“人工智能+教育”背景下的高校创新教学模式与评价体系构建 ——以乐山非遗美食实践讨论课为例

摘要

“人工智能+教育”飞速发展的大趋势下，人工智能技术与课堂教学深度融合是研究热点。本文分析了高校实践课程教学研究现状和背景，提出了构建高校创新教学模式与评价体系。首先建立了高校创新教学模式与评价体系总体框架，然后建立了可解释型人工智能兴趣数据挖掘模型，基于兴趣挖掘结果对班级学生进行分类，最后建立了创新教学模式的评价体系。通过对乐山非遗美食实践讨论课开展实证分析，证明了我们构建的创新教学模式和评价体系具有可行性，能够帮助教师科学合理地规划教学分组，实现高质量教学。

Abstract

With the rapid development of "artificial intelligence+education", the deep integration of artificial intelligence technology and classroom teaching is a research hotspot. This article analyzes the current situation and background of research on practical course teaching in universities, and proposes the construction of innovative teaching models and evaluation systems in universities. Firstly, an overall framework for innovative teaching models and evaluation systems in universities was established. Then, an interpretable artificial intelligence interest data mining model was developed to classify class students based on interest mining results. Finally, an evaluation system for innovative teaching models was established. Through empirical analysis of the practical discussion class on Leshan intangible cultural heritage cuisine, it has been proven that our innovative teaching model and evaluation system are feasible and can help teachers scientifically and reasonably plan teaching groups to achieve high-quality teaching.

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