Personalized Learning through Edu-Technology:
1: As a young physicist studying condensed matter using Quantum Physics, I was often asked “How does such fundamental scientific knowledge help Mr TC MITS, the celebrated man in the street?”. At that stage I did not have a ready answer although I could expand on the importance of Basic Scientific research, as has been done by Alex Flexner in “ The usefulness of useless knowledge “ ( https://youtu.be/zN0Aps_iJdw)
Today this question has a very compelling and visible answer. The ubiquitous GPS helps Mr TC MITS be on the right street because of atomic clocks and Einstein’s theory of General Relativity.
In the educational context, we have two very ambitious targets before us : aspirations of the NEP 2020 and targets of SDG Goal 4, and they require the personalisation of learning accessible to billions of people, perhaps through a mobile learning device much like the GPS of physical space, helps a learner navigate the journey through ‘learning space’ from their initial position to the desired position.
2: Benjamin Bloom, the well known educationist had in a 1984 research paper, ( https://en.wikipedia.org/wiki/Bloom’s_2_sigma_problem?wprov=sfti1 ) formulated the 2 sigma problem. Clayton Christensen had clarified that the disruption in education will be the personalisation of the learning experience. Broadcast technologies such as MOOCs do not personalise learning. Personalized learning has long been a “holy grail” in education. Ideally, we would love to be able to work with each student to achieve a more personalized level of learning that taps into individual interests, skills and desires. M.M. Pant, “Experiment with self–paced instruction in undergraduate Physics”, J. of Phys. Education, 3, 1 (1975).
3: We may soon be witnessing predigital educational technology, from Sidney Pressey’s mechanized positive-reinforcement provider to B. F. Skinner’s behaviorist bell-ringing box ( https://www.nea.orgstrategiesadvocating-for-change/new-from-nea/far-reaching-legacy-first-teaching-machines ) evolve to a new teacherless personalised learning environment ” mobile first, wearable next” with wireless Internet and personalised flipped, blended and other ‘active learning’ strategies espoused by the Physics Nobel Laureate and the Stanford educationist Carl Weiman (https://www.nature.com/articles/d42473-019-00339-6).
4: But technology alone does not lead to personalisation. The uniqueness of each learner, the neurodiversity ( Review: neurodiversity in education in 2022 – Ayoa Blog ) , neuroplasticity (What is Neuroplasticity & How Does It Impact Education? (Infographic) and neurogenesis ( IBE — Science of learning portal — Neurogenesis, learning, and memory ) coherently deployed will help in achieving the goal of a personalised learning experience for everyone. Neuroscience and AI are the future of education : https://youtu.be/_cYIvfS-knA . The drivers of the 5th education revolution.
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