Educational Model ML-SAI: Mobile Learning and Flipped Classroom
Ernane Rosa Martins
ISBN: 978-620-0-56527-3
CV - Ernane Rosa Martins CV - Luís Borges Gouveia
Resumo da obra |
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Ernane Rosa Martins Luís Borges Gouveia
February 2020 ISBN: 978-620-0-56527-3
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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.
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TABELA DE CONTEÚDOS
Educational Model MS-SAI: Mobile Learning and Flipped Classroom
Chapter I – Introduction
Chapter II - Educational
Model
Introduction
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
Introduction
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
Introduction
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
Introduction
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
Introduction
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
Introduction
7.1. Contributions Labor
7.2.
Limitations and Challenges of Working
7.3. Recommendations
7.4. Future
Work
References
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CV
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.
CV
Luís Borges Gouveia
lmbg@ufp.edu.pt,
http://homepage.ufp.pt/lmbg
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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