| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Radical solutions for artificial intelligence and digital transformation in education/ edited by Daniel Burgos ... [et al.]. |
| Reminder of title: |
utilising disruptive technology for a better society / |
| other author: |
Burgos, Daniel. |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
viii, 250 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
Artificial Intellience, Digital Transformation, and Education, as a combined contribution to society -- UNIR declaration for an ethical use of Artificial Intelligence in Higher Education -- Trends of artificial intelligence in special education and their relation to the sustainable development goals: where are we now, and where are we heading? -- Empowering Education With Generative Artificial Intelligence: Opportunities And Challenges -- Machine Learning for Education: Current State and Future Prospects -- Leveraging AI in Education Powered by Intelligent Social Experiment -- Artificial Intelligence and Education: Ethical questions and guidelines for their relations based on human rights, democracy and the rule of law -- AI and University. A successful marriage -- A Retrospective Analysis of Artificial Intelligence in Education (AIEd) Studies: Perspectives, Learning Theories, Challenges, and Emerging Opportunities -- A Comprehensive Review of Context-aware Recommender Systems in Education -- Promoting the Integration of AI-Based Tools In Education Through Ict Foundations -- Decolonising effect of Digital Transformation in online educational methodology -- Dynamic Iteration of Pedagogical Designs in AIED: Findings from a Literature Review and Bibliometric Analysis -- Enabling Digital Competencies Appropriation at Universidad Nacional de Colombia through Digital Transformation Chair -- Review Of Digital Transformation In Higher Education In Arab Countries. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Educational applications. - |
| Online resource: |
https://doi.org/10.1007/978-981-97-8638-1 |
| ISBN: |
9789819786381 |