Artificial Intelligence in Education: A Review

计算机科学 适应性 个性化学习 课程 人工智能 知识管理 多媒体 教学方法 开放式学习 合作学习 数学教育 心理学 生态学 教育学 生物
作者
Lijia Chen,Pingping Chen,Zhijian Lin
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:8: 75264-75278 被引量:1633
标识
DOI:10.1109/access.2020.2988510
摘要

The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. A qualitative research approach, leveraging the use of literature review as a research design and approach was used and effectively facilitated the realization of the study purpose. Artificial intelligence is a field of study and the resulting innovations and developments that have culminated in computers, machines, and other artifacts having human-like intelligence characterized by cognitive abilities, learning, adaptability, and decision-making capabilities. The study ascertained that AI has extensively been adopted and used in education, particularly by education institutions, in different forms. AI initially took the form of computer and computer related technologies, transitioning to web-based and online intelligent education systems, and ultimately with the use of embedded computer systems, together with other technologies, the use of humanoid robots and web-based chatbots to perform instructors' duties and functions independently or with instructors. Using these platforms, instructors have been able to perform different administrative functions, such as reviewing and grading students' assignments more effectively and efficiently, and achieve higher quality in their teaching activities. On the other hand, because the systems leverage machine learning and adaptability, curriculum and content has been customized and personalized in line with students' needs, which has fostered uptake and retention, thereby improving learners experience and overall quality of learning.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
17完成签到,获得积分10
1秒前
阿江shk发布了新的文献求助10
1秒前
大智若愚骨头完成签到,获得积分10
1秒前
AA完成签到,获得积分10
2秒前
易哒哒完成签到,获得积分10
2秒前
2秒前
HEIKU应助AmyDong采纳,获得10
2秒前
3秒前
3秒前
3秒前
搞怪便当完成签到,获得积分10
3秒前
非而者厚应助jinyu采纳,获得10
3秒前
科研人员发布了新的文献求助50
4秒前
Jasper应助神外之城采纳,获得20
5秒前
乐正乘风应助lango采纳,获得10
5秒前
香蕉觅云应助猪猪hero采纳,获得10
5秒前
5秒前
BowenShi发布了新的文献求助10
6秒前
黄大仙完成签到,获得积分10
6秒前
dd完成签到,获得积分10
7秒前
吴辰阳发布了新的文献求助10
8秒前
zho发布了新的文献求助10
9秒前
凌兰发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
哈哈哈发布了新的文献求助10
10秒前
ff发布了新的文献求助10
10秒前
FashionBoy应助陌路孤星采纳,获得10
11秒前
汉堡包应助五五我采纳,获得10
11秒前
12秒前
魯蛋完成签到,获得积分10
13秒前
科研通AI5应助Lin2019采纳,获得10
14秒前
14秒前
吴辰阳完成签到,获得积分10
14秒前
小洪发布了新的文献求助10
15秒前
寒冷半雪完成签到,获得积分10
15秒前
猪猪hero发布了新的文献求助10
15秒前
15秒前
默默完成签到,获得积分20
16秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Introduction to Strong Mixing Conditions Volumes 1-3 500
Understanding Interaction in the Second Language Classroom Context 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3808902
求助须知:如何正确求助?哪些是违规求助? 3353550
关于积分的说明 10365988
捐赠科研通 3069804
什么是DOI,文献DOI怎么找? 1685786
邀请新用户注册赠送积分活动 810743
科研通“疑难数据库(出版商)”最低求助积分说明 766304