人工智能时代计算机类专业课程标准建设探索  

Exploration on the Construction of Curriculum Standards for Computer Major Courses in the Age of Artificial Intelligence

作　　者：叶静 郑梦泽 黄春芳 YE Jing;ZHENG Meng-ze;HUANG Chun-fang(Dean’s Office,Ningbo University of Finance&Economics,Ningbo 315175,China;Research Office,Ningbo University of Finance&Economics,Ningbo 315175,China;College of Digital Technology and Engineering,Ningbo University of Finance&Economics,Ningbo 315175,China)

机构地区：[1]宁波财经学院教务处,宁波315175 [2]宁波财经学院科研处,宁波315175 [3]宁波财经学院数字技术与工程学院,宁波315175

出　　处：《印刷与数字媒体技术研究》2023年第4期88-95,187,共9页Printing and Digital Media Technology Study

基　　金：浙江省教育科学规划2021年度规划项目——基于课程标准的专业人才培养目标达成度评价与研究——以宁波财经学院为例(No.2021SCG073);浙江省教育科学规划2021年度重点项目——后疫情时期混合式教学模式改革的学习成果评价研究与实践(No.2021SB054)。

摘　　要：教育信息化给负有信息人才培养使命的高校计算机类专业教育带来了机遇和挑战,建设课程标准加大课程建设力度是计算机类专业人才培养的一项重要工作。本文提出了计算机类课程应构建基于以学习者为中心的目标——过程——成果“三位一体”、覆盖教学全过程的课程标准,并以“数据结构”课程为例,对课程教学改革和质量监测情况进行实证分析,研究发现该课程目标达成度总体水平较高,改革成效显著。人工智能时代计算机类专业课程建设需通过完善课程标准、丰富成果评价、注重执行过程、搭建数字化学习平台,以保证课程建设质量。Educational informatization has brought opportunities and challenges to the professional education of computer majors in colleges and universities with the mission of training information talents.It is an important work for the training of computer major to strengthen the construction of curriculum standards.The following ideas were proposed in this paper.The computer major courses should be built based on the learners centered goal--process--results“trinity”,covering the whole process of teaching course standard.Taking“data structure”as an example,the course teaching reform and quality monitoring were empirically analyzed.The results showed that the overall level of achievement of the course was high,and the reform has achieved remarkable results.In the era of artificial intelligence,the computer major courses require improving course standards,enriching achievement evaluation,emphasizing the execution process,and building a digital learning platform to ensure the quality of course construction.

关 键 词：教育信息化 人工智能 计算机类专业 课程标准 学习成果 

分 类 号：G642[文化科学—高等教育学] TP181[文化科学—教育学]