Download pdf
Digital intelligence driven and elemental energy cultivated together: Teaching application and method innovation based on artificial intelligence
- 1 Guangdong University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
With the rapid development of information technology, artificial intelligence technology is gradually being introduced in the field of education to achieve more efficient and personalized teaching. The educational concept of combining intelligence with numbers and cultivating abilities with all elements emerged in this context, aiming to promote the development and reform of education through the deep integration of artificial intelligence and education. The combination of digital and intelligent technologies emphasizes the dual role of digitalization and intelligence in the field of education, which promotes the quality and effectiveness of education through mutual promotion of digital means and intelligent technologies. Digitalization can provide education with massive data resources and efficient processing capabilities, while intelligence can achieve precise identification and satisfaction of students' personalized needs based on these data and resources. The joint cultivation of elements and abilities emphasizes the joint cultivation of literacy and abilities, that is, in the education process, not only should we focus on imparting knowledge, but also on cultivating students' literacy and abilities. Literacy includes information literacy, innovation literacy, humanistic literacy, etc., while abilities include learning ability and practical ability. Through the co cultivation of elements and abilities, students can better adapt to the development and changes of future society.
Keywords
artificial intelligence, teaching methods, teaching innovation
[1]. Liu Qingtang, He Haoyi, Wu Linjing, Deng Wei, Chen Yue,&Wang Yang, etc (2019) Artificial intelligence based classroom teaching behavior analysis method and its application China's Audiovisual Education (9), 9
[2]. Gu Xiaoqing,&Li Shijin (2021) Artificial Intelligence Education Brain: A Technical Framework for Data Driven Education Governance and Teaching Innovation China's audio-visual education
[3]. Xu Ying, Xiong Maohua, Yin Xia, Guo Jie,&Xu Chunrong (2021) Exploration of Teaching Reform in Artificial Intelligence Application Technology Course Based on OBE Computer Knowledge and Technology: Academic Edition
Cite this article
An,X. (2023). Digital intelligence driven and elemental energy cultivated together: Teaching application and method innovation based on artificial intelligence. Advances in Engineering Innovation,1,16-21.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal：Advances in Engineering Innovation
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).