Article citationsMore>>

Benhamdi, S., Babouri, A. and Chiky, R. (2016) Personalized Recommender System for e-Learning Environment. Education and Information Technologies, 22, 1455-1477.
https://doi.org/10.1007/s10639-016-9504-y

has been cited by the following article:

• TITLE: Exploration of the Path of Artificial Intelligence Enabling Science Education

  AUTHORS: Mengchi Li, Xiu Wu

  KEYWORDS: Artificial Intelligence, Science Education, Teaching Innovation

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.4, April 18, 2025

  ABSTRACT: This paper discusses the application of artificial intelligence technology in science teaching and its far-reaching impact on education model. By analyzing the applications of AI technology in personalized learning, virtual LABS and intelligent assessment, the potential and challenges of AI-enabled science teaching are revealed. Research shows that AI technology can significantly improve the effectiveness and efficiency of science teaching, but it also faces technical, ethical and educational equity challenges. This paper aims to provide a reference for science educators to promote the effective application of AI technology in science teaching.Subject AreasPedagogy