Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI
Maxwell Szymanski,
Jeroen Ooge,
Robin De Croon
et al.
Abstract:Recent advancements in Educational AI have focused on models for automatic question generation. Yet, these advancements face challenges: (1) their "black-box" nature limits transparency, thereby obscuring the decision-making process; and (2) their novelty sometimes causes inaccuracies due to limited feedback systems. Explainable AI (XAI) aims to address the first limitation by clarifying model decisions, while Interactive Machine Learning (IML) emphasises user feedback and model refinement. However, both XAI a… Show more
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