Massive Open Online Courses (MOOCs) rather than standardize and make impersonal the learning experience, as one might superficially believe, represent an extraordinary context to validate original personalized learning strategies. The tracking of interactions produced by massive learning communities enables the crowdsourcing and offers new features based on models of probabilistic analysis. These perspectives are analyzed through functionalities and trials in two of the most important MOOCs providers: Khan Academy and Coursera.
Massification and personalization, the apparent antinomy of the MOOCs
CECCHINATO, GRAZIANO
2013
Abstract
Massive Open Online Courses (MOOCs) rather than standardize and make impersonal the learning experience, as one might superficially believe, represent an extraordinary context to validate original personalized learning strategies. The tracking of interactions produced by massive learning communities enables the crowdsourcing and offers new features based on models of probabilistic analysis. These perspectives are analyzed through functionalities and trials in two of the most important MOOCs providers: Khan Academy and Coursera.File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
