dc.contributor.author |
Adnan, Muhammad |
|
dc.date.accessioned |
2020-11-06T05:08:03Z |
|
dc.date.available |
2020-11-06T05:08:03Z |
|
dc.date.issued |
2014 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/10480 |
|
dc.description |
Supervisor: Dr. Hamid Mukhtar |
en_US |
dc.description.abstract |
Current research has proved that student performance is improved to a great ex-
tent when online educational contents are personalized. Such personalized systems
are known as adaptive systems. Adaptive e-learning technology includes the best
aspects of the study of computer science, education and psychology. Adaptive e-
learning dynamically changes its learning contents based on students' performance.
Common challenges addressed by adaptive e-learning are students' motivation, aca-
demic background and learning style. Primary application of adaptive e-learning
technology is education and business training.
The problem in existing adaptive e-learning systems is that they do not consider the
important aspects of student's personality and academic performance. One common
example is that of learning management system called Moodle which uses one-size-
ts-all approach. Currently there is no such adaptive system that motivates students
based on their preferred learning behavior. Furthermore, no adaptive system exists
that persuades students toward study through di erent text messages based on their
academic performance.
The suggested solution will help students in knowing their learning behavior and
organizing it accordingly. Moreover, through timely reminders and smart mobile
phone messages, students will be directed towards improving their study behavior.
Several contributions connected to this research study are: 1) Helping students in
know their weak and strong study habits; 2) Persuading students to bring improve-
ment in their study behavior based on their personality types; 3) Improving Fogg
Behavior Grid by adding personality layer to it; 4) Developing adaptive and inter-
active mobile app; 5) Developing smart web-based SMS application that persuades
students toward improving their study behavior by sending di erent messages to
their mobile phones based on their academic performance; 6) Comparing interactive
mobile app with web-based SMS application for their e ectiveness.
Results at the end of this research study showed that web-based SMS application
is more applicable and e ective in improving students' study behavior. The key
factors behind the success of web-based SMS application were its simple use, timely
triggers and persuasive text messages. |
en_US |
dc.publisher |
SEECS, National University of Science and Technology, Islamabad. |
en_US |
dc.subject |
Information Technology, Mobile Technology |
en_US |
dc.title |
Using Mobile Technology for Promoting Study Behavior in Students |
en_US |
dc.type |
Thesis |
en_US |