Abstract
Artificial Intelligence (AI) is transforming our society and deeply reshaping the education sector, particularly in fields such as data science and data visualization. These disciplines are experiencing a rapid revolution due to the vast amounts of data generated daily and AI’s robust capabilities in automating tasks, enhancing data quality, and improving predictive analytics, thus accelerating the growth and demand for data professionals. The approach to teaching in higher education must evolve and adapt to ensure students are effectively prepared to tackle real-world issues. This research focuses on understanding the nature of data science and data visualization, fields rapidly evolving in the AI digital era. The critical skills, tools, and methodologies students need to acquire to work efficiently and succeed professionally will be analyzed. Furthermore, this proposal addresses the critical challenge of disinformation, which according to the World Economic Forum (WEF), will be the main risk over the next two years, a concern that will remain valid throughout the coming decade. This study examines how institutions should educate students in the previously mentioned fields, providing them with capabilities to identify, analyze, and counteract disinformation. The research employs a qualitative, multi-method approach, including a comprehensive analysis of case studies, expert interviews, policy analysis, and technology evaluation. Finally, this paper provides recommendations to educators and industry leaders on how they should educate students to effectively address today’s global challenges in an AI-driven era.
Presenters
Raquel Cabero QuilesAcademic Director, IE School of Science and Technology, IE University, Spain
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ARTIFICIAL INTELLIGENCE, HIGHER EDUCATION, DATA SCIENCE, DATA VISUALIZATION, DISINFORMATION
