The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research

被引:206
作者
Celik, Ismail [1 ]
Dindar, Muhterem [2 ]
Muukkonen, Hanni [1 ]
Jarvela, Sanna [2 ]
机构
[1] Univ Oulu, Fac Educ, Learning & Learning Proc Res Unit, Oulu 90014, Finland
[2] Univ Oulu, Fac Educ, Learning & Educ Technol Res Unit, Oulu 90014, Finland
关键词
Artificial intelligence in education; Systematic review; Teacher professional development; Technology integration; HIGHER-EDUCATION; TOOL; REAL; EVOLUTION; FRAMEWORK; STUDENTS; TRENDS;
D O I
10.1007/s11528-022-00715-y
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study provides an overview of research on teachers' use of artificial intelligence (AI) applications and machine learning methods to analyze teachers' data. Our analysis showed that AI offers teachers several opportunities for improved planning (e.g., by defining students' needs and familiarizing teachers with such needs), implementation (e.g., through immediate feedback and teacher intervention), and assessment (e.g., through automated essay scoring) of their teaching. We also found that teachers have various roles in the development of AI technology. These roles include acting as models for training AI algorithms and participating in AI development by checking the accuracy of AI automated assessment systems. Our findings further underlined several challenges in AI implementation in teaching practice, which provide guidelines for developing the field.
引用
收藏
页码:616 / 630
页数:15
相关论文
共 87 条
[21]   Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective [J].
Chiu, Thomas K. F. ;
Chai, Ching-sing .
SUSTAINABILITY, 2020, 12 (14)
[22]  
Clark D., 2020, Artificial intelligence for learning: How to build intelligent systems that learn with you
[23]   Level 2 Screening With the PDD Behavior Inventory: Subgroup Profiles and Implications for Differential Diagnosis [J].
Cohen, Ira L. ;
Liu, Xudong ;
Hudson, Melissa ;
Gillis, Jennifer ;
Cavalari, Rachel N. S. ;
Romanczyk, Raymond G. ;
Karmel, Bernard Z. ;
Gardner, Judith M. .
CANADIAN JOURNAL OF SCHOOL PSYCHOLOGY, 2017, 32 (3-4) :299-315
[24]   Artificial Intelligence for Diabetes Management and Decision Support: Literature Review [J].
Contreras, Ivan ;
Vehi, Josep .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2018, 20 (05)
[25]   Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies [J].
Cope, Bill ;
Kalantzis, Mary ;
Searsmith, Duane .
EDUCATIONAL PHILOSOPHY AND THEORY, 2021, 53 (12) :1229-1245
[26]  
Cukurova M., 2018, MEASURING IMPACT EME
[27]   Assessing the readability of fiction: a corpus analysis and readability ranking of 200 English fiction texts [J].
Dalvean, Michael ;
Enkhbayar, Galbadrakh .
LINGUISTIC RESEARCH, 2018, 35 :137-170
[28]   Can software improve marker accuracy at detecting contract cheating? A pilot study of the Turnitin authorship investigate alpha [J].
Dawson, Phillip ;
Sutherland-Smith, Wendy ;
Ricksen, Mark .
ASSESSMENT & EVALUATION IN HIGHER EDUCATION, 2020, 45 (04) :473-482
[29]  
Demir M, 2015, EDUC SCI-THEOR PRACT, V15, P1169
[30]  
Denzin N.K., 2017, RES ACT THEORETICAL, DOI [10.4324/9781315134543, DOI 10.4324/9781315134543]