Model for Considering the Propensity of Students to Accept M-learning

  • Isidora Milošević University of Belgrade, Technical Faculty in Bor, Serbia
  • Ana Rakić University of Belgrade, Faculty of Organizational Sciences, Serbia
  • Sanela Arsić University of Belgrade, Technical Faculty in Bor, Serbia
  • Anđelka Stojanović University of Belgrade, Technical Faculty in Bor, Serbia
  • Ivica Nikolić University of Belgrade, Technical Faculty in Bor, Serbia
  • Predrag Đorđević University of Belgrade, Technical Faculty in Bor, Serbia

Abstract

Research question: The aim of the study is to examine the inclination of engineering students in Serbia to adopt M-learning. Motivation: Mobile technologies provide new solutions in the current concept of learning. Students today have a new approach to learning since they live in the era of digital technology. The use of mobile technology in higher education came along with the technological enlightenment of professors and students, eradicating geographical boundaries and enabling cooperative learning. Idea: Mobile learning (M-learning) is unthinkable without the use of mobile devices and it plays an increasingly important role in the development of teaching methods in higher education. The research refers to the analysis and assessment of M-learning in higher education with the aim to identify problems and weaknesses related to the application of M-learning in order to set alternatives and criteria for the proposed model. Data: The survey was conducted through a questionnaire, and 341 correctly filled out questionnaires were collected. The obtained data were processed by the Visual Promethee software package. Tools: The research methodology was based on the Multi-criteria decision analysis (MCDA) method which was used in the form of PROMETHEE II/GAIA technique. In order to rank the student programmes from different study areas, groups of questions were used as criteria, and study programmes were used as alternatives. Findings: The acquired results indicated that M-learning was mostly used by the students of Engineering Management, since they frequently used mobile technology in certain required courses, as well as for obligatory business practice. It was also concluded that the study programme Metallurgical Engineering had the lowest performance concerning the implementation of M-learning among all other observed study programmes. Contribution: The conclusions of this study can add to the awareness-raising of the higher education institutions' interested parties and alert them to improve the quality of M-education by pointing out that there are differences in the adoption of M-learning depending on the type of engineering sciences.

Author Biographies

Isidora Milošević, University of Belgrade, Technical Faculty in Bor, Serbia

Isidora Milošević, PhD, is an Associate Professor at the Technical faculty in Bor. Her main research interests include strategic management, new technology and innovation, structural equation modelling, corporate social responsibility and marketing in small and medium-sized entreprises. She co-authored a number of research papers published in international scientific journals and has led several international research projects.

Ana Rakić, University of Belgrade, Faculty of Organizational Sciences, Serbia

 Ana Rakić, PhD, is an Assistant Professor at the University of Belgrade, Faculty of Organizational Sciences. Her main research interests are quality management, standardization, metrology, accreditation, and certification. She is a co-author of many papers in international and national journals and conferences and a member of CASCO technical committee at the Institute for Standardization of Serbia.

Sanela Arsić, University of Belgrade, Technical Faculty in Bor, Serbia

Sanela Arsić, PhD, is an Assistant Professor at the Technical Faculty in Bor, University of Belgrade.  She is the author and co-author of a number of papers in international and national journals and conferences on the following scientific areas: operational research, quality of management, corporate social responsibility, structural equation modelling.

Anđelka Stojanović, University of Belgrade, Technical Faculty in Bor, Serbia

Anđelka Stojanović, PhD student, is employed at the Department of Management, Technical Faculty in Bor, University of Belgrade as an assistant for subjects: decision making theory, theory reliability, production management. She is the author and co-author of a numbet of papers in international and national journals and conferences.

Ivica Nikolić, University of Belgrade, Technical Faculty in Bor, Serbia

Ivica Nikolić, PhD, is an Assistant Professor at the University of Belgrade, Technical Faculty in Bor, Department of Engineering Management. He is the author and co-author of numerous papers in international and national journals and conferences on the following scientific areas: methods of linear and nonlinear statistical analysis, environmental management, modelling business and technology processes, new technology and innovation.

Predrag Đorđević, University of Belgrade, Technical Faculty in Bor, Serbia

Predrag Đorđević, PhD, is employed at the Department of Management, Technical Faculty in Bor, University of Belgrade as an associate professor for subjects: quality of management, advanced information technology. He is the author and co-author of a number of papers in international and national journals and conferences.

Published
2020-12-07
How to Cite
Milošević, I., Rakić, A., Arsić, S., Stojanović, A., Nikolić, I., & Đorđević, P. (2020). Model for Considering the Propensity of Students to Accept M-learning. Management:Journal Of Sustainable Business And Management Solutions In Emerging Economies, . doi:10.7595/management.fon.2020.0021
Section
Articles