If we can accurately grasp the learning processes of various people, who are different in terms of ages, cognitive abilities, experiences, and knowledge, we would be able to provide them with precise and proper learning support. Building a platform that can provide such support would allow learners to go beyond the limits of conventional learning methods. The platform could promote recurrent education in the super-aged, shrinking society, thereby potentially increasing the working population as well as the mobility of human resources.

We have been engaged in the development of learning-support ICT that allows for efficient acquisition of skills by considering the characteristics of diverse people and their learning environments. Our efforts are based on learning analytics, an approach to improve education by analyzing and exploiting large-scale learning log data. In particular, we have explored a learning support system that can improve memory recall and increase the effectiveness of learning by using sensors as well as conventional learning log data. In addition, we have developed user interfaces for learning-support systems so that learners who are not familiar with personal computers, etc. can enjoy the benefits of learning-support systems as much as possible. Future learning-support platforms may activate social activities and co-creation of multi-generational groups when we expand the possibilities of learning beyond the acquisition of formal knowledge and towards the ones around informal and tacit knowledge.