Enhancing Accessibility to Analytics Courses in Higher Education through AI, Simulation, and e-Collaborative Tools.

Autor: Osorio, Celia1 (AUTHOR) cosomuo@epsa.upv.es, Fuster, Noelia1 (AUTHOR), Chen, Wenwen1 (AUTHOR), Men, Yangchongyi1 (AUTHOR), Juan, Angel A.1 (AUTHOR) ajuanp@upv.es
Předmět:
Zdroj: Information (2078-2489). Aug2024, Vol. 15 Issue 8, p430. 21p.
Abstrakt: This paper explores how the combination of artificial intelligence, simulation, and e-collaborative (AISEC) tools can support accessibility in analytics courses within higher education. In the era of online and blended learning, addressing the diverse needs of students with varying linguistic backgrounds and analytical proficiencies poses a significant challenge. This paper discusses how the combination of AISEC tools can contribute to mitigating barriers to accessibility for students undertaking analytics courses. Through a comprehensive review of existing literature and empirical insights from practical implementations, this paper shows the synergistic benefits of using AISEC tools for facilitating interactive engagement in analytics courses. Furthermore, the manuscript outlines practical strategies and best practices derived from real-world experiences carried out in different universities in Spain, Ireland, and Portugal. [ABSTRACT FROM AUTHOR]
Databáze: Library, Information Science & Technology Abstracts
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje