AI-Enhanced Teaching Model Reconstruction: A Case Study of Data Collection and Cleaning Course
Year: 2024
Type: article
Abstract: This paper discusses how to improve the traditional teaching status of data collection and cleaning courses through the "AI+ Data Collection and Cleaning" teaching model in the context of artificial intelligence technology. The paper proposes a studentcentered teaching model divided into four stages: exploration, practice, application, and innovation, utilizing AI technology to enhance students' initiative, practical ability, and innovation capability in learning data collection and cleaning. Through AIassisted data processing teaching examples, the learning experience has been significantly improved, enhancing students' senseof achievement, reducing the burden of technical learning, and effectively improving students' expression and communicationskills
Author: Qi Bin, Hari Haran Muthupandian
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893255751
FWCI:
Cites:
Cited by:
Related to: