信息教学创新2020年23期

人工智能支持下自适应学习的实验研究
彭斌
(广州市执信中学,广东 广州 510080)

摘  要:人工智能支持下,教学变革是必然趋势,人工智能支持下的自适应学习在教师角色、学习交互、学习生态等方面产生了积极影响。研究表明教师投入度、学生投入度和平台技术支撑是影响自适应学习的关键因素,其中教师投入度与学生投入度显著相关;理科的自适应学习与成绩显著相关,通过自适应学习能提高理科班级平均成绩;自适应学习与学生完成平台作业显著相关,故教师要加强作业设计,让学生在作业中获得成就感。


关键词:人工智能;自适应学习;作业设计



中图分类号:G434         文献标识码:A         文章编号:2096-4706(2020)23-0184-04


Experimental Research on Adaptive Learning Supported by Artificial Intelligence

PENG Bin

(Guangzhou Zhixin High School,Guangzhou 510080,China)

Abstract:Under the support of artificial intelligence,teaching reform is an inevitable trend. Adaptive learning supported by artificial intelligence has a positive impact on teachers’role,learning interaction and learning ecology. The research shows that teacher engagement,student engagement and platform technology support are the key factors affecting adaptive learning,in which teacher engagement is significantly correlated with student engagement;adaptive learning of science is significantly related to performance,through adaptive learning can improve the average performance of science class;adaptive learning is significantly related to students completing platform homework,so teachers should strengthen homework design,so that students can get a sense of achievement in homework.

Keywords:artificial intelligence;adaptive learning;homework design


课题项目:广州市教育科学规划课题(201811883)


参考文献:

[1] 彭斌. 基于人工智能的智慧学习新常态 [J]. 现代信息科技,2020,4(21):185-187.

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[5] 张恩德, 包荣鑫. 深度学习模型及自适应技术研究进展 [J/OL]. 中文科技期刊数据库(全文版)自然科学.(2020-11-10).http://www.cqvip.com/QK/72191X/201704/epub1000000926049.html.


作者简介:彭斌(1978.10 -),男,汉族,广东梅州人,中学高级教师,硕士,研究方向:教学管理、基于AI 的自适应学习、智慧校园。