnets population is rapidly growing and they become a huge threat on the Internet. Botnets has been declared as Advanced Malware (AM) and Advanced Persistent Threat (APT) listed attacks which is able to manipulate adva...