Educational Model ML-SAI: Mobile Learning and Flipped Classroom

Ernane Rosa Martins
Borges Gouveia

Lambert Academic Publishing
105 pages, dimensions (cm): 2,4 x 21 x 15

ISBN: 978-620-0-56527-3



CV - Ernane Rosa Martins

CV - Luís Borges Gouveia


Resumo da obra
Tabela de conteúdos
Fevereiro de 2020

Última actualização: 26 / 2 / 2020






Ernane Rosa Martins

Luís Borges Gouveia


Educational Model ML-SAI: Mobile Learning and Flipped Classroom

February 2020
Lambert Academic Publishing
105 pages, dimensions (cm): 2,4 x 21 x 15

ISBN: 978-620-0-56527-3


The current education presents the third wave of technology called Mobile Learning (m-learning), characterized by the use of portable equipment, the global mobile user, ubiquitous connectivity, device independence and computing environment available anywhere and at any time. In this book proposes the ML-SAI, a pedagogical model for mobile learning activities, aimed at contributing orientation, planning and carrying out educational activities through mobile devices, based on the theory of Flipped Classroom (FC). In this theory, content is studied at home with the aid of technology and school students take your questions and share their learning with teacher aid, directing and performing feedback, using activities such as projects, experiments, discussions, group activities, research, among others. Therefore, the model has a differential the fact to integrate online learning with classroom, relating two current teaching approaches, m-learning and FC.

palavras chave:

[ mobile learning ]
[ flipped classroom ]
[ learning ]
[ teaching model ]
[ education ]


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Educational Model MS-SAI: Mobile Learning and Flipped Classroom

Chapter I – Introduction

Chapter II - Educational Model

2.1. Concept of Pedagogical Model: Foundations for a Scientific Concept
2.2. Elements of a Pedagogical Model
2.3. Related Work Addressing Pedagogical Models
2.4. Chapter Summary

Chapter III - Research Methodology

3.1. Methodological Approaches Used
3.2. Template Preparation
3.3. Model Trial
3.4. Data Collect
3.5. Data Analysis
3.6. Data Collection Questionnaire
3.7. Questionnaire Validation
3.8. Ethical Research Procedures
3.9. Chapter Summary

Chapter IV - Proposed Educational Model

4.1. Proposal: Pedagogical Model Ml-Sai
4.1.1. Early Educational Model
4.1.2. Model Educational Intermediate
4.1.3. Model Pedagogical Final
4.1.4. Implementation of Pedagogical Model Ml-Sai
4.2. Chapter Summary

Chapter V - Presentation of Results

5.1. First Trial ML-IAS
5.1.1. ML-IAS Application: Analyzes and Reflections
5.1.2. Considerations
5.2. Second Ml-Sai Trial
5.2.1. ML-IAS Application: Analyzes and Reflections
5.2.2. Considerations
5.3. Third Trial ML-IAS
5.3.1. ML-IAS Application: Analyzes and Reflections
5.3.2. Considerations
5.4. Chapter Summary

Chapter VI - Analysis and Discussion of Results

6.1. Methodological Approaches
6.1.1. Critical Analysis
6.1.2. Comparative Discussion
6.1.3. Reflections
6.2. Availability of Contents
6.2.1. Critical Analysis
6.2.2. Comparative Discussion
6.2.3. Reflections
6.3. Profile Teacher and Student
6.3.1. Critical Analysis
6.3.2. Comparative Discussion
6.3.3. Reflections
6.4. Use of Technological Resources
6.4.1. Critical Analysis
6.4.2. Comparative Discussion
6.4.3. Reflections
6.5. Final Thoughts
6.6. Chapter Summary

Chapter VII - Conclusions and Recommendations

7.1. Contributions Labor
7.2. Limitations and Challenges of Working
7.3. Recommendations
7.4. Future Work


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Ernane Rosa Martins 

PhD student in Information Sciences, specialty of Systems, Technology and Information Management, UFP, Porto/Portugal. Master in Systems and Production Engineering, Postgraduate in Information Management Technologies, Undergraduate on Information Systems and Computer Science. Professor at Instituto Federal de Goiás, Brazil. 


Luís Borges Gouveia, 

Full Professor Catedrático at University Fernando Pessoa, Science and Technology Faculty. Has an Habilitation on Engineering and Industrial Management from University of Aveiro; a PhD on Cumputing Science from University of Lancaster (UK) and a Master degree on Electronic and Computers Engineering from University of Porto. His work spans over more than 100 papers on issues relaed with the uso of information and communication technologies related wih how humans take advantage of the digital in their daily lifes.


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