人工智能专业文献检索课程项目制教学模式探究  

Research on project-based teaching mode of artificial intelligence professional literature retrieval course

作　　者：胡明欢 谷国栋 李登山 薛李娜 HU Minghuan;GU Guodong;LI Dengshan;XUE Lina(School of Big Data and Artificial Intelligence,Ma̓anshan University,Ma̓anshan,Anhui 243100,China)

机构地区：[1]马鞍山学院大数据与人工智能学院,安徽马鞍山243100

出　　处：《计算机应用文摘》2024年第14期27-29,32,共4页Chinese Journal of Computer Application

基　　金：马鞍山学院校级质量工程教学研究项目(202216)。

摘　　要：文献检索作为一门融理论与实践于一体的必修课程,对于培养学生的信息素养以及科研能力具有重要意义。然而,传统的文献检索课程教学模式往往侧重于理论知识的传授,缺乏实践性和创新性,导致学生的课堂参与度不高。文章以人工智能专业为例,探索在文献检索课程中引入项目制教学模式,即将人工智能领域的热门技术引入教学,实施项目引入、任务分解、制定计划、分组实施、整合展示和评价反馈6个步骤,旨在激发学生的学习兴趣和提高实践能力,培养具有创新精神的人工智能专业人才。As a compulsory course that integrates theory and practice,literature retrieval is of great significance in cultivating students̓information literacy and research abilities.However,the traditional teaching model of literature retrieval courses often focuses on imparting theoretical knowledge,lacking practicality and innovation,resulting in low classroom participation among students.Taking artificial intelligence as an example,this article explores the introduction of project-based teaching mode in literature retrieval courses,which introduces popular technologies in the field of artificial intelligence into teaching.The six steps of project introduction,task decomposition,plan formulation,group implementation,integrated display,and evaluation feedback are implemented,aiming to stimulate students̓learning interest and improve practical abilities,and cultivate innovative AI professionals.

关 键 词：文献检索 项目制 教学改革 论文写作 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]