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Title:
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON UNIVERSITY MAJOR SELECTION

Authors:
Chukri Akhras and Nazareth Nicolian, Lebanon

Abstract:
This research investigation assesses how Artificial Intelligence (AI) influences the decision-making processes of university students in selecting both their field of study and major. With the advancements in AI technology, the field of education has also seen the integration of AI-driven tools and systems designed to assist students in making informed decisions about their academic and career paths. This study aims to explore how recommendation systems, personalized career guidance and data-driven insights influenced by AI impact students’ decision making. In conducting this research, we employ a multifaceted approach, gathering data through surveys, and a thorough analysis of the extant literature. By immersing ourselves in students' experiences and perspectives, our primary goal is to gain insights into the effectiveness of AI in enhancing decision-making processes. Our aim extends to explore both the advantages and challenges linked to the utilization of AI, while also gauging its influence on students' overall satisfaction and confidence in their chosen majors. Furthermore, our research examines the considerations surrounding the use of AI in decision- making while also investigating biases that may arise within AI algorithms. By addressing these concerns, our study strives to provide insights and recommendations for enhancing AI systems and ensuring fair and transparent decision-making processes for students. The outcomes of this study will enhance our comprehension of the intersection between AI and education. Offering valuable insights for educators, policymakers, and AI developers, it seeks to elucidate the effective utilization of AI in aiding students' decision-making processes related to their majors. This, in consequence, elevates the success rate, engagement levels, and overall satisfaction of students throughout their academic journeys.

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(Nov, 2018) of IJBMER Invite Research Article/Manuscript .