skip to main content
10.1145/2023607.2023705acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

Validation of a multi-criteria model used to evaluate M-Learning applications quality

Published:16 June 2011Publication History

ABSTRACT

In education and other fields, quality is a concept that characterizes the output. Because the educational process affects people, in this field, quality is more important than in any other economic or industrial process. The way educational processes have been conducted has been evolving by implementing new techniques and methods, concepts from other fields, like psychology, and in the last decades, technology. The rapid evolution of mobile technologies and devices, and also its impact on daily activities of young people, has been seen as a new way to deliver knowledge and to assist the educational process. Because the quality of the educational process depends also on the quality of methods used to deliver knowledge, it is important to evaluate the quality of M-Learning applications.

The paper continues previous presented work by defining a validation model for a proposed multi-criteria quality model used to evaluate M-Learning applications. The paper describes the proposed quality model and a validation process that is used to evaluate the representativeness of results. Because these results measure the quality of the analyzed M-Learning applications, it is important to test the model.

References

  1. ISO/IEC 9126, "International Standard -- Information Technology - Software product evaluation - Quality characteristics and guidelines for their use", 1991, Geneve, Switzerland.Google ScholarGoogle Scholar
  2. Kinshuk, "Adaptive mobile learning technologies", Global Educator, Department of Information Systems Massey University, New Zealand, 2003.Google ScholarGoogle Scholar
  3. Naismith L., Lonsdale P., Vavoula G., Sharpies M., "Literature Review in Mobile Technologies and Learning", University of Birmingham, ISBN: 0-9548594-1-3, 2004.Google ScholarGoogle Scholar
  4. Oliver R., "Assuring the Quality of Online Learning in Australian Higher Education" In M. Wallace, A. Ellis & D. Newton (Eds), Poceedings of Moving Online II Conference (pp 222--231). Lismore: Southern Cross University, 2001.Google ScholarGoogle Scholar
  5. Pocatilu P. and Boja C., "Quality Characteristics and Metrics related to M-Learning Process", Amfiteatru Economic, Nr.26, 2009, pp. 346--354, ISSN 1582--9146.Google ScholarGoogle Scholar
  6. Pocatilu P., Vetrici M., "M-Applications Development using High Performance Project Management Techniques" in Proc. of. 10th WSEAS International Conference on Mathematics and Computers in Business and Economics (MCBE'09), Prague, Czech Republic, March 23--25, 2009, ISSN: 1790--5109, ISBN: 978-960-474-063-5, pp. 123--128; Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Poledňák P. "E-Trainer -- Valorisation of the best e-learning practices among teachers and trainers in Europe", report on the focus group interview - Discussion Panel: e-learning University of Zilina, June 7th 2007Google ScholarGoogle Scholar
  8. Prensky M., "Digital Natives, Digital Immigrants", in On the Horizon, MCB University Press, Vol. 9 No. 5, October 2001Google ScholarGoogle Scholar
  9. Sharples, M., Taylor, J., & Vavoula, G., "Towards a Theory of Mobile Learning", In H. van der Merwe & T. Brown, Mobile Technology: The Future of Learning in Your Hands, mLearn 2005 Book of Abstracts, 4th World Conference on mLearning, Cape Town, 25--28 October 2005. Cape Town: mLearn 2005, p. 58.Google ScholarGoogle Scholar
  10. Visoiu A., "Software metrics refinement", PhD Thesis, Academy of Economic Studies, Bucharest, 2009.Google ScholarGoogle Scholar
  11. Visoiu A., Batagan L., Boja, C., "Quality model for M-learning applications", Proceedings of the 8th WSEAS international conference on Data networks, communications, computers, pp. 60--66, November 07--09, 2009, Baltimore, MD, USA, ISSN 1790--5109 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Validation of a multi-criteria model used to evaluate M-Learning applications quality

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies
        June 2011
        688 pages
        ISBN:9781450309172
        DOI:10.1145/2023607

        Copyright © 2011 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 June 2011

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate241of492submissions,49%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader