The aim of this work is to reflect on the optimal conditions necessary for plurilingual education. After a brief theoretical approach to bilingualism and plurilingualism, a practical family case is discussed, based on a longitudinal approach spanning three generations. The issue of bilingualism and hybrid language is addressed, with the harmful effects of linguistic hybridization due to a lack of a reference language. What do we observe in children living in a bilingual environment, from a language point of view? Is bilingual or trilingual education possible in all circumstances? What are the best conditions for a successful multilingual education? But what are also the conditions and pitfalls on the long road to a plurilingual education? We know that bilingualism, for example, can help children to develop their language skills, but we also need to set the course if we are to achieve our educational objective. There are two fundamental aspects to this: firstly, the assessment of what has been achieved in each language, in terms of bilingualism, throughout the school career, by means of school results; secondly, the assessment of the mother tongue or father tongue of reference, using the comparative method. This method has three parameters: vocabulary, semantics and morphosyntax. The Neel test by Chevrier-Müller, 2001 edition, was used for Turkish children aged 8;0 - 8;6, in order to highlight language difficulties. A longitudinal approach involving four children was used, as it enabled us to step back in time and assess the development of the four children... Is there a cocktail of success when it comes to plurilingual education? .

This research paper investigates the evolving role of Artificial Intelligence (AI) in project leadership, examining its capacity to enhance decision-making processes while also considering the potential for it to replace essential human intuition. The paper explores the integration of AI technologies within modern project management, drawing parallels with advancements such as Machine Learning in Earned Value Management. It addresses the central dilemma of whether AI primarily augments human capabilities or poses a risk to the nuanced, intuitive aspects of leadership. The paper is structured to first review traditional project leadership and the emergence of AI, then delve into how AI enhances decision-making through data-driven insights and automation. Subsequently, it critically assesses AI's limitations and the irreplaceable nature of human intuition, ethical judgment, and creativity. The discussion focuses on fostering a synergistic human-AI relationship, emphasizing human-centric AI design and addressing ethical implications. The paper concludes that AI serves as a powerful partner, augmenting rather than supplanting human leaders, and advocates for a balanced approach where technology enhances human potential to achieve optimal project success in an increasingly complex environment..