INTEGRATION OF ARTIFICIAL INTELLIGENCE AND AGILE METHODOLOGIES IN HIGHER EDUCATION

Latinka Todoranova () and Bonimir Penchev ()
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Latinka Todoranova: University of Economics - Varna / Department of Informatics, Varna, Bulgaria
Bonimir Penchev: University of Economics - Varna / Department of Informatics, Varna, Bulgaria

Conferences of the department Informatics, 2024, issue 1, 142-148

Abstract: In the modern higher education environment, it is increasingly essential to integrate innovative teaching approaches that meet the demands of a technologically advanced society. Alongside agile methodologies such as Scrum, Kanban, and Agile, originally developed for project management in the software industry, the role of artificial intelligence (AI) in the educational process is also expanding. These approaches and technologies offer adaptive, outcome-oriented processes that can enhance both teaching and learning. This article aims to explore the applicability of agile methodologies and AI in higher education by analyzing their potential to foster independent learning, develop teamwork skills, and enrich students’ knowledge and competencies. The paper also examines the possibilities for implementing AI tools and agile practices in the learning process and their impact on improving teacher-student interaction. Examples of experiments are included to validate the applicability of these approaches in the educational environment.

Keywords: Learning Process; Artificial Intelligence; Agile Methodologies; Srum; Agile (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrn:katinf:y:2024:i:1:p:142-148

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