A Context-Aware Personalized M-learning Application Based on M-learning Preferences

The purpose of this paper is to present the data analysis obtained from our interview study, which showed that participants had different individual mobile learning (hereafter, abbreviated as m-learning) preferences. The understanding of these preferences for different m-learning requirements can be used as a foundation for building successful personalized m-learning applications catered to learners’ individual m-learning needs. Participants’ dynamic m-learning preferences (including location of study, noise/distractions level in a location, and time of day) are described. We propose a context-aware personalized m-learning application based on these m-learning preferences. Six scenarios are given to illustrate the m-learning preferences of different learners. The system architecture consists of a learner profile, personalization mechanism and learning objects repository. An initial m-learning preferences questionnaire is used to obtain learners’ dynamic m-learning preferences. Current context values are retrieved from context-aware technologies. Appropriate learning objects are selected to learners based on their preferences and context values.

[1]  Taiyu Lin Application of Learning Styles Adaptivity in Mobile Learning Environments Kinshuk , 2004 .

[2]  Birgit Bomsdorf,et al.  Didactic Profiling: Supporting the Mobile Learner , 2004 .

[3]  Chih-Ming Chen,et al.  Personalized Context-Aware Ubiquitous Learning System for Supporting Effectively English Vocabulary Learning , 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

[4]  Mike Joy,et al.  Application of Learning Styles for Effective Mobile Learning , 2006 .

[5]  Hiroaki Ogata,et al.  Knowledge awareness map for computer-supported ubiquitous language-learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[6]  Mike Joy,et al.  A mobile and context-aware learning schedule framework from a pedagogical perspective – an interview study , 2009 .

[7]  Kun Hua Tsai,et al.  Personalized Learning Objects Recommendation based on the Semantic-Aware Discovery and the Learner Preference Pattern , 2007, J. Educ. Technol. Soc..

[8]  Mike Joy,et al.  A Mobile Context-Aware Framework for Managing Learning Schedules: Data Analysis from an Interview Study , 2009, Int. J. Mob. Blended Learn..

[9]  Yuan-Kai Wang,et al.  Context awareness and adaptation in mobile learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[10]  Hyungsung Park Design and development of a mobile learning management system adaptive to learning style of students , 2005, IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'05).

[11]  L. Cohen,et al.  Research methods in education, 6th ed. , 2007 .

[12]  Mike Joy,et al.  Context-aware and adaptive learning schedule for mobile learning , 2006 .

[13]  Andrew G. Dempster,et al.  Indoor Positioning Techniques Based on Wireless LAN , 2007 .

[14]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[15]  Mike Joy,et al.  A mobile and context-aware adaptive learning schedule framework from a usability perspective : a 'diary: diary-questionnaire' study , 2009 .

[16]  Kinshuk,et al.  Advanced Adaptivity in Learning Management Systems by Considering Learning Styles , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[17]  Mark Burnett,et al.  Activities, context and ubiquitous computing , 2002, Comput. Commun..

[18]  UoB P. Lefrere D4.1 Guidelines for Learning in a Mobile Environment Mobilearn/uon, Uob, Ou/wp4/d4.1/1.2 , 2012 .

[19]  L. Cohen,et al.  Research Methods in Education , 1980 .

[20]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[21]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[22]  K. Dunn,et al.  Teaching Students Through Their Individual Learning Styles: A Practical Approach , 1978 .

[23]  Peter Lonsdale,et al.  Educational metadata for mobile learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[24]  Mike Joy,et al.  An adaptive context-aware mobile learning framework based on the usability perspective , 2010, Int. J. Mob. Learn. Organisation.

[25]  Kinshuk,et al.  An Approach for Detecting Learning Styles in Learning Management Systems , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[26]  Mohamed Jamal Zemerly,et al.  Web-based Context-Aware m-Learning Architecture , 2007, Int. J. Interact. Mob. Technol..

[27]  Peter Lonsdale,et al.  MOBIlearn WP 4 - PEDAGOGICAL METHODOLOGIES AND PARADIGMS (UON, UOB, OU) Guidelines for learning/teaching/tutoring in a mobile environment , 2005 .

[28]  Susan Bull,et al.  Context and Learner Modelling for the Mobile Foreign Language Learner , 2005 .

[29]  Mike Joy,et al.  A Self-Regulated Learning Approach: A Mobile Context-aware and Adaptive Learning Schedule (mCALS) Tool , 2008, Int. J. Interact. Mob. Technol..