摘要

本文在“人工智能+教育”大背景下构建了基于可解释型人工智能算法的实践课堂教学方法和评价体系。首先采集历史班级学生数据构建训练集，然后基于训练集构建人工智能分类算法，实现对授课班级学生的兴趣分类和分组。通过组织学生开展分组研讨，对《旅游新业态》课程的“乐山非遗文化旅游”进行了PPT汇报和实践活动评价，取得了良好的教学效果。教学实践证明，我们构建的可解释型人工智能算法能够有效实现班级学生分类，使学生能够按照兴趣准备实践汇报，提高了实践课的授课质量。

Abstract

This paper constructs a practical classroom teaching method and evaluation system based on interpretable artificial intelligence algorithms in the context of "artificial intelligence+education". Firstly, collect historical class student data to construct a training set, and then build an artificial intelligence classification algorithm based on the training set to achieve interest classification and grouping of students in the teaching class. By organizing group discussions among students, a PPT presentation and practical activity evaluation were conducted on the "Leshan Intangible Cultural Heritage Tourism" course of "New Tourism Formats", achieving good teaching results. Teaching practice has proven that the interpretable artificial intelligence algorithm we have constructed can effectively classify students in a class, enabling them to prepare practical reports according to their interests and improving the quality of practical teaching.

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