The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 29-120
Full Name: Harri Ketamo
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Tiedepuisto 3
Country: FINLAND
Tel: +358 44 710 3803
Tel prefix: +358
Fax:
E-mail address: harri.ketamo@samk.fi
Other E-mails:
Title of the Paper: Semantic networks -based teachable agents in an educational game
Authors as they appear in the Paper: Harri Ketamo
Email addresses of all the authors: harri.ketamo@samk.fi
Number of paper pages: 10
Abstract: The aim of the study was to apply teachable agents into educational game meant for children less than 12 years of age and evaluate the outcome in context of cognitive psychology of learning. The study was done in two phases: design phase and evaluation phase (N=300). The design of the game was done in order to support relatively free use of teachable agents in an easy-to-use environment. The main findings of the study were a clear causality between quality of the taught semantic networks in game world and players' knowledge in real life and an evidence that learning away is an important feature when trying to enable conceptual change in educational games.
Keywords: Game AI, Reinforcement learning, Conceptual learning, Semantic networks, Serious games
EXTENSION of the file: .pdf
Special (Invited) Session: Teachable characters: Semantic neural networks in game AI
Organizer of the Session: 609-487
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IP ADDRESS: 213.186.251.196
