AI, MEMORIZATION, AND FORGETTING: A CRITICAL ANALYSIS THROUGH THE LENS OF THE EBBINGHAUS CURVE

This study critically examines the role of artificial intelligence (AI) in enhancing memorization and reducing forgetting, through the lens of Ebbinghaus' Forgetting Curve. By analyzing AI tools like Anki and Duolingo, it explores how spaced repetition and adaptive learning technologies optimize memory retention compared to traditional methods. A comprehensive literature review and comparative analysis highlight the effectiveness of these tools in personalizing learning experiences. The study also delves into emerging trends such as neuroscience-inspired algorithms and real-time adaptive technologies, addressing challenges like accessibility and cognitive overload. Key findings suggest that AI-driven approaches offer notable improvements in memory retention over traditional techniques. The study concludes with practical strategies for integrating AI in educational contexts, advocating for a balanced approach to technology-enhanced learning.

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Publication Details

Journal
International Education and Research Journal
Published
2024-09-15
DOI
https://doi.org/10.21276/ierj24719743498678
Citations
1
Primary Topic
Philosophy, History, and Historiography
Type
article
Field-Weighted Citation Impact
10.36
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article

AI, MEMORIZATION, AND FORGETTING: A CRITICAL ANALYSIS THROUGH THE LENS OF THE EBBINGHAUS CURVE

Magdeline Singh
1 citations
International Education and Research Journal
Philosophy, History, and Historiography
10.36
article

AI, MEMORIZATION, AND FORGETTING: A CRITICAL ANALYSIS THROUGH THE LENS OF THE EBBINGHAUS CURVE

Magdeline Singh
article en
1 citations

Abstract

This study critically examines the role of artificial intelligence (AI) in enhancing memorization and reducing forgetting, through the lens of Ebbinghaus' Forgetting Curve. By analyzing AI tools like Anki and Duolingo, it explores how spaced repetition and adaptive learning technologies optimize memory retention compared to traditional methods. A comprehensive literature review and comparative analysis highlight the effectiveness of these tools in personalizing learning experiences. The study also delves into emerging trends such as neuroscience-inspired algorithms and real-time adaptive technologies, addressing challenges like accessibility and cognitive overload. Key findings suggest that AI-driven approaches offer notable improvements in memory retention over traditional techniques. The study concludes with practical strategies for integrating AI in educational contexts, advocating for a balanced approach to technology-enhanced learning.

International Education and Research JournalVol. 10(9)
Women Medical College (PK)
Openalex Percentile: Top 2%
Philosophy, History, and Historiography
10.36
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