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Artificial Intelligence and learning, epistemological perspectives

AI & SOCIETY, 2007
In this article, I establish a theory of knowledge approach for evaluating the use of computers for educational purposes at the university. In so doing, I trace part of the history of the “enabling factor” of Artificial Intelligence in this sector, an important element that has been integrated into everyday learning environments.
openaire   +1 more source

Trustworthy machine learning and artificial intelligence

XRDS: Crossroads, The ACM Magazine for Students, 2019
How can we add the most important ingredient to our relationship with machine learning?
openaire   +1 more source

Artificial Intelligence and Machine Learning in Preeclampsia

Arteriosclerosis, Thrombosis, and Vascular Biology
Preeclampsia is a multisystem hypertensive disorder that manifests itself after 20 weeks of pregnancy, along with proteinuria. The pathophysiology of preeclampsia is incompletely understood. Artificial intelligence, especially machine learning with its capability to identify patterns in complex data, has the potential to revolutionize preeclampsia ...
openaire   +2 more sources

Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus

Esophagus, 2018
Y. Kumagai   +13 more
semanticscholar   +1 more source

The effectiveness of artificial intelligence on learning achievement and learning perception: A meta-analysis

Interactive Learning Environments, 2023
Lanqin Zheng   +2 more
exaly  

Trends in artificial intelligence-supported e-learning: a systematic review and co-citation network analysis (1998–2019)

Interactive Learning Environments, 2023
Kai-Yu Tang   +2 more
exaly  

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