Story Telling based Learning for Kids, Up to which age groups ? Think !

Young kids would love telling more stories and learn from story telling more than from drilling lectures. However, as children grow old, and maturity gains momentum, more mature subjects like to be studied in a way of seriousness career demand. So the answer to the fact that story telling and age up to which education should include story telling should be up to around 10th grade, maximum. At a specialization selection age, mature books tells students not only basics of professional competencies but also a part of career talks.

Adults can not explain the business gains in form of story telling or a chemistry experimental results in form of designing a puppet show. Yes, these things are good and logical for young brains to learn and should be included in curriculum of kinder garden and young kids. For they associate, teachers dressed in bright clothes teaching through the way of story telling in a much more relevant way that a lecture on plants told through mundane lessons.

Once the child grows, things should become as per his/her age, mature. As the child puts in more focus on his or her choice of specialization, more of multimedia lessons can be added in growing years. Obviously not many would like to waste time in stories, all time in each lecture. But yes, audio-video, occasional mixed with 4-D sessions, quick lessons are good. For growing kids have other more important things to do, watch movies, listen to songs, to know the world in the way they like and play!

Published by Nidhika

I have an eager research-based approach to solve problems in the various areas using my expertise in Artificial Intelligence, Computer Science and Mathematics. I find solutions based on my experience, research skills, strong knowledge and foundations in the subjects like Artificial Intelligence, Machine Learning, Data Mining, Optimization Techniques, Linear Algebra to mention a few. This is augmented by my high standard of coding skills which vary from C++, Java, Perl to Data Science languages such as Python, R and MATLAB. To further establish, it many of the my works have already been published online as research papers in well reputed journals. I have intense experience in Natural Language Processing applications such as summarization, search, retrieval, sentiment analysis, wordnet, deep learning. Having worked on real time implementations of various applications of Computer Science. The domains that I have worked on are Health Care System, Electronic Document Management Systems, Natural Text Mining, EDA, Web Development etc. Apart from profession, I have inherent interest in writing especially poems, stories, doing painting, cooking, photography, music to mention a few!

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