Details
| Original language | English |
|---|---|
| Pages (from-to) | 45-51 |
| Number of pages | 7 |
| Journal | Jurnal Teknologi (Sciences and Engineering) |
| Volume | 63 |
| Issue number | 3 |
| Publication status | Published - Aug 2013 |
Abstract
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.
Keywords
- Adaptive learning system, Artificial intelligence, Evidence based design, Heuristics, Serious games, User centred design
ASJC Scopus subject areas
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In: Jurnal Teknologi (Sciences and Engineering), Vol. 63, No. 3, 08.2013, p. 45-51.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The design of learning material for poor comprehenders
T2 - Lessons learnt from experts
AU - Cofini, Vincenza
AU - De la Prieta, Fernando
AU - Di Mascio, Tania
AU - Gennari, Rosella
AU - Marenzi, Ivana
AU - Vittorini, Pierpaolo
PY - 2013/8
Y1 - 2013/8
N2 - 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.
AB - 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.
KW - Adaptive learning system
KW - Artificial intelligence
KW - Evidence based design
KW - Heuristics
KW - Serious games
KW - User centred design
UR - http://www.scopus.com/inward/record.url?scp=84881064285&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84881064285
VL - 63
SP - 45
EP - 51
JO - Jurnal Teknologi (Sciences and Engineering)
JF - Jurnal Teknologi (Sciences and Engineering)
SN - 0127-9696
IS - 3
ER -