A spectrum of algorithm animation systems has evolved for the teaching and learning of distributed algorithms. These have ranged from passive animation systems, which provide multiple prepared views of an algorithm¿s process for a learner to view, stop, pause, step through or rewind, through active simulation systems, which enable a learner to affect changes to the behavior of an algorithm during execution, to algorithm construction systems, which enable a learner to create an animation of an algorithm¿s behavior. However, these systems have failed to catch on in mainstream computer science education. This is because each system suffers from one or more shortcomings: lack of real time engagement with an algorithm¿s content, an under-developed model of pedagogy, time and effort required to build an algorithm simulation, and lack of evidence to support its pedagogical effectiveness. This book presents an algorithm animation system (FADA) which is designed to address the aforementioned challenges.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
A spectrum of algorithm animation systems has evolved for the teaching and learning of distributed algorithms. These have ranged from passive animation systems, which provide multiple prepared views of an algorithm¿s process for a learner to view, stop, pause, step through or rewind, through active simulation systems, which enable a learner to affect changes to the behavior of an algorithm during execution, to algorithm construction systems, which enable a learner to create an animation of an algorithm¿s behavior. However, these systems have failed to catch on in mainstream computer science education. This is because each system suffers from one or more shortcomings: lack of real time engagement with an algorithm¿s content, an under-developed model of pedagogy, time and effort required to build an algorithm simulation, and lack of evidence to support its pedagogical effectiveness. This book presents an algorithm animation system (FADA) which is designed to address the aforementioned challenges.
Fionnuala O¿Donnell is a Development Analyst at SkillSoft PLC, Ireland.She holds a Ph.D. in Computer Science from Trinity College Dublin, an M.Sc. in Interactive Multimedia Systems from Heriot Watt University Edinburgh and a B.Sc. in Psychology and Computer Science from The Queen¿s University of Belfast.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A spectrum of algorithm animation systems has evolvedfor the teaching and learning of distributedalgorithms. These have ranged from passive animationsystems, which provide multiple prepared views of analgorithm s process for a learner to view, stop,pause, step through or rewind, through activesimulation systems, which enable a learner to affectchanges to the behavior of an algorithm duringexecution, to algorithm construction systems, whichenable a learner to create an animation of analgorithm s behavior. However, these systems havefailed to catch on in mainstream computer scienceeducation. This is because each system suffers fromone or more shortcomings: lack of real timeengagement with an algorithm s content, anunder-developed model of pedagogy, time and effortrequired to build an algorithm simulation, and lackof evidence to support its pedagogical effectiveness.This book presents an algorithm animation system(FADA) which is designed to address theaforementioned challenges. N° de réf. du vendeur 9783639122985
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