STELLARnet Podcast: TERENCE: Adaptive Learning System for Reasoning on Stories with Poor Comprehenders and their Educators

Ivana Marenzi interviews Rosella Gennari, the general scientific manager of the TERENCE project (http://terenceproject.eu). Nowadays, more and more young children ranging from the age of 7 to 11, turn out to be poor (text) comprehenders: they show text comprehension difficulties, related to inference-making skills, despite proficiency in word decoding and other low-level cognitive skills. Few adaptive learning systems consider specific inference-making interventions that are pivotal in text comprehension, but such systems are designed for high-school children or university-level students, and with textbooks as reading material but not for young pupils with special needs. TERENCE is a new 3-years European project which aims at offering innovative usability and evaluation guidelines, and delivering an intelligent adaptive learning system that can be used to custom-tailor such interventions in an adaptive fashion to (hearing and deaf) poor comprehenders.

TERENCE: Adaptive Learning System for Reasoning on Stories with Poor Comprehenders and their Educators
Ivana Marenzi interviews Rosella Gennari, the general scientific manager of the TERENCE project (http://terenceproject.eu)

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