DocumentCode :
240449
Title :
Comparison of Adaptive E-learning Mobile and Web-Based Software Applications Effectiveness
Author :
Adnan, Muhammad ; Mukhtar, Hamid
Author_Institution :
Kohat Univ. of Sci. & Technol. (KUST), Kohat, Pakistan
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
67
Lastpage :
71
Abstract :
Our research studies the impact of different adaptive learning strategies on improving students study behavior. We have developed an e-learning software system that assists students to improve their study behavior from two different perspectives. In both of the perspectives, our e-learning system has different functionalities and implements different adaptive learning techniques. In the first approach, e-learning software system uses mobile app that through automatic reminders and different screen widgets, persuades the students to stay in touch with study and keep themselves up to date about different class activities. In the second approach, e-learning system uses automated web based SMS application for automatically sending timely and related messages to different students in order to keep them aware of their study progress and different class activities. Both approaches were thoroughly tested on undergraduate students and at the end interesting results were revealed about different adaptive and persuasive techniques that would help educationalist and software engineers in streamlining the process of mobile learning in future.
Keywords :
Internet; computer aided instruction; electronic messaging; mobile computing; Web-based software application effectiveness; adaptive e-learning mobile application effectiveness; adaptive learning strategies; automated Web based SMS application; automatic reminders; e-learning software system; mobile app; screen widgets; students study behavior; undergraduate students; Correlation; Electronic learning; Mobile communication; Smart phones; Software systems; Adaptive; E-learning; Mobile Persuasion; Personalized; Persuasive strategies; Persuasive text messages; Reminders; Smart Phones; Study Behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.30
Filename :
6901401
Link To Document :
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