Improving Student Assessment With Emerging AI Tools

Traditional assessment methods often struggle to provide a comprehensive view of student understanding and capabilities, leading to a one-size-fits-all approach. However, AI-driven tools offer personalized, adaptive assessments that can adjust to individual learning styles and paces. These technologies can analyze vast amounts of data to identify trends, learning gaps, and specific areas where students may need additional support. By harnessing AI for assessments, educators gain real-time insights, enabling them to tailor instruction and provide targeted feedback. AI can streamline administrative tasks, allowing teachers to focus on fostering meaningful learning experiences. Further exploration into these tools may enhance the assessment landscape, making it more dynamic, inclusive, and effective for diverse learners. Improving Student Assessment With Emerging AI Tools explores the positive effects of AI tools on educational assessments. The impact of intelligent technology on automated grading, teaching, and learning is examined. This book covers topics such as learning styles, personalized learning, and teacher training, and is a useful resource for academicians, educators, computer engineers, data scientists, and researchers.