HIGHLIGHTS
SUMMARY
Researchers in the field of e-learning have thought of improving the efficiency of these systems by integrating the concept of adaptive learning. The technology of artificial_intelligence has shown its productivity for this type of problem through several works based on optimization algorithms such as genetic algorithm (GA), ant colony optimization (ACO), and particle swarm optimization (PSO). Pushpa presented an overview of the existing ACO approach toward providing a personalized learning path, to make the e-learning system more adaptable to the learners` needs. Priya et_al formulated a new approach to obtain a learning . . .
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