TY - JOUR ID - TI - Cloud Computing Platform for Mentoring Trainees: The Case of the Professional Training of Midwives in Morocco AU - Imad Lamniai* AU - Mustapha Bassiri AU - Abderrazak Mazouak AU - Said Belaaouad AU - Malika Tridane PY - 2021 VL - IS - (Special Issue) International Conference on Communication, Management and Information Technology IC SP - 59 EP - 67 JO - Iraqi Journal of Science المجلة العراقية للعلوم SN - 00672904 23121637 AB - 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.

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