摘要
大数据、人工智能技术的高速发展为课程教学改革带来了极大的契机,“大数据+教育”“AI+教育”的教学新模式在本科高校中蓬勃兴起并迅速发展。文章基于AI及大数据技术,分析了传统课程评价体系存在的弊端,积极探索了全数据驱动的多元化课程评价体系改革。实践证明,基于数据驱动的多元化课程评价体系更符合学生的个性化差异及学习特点,更加客观及切合实际。
The rapid development of big data and artificial intelligence technology has brought great opportunities for curriculum teaching reform.New teaching models of ’Big Data+education’ and ’AI+education’have flourished and developed rapidly in undergraduate colleges and universities.Based on AI and big data technology,the article analyzes the shortcomings of the traditional curriculum evaluation system,and actively explores the reform of the full data-driven diversified curriculum evaluation system.Practice has proved that the data-driven diversified curriculum evaluation system is more in line with students’ individual differences and learning characteristics,and is more objective and realistic.
作者
俞颖
达新宇
游玲
欧阳林艳
YU Ying;DA Xinyu;YOU Ling;OUYANG Linyan(Yango University,Fuzhou Fujian 350015)
出处
《软件》
2021年第7期8-9,44,共3页
Software
基金
福建省本科高校教学改革研究项目(FBJG20190095)
福建省一流课程项目开发实训(FJSYLKC201903)。
作者简介
俞颖(1984―),女,福建莆田人,硕士研究生,副教授,研究方向:图像处理、模式识别及大数据应用。
