The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research
İsmail Çelik, Muhterem Dindar, Hanni Muukkonen, Sanna Järvelä
University of Oulu
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摘要与影响
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.
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计算机 / AIOnline Learning and Analytics
Intelligent Tutoring Systems and Adaptive Learning · Explainable Artificial Intelligence (XAI)
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