Quality model for M-learning applications

  • Authors:
  • Adrian Visoiu;Lorena Batagan;Catalin Boja

  • Affiliations:
  • Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania;Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania

  • Venue:
  • DNCOCO'09 Proceedings of the 8th WSEAS international conference on Data networks, communications, computers
  • Year:
  • 2009

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Abstract

A high level of quality is an important objective for any software application because it has a major impact on the user-software relation. The concept is a complex one and a representative analysis must take into consideration particular characteristics and properties of a specific category of software products. This paper defines a quality model to be used to asses characteristics levels for M-learning applications. The model is represented by an aggregate indicator that quantifies the effect of all the factors taken into consideration. In order to validate the model are proposed two approaches to be used on a real M-learning product. The role of the model is to evaluate quality levels of M-learning applications and to allow developers to improve it or to allow users to rank different applications. The factors included in the quality model have been identified in other researches, [2], from a user point of view.