Personal Learning Environment

Virtual Learning Environments (VLE) have become popular in higher education in recent years due to their ability to provide additional and flexible solutions for students and researchers. However, the limitations of VLEs have led to the development of a new generation of VLE – the Personal Learning Environment (PLE). PLEs avoid these limitations and have new features that allow students to control and develop new applications, such as Web 2.0 applications and social networks. Whilst PLEs have resolved some of the drawbacks of VLEs, it is argued that PLEs also have greater potential to cover a wider range of aspects. This paper presents a proactive context-aware architecture for PLE supporting two major objectives: lifelong access and learner-centric study, covering both traditional formal (institution-based) and informal (private, non-institution-based) academic learning. Bayesian Networks are graphical modeling tools that have been used for modeling uncertain knowledge. Moreover, BN has been used in this research to implement the proposed architecture.

[1]  Denis Gillet,et al.  Personal learning environments in a global higher engineering education Web 2.0 realm , 2010, IEEE EDUCON 2010 Conference.

[2]  Oleg Liber.  Colloquia – a conversation manager , 2000 .

[3]  Jadwiga Indulska,et al.  Location Management in Pervasive Systems , 2003, ACSW.

[4]  Vojkan Mihajlovic,et al.  Dynamic Bayesian Networks: A State of the Art , 2001 .

[5]  Euiho Suh,et al.  Context-aware systems: A literature review and classification , 2009, Expert Syst. Appl..

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

[7]  Kevin B. Korb,et al.  Bayesian Artificial Intelligence , 2004, Computer science and data analysis series.

[8]  Steve Green,et al.  Enabling learning for all through adaptable personal learning environments , 2008 .

[9]  Y. Kawahara,et al.  A Stochastic Approach for Creating Context-aware Services based on Context Histories in Smart Home , 2005 .

[10]  Rose F. Gamble,et al.  Monoliths to Mashups: Increasing Opportunistic Assets , 2008, IEEE Software.

[11]  Kristof Van Laerhoven,et al.  How to build smart appliances? , 2001, IEEE Personal Communications.

[12]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

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

[14]  Mark William Johnson,et al.  Personal Learning Environments: Challenging the Dominant Design of Educational Systems , 2006, EC-TEL Workshops.

[15]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[16]  Sandra Schaffert,et al.  On the way towards Personal Learning Environments: Seven crucial aspects , 2008 .

[17]  Graham Attwell,et al.  Personal Learning Environments - the future of eLearning? , 2007 .

[18]  Chengling Zhao,et al.  Construct Personal Learning Environment Based on Web2.0 , 2009, 2009 International Conference on Management and Service Science.

[19]  Fridolin Wild,et al.  Designing for Change: Mash-Up Personal Learning Environments , 2008 .

[20]  M. van Harmelen,et al.  Personal Learning Environments , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[21]  Kalmanje Krishnakumar,et al.  Intelligent Systems for Aerospace Engineering - An Overview , 2003 .

[22]  Mikko Vesisenaho,et al.  Perspectives on personal learning environments held by vocational students , 2012, Comput. Educ..

[23]  Olivier Pourret,et al.  Bayesian networks : a practical guide to applications , 2008 .

[24]  Hongyu Zhao,et al.  The personal learning environment (PLE) based on web2.0 , 2010, 2010 IEEE 2nd Symposium on Web Society.

[25]  Jerome Yen,et al.  Virtual Learning Environment (VLE): a Web-based collaborative learning system , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.