Does Smart Learning enough to Change?

Does Smart Learning enough to Change?
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In education, much of what goes wrong is simply hyped innovation — better ways to do the same thing. .The meaning of affecting the classroom is always more about offering better resources to a teacher than completely dispensing with the classroom Delivering tablets overloaded with text rather than paper-based books is a popular digital initiative that makes educators feel like innovating without changing anything.

The digital transformation model of substitution-augmentation-modification-redefinition (SAMR) is much appreciated, as it makes techno-shifts look gradual, linear and understandable. While most digital projects stalled at increase, the model gives the impression that you are on a road to success.

There is no threat to the fundamental design of the education cycle. If you want to be taken seriously in education it is strategically important not to challenge the status quo directly.

 

Gender roles and practices

There are strongly existing social and political gender roles and practices toward dealing with educational systems that have for decades been essentially unchallenged. It is also a truthful awareness that playing with the way you teach endangers the future of individual learners and their generation.

 But there's still no progress without innovation, or at best development is infinitesimally slow. When we enter the third decade of the 21st century, slow pace to adjust in any other area is existentially risky.

The gap between what technologies can do for us and what we can do for ourselves is growing and expanding at an accelerating rate, until it is extremely huge. Because human behavior is like that, we still look for the improved performance or heightened experience that tech makes possible.

People are caught up in the breathless rate of change in society, culture and trade. We are becoming increasingly technologically reliant, and increasingly ready for its next development.

 

Today is tomorrow

The world in which a learner learns — and the prospective climate in which the learner emerges from school in search of a sustainable way of life — has started to evolve faster than we can prepare or handle. In a way, school is a shield from the storm. In school we learn to do the things that computers already do for us in life. But unplugging teens from technology doesn't wipe away the problem.

In every area, there is an unrelenting explosion of knowledge, and a mushrooming of entirely new fields of knowledge that were not there when the curriculum was last revised. No one can master all the new technologies we've learned or developed over the past five years, let alone what's coming up over the next five years.

With just a few hours of preparation, AI can perform analytic and diagnostic processes that take years of human experience faster and more accurately. Human bodies cannot succeed in physical tasks compared to robots, and human brains are inefficient at mental tasks

 

Having to learn to be human.

If our future world is an AI-powered utopian or anarchic nightmare we must be able to think analytically and creatively in order to survive.

 

What expertise and know-how do we need? The positive view accentuates imagination, leadership, critical thinking, networked teamwork, agility, commitment, discernment of knowledge, and curiosity.

 

Prof. Pravin Rathod

Assistant Professor

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