Adaptive Mobile Learning System

Hisham Jameel BardesiMohammed A. Razek

Deanship of Distance Learning, King Abdulaziz University, Kingdom of Saudi Arabia, P.O. Box

 . .hbardesi@kau edu sa ,maabdulrazek1@kau.edu.sa

Agenda• Introduction• Related Work• Adaptive Mobile Learning System

Architecture• AMLS Overview• Conclusion & Future work• References

Introduction

• Mobile learning technology is growing up rapidly and it has a great potential to provide students with learning at anytime and anywhere

• However, each individual has his/her single way of learning.

• Adaptive mobile learning can personalize courses to meet individual needs.

Research Objectives• To satisfy the third condition, we need

answer two questions: • Is this a learning object that the learner

needs? • Does it contain information that he can

understand?

Related Work• Adaptive presentation and curriculum

sequencing; adaptive navigation Brusilovsky 1998 .

• CITS uses learning-machine techniques to identify the learners’ preferred learning style [Razek 2003].

• Graf et al. [Graf 2006] keeps track students’ behavior, records that students with different learning style preferences proceed differently in the course.

Adaptive Mobile Learning System Architecture-AMLS

AMLS Architecture

AMLS Architecture

Filtering Agent

Pedagogical Agent

AMLS Architecture

It is in charge of acquiring knowledge about learners- such as their learning profiles, learning style

It classifies learning objects based on Anderson learning styles.

Filtering Agent

Pedagogical Agent

Filtering Agent

• It is in charge of acquiring knowledge about learners- such as their learning profiles, learning style

Pedagogical Agent• It classifies learning objects

based on Anderson learning styles.

AMLS Overview• AMLS is designed and implemented based

on the criteria of Deanship of Distance Learning (DDL), at King Abdulazie University (KAU).

• The first version of AMLS is currently developed by using Adobe® Flash® Lite™ 3.0 Developer Edition along with Nokia's Web Runtime (WRT). AMLS is implemented on Nokia 5800 XpressMusic

Learner logs in AMLS through its user interface

It allows them to enter their interests, such as (name, data of birth, subjects that they prefer)

AMLS allows learner to browse its contents

Conclusion & Future work• The paper presented adaptive mobile

learning system.• The system was developed by Adobe®

Flash® Lite™ 3.0 Developer Edition along with Nokia's Web Runtime (WRT).

• The future work is to use HTML5 with XML to develop a new version from AMLS in order to run it through Iphone and other mobile platforms.

References• [Graf 2006] Graf S.., and Kinshuk Considering Learning Styles in

Learning Management Systems: Investigating the Behavior of Students in an Online Course. First International Workshop on Semantic Media Adaptation and Personalization (SMAP'06)

• [Brusilovsky 1998] Brusilovsky, P. 1998. “Adaptive Educational Systems on the World-Wide-Web: A Review of Available Technologies.” Paper presented at the 4th International Conference on Intelligent Tutoring Systems (ITS '98), in San Antonio .

• [Razek et al. 2003a] Razek, M.A., C. Frasson, and M. Kaltenbach.2003. “A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments.” Paper presented at the 12th International World Wide Web Conference, 20-24 May, in Budapest.