Learning to learn: a mechanism of generalised learning

ContributorsShibata, Kengo
Master program titleMaîtrise universitaire en neurosciences
Defense date2019

The benefits of training rarely extend beyond the learnt task. We investigate whether action video games can generalise its benefits to perceptual and cognitive tasks through an enhancement in learning rate. In direct replication of a preliminary investigation (Zhang et al., in preparation), we conducted a pre-registered study to investigate the process of “learning to learn”. This is a type of generalisation characterised by an increase in learning rate, distinct to generalisation leading to immediate benefits in a new task. We hypothesise that action video game training can modulate learning to learn through an attention-driven mechanism. Through hierarchical Bayesian modelling, we found action video game training to enhance learning rate in an unseen cognitive task, despite it having no effect on the learning rate of a perceptual task...

  • Transfer
  • Generalisation
  • Learning rate
  • Action video games
Citation (ISO format)
SHIBATA, Kengo. Learning to learn: a mechanism of generalised learning. 2019.
Main files (1)
Master thesis
  • PID : unige:136872

Technical informations

Creation06/11/2020 11:56:00 AM
First validation06/11/2020 11:56:00 AM
Update time03/15/2023 10:04:16 PM
Status update03/15/2023 10:04:16 PM
Last indexation01/29/2024 10:12:05 PM
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