基于注意力机制的短视频助力导论类课程教学改革研究——以人工智能导论课程为例  

Research on Teaching Reform of Introduction Course Assisted by Short Video Based on Attention Mechanism--Taking Introduction Course of Artificial Intelligence as an Example

作　　者：张宝迪[1] ZHANG Baodi

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《高教学刊》2024年第18期6-9,共4页Journal of Higher Education

基　　金：2023年国家自然科学基金青年科学基金项目“混合动力系统变结构与变激励耦合扭振分频协调控制研究”(52305050);2021年国家科技部国家重点研发计划课题“多核异构汽车电控单元软硬件集成测试与标定工具”(2021YFB2501303)。

摘　　要：以人工智能导论为代表的导论类课程具有课时少、知识点多、算法难、学生基础差异大等特点,给教学带来诸多难点,如难以平衡深度和广度,难以持续吸引注意力等。利用短视频的多形式表达、多通道传输、高密度信息等优点可以解决导论类课程教学难题。该文在剖析课堂注意力特点和短视频吸引注意力机制的基础上,运行注意分配的认知理论,提出一套基于注意力机制的短视频助力导论类课程的教学方法,可为导论类教学工作者提供参考。Introduction courses,represented by Artificial Intelligence Introduction,are characterized by few class hours,numerous knowledge points,challenging algorithms,and significant student background differences.This poses various teaching difficulties,such as the challenge of balancing depth and breadth,and sustaining attention.Leveraging the advantages of short videos,including diverse forms of expression,multi-channel transmission,and high-density information,can address teaching challenges in introductory courses.This paper,based on analyzing classroom attention characteristics and the mechanism of attracting attention through short videos,applies cognitive theories related to attention allocation.It proposes a set of teaching methods for introductory courses based on attention mechanisms in short videos,providing guidance for educators in introductory teaching.

关 键 词：短视频 注意力机制 导论类课程 双加工理论 教学改革 

分 类 号：G640[文化科学—高等教育学]