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This entry explores the integration of artificial intelligence in educational assessments. By demystifying artificial intelligence, its subfields, and machine learning workflow, it aims to equip readers with foundational insights, ensuring that discussions around AI-driven policy are accessible, informed, and actionable. Using a dataset of true/false type questions as an illustrative example, the entry illustrates the machine learning workflow, from data acquisition to model deployment. The approach enhances clarity and engagement, making complex artificial intelligence and machine learning concepts comprehensible to a broad audience.

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Demystifying Artificial Intelligence Through a Hands-On Approach Using True/False-Type Educational Assessments

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Muhammad Adeel,
  • Saif Al Sultan

摘要

This entry explores the integration of artificial intelligence in educational assessments. By demystifying artificial intelligence, its subfields, and machine learning workflow, it aims to equip readers with foundational insights, ensuring that discussions around AI-driven policy are accessible, informed, and actionable. Using a dataset of true/false type questions as an illustrative example, the entry illustrates the machine learning workflow, from data acquisition to model deployment. The approach enhances clarity and engagement, making complex artificial intelligence and machine learning concepts comprehensible to a broad audience.