为神经多样性学习者的独特需求定制AI驱动的阅读支架 / Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners
1️⃣ 一句话总结
这项研究发现,对于有特殊教育需求的学生,没有一种统一的阅读辅助方法(如分段文本或添加图标)能适合所有人,因此需要根据个人情况灵活调整,并设计能与人类协同工作的智能辅助系统。
Neurodiverse learners often require reading supports, yet increasing scaffold richness can sometimes overload attention and working memory rather than improve comprehension. Grounded in the Construction-Integration model and a contingent scaffolding perspective, we examine how structural versus semantic scaffolds shape comprehension and reading experience in a supervised inclusive context. Using an adapted reading interface, we compared four modalities: unmodified text, sentence-segmented text, segmented text with pictograms, and segmented text with pictograms plus keyword labels. In a within-subject pilot with 14 primary-school learners with special educational needs and disabilities, we measured reading comprehension using standardized questions and collected brief child- and therapist-reported experience measures alongside open-ended feedback. Results highlight heterogeneous responses as some learners showed patterns consistent with benefits from segmentation and pictograms, while others showed patterns consistent with increased coordination costs when visual scaffolds were introduced. Experience ratings showed limited differences between modalities, with some apparent effects linked to clinical complexity, particularly for perceived ease of understanding. Open-ended feedback of the learners frequently requested simpler wording and additional visual supports. These findings suggest that no single scaffold is universally optimal, reinforcing the need for calibrated, adjustable scaffolding and provide design implications for human-AI co-regulation in supervised inclusive reading contexts.
为神经多样性学习者的独特需求定制AI驱动的阅读支架 / Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners
这项研究发现,对于有特殊教育需求的学生,没有一种统一的阅读辅助方法(如分段文本或添加图标)能适合所有人,因此需要根据个人情况灵活调整,并设计能与人类协同工作的智能辅助系统。
源自 arXiv: 2603.28370