Application of Natural Language Processing for Information Retrieval

This chapter explores the practical applications and effective methods of integrating artificial intelligence (AI) into various educational settings. It examines how educational institutions, ranging from K-12 to higher education, have successfully utilized AI to enhance teaching methods, strategies, and learning outcomes through the presentation of compelling case studies. In addition to theoretical frameworks, the chapter offers practical insights into the challenges faced, strategies employed, and lessons learned during the implementation of AI-enhanced teaching approaches. The adoption of AI in education can facilitate personalized learning journeys by tailoring instruction, materials, pacing, and resources to individual learners' needs and preferences. It also enables adaptive assessments and feedback systems that provide real-time feedback, identify areas for improvement, and contribute to more nuanced grading systems. The chapter highlights examples of AI-powered platforms, such as adaptive learning platforms, intelligent tutoring systems, smart content recommendation systems, and gamified learning paths, illustrating their effectiveness in meeting the unique requirements of students and promoting engagement and mastery. Furthermore, it discusses the importance of immediate and targeted feedback and individualized content structuring in adaptive learning environments. The chapter also explores AI-assessment tools, real-time feedback systems, learning analytics dashboards, and peer learning facilitation platforms as valuable resources for educators. By leveraging AI technologies, educational institutions can transform teaching and learning practices, promote personalized and adaptive learning, and ensure the alignment of AI-based systems with human values.

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Application of Natural Language Processing for Information Retrieval

Cited by 3 publications

References 9 publications

Arabic information retrieval: Stemming or lemmatization?

Arabic information retrieval: Stemming or lemmatization?

Developing and performance evaluation of a new Arabic heavy/light stemmer

Navigating AI Integration

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