Research on the Construction of Flipped Classroom Evaluation Index System for International Chinese Education Based on Deep Learning

Abstract

In-depth learning in international Chinese language education means that students use language learning as a carrier to construct language ability in the overshoot of interactive dialogue built in the Chinese learning situation. The core is to continuously migrate and reconstruct the original language to realize the Mental improvement, communication application, cultural understanding.In accordance with the idea of constructing the most commonly used evaluation index system in educational evaluation research, this study preliminarily constructs a Chinese language education evaluation index system based on deep learning by using the literature method, expert consultation method and analytic hierarchy processThe evaluation indicators of Chinese language education specifically include four first-level indicators: content integration before class, capacity building during class, communication after class, and student feedback and evaluation.Each first-level indicator includes five second-level indicators. The research result shows that the expression of Chinese education evaluation based on deep learning is: