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Analyses of Mobile Learning Possibilities and Software Solutions
Details
The book represents collection of research studies that investigates the possibilities of Mobile Learning and then for the needs of the research conducted and develop several case study experiments. The focus of the research studies is investigation into assessing the effectiveness and performance of Mobile Learning and analyses of mobile software solutions in the higher education setting. The research is proposing a new way of tackling the process of programming of m-learning virtual environments by integrating and undertaking the software engineering approach based on m-learning factors that serve as multidimensional indicators developed within the study for analyses of multicollinearity and following the developed MAI Instructional model for organising the content and TBmLM (Task Based Mobile Learning) Methodology for instructional and development approach as well as MLUAT testing Methodology for testing and assessing m-learning effectiveness and performance. Finally a Usability m-learning framework is devised and recommendations and guidelines are proposed.
Autorentext
Majlinda Fetaji is an Associate professor in South East European University, Ph.D. (2010) in Computer Sciences. Received award Scientist of Year 2008 from Academy of Sciences and Arts. Visiting Professor in many Universities. Bekim Fetaji is Full professor Ph.D. (2008) in Computer Sciences. Has taught in many Universities as Visiting Professor.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786202519960
- Genre Programmiersprachen
- Sprache Englisch
- Anzahl Seiten 236
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm x T15mm
- Jahr 2020
- EAN 9786202519960
- Format Kartonierter Einband
- ISBN 6202519967
- Veröffentlichung 15.04.2020
- Titel Analyses of Mobile Learning Possibilities and Software Solutions
- Autor Majlinda Fetaji , Bekim Fetaji
- Untertitel Assessing M-Learning Effectiveness And Performance
- Gewicht 369g