AI Testing
Mason Ross
Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV
Beschreibung
"AI Testing" explores how artificial intelligence is transforming educational assessment, aiming to enhance exam design, prevent cheating, and improve test accuracy. Traditional testing methods often suffer from biases and inefficiencies; AI offers a robust alternative. For instance, AI can tailor questions to individual student proficiency levels, creating personalized and accurate assessments. Furthermore, AI proctoring technologies utilize biometric identification and behavioral analysis to maintain academic integrity.
The book delves into case studies and research demonstrating AI's effectiveness in improving test accuracy through automated performance tracking and personalized feedback. It highlights AI's role in optimizing exams for enhanced validity and reliability.
The book also acknowledges the necessity for careful validation to prevent biases and addresses ethical considerations in data privacy and student monitoring. It progresses from foundational AI concepts to practical applications across educational settings.
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AI testing