October 2, 2025

Mining for Success: Personalized Learning Paths through Educational Data Analysis

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Authors

DSDelima SitanggangUniversitas Prima Indonesia RSRijois I. E. SaragihUniversitas Methodist Indonesia

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Implication

This research demonstrates improved academic performance in students through personalized learning paths, highlighting data mining's role in education.

Key Points

Tailoring educational experiences improves academic performance and engagement, compared to traditional methods.
Data analysis of diverse student datasets reveals significant insights into learning preferences and strengths.
Educational data mining techniques are effective for creating personalized learning paths in various educational settings.
Ethical considerations about data privacy are systematically addressed to ensure responsible use of mined information.

Cite This Study

Sitanggang et al. (2023) studied this question.

synapsesocial.com/papers/68de70f583cbc991d0a234ef https://doi.org/10.63322/dk592976

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Implication

This research demonstrates improved academic performance in students through personalized learning paths, highlighting data mining's role in education.

Mining for Success: Personalized Learning Paths through Educational Data Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Mining for Success: Personalized Learning Paths through Educational Data Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider