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Initial results on personalizing explanations of AI hints in an ITS

Published: 22 June 2024 Publication History

Abstract

Previous research on an Intelligent Tutoring System (referred to as ACSP), showed the need to personalize explanations of its AI-driven hints for users with low Need for Cognition (N4C) and low Conscientiousness (Cons.). Specifically, this work found that explanations should be provided to these users with the objective of increasing user interaction with them. In this paper, we present and evaluate design alterations to the original ACSP explanation interface aimed at achieving this objective. Our results provide initial evidence that the implemented personalization, in the form of the design alterations, had a positive impact on users with low N4C and Cons., by increasing attention to explanations and contributing to learning gains.

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cover image ACM Conferences
UMAP '24: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
June 2024
338 pages
ISBN:9798400704338
DOI:10.1145/3627043
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Published: 22 June 2024

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  1. Explainable Artificial Intelligence (XAI)
  2. Intelligent Tutoring System
  3. Personalization

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