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Adaptive Mobile Learning System . Hisham Jameel Bardesi Mohammed A. Razek Deanship of Distance Learning, King Abdulaziz University , Kingdom of Saudi Arabia, P.O. Box , Agenda. Introduction Related Work

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adaptive mobile learning system

Adaptive Mobile Learning System


Mohammed A. Razek

Deanship of Distance Learning, King Abdulaziz

University, Kingdom of Saudi Arabia, P.O. Box,

  • Introduction
  • Related Work
  • Adaptive Mobile Learning System Architecture
  • AMLS Overview
  • Conclusion & Future work
  • References
  • 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
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
Related Work
  • Adaptive presentation and curriculum sequencing; adaptive navigation Brusilovsky1998 .
  • 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.
amls architecture1
AMLS Architecture

Filtering Agent

Pedagogical Agent

filtering agent
Filtering Agent
  • Itis in charge of acquiring knowledge about learners- such as their learning profiles, learning style
pedagogical agent
Pedagogical Agent
  • It classifies learning objects based on Anderson learning styles.
amls overview
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
conclusion future work
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 Iphoneand other mobile platforms.
  • [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.