Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model

Abstract

COVID-19 pandemic accelerated the digitalization and the implementation of technological tools to distribute knowledge and content to certify the instructional process's steadiness despite the restrictions posed in many nations worldwide. However, multi-models of development and integrations based on multitudes of theoretical and conceptual frameworks made it difficult for deciders during the year - especially in developing countries - to follow a clear path based on their contextual needs. Based on a literature review and historical Data, Learning Ana-lytics research, and its empirical results, this article proposes a data-analytics model for growth. Training/educational technologies help stakeholders use data as intelligence sources to implement technologies that will improve traditional learning procedures without constraining practices. As a result, the paper also suggests, according to the pragmatic results, a 4-year plan applicable in multidi-mensional contexts to enhance the organization's learning capabilities as a whole unit to face future trials. The return on experience in the last year of the pandemic contracts the methodological basis of results. Furthermore, this manuscript's aim is defined by the urgent necessity of post-pandemic solutions to positively safe-guard the future of keeping the wheel of knowledge running for the learners and warrant upcoming transition into using data as a source of developing new learn-ing technologies.

Revolutionizing Moroccan Education with AI: A Path to Customized Learning

“…To effectively adapt to AI technologies, Moroccan educators have to take part in continuing practical training, adopt adaptive learning systems, and utilize AI infrastructure [20]. These efforts should include tight collaboration with AI experts, developing effective AI teaching models, and selecting the appropriate technologies.…”

“…Integrating these technologies into Moroccan schools presents challenges such as developing suitable digital infrastructure, training instructors in AI-enhanced teaching methods, and structuring curricula to fully leverage AI advantages [19]. To adequately address these difficulties, a thorough approach is required that leverages the creative potential of ML and LLMs while simultaneously launching initiatives that promote a fair and accessible educational environment for all students [20]. That will help prevent the widening of current inequalities in the education system.…”

Utilizing M-Technologies for AI-Driven Career Guidance in Morocco: An Innovative Mobile Approach

“…A successful implementation of an AI orientation manifest as a chatbot in the educational sector can be seen in the case study of the Big Data and Data Science Master cycle in the Ben M'Sick Faculty of Sciences, Hassan II University in Casablanca, Morocco [15].…”