Reading materials outside the required curriculum to further one's education and personal growth is known as enrichment reading. It improves comprehension, hones cognitive abilities, and cultivates a passion for lifelong learning.
"Use of Artificial Intelligence in Education"
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It discusses how AI is revolutionizing education by enabling tailored and flexible learning environments. It draws attention to how AI has developed from rule-based to sophisticated, context-driven systems, especially in emerging nations like India. The study gives examples of AI applications, including curricula driven by AI, remote proctoring, and adaptive assessments.
"AI in Education: Personalized Learning and Adaptive Assessment"
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The study investigates how AI enhances learning results and engagement by personalizing educational content to each student's unique needs and talents. It discusses adaptive exams, which provide more accurate evaluations by adjusting in real time to student achievement.
"AI-Driven Learning Analytics for Personalized Feedback and Assessment in Higher Education"
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It investigates how AI and learning analytics are revolutionizing education. It illustrates how AI may offer adaptive exams and individualized feedback based on each student's unique skills and limitations.
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"AI In Education: The Potential Impact of Intelligent Tutoring Systems and Personalized Learning"
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This study examines how intelligent tutoring systems (ITS) use AI to change education. It demonstrates how ITS may lower expenses while improving student achievement by developing customized learning plans that are suited to each individual student's requirements.
"AI technologies for education: Recent research & future directions"
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This paper reviews empirical research on artificial intelligence (AI) in education from 1993 to 2020. It highlights AI's advantages, including dynamic assessments and individualized learning. However, it points out a disconnect between AI advancements and their actual application in learning environments, highlighting the necessity of further multidisciplinary research and cooperation.
What did I learn?
"Artificial Intelligence: A Comprehensive Exploration of Concepts, Applications, and Ethical Considerations"
I studied AI's fundamental ideas and historical development, including significant turning points. The paper addressed computer vision, natural language processing technologies, and various machine learning approaches and their uses. It emphasized ethical issues like bias and transparency while highlighting AI's role in robotics and automation.