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

Возможности и вызовы искусственного интеллекта для учителей: систематический обзор исследований
İsmail Çelik, Hanni Muukkonen, Muhterem Dindar, Sanna Järvelä
2022-03-25

AI implementation challengesArtificial intelligence in educationAutomated essay scoringMachine learningTeacher data analysis
Abstract 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.
1
AI applications support teachers’ planning by identifying students’ needs and familiarizing teachers with those needs.
2
AI can improve teaching implementation through immediate feedback and support for timely teacher intervention.
3
AI facilitates assessment practices, including automated essay scoring.
4
Teachers contribute to AI development by serving as training models and verifying the accuracy of automated assessment systems.
5
The review identifies challenges in implementing AI in teaching practice, offering guidance for future field development.

Teachers’ use of artificial intelligence applications and machine learning methods for analyzing teachers’ data

Opportunities, roles, and challenges associated with AI-supported teaching planning, implementation, assessment, and AI technology development

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Publication Date
2022-03-25
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Authors
İsmail Çelik
Hanni Muukkonen
Muhterem Dindar
Sanna Järvelä
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