MODEL OF A PERSONALISED E-LEARNING PROCESS BASED ON A DECISION TREE ALGORITHM
Journal: International Journal of Advanced Research (Vol.11, No. 11)Publication Date: 2023-11-15
Authors : Petey Kragbi Olivier Kone Tiemoman; Kanga Koffi;
Page : 371-382
Keywords : Personalized And Adaptive E-Learning Artificial Intelligence The Decision Tree Algorithm Input Component Learning Component Output Component;
Abstract
The supply and demand for training, having undergone a revolution, involves information and communication technologies including artificial intelligence. However, following training adapted to the evolution of the learners skills remains a challenge. Our study aims to provide a solution aimed at promoting a personalized online learning process. Our approach consisted of choosing a decision tree algorithm following a comparative study and developing an architecture based upstream on the evaluation of the learners knowledge. This architecture directs the learner, according to their performance, towards educational resources (documents, courses, sections, videos, etc.) or learning devices, in an iterative and incremental manner until the end of the learning process. The results obtained reside in the proposed model based on the gradient boosting algorithm adapted to the personalization of human learning. This model takes into account three essential components driven by artificial intelligence and covers an entire personalized learning process from checking prerequisites to the end of successful learning.
Other Latest Articles
- METAGENOMICS BASED MICROBIAL BIOPROSPECTING STUDIES AT SELECTED BEACHES OF MUMBAI
- TROUBLES PSYCHIQUES REVELANT UNE HYPOTHYROIDIE PROFONDE: A PROPOS DUN CAS
- UNDERSTANDING VACCINATION KNOWLEDGE, ATTITUDE, AND PERCEPTION AMONG WOMEN REGARDING IMMUNIZATION DURING PREGNANCY IN RIYADH, SAUDI ARABIA
- The use of Bamboo in construction: a sustainable alternative
- The economic and environmental effects of gold panning in a zone of armed conflict in the circle of Gao
Last modified: 2023-12-13 16:08:58