| Autor: |
T. D., Praveen Kumar, K., Kalyani, Roopa, D., Uma Maheswari, M., Vandana |
| Zdroj: |
Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p9423-9428, 6p |
| Abstrakt: |
This research investigates the impact of adaptive learning techniques on student academic performance in e-learning environments. Three different methods--personalized learning paths, interactive quizzes with realtime feedback, and AI-driven content recommendations--were implemented in three groups of undergraduate students. Each group participated in a four-week learning intervention. Post-test results indicated significant improvements across all groups, with personalized learning paths showing the highest gains in academic achievement, followed by interactive quizzes and AI-driven content recommendations. These findings suggest that adaptive learning methods, particularly personalized learning, can play a crucial role in optimizing online education outcomes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
