PriMera Scientific Engineering (ISSN: 2834-2550)

Review Article

Volume 4 Issue 5

Encouraging Trust in Ai-Powered Teaching Tools: Ranking Design Principles

Hani Alers* and Aleksandra Malinowska

April 26, 2024


The advent of Artificial Intelligence (AI) in education promises transformative changes, but its effective adoption relies on the establishment of trust. Drawing from various scientific articles, this study identified seven design principles that influence students' trust towards AI-powered teaching tools. These principles are "Privacy", "Intelligence," "Fairness", "Controllability", "Engagement", "Transparency", and "Friendliness". A quantitative survey, involving students from the Hague University of Applied Sciences, was employed to rank these principles based on their perceived importance. The results revealed students find all principles important except for “friendliness”. Gender-based analysis indicated females' pronounced emphasis on "Fairness", "Friendliness" and “engagement” compared to males. Further analysis revealed students in ICT related fields value “Privacy” significantly more than their non-ICT related counterparts and “fairness” significantly less.

Keywords: Trust; Encourage trust; AI; Education; Design principle; Chatbot


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