The Contribution of Numerical EEG Analysis for the Study and Understanding of Addictions with Substances

Mengad, Aziz; Dirkaoui, Jamal; Ertel, Merouane; Chakkouch, Meryem; Elomari, Fatima

doi:10.14569/ijacsa.2023.0140534

Cited by 1 publication

(1 citation statement)

References 38 publications

(109 reference statements)

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“…Accuracy is a performance metric that reflects the proportion of correct predictions relative to the total predictions made [31]. It is determined by dividing the total number of accurately classified instances by the overall number of instances considered [32]. Accuracy serves as an indicator of the percentage of instances correctly classified by the model [24].…”

Section: ) Classification Methodsmentioning

confidence: 99%

Predicting Optimal Learning Approaches for Nursing Students in Morocco

Fadili,

Ertel,

Mengad

et al. 2024

IJACSA

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In nursing education, recognizing and accommodating diverse learning styles is imperative for the development of effective educational programs and the success of nursing students. This article addresses the crucial challenge of classifying the learning styles of nursing students in Morocco, where contextual studies are limited. To address this research gap, a contextual approach is proposed, aiming to develop a predictive model of the most appropriate learning approach (observational, experiential, reflective and active) for each nursing student in Morocco. This model incorporates a comprehensive set of variables such as age, gender, education, work experience, preferred learning strategies, engagement in social activities, attitudes toward failure, and self-assessment preferences. We used four multivariate machine learning algorithms, namely SVM, Tree, Neural Network, and Naive Bayes, to determine the most reliable and effective classifiers. The results show that neural network and decision tree classifiers are particularly powerful in predicting the most suitable learning approach for each nursing student. This research endeavors to enhance the success of nursing students and raise the overall quality of healthcare delivery in the country by tailoring educational programs to match individual learning styles.

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Section: ) Classification Methodsmentioning

confidence: 99%