Accéder directement au contenu Accéder directement à la navigation
Chapitre d'ouvrage

A Composition Approach to Design of Educational Animations

Abstract : The educational effectiveness of conventionally designed animations that portray complex, unfamiliar subject matter in a behaviorally realistic fashion too often falls well short of expectations. Previous research indicates that the veridical dynamic properties of these comprehensive animations make a major contribution to their lack of effectiveness. Due to these dynamics, there is a substantial mismatch between the processing demands these animations impose on learners and the characteristics of the human information processing system. As a result, the quality of the mental models that learners are able to construct is compromised. Interventions intended to improve learners’ processing of such animations have met with only limited success. This chapter argues that substantial gains in the educational effectiveness of animations will require a fundamental change in the assumptions underlying how they are designed. An alternative design approach based on the Animation Processing Model (APM) is outlined that aims to facilitate the learner’s composition of an internal representation by adopting a different perspective on the characteristics of the animation as an external representation. This Composition Approach presents learners with information in an incremental, cumulative manner that is better matched with their processing capacities. The practical application of this approach is illustrated and implications for future research are canvassed.
Type de document :
Chapitre d'ouvrage
Liste complète des métadonnées
Contributeur : LEAD - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : mercredi 23 mai 2018 - 16:09:28
Dernière modification le : mardi 16 février 2021 - 10:10:09




Richard K Lowe, Jean-Michel Boucheix. A Composition Approach to Design of Educational Animations. Richard Lowe, Rolf Ploetzner. Learning from Dynamic Visualization: Innovations in Research and Application, Springer International Publishing, pp.5-30, 2017, 978-3-319-56202-5. ⟨10.1007/978-3-319-56204-9⟩. ⟨hal-01798577⟩



Consultations de la notice