Adapting Learning Contents to Mobile Devices and Context to Improve Students' Learning Performance: A Case Study

E-learning has been a revolution in recent years in training field. This, combined with the increased use of mobile devices has caused the emergence of m-learning. Hence new problems have appeared in the training field, such as displaying correctly learning contents in a mobile device that has restricted features or taking into account the learner's context in the learning process, who could be anywhere. For this reason the adaptation concept is used, in order to personalize or adapt the learning contents to each student. This paper presents a case study in a real course using a multi-agent system for adapting the learning contents to the learner's context and to his/her mobile device. The results of the experiment show that the students who used the adaptive system (experimental group) obtained better grades than the students who did not (control group).

[1]  Luvai Motiwalla,et al.  Mobile learning: A framework and evaluation , 2007, Comput. Educ..

[2]  Kinshuk,et al.  Adaptivity and Personalization in Mobile Learning. , 2010 .

[3]  Ramon Fabregat,et al.  CONTEXT-AWARE ADAPTATION PROCESS TO BUILD UNITS OF LEARNING BASED ON IMS-LD STANDARD , 2009 .

[4]  Tzu-Chien Liu,et al.  Identifying Personalized Context-Aware Knowledge Structure for Individual User in Ubiquitous Learning Environment , 2008, Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (wmute 2008).

[5]  Rosa M. Carro,et al.  Supporting the Development of Mobile Adaptive Learning Environments: A Case Study , 2009, IEEE Transactions on Learning Technologies.

[6]  Bill N. Schilit,et al.  Disseminating active map information to mobile hosts , 1994, IEEE Network.

[7]  José Ramón Hilera,et al.  An experiment for improving students performance in secondary and tertiary education by means of m-learning auto-assessment , 2010, Comput. Educ..

[8]  Dongsong Zhang,et al.  Challenges, Methodologies, and Issues in the Usability Testing of Mobile Applications , 2005, Int. J. Hum. Comput. Interact..

[9]  Panagiotis Zervas,et al.  Supporting Context-Aware Adaptive and Personalized Mobile Learning Delivery: Evaluation Results from the Use of UoLm Player , 2013, 2013 IEEE 13th International Conference on Advanced Learning Technologies.

[10]  Pedro Pablo Garrido Abenza,et al.  VisualJVM: A Visual Tool for Teaching Java Technology , 2008, IEEE Transactions on Education.

[11]  Rosemary Luckin,et al.  Re-Designing Learning Contexts: Technology-Rich, Learner-Centred Ecologies , 2010 .

[12]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[13]  Pilar Rodríguez Marín,et al.  A Mechanism to Support Context-Based Adaptation in M-Learning , 2006, EC-TEL.

[14]  Panagiotis Zervas,et al.  Delivering Adaptive and Context-Aware Educational Scenarios via Mobile Devices , 2012, 2012 IEEE 12th International Conference on Advanced Learning Technologies.

[15]  Toshio Okamoto,et al.  A Device-Independent System Architecture for Adaptive Mobile Learning , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[16]  Antonio Garcia-Cabot.  A Proposal of a Multi-Agent System for Adapting Learning Contents to User Competences, Context and Mobile Device , 2013 .

[17]  Fasheng Liu,et al.  Adaptive Device Context Based Mobile Learning Systems , 2011, Int. J. Distance Educ. Technol..

[18]  Annie Becker,et al.  Electronic Commerce: Concepts, Methodologies, Tools and Applications , 2007 .

[19]  Christer Carlsson,et al.  Factors driving the adoption of m-learning: An empirical study , 2010, Comput. Educ..

[20]  Jinwoo Kim,et al.  An empirical study of the use contexts and usability problems in mobile Internet , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.