Machine and deep learning have proven their utility to generate data-driven models with
high accuracy and precision. However, their non-linear, complex structures are often difficult …

This systematic mapping review sheds light on how emerging technologies have been
introduced and taught in various K–12 learning settings, particularly with regard to artificial …

AI education aims to teach AI concepts, essential knowledge, and skills related to the
fundamental ideas in AI. As AI becomes increasingly prevalent in our daily lives, schools …

Machine learning systems have become ubiquitous into our society. This has raised
concerns about the potential discrimination that these systems might exert due to …

Nowadays, it is hard to recall a domain, system, or problem that does not use, embed, or
could be tackled through AI. From early stages of its development, its techniques and …

The use of Artificial Intelligence (AI) and Big Data analysis algorithms is complementary to
theory-driven analysis approaches and becoming more popular also in social sciences. This …

In order to improve the effectiveness of the communication path conversion of ideological
and political (IAP) education in colleges and universities (CAV), this paper uses the original …

This study explores the concept of creativity and artificial intelligence (AI) and their recent
integration. While AI has traditionally been perceived as incapable of generating new ideas …

In order to improve the reliability of higher education quality evaluation, this paper improves
the RBF neural network algorithm based on the characteristics of higher education teaching …

The prevalence of artificial intelligence (AI) and machine learning (ML) technologies in
digital ecosystems has led to a push for AI literacy, giving everybody, including K-12 …