Four Strategies for Children’s Contextualized Learning

Author(s):  
Li Jilin
AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.


AI & Society ◽  
2006 ◽  
Vol 20 (3) ◽  
pp. 271-287 ◽  
Author(s):  
F. Henri ◽  
P. Gagné ◽  
M. Maina ◽  
Y. Gargouri ◽  
J. Bourdeau ◽  
...  

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 61 ◽  
Author(s):  
Adolfo Ruiz-Calleja ◽  
Miguel Bote-Lorenzo ◽  
Guillermo Vega-Gorgojo ◽  
Sergio Serrano-Iglesias ◽  
Juan Asensio-Pérez ◽  
...  

Smart Education requires bridging formal and informal learning experience. However, how to create contextualized learning resources that support this bridging remains a problem. In this paper, we propose to exploit the open data available in the Web to automatically create contextualized learning resources. Our preliminary results are promising, as our system creates thousands of learning resources related to formal education concepts and physical locations in the student’s local municipality. As part of our future work, we will explore how to integrate these resources into a Smart Learning Environment.


Sign in / Sign up

Export Citation Format

Share Document