Author(s)

Jing Zhao

Corresponding Author

Jing Zhao

Abstract

This article focuses on the "assessment system of intelligent classroom learning effect of vegetable cultivation based on big data (BD) analysis". Firstly, this article expounds the development trend of smart education and the application prospect of BD analysis in the field of education, points out the limitations of traditional education mode, and puts forward the necessity of building an assessment system for learning effect in smart classroom. Subsequently, the article defines the concept and characteristics of smart classroom, and clarifies its unique advantages in the teaching of vegetable cultivation. In the construction of assessment system, this article expounds the design principles and objectives, the construction of assessment index system and the application strategy of BD technology in detail, which provides scientific basis and practical methods for the assessment of learning effect in smart classroom. Finally, the article puts forward implementation strategies, including strengthening technical support and training, policy and financial support, and establishing cooperation and exchange mechanisms to ensure the smooth implementation of smart classrooms. This article holds that the assessment system of intelligent classroom learning effect of vegetable cultivation based on BD analysis is of great significance for improving instructional quality and promoting students' individualized development.

Keywords

Big data analysis; Vegetable cultivation; Smart classroom; Assessment system of learning effect; Implementation strategy