In humans, over billions of years, this inherent capacity to learn from experiences has been honed to a degree where much of learning has been condensed into readymade knowledge and fed to learners, under different environments – at home, in a classroom and in a workshop. This is with the assumption that the process of learning will be similar among individuals whether instructed through one-on-one interactions or in groups.
While one could expect that this assumption may not necessarily hold true for individuals separated by age, ethnicity, social and economic background and other such factors, the reality is that learning is an extremely unique activity, akin to fingerprints. No one size fits all, however similar two individuals may be (even in case of identical twins who are genetically similar and have access to same resources, one may learn maths, while the other may play football).
What is more, learning is not a static phenomenon. It is a continuous one. Therefore, as civilizations evolve and confront newer challenges and discover newer solutions to adapt, the need to redefine the learning-capsule, the learning-environment, the learner and the teacher arises.
The ‘Science of Learning’ assesses and codifies large-scale data to generate new insights about how we learn using advanced techniques and intelligent technologies.
This science of how humans learn draws on resources from diverse areas such as cognitive sciences, psychology, neuroscience, education, pedagogy and instructional design, linguistics, psychometrics and computational science. By building a better understanding of the processes of learning, the Science of Learning will pave the way for better learning for all.
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