ABSTRACT
Mobile learning (m-learning) can be characterized by the ability to promote a strong interaction among apprentices and tutors, assuring greater motivation, convenience and flexibility to the learning process. Mobile learning environments have emerged in this context as a way to support the m-learning initiatives. However, despite their relevance, there is no complete and well-defined set of requirements for such systems. Motivated by this scenario, in this paper we present a requirements catalog for mobile learning environments. The catalog was established from the results of a systematic review conducted in this domain. Additionally, based on the knowledge of domain specialists, the requirements were prioritized to reflect the main experiences, needs and constraints regarding the m-learning development. The catalog adopts a three-level hierarchical structure, in which the main criteria, characteristics and requirements of m-learning environments are defined and detailed.
- Kinshuk, T., Suhonen, J., Sutinen, E., Goh, T. 2003. Mobile technologies in support of distance learning. In: Asian Journal of Distance Education, v. 1, n. 1, p. 60--68.Google Scholar
- Nah, K. C., White, P., Sussex, R. 2008. The potential of using a mobile phone to access the internet for learning EFL listening skills within a korean context. ReCALL, Cambridge University Press, New York, NY, USA, v. 20, n. 3, p. 331--347. ISSN 0958--3440. Google ScholarDigital Library
- O'Malley, C., Vavoula, G., Glew, J., Taylor, J., Sharples, M. 2003. Guidelines for learning/teaching/tutoring in a mobile environment, Mobilearn project deliverable. Available in: http://www.mobilearn.org/download/results/guidelines.pdfGoogle Scholar
- Wexler, S., Brown, J., Metcalf, D., Rogers, D., Wagner, E. 2008. Mobile Learning: What it is, why it matters, and how to incorporate it into your learning strategy. Guild Research Library. Available in: http://www.elearningguild.comGoogle Scholar
- Economides, A. A. 2008. Requirements of Mobile Learning Applications. International Journal of Innovation and Learning 5(5), 457--479.Google ScholarCross Ref
- Nestel, D., Nig, A., Gray, K., Hill, R., Villaneuva, E., Kotsanas, G. 2010. Evaluation of mobile learning: Students' experiences in a new rural-based medical school. BMC Medical Education, 10, 57--79. doi:10.1186/1472-6920-10-57Google ScholarCross Ref
- Parsons, D., Ryu, H. and Cranshaw, M. 2006. A Study of Design Requirements for Mobile Learning Environments. Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT), 96--100. Google ScholarDigital Library
- Bertoa, M. F., Vallecillo, A. 2002, Quality attributes for cots components. In Proceedings of the 6th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE), Spain.Google Scholar
- Hoffmann, M., Kuhn, N., Weber, M., Bittner, M. 2004. Requirements for requirements management tools. In Proceedings of the IEEE International Requirements Engineering Conference (RE'04), pages 301--308, Kyoto, Japan, September. Google ScholarDigital Library
- Pan, Y., Li, L., Zhamg, X. 2010. Learning can happen Anytime and Anywhere: the Application of M-learning in Medical Education. Education Technology and Computer Science (ETCS), Second International Workshop on Education Technology and Computer Science, vol 3, p 508--511.Google Scholar
- Kitchenham, B. 2004. Procedures for performing systematic reviews. Joint Technical Report Software Engineering Group, Department of Computer Science Keeli University, United King and Empirical Software Engineering, National ICT Australia Ltd.Google Scholar
- Reis, R., Escudeiro, P., Escudeiro, N. 2012. Educational Resources for Mobile Wireless Devices: A Case Study. IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education. Google ScholarDigital Library
- Young, C. P. 2008. Study of M-learning System for Middle School. In Proceedings of the Industrial Engineering and Engineering Management. IEEM.Google Scholar
- Laine, T. H., Sedano, C. A., Joy, M., Sutinen, E. 2010. Critical Factors for Technology Integration in Game-Based Pervasive Learning Spaces. In Proceedings of the IEEE Transactions on Learning Technologies, Vol. 3(4). Google ScholarDigital Library
- Ayala, G. And Castillo, S. 2008. Towards Computational Models for Mobile Learning Objects. Paper presented at the Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (WMTE'05), Tokushima, Japan. Google ScholarDigital Library
- Martin, S. M. 2010. M2Learn: Towards a homogeneous vision of advanced mobile learning development. Education Engineering (EDUCON), IEEE, p 569--574.Google Scholar
- Zervas, P. 2011. Tools for Context-Aware Learning Design and Mobile Delivery. Advanced Learning Technologies (ICALT), 11th IEEE International Conference on Advanced Learning Technologies. Google ScholarDigital Library
- Zhuang, L., and Du Yan, C. X. 2009. Mobile Learning Applied Research Based on 3G Technology. Seventh ACIS International Conference on Software Engineering Research, Management and Applications. pp. 173--175. Haikou, China. 2--4 December. Google ScholarDigital Library
- Sharp, H., Taylor, J., Lober, A., Frohberg, D., Mwanza, D., Murelli, E. 2003. Establishing user requirements for a mobile learning environment. Paper presented at the Eurescom Summit, Evolution of Broadband Services, Heidelberg, Germany.Google Scholar
- Pocatilu P. and Boja C. 2009. Quality Characteristics and metrics related to m-learning process. Amfiteatru Economic, Year XI, June, No. 26, pp. 346--354.Google Scholar
- Ozdamli, F., Cavus, N. 2011. Basic elements and characteristics of mobile learning. World Conference on Educational Technology Researches, Volume 28, p 937--94.Google ScholarCross Ref
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