Artificial Intelligence: Tool for the Development of Research Skills in Higher Education Students

Lizbeth Suarez-Morales (), Luis Fernando Aguas-Bucheli, Dayron Rumbaut, Carlos Ruiz and Byron Machay
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Lizbeth Suarez-Morales: Universidad Bolivariana del Ecuador
Luis Fernando Aguas-Bucheli: Universidad de las Américas
Dayron Rumbaut: Universidad Bolivariana del Ecuador
Carlos Ruiz: Instituto Superior Tecnológico Vida Nueva
Byron Machay: Instituto Superior Tecnológico Vida Nueva

Chapter Chapter 10 in New Perspectives in Economics and Management, Vol 1, 2026, pp 143-156 from Springer

Abstract: Abstract Artificial Intelligence (AI) has made significant inroads across various sectors, including higher education. Its potential to transform learning and skill development is increasingly evident. This article explores the use of AI as a tool for developing research skills in higher education students. Additionally, it examines how AI systems can assist educators in identifying patterns in student performance and providing personalized feedback to enhance their pedagogical practices. On the other hand, it discusses how AI can optimize educational management by analyzing large amounts of data to identify trends and patterns that help school administrators make informed decisions. Despite its benefits, integrating AI into education raises significant ethical implications, such as concerns about student data privacy and the risk of algorithmic biases. Addressing these challenges requires interdisciplinary collaboration among educators, data scientists, and software developers. In conclusion, AI has the potential to transform education, but its effective implementation requires a careful and collaborative approach to ensure that its benefits are fully realized while addressing its ethical and practical challenges.

Keywords: Artificial intelligence; Higher education; Research skills; Scientific output (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-29260-5_10

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DOI: 10.1007/978-3-032-29260-5_10

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