"Empowering Smart Teaching with AIGC in the Ïntegration of Specialization and Innovation\": An Exploration and Practice"
Year: 2024
Type: conference-paper
Abstract: With the rapid development of Artificial Intelligence Generated Content (AIGC) technology and computer science innovations, its application in education is being explored. This paper examines and experiments with the innovative use of Artificial Intelligence Generated Content (AIGC) in a ‘specialized and integrated’ educational and teaching model, assessing its impact on pedagogical innovation, improving student creativity, and optimizing educational resources. Using computer technologies such as machine learning, data analytics, and natural language processing, AIGC can dynamically generate tailored instructional content and interactive learning experiences. While reviewing the implementation approaches and insights of AIGC-driven teaching and learning, we propose a viable educational framework that combines AIGC and computing technologies to enhance the intelligence, personalization, and flexibility of the teaching and learning process. This approach aims to provide scientific and practical guidance for engineering education reform in the context of emerging digital technologies.
Authors: Yu Wang, Bi Wang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: American Indian Graduate Center
OpenAlex ID: W4409965515