Analysis of the Application Prospects of Computer Big Data in Higher Education Curriculum Software Development
Year: 2024
Type: article
Abstract: This paper explores the application prospects of computer and big data in the development of higher education curriculum software. It analyzes the current state of computer and big data in higher education, including technological applications and the state of curriculum software. The discussion focuses on the demands and challenges in developing higher education curriculum software, emphasizing the need for personalized learning and the limitations of current technologies. The paper further proposes integration paths of computer and big data, such as data collection and processing, data analysis to support educational decision-making, and personalized learning design. Finally, it analyzes the future prospects, pointing out that computer and big data will promote educational equity, enhance teaching quality, and foster lifelong learning development.
Author: Xiaoping Chen
Institution: Communication University of China, Nanjing
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405072470