A Mobile Learning Content-independent Versatile Ubiquitous System (CiVUS)

Mobile learning (m-learning) introduces the idea of learning from virtually anywhere, regardless of the in-motion learner. This paper presents the development and impact of m-learning system capable to deliver personalized contents to the learner, called Content-independent Versatile Ubiquitous System (CiVUS). This solution promotes communication between learners and their teachers by encouraging learners to share self-made multimedia contents. Enabling interactivity makes mobile devices suitable for the development of collaborative activities amongst engineering students. CiVUS intends to offer support for engineering subjects study. It can be used inside or outside classrooms by learners and teachers, due to the mobility of these devices, at the time they find more suitable. The system has been validated and evaluated through a real usage. The study group collected answers from 10 teachers and 87 engineering students of the University of Beira Interior, Portugal and the University of Valladolid, Spain. The results demonstrate that the majority of the inquired people totally agree (all items over 72% for professors and 74% for students).

[1]  Wei-Fan Chen,et al.  Development and evaluation of web service‐based interactive and simulated learning environment for computer numerical control , 2010, Comput. Appl. Eng. Educ..

[2]  Tony Fisher,et al.  Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches , 2009, IEEE Transactions on Learning Technologies.

[3]  Walid Ibrahim,et al.  PerfPred: A web‐based tool for exploring computer architecture design space , 2009, Comput. Appl. Eng. Educ..

[4]  Murat Saran,et al.  Supporting foreign language vocabulary learning through multimedia messages via mobile phones , 2010 .

[5]  Alexandra I. Cristea,et al.  Patterns in Authoring of Adaptive Educational Hypermedia: A Taxonomy of Learning Styles , 2005, J. Educ. Technol. Soc..

[6]  Marina Minhui Lu.  Effectiveness of vocabulary learning via mobile phone , 2008, J. Comput. Assist. Learn..

[7]  Milan S. Matijevic,et al.  Web‐based laboratory for engineering education , 2010, Comput. Appl. Eng. Educ..

[8]  Mats Danielson,et al.  Exploring the e-Learning State of Art , 2008 .

[9]  Dogan Ibrahim,et al.  m-Learning: An experiment in using SMS to support learning new English language words , 2009, Br. J. Educ. Technol..

[10]  Xiao-ling Han,et al.  Mobile termination learning models based on cell phone , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[11]  Johannes Glückler,et al.  What makes mobile computer supported cooperative work mobile? Towards a better understanding of cooperative mobile interactions , 2004, Int. J. Hum. Comput. Stud..

[12]  Matthias Jarke,et al.  A Web 2.0 Personal Learning Environment for Classical Chinese Poetry , 2009, ICWL.

[13]  Christophe Gravier,et al.  Towards the loose coupling between LMS and Remote Laboratories in online engineering education , 2010, IEEE EDUCON 2010 Conference.

[14]  Kurt Squire,et al.  Environmental Detectives: PDAs as a window into a virtual simulated world , 2002, Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education.

[15]  Joel J. P. C. Rodrigues,et al.  Personal Learning Environment Box (PLEBOX): A new approach to E‐learning platforms , 2013, Comput. Appl. Eng. Educ..

[16]  Lyn Pemberton,et al.  Development of a cross-platform ubiquitous language learning service via mobile phone and interactive television , 2007, J. Comput. Assist. Learn..

[17]  Bertrand David,et al.  Use your mobile computing devices to learn - Contextual mobile learning system design and case studies , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[18]  Wang Guangzhi,et al.  Construction of a Knowledge Center for Medical Image Processing , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[19]  Angel Smrikarov,et al.  A General Classification of Mobile Learning Systems , 2005 .

[20]  Wajeeh M. Daher,et al.  Building mathematical knowledge in an authentic mobile phone environment , 2010 .

[21]  Tsung-Yu Liu,et al.  A context-aware ubiquitous learning environment for language listening and speaking , 2009, J. Comput. Assist. Learn..

[22]  Mike Sharples,et al.  The Design and Implementation of a Mobile Learning Resource , 2002, Personal and Ubiquitous Computing.

[23]  Teresa Martín-Blas,et al.  The role of new technologies in the learning process: Moodle as a teaching tool in Physics , 2009, Comput. Educ..

[24]  Jun Hyung Jo,et al.  Ubiquitous learning environment: An adaptive teaching system using ubiquitous technology , 2004 .

[25]  Sebastián Ventura,et al.  Using mobile and web‐based computerized tests to evaluate university students , 2009, Comput. Appl. Eng. Educ..

[26]  Elliot Soloway,et al.  More than just fun and games: assessing the value of educational video games in the classroom , 2004, CHI EA '04.

[27]  Sooyong Kang,et al.  Supporting Multi-device for Ubiquitous Learning , 2007, Edutainment.

[28]  Patricia Thornton,et al.  Using mobile phones in English education in Japan , 2005, J. Comput. Assist. Learn..

[29]  P. Pace,et al.  New wireless communication architectures for interactive fruition of historical and artistic contents , 2008, 2008 1st IFIP Wireless Days.

[30]  Nelson Baloian,et al.  Supporting Rich Interaction in the Classroom with Mobile Devices , 2008, Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (wmute 2008).

[31]  Jie-Chi Yang,et al.  Wireless and mobile technologies to enhance teaching and learning , 2003, J. Comput. Assist. Learn..

[32]  Majlinda Fetaji,et al.  Analyses of mobile learning software solution in education using the task based learning approach , 2009, Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces.

[33]  Mary C. Dyson,et al.  Evaluating Virtual Learning Environments: What Are We Measuring?. , 2003 .