Recently, advances in technology and learning methods have allowed the development of new training practices within the workplace. This was made possible, in particular, by digital-learning, which allowed trainers and users to share knowledge in any place and time. Furthermore, digitallearning has made it possible to give rise to more economical, practical, and realistic training addressing many people at the same time. The possibilities offered by digital-learning have also been explored by neuroscience, interested in applying neuroscientific models of learning and cognition to implement increasingly effective and useful e-learning programs. In addition, the contribution of neuroscience in improving digital-learning also includes the possible use of neuroscientific techniques for the assessment and monitoring of learning outcome and quality. This, therefore, leads to an increasingly deepening of the investigation of neuroscientific methods and techniques that could be useful for improving the digital-learning field.
Crivelli, D., Balconi, M., Digital-learning for organization: Insights from cognitive neuroscience, in Balconi, M. (ed.), Neuromanagement: Neuroscience for Organizations, Nova Science Publishers, Inc., New York 2021: 147- 162 [http://hdl.handle.net/10807/196164]
Digital-learning for organization: Insights from cognitive neuroscience
Crivelli, Davide
;Balconi, Michela
2021
Abstract
Recently, advances in technology and learning methods have allowed the development of new training practices within the workplace. This was made possible, in particular, by digital-learning, which allowed trainers and users to share knowledge in any place and time. Furthermore, digitallearning has made it possible to give rise to more economical, practical, and realistic training addressing many people at the same time. The possibilities offered by digital-learning have also been explored by neuroscience, interested in applying neuroscientific models of learning and cognition to implement increasingly effective and useful e-learning programs. In addition, the contribution of neuroscience in improving digital-learning also includes the possible use of neuroscientific techniques for the assessment and monitoring of learning outcome and quality. This, therefore, leads to an increasingly deepening of the investigation of neuroscientific methods and techniques that could be useful for improving the digital-learning field.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.