The Design of Learning Material for Poor Comprehenders: Lessons Learnt from Experts | Zendy

Vincenza Cofini | Zendy; Fernando De la Prieta | Zendy; Tania Di Mascio | Zendy; Rosella Gennari | Zendy; Ivana Marenzi | Zendy; Pierpaolo Vittorini | Zendy

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The Design of Learning Material for Poor Comprehenders: Lessons Learnt from Experts

Author(s) -

Vincenza Cofini,

Fernando De la Prieta,

Tania Di Mascio,

Rosella Gennari,

Ivana Marenzi,

Pierpaolo Vittorini

Publication year - 2013

Publication title -

jurnal teknologi

Language(s) - English

Resource type - Journals

eISSN - 2180-3722

pISSN - 0127-9696

DOI - 10.11113/jt.v63.1953

Subject(s) - comprehension , domain (mathematical analysis) , computer science , context (archaeology) , reading comprehension , information and communications technology , reading (process) , focus (optics) , mathematics education , multimedia , human–computer interaction , artificial intelligence , psychology , world wide web , linguistics , mathematics , mathematical analysis , paleontology , philosophy , physics , optics , biology , programming language

TERENCE is an FP7 ICT European project that is developing an adaptive learning system for poor comprehenders and their educators. The learning material is made of stories and smart games for stimulating reading comprehension. The design of stories and smart games is also based on data collected from experts for the analysis of the context of use of the system, and is incrementally revised via evaluations of prototypes of stories and games, with domain experts of text comprehension or education as participants. In particular, since smart games are semi-automatically generated via artificial intelligence technologies, they contain mistakes that have to be fixed by experts of pedagogy before the games are given to learners. In this paper we focus on the design and evaluations of the TERENCE stories and smart games for poor comprehenders via lessons learnt with domain experts.

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