Artificial Intelligence In Helping People With Disabilities: Opportunities And Challenges

Radka Nacheva () and Maciej Czaplewski ()
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Radka Nacheva: University of Economics - Varna, Bulgaria
Maciej Czaplewski: Institute of Spatial Management and Socio-Economic Geography, University of Szczecin, Poland

HR and Technologies, 2024, issue 1, 102-124

Abstract: Artificial intelligence (AI) is revolutionizing teaching, learning, and administrative processes in higher education. AI-driven personalized learning platforms, virtual tutors, content creation tools, chatbots, and adaptive learning platforms offer tailored educational experiences, fostering student engagement and autonomy. These tools promote active learning, enhance instructional content, and provide round-the-clock assistance. However, the integration raises ethical concerns like data privacy, algorithmic bias, and the displacement of traditional teaching roles. Therefore, ethical guidelines and regulatory frameworks are crucial for responsible AI implementation in higher education settings. The application of AI holds the potential to change the teaching and learning landscape, foster innovation, and create a more inclusive and personalized educational experience. In this regard, the purpose of this paper is to analyse commonly used AI-powered tools in higher education which could be used to better the digital accessibility for people with disabilities. The objectives of this paper are related to the study of the features of Intelligent Tutoring Systems and AI-powered virtual tutors, as well as AI-driven chatbots and virtual assistants; to conduct a comparative analysis of AI chatbots to track the differences in their features that are important to better the accessibility. The research hypothesizes that texts generated with AI-powered tools need to improve readability. The accessibility or, more specifically, the readability of generated texts was checked with the OpenAI ChatGPT and Microsoft Copilot chatbots. Results are compared based on key readability metrics.

Keywords: artificial intelligence; higher education; learning experiences; text readability (search for similar items in EconPapers)
JEL-codes: C83 C88 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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