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Submitted: 04 September 2026 Posted: 07 September 2026 You are already at the latest version As AI increasingly supports human decision-making, designing clear and usable explanations has become a key challenge. Explainable Artificial Intelligence (XAI) aims to address this challenge, yet it remains unclear which explanation characteristics contribute to effective human-AI interaction.
What is currently known about this topic? ○ Intelligent Tutoring Systems (ITSs) provide personalised and adaptive feedback. ○ Well-designed ITSs positively influence learning outcomes. ○ It is beneficial to place stakeholders at the centre of the design. ○ However, students are rarely involved in design and teachers are often neglected in evaluations. ○ Service design incorporates multiple stakeholders and the tool's context. What does this paper add?
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