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Question Engineering: Learning Approach in the Age of Artificial Intelligence

المصدر: مجلة آفاق للعلوم
الناشر: جامعة زيان عاشور الجلفة
المؤلف الرئيسي: Kheloufi, Soufyane (Author)
المجلد/العدد: مج9, ع1
محكمة: نعم
الدولة: الجزائر
التاريخ الميلادي: 2024
الصفحات: 204 - 227
DOI: 10.37167/1677-009-001-014
ISSN: 2507-7228
رقم MD: 1446065
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, EcoLink, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Question Geometry | Artificial Intelligence | Critical Thinking | Learning Approach | Education
رابط المحتوى:
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المستخلص: This essay explores integrating artificial intelligence (AI) in education, focusing on the concept of question engineering as a robust learning approach. It emphasizes the importance of questioning and critical thinking in the learning process. Question engineering is, in line, with the principles of Blooms Taxonomy. Encourages the development of higher order thinking abilities. The essay discusses the impact of (AI) on question engineering, including (AI) technologies in education and the benefits they bring, such as automated feedback, adaptive questioning, and data-driven insights. It also examines how question engineering combined with (AI) can enhance critical thinking by developing skills, promoting met cognition and generating tailored questions. The essay addresses challenges and ethical considerations, such as overreliance on (AI), and the need in human guidance. Strategies in implementing question engineering with (AI) in education are discussed, including training educators and fostering collaboration. The essay concludes by discussing future implications and the importance of a balanced approach that combines (AI) and human expertise in transforming the learning approach.

ISSN: 2507-7228

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