Techno-pedagogical Solution to Support the Improvement of the Quality of Education in Technical and Vocational Training in Mauritania

E-learning is the most promising and fastest growing activity since the advent of the COVID-19 pandemic. Although the pandemic seems to have been eradicated in several countries of the world, it is worth mentioning that some positive cases of the covid-19 variant have been detected. This could accelerate the rate of infection again. Hence the interest generate in reinforcing the quality of distance learning platforms. Technical and vocational training (TVT) in Mauritania is based on science, technology, engineering, and mathematics (STEM) disciplines. Unfortunately, the expansion of the COVID-19 pandemic has negatively impacted the quality of education with a halt in teaching affecting 8000 students. Yet, the quality of education in these disciplines is a key factor in meeting the demands of emergence and economic growth. This paper advocates the mixed pedagogical model by proposing a techno-pedagogical solution to improve the quality of teaching and learning processes. The proposed solution combines the use of technologies such as Modular Object-Oriented Dynamic Learning Environment (Moodle) and Web Real Time Communication (WebRTC) to provide pedagogical services in a context with a limited Internet connection. In addition, we set up a signaling system to maintain direct communication between the pairs, Application Programming Interface (API) of Multipoint Control Unit (MCU) to ensure simultaneous collaboration in a peer-to-peer context, used implementations of security protocols such as Datagram Transport Layer Security (DTLS) and Secure Real-time Transport Protocol (SRTP) to secure data transport.

@article{SEYED2022,
  title     = {Techno-pedagogical Solution to Support the Improvement of the Quality of Education in Technical and Vocational Training in Mauritania},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {7},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Cheikhane SEYED and Jeanne Roux NGO BILONG and Mohamed Ahmed SIDI and Mohamedade Farouk NANNE},
  doi       = {10.14569/IJACSA.2022.0130777},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130777}
}