Little Plaza offers a wide range of activities, including dancing, music, arts, literature, Maths challenges, and Science experimentations. We want to create an environment where children can explore and find their interests with their parents to create memorable experiences and more conversational dinner topics.
We previously introduced Piaget's model of children’s cognitive development and Sperry's left-right brain function model. In this post, we will discuss how we put the information in our heads and how we learn. The Science of Learning has inspired machine learning algorithms with neural networks based on the structure and functions of the brain*. Machine learning is broadly divided into supervised, unsupervised learning, a combination of the two, and reinforcement learning.
Unsupervised learning and supervised learning are exactly what the words suggest. For example in our art sessions, Little Plaza provides the art materials and a calm atmosphere with soft background music (the unsupervised part). Dee provides her unique mindful style to guide the session (the supervised part), we combine the two and hope the child and parent/s will enjoy the rewarding experience together and create memories (the reinforcement learning part).
We can avoid common pitfalls of that particular model. For example, we can avoid the environment being too unstructured, which will prevent the session from progressing smoothly. We can also avoid giving too many detailed instructions, which will result in overfitting in machine learning terms and stifle creativity. Little Plaza focused on creating a calm and mindful environment and concise instructions for the little ones to explore possible new interests.
In summary, we focus on creating calm and mindful surroundings (unsupervised learning), providing basic or minimal instructions (supervised learning), and letting the children and parents enjoy the activities (reinforcement learning). The Science of Learning at Little Plaza, it's just growing.
*Post inspired by Hosoda Lab, Osaka University, where they use robotic platforms (artificial model) to investigate the complex human musculoskeletal system (biological counterpart), like the reflex in our joints. The biological counterpart can be too complex to understand while an artificial model can provide some explanation. In this case, we compare the process of learning to training artificial neural network models. Learning Japanese has the potential to enhance the experience of living in Japan, such as studying at Osaka University.
As members of our Little Club, you'll enjoy the benefit of four free sessions each month. These sessions offer a variety of activities for your little ones to enjoy. Additionally, you'll receive four Parent Co-Working Day Passes. These passes are perfect for parents seeking a co-working space that accommodates their need to bring their kids along while they work. It's an opportunity for your little ones to engage socially while you take care of business, all in one convenient location.
And find out more benefits of being our members!
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