Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage

For the development effective and successful mobile learning applications, it is important to understand the users’ requirements in different stages of usage. In this paper, we developed a new model to study the effect of different factors on mobile learning applications development at the three main stages of usage (static stage, interaction stage and transaction stage). The results of this study showed that each stage of the three stages, static, interaction, and transaction has different requirements in terms of system compatibility, security, information quality, awareness, perceived functional benefit, self-efficacy, perceived image, perceived uncertainty, availability of resources, and perceived trust. In addition, the results demonstrated that the requirements and perceptions of users towards the adoption and use of mobile learning application in the three stages significantly differ. The novelty of this research will be an added value to the body of knowledge and its implications will be vital for researchers and designers who are developing mobile learning applications.

[1]  Bimal Aklesh Kumar,et al.  Mobile learning adoption: A systematic review , 2018, Education and Information Technologies.

[2]  Hodjat Hamidi,et al.  Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran , 2019, Telematics Informatics.

[3]  Faisal Aburub,et al.  A new integrated model to explore factors that influence adoption of mobile learning in higher education: An empirical investigation , 2019, Education and Information Technologies.

[4]  Neil A. M. Maiden User Requirements and System Requirements , 2008, IEEE Software.

[5]  Mohammed Amin Almaiah,et al.  Analysis of the Effect of Course Design, Course Content Support, Course Assessment and Instructor Characteristics on the Actual Use of E-Learning System , 2019, IEEE Access.

[6]  Yogesh Kumar Dwivedi,et al.  e-Government Adoption Model (GAM): Differing service maturity levels , 2011, Gov. Inf. Q..

[7]  Mohammed Amin Almaiah,et al.  Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives , 2016 .

[8]  Hodjat Hamidi,et al.  Essential factors for the application of education information system using mobile learning: A case study of students of the university of technology , 2019, Telematics Informatics.

[9]  Yung-Ming Cheng Towards an understanding of the factors affecting m-learning acceptance: Roles of technological characteristics and compatibility , 2015 .

[10]  Mohammed Amin Almaiah,et al.  Analysis of the essential factors affecting of intention to use of mobile learning applications: A comparison between universities adopters and non-adopters , 2018, Education and Information Technologies.

[11]  Vitaliy Mezhuyev,et al.  Technology Acceptance Model in M-learning context: A systematic review , 2018, Comput. Educ..

[12]  Sergio Luján-Mora,et al.  Advantages and Disadvantages of M-Learning in Current Education , 2018, 2018 IEEE World Engineering Education Conference (EDUNINE).

[13]  Jonathan Earthy,et al.  What Are User Requirements? Developing an ISO Standard , 2018, HCI.

[14]  Mohammed Amin Almaiah Acceptance and usage of a mobile information system services in University of Jordan , 2018, Education and Information Technologies.

[15]  Mohammed Amin Almaiah,et al.  Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education , 2019, IEEE Access.

[16]  Mohammed Amin Almaiah,et al.  Investigating Students' Perceptions on Mobile Learning Services , 2014, Int. J. Interact. Mob. Technol..

[17]  R. Gonzalez Applied Multivariate Statistics for the Social Sciences , 2003 .

[18]  DR. Mohammed Amin Almaiah,et al.  A CONCEPTUAL FRAMEWORK FOR DETERMINING THE SUCCESS FACTORS OF E-LEARNING SYSTEM IMPLEMENTATION USING DELPHI TECHNIQUE , 2018 .

[19]  Francisco J. García-Peñalvo,et al.  Exploring the unknown: The effect of resistance to change and attachment on mobile adoption among secondary pre-service teachers , 2019, Br. J. Educ. Technol..

[20]  Muneera Bano,et al.  A systematic review on the relationship between user involvement and system success , 2015, Inf. Softw. Technol..

[21]  Mohammed Amin Almaiah,et al.  Extending the TAM to examine the effects of quality features on mobile learning acceptance , 2016, Journal of Computers in Education.

[22]  PRELIMINARY STUDY FOR EXPLORING THE MAJOR PROBLEMS AND ACTIVITIES OF MOBILE LEARNING SYSTEM: A CASE STUDY OF JORDAN , 2016 .

[23]  Sebastian Linxen,et al.  Facebook as a learning tool? A case study on the appropriation of social network sites from mobile phones in developing countries , 2012, Br. J. Educ. Technol..