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1.
Stud Health Technol Inform ; 302: 482-483, 2023 May 18.
Article in English | MEDLINE | ID: covidwho-2321785

ABSTRACT

The paper proposes a methodology that emphasis techno-pedagogy, namely the constructivist and the adaptive intelligent learning of specialized semiology of COVID-19. An e-learning built on a constructivist pedagogy with a technology such adaptive intelligent environment, can be individualized (adaptive learning), can enhance learners' interactions with others (collaborative learning), and transforming the role of the teacher as facilitators of learning and assessor of competency. To make our system intelligent, we cope with Artificial Intelligence and Big data.


Subject(s)
COVID-19 , Computer-Assisted Instruction , Education, Medical , Humans , Computer-Assisted Instruction/methods , Artificial Intelligence , Learning , Education, Medical/methods , Teaching
2.
Stud Health Technol Inform ; 294: 721-722, 2022 May 25.
Article in English | MEDLINE | ID: covidwho-1865440

ABSTRACT

In this article, we present a methodology and a tool for extracting and analyzing information, reported by a social media monitor, of people who have taken drugs to treat Covid-19 and the adverse effects encountered.


Subject(s)
COVID-19 , Drug-Related Side Effects and Adverse Reactions , Social Media , Data Science , Humans , Pharmacovigilance
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