Adaptive Course for Mobile Learning

Razek, Mohammed Abdel; Bardesi, Hisham Jameel

doi:10.1109/cicsyn.2013.45

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…No. Articles [1], [2], [3], [4], [5], [6] [7], [8], [9], [10], [15], [16] Mobile learning 25 [17], [18], [19], [20], [21], [22] [23], [24], [25], [26], [27], [28], [29] [1], [2], [3], [4], [5], [6] Personalization 19 [7], [8], [9], [10], [15], [16], [17] [18], [19], [21], [24], [27], [29] [2], [3], [5], [6], [7], [8] Agents Tech.…”

Section: Resultsmentioning

confidence: 99%

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A Review on Personalization and Agents Technology in Mobile Learning

Qoussini

Jusoh

2014

2014 International Conference on Intelligent Environments

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Mobile Learning (ML), nowadays gains more attention technically and pedagogically. This review of literature deals with the personalization issue in mobile learning, and how agents can be used to support solving this issue, the main objective of this study is to review recent and up to date studies on personalization in mobile learning and the use of agent technology to help in solving this issue. Also to find if there are any gaps in the existing literature. The review process started with a primary search which, then preparing a checklist(Aims, Research Design,framework, and Justification of the findings), after that selecting the most relevant articles (27) according to some general questions, then the analysis process started and resulted some gaps in the existing literature. Results shows that most of the studies concentrate on one aspect of the personalization such as (Device Capabilities, Student Level, Student's Preferences, Network Issues, Course "Subject", Device Operating System, and Location), student level and students preferences gained more attention of investigating than other aspects. On the other hand, there are some issues not investigated at all (emotional state and disabilities). also most of them assure that agents are a solution for personalization in mobile learning. So there is a need for more investigating on how to deploy agents more effectively to support more personalization in mobile learning or deploying multi-agent architecture in mobile learning.

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Section: Resultsmentioning

confidence: 99%

“…Social aspects also get the attention in mobile learning field through using social aspects agent to the system, leading to improve the added value of the mobile learning system, making students more comfort and satisfied when dealing with the system [25].…”

Section: B Personalizationmentioning

confidence: 99%

A Review on Personalization and Agents Technology in Mobile Learning

Qoussini

Jusoh

2014

2014 International Conference on Intelligent Environments

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“…For example, a basic knowledge framework might incorporate levels of interaction with the educator as well as levels of interaction with the classroom participants. This could then be subdivided to create four distinct subgroups such as the "Agent," "Nomad," "Keeper," and "Analyst" (Razek, 2013). The Agent prefers heavy interaction with the facilitator and low interaction with peers.…”

Section: Adaptive Coursesmentioning

confidence: 99%