DocumentCode
3656410
Title
Enhancing Student Engagement through Personalized Motivations
Author
Athanasios Staikopoulos;Ian OKeeffe;Bilal Yousuf;Owen Conlan;Eddie Walsh;Vincent Wade
Author_Institution
Sch. of Comput. Sci. &
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
340
Lastpage
344
Abstract
A lack of appropriate engagement in online learning courses is a significant factor leading to poor performance and high dropout rates. This paper presents a framework that provides personalized motivations in the form of feedback, advices and reminders in order to enhance the engagement of students with online learning. It also describes the design, implementation and evaluation of the framework which has been used by over one hundred students. The paper focuses on how the framework by modelling and monitoring the level of engagement of students, it provides tailored motivations to stimulate and sustain their engagement. Finally, the paper compares the results from a previous student cohort (where no motivations were provided) to highlight how the framework has significantly increased the level of engagement of students.
Keywords
"Monitoring","Engines","Education","Context","Electronic mail","Least squares approximations","Portals"
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
Type
conf
DOI
10.1109/ICALT.2015.116
Filename
7265345
Link To Document