What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions

Moore, RL (通讯作者),Univ Florida, Sch Teaching & learning, Gainesville, FL 32611 USA.
2023-1-3
This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence's instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning contexts and the learner-interface interactions. Our findings highlight that most of intelligent systems are being deployed in math or informal settings. Also, there are opportunities for more collaboration to facilitate teaching and learning in domain-specific areas. Additionally, researchers can explore how to implement more collaborative learning opportunities between intelligent tutors and learners. We conclude with a discussion of the reciprocal nature of this technology integration.
JOURNAL OF RESEARCH ON TECHNOLOGY IN EDUCATION
卷号:55|期号:1|页码:7-20
ISSN:1539-1523|收录类别:SSCI
语种
英语
来源机构
State University System of Florida; University of Florida; North Carolina State University; State University System of Florida; University of Florida
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
8
2013以来使用计数
8
EISSN
1945-0818
出版年
2023-1-3
DOI
10.1080/15391523.2022.2148785
WOS学科分类
Education & Educational Research
学科领域
循证教育学
关键词
artificial intelligence K-12 machine learning