Ai, Memorization, and Forgetting: a Critical Analysis Through the Lens of the Ebbinghaus Curve
Year: 2024
Type: article
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.
Author: Magdeline Singh
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410468006