Molnar, A;
Kostkova, P;
(2015)
Learning through interactive digital narratives.
In: Koenitz, H and Ferri, G and Haahr, M and Sezen, D and Sezen, TI, (eds.)
Interactive Digital Narrative: History, Theory and Practice.
(pp. 200-210).
Routledge: Abingdon, UK.
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Abstract
One of the most effective ways of conveying information and learning is through storytelling and narratives. Thus, naturally, narratives have generated great interest and are being incorporated into educational computer games. Storytelling in educational games is used as a method for improving students' motivation and is considered an important component of learning. This chapter explores the research undertaken to integrate educational content into games that make use of narratives. It examines how a predefined set of Learning Objectives (LOs) are integrated into an interactive detective story using the Storytelling for educAtional inteRventions (STAR) framework. The STAR framework proposes to have a sequence of puzzle and red herrings during which LOs are taught. The chapter then describes our approach to integrating the educational content in an interactive digital narrative (IDN) game. Finally, it presents the results of evaluating explicit knowledge acquisition through the gameplay of the Global Hamdwashing Day (GHD) game.
Type: | Book chapter |
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Title: | Learning through interactive digital narratives |
ISBN-13: | 9781138782396 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.routledge.com/Interactive-Digital-Narr... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10088993 |
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