In this study, we delve into the multifaceted landscape of AI in education at Mohammed V University, providing a comprehensive roadmap to leverage its potential. As AI continues to evolve and integrate into educational systems, institutions must remain adaptable to meet the diverse needs of students while harnessing technology to create a more engaging and impactful learning environment. To address our central question, we use Multi-Criteria Decision Analysis by combining TOPSIS with PCA. This analysis reveals a significant demand for AI solutions bridging the gap between academic learning and real-world practical applications. Economically, this finding highlights a promising opportunity for stakeholders to develop and market AI tools and platforms focused on the development of practical skills, in harmony with the preferences of this specific market segment. Another aspect focuses on the personalization of the educational experience. At Mohammed V University, students embracing AI favor adaptive and personalized educational technologies tailored to their individual learning needs, thereby reducing disparities in available resources. This underscores a clear market interest in AI-based solutions offering customized learning experiences, ensuring that each learner’s unique needs are met. A third dimension involves a specialized technological niche in the education market. This niche presents a unique opportunity for institutions wishing to explore the technical aspects of AI in education, particularly in the context of Mohammed V University. This exploration has the potential to push the boundaries of what AI can bring to the field of education.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Potential of Artificial Intelligence in Education: A Practical Case Study at Mohammed V University – Rabat

  • Othmane Lamzihri,
  • Mohammed El Kamli,
  • Driss Mafamane,
  • Omar Hniche

摘要

In this study, we delve into the multifaceted landscape of AI in education at Mohammed V University, providing a comprehensive roadmap to leverage its potential. As AI continues to evolve and integrate into educational systems, institutions must remain adaptable to meet the diverse needs of students while harnessing technology to create a more engaging and impactful learning environment. To address our central question, we use Multi-Criteria Decision Analysis by combining TOPSIS with PCA. This analysis reveals a significant demand for AI solutions bridging the gap between academic learning and real-world practical applications. Economically, this finding highlights a promising opportunity for stakeholders to develop and market AI tools and platforms focused on the development of practical skills, in harmony with the preferences of this specific market segment. Another aspect focuses on the personalization of the educational experience. At Mohammed V University, students embracing AI favor adaptive and personalized educational technologies tailored to their individual learning needs, thereby reducing disparities in available resources. This underscores a clear market interest in AI-based solutions offering customized learning experiences, ensuring that each learner’s unique needs are met. A third dimension involves a specialized technological niche in the education market. This niche presents a unique opportunity for institutions wishing to explore the technical aspects of AI in education, particularly in the context of Mohammed V University. This exploration has the potential to push the boundaries of what AI can bring to the field of education.