Cloud Computing Platform for Mentoring Trainees: The Case of the Professional Training of Midwives in Morocco

  • Imad Lamniai Ben M’sik Faculty of Sciences, Hassan II University of Casablanca, Morocco
  • Mustapha Bassiri Ben M’sik Faculty of Sciences, Hassan II University of Casablanca, Morocco
  • Abderrazak Mazouak Ben M’sik Faculty of Sciences, Hassan II University of Casablanca, Morocco
  • Said Belaaouad Ben M’sik Faculty of Sciences, Hassan II University of Casablanca, Morocco
  • Malika Tridane Ben M’sik Faculty of Sciences, Hassan II University of Casablanca, Morocco
Keywords: Cloud computing, Online platform design, Monitoring – Evaluation, Intelligent tutoring

Abstract

The digital transformation invites several solutions to optimize professional training. Its particularity lies in the management, conservation and securing of their data to each of the players. The use of the electronic learning booklet with Cloud computing aims to be simple and intuitive, it creates interaction and makes it possible to strengthen the links of the trinomial (Student, Educational tutor, supervisor on a training)
We thought of using a online platform tool using Cloud Computing Technology to overcome the limitations of the "paper" learning booklet. This technical-pedagogical system makes it possible to save all data of the apprentice through evaluation grids and follow-up sheets, both during training periods and in theoretical training, according to periods decided by the training institution. The adoption of this imperative of qualification and technological integration retains the role of each of the actors: the student, the pedagogical supervisor and the supervisor on a training course. In this strategic vision, we have conceptualized and implemented an Electronic Learning Booklet (ELB) for integrative professionalization.
Our Research Methodology is based on an engineering of the training devices. Initially we will present the context of the research project ELB. In this framework, we will present our problematic centered on the management of technical invention and pedagogical innovation in the framework of training of Midwives in Morocco. In a second step, we will discuss the qualitative and quantitative results of the statistical analysis of our target sample.
By crossing the results of the study with the validation interviews, which confound and invalidate our starting hypothesis. LEA is a powerful vector of quality and academic performance of midwifery training.

Published
2021-01-13
How to Cite
Imad Lamniai, Mustapha Bassiri, Abderrazak Mazouak, Said Belaaouad, & Malika Tridane. (2021). Cloud Computing Platform for Mentoring Trainees: The Case of the Professional Training of Midwives in Morocco. Iraqi Journal of Science, 59-67. https://doi.org/10.24996/ijs.2021.SI.1.9