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Learn to program just to program?


Credit: Courtesy Girls in Technology

Learning to program is only an interest for the school universe? Or for those looking for their first career? There is a marketing that approaches programming by programming itself: "I learned to program because it is what the future asks for". But in reality it is not very clear what that future, dynamic and changing potential is asking for.

It is already established that at the rate of digital transformation, technological changes create new jobs and open a field with unpredictable potential. But it's not just about the appearance of experts in
Big Data, specialists in cybersecurity, robotics and artificial intelligence. The technological disruption also
impacts existing professions by substantially modifying them.

According to
World Economic Forum 2018 report, while today 71% of the tasks in the industry are developed by humans and the remaining 29% by machines, by 2022 it is expected that this ratio will become 58% and 42% respectively.

Professions such as law, for example, incorporated digitalization in court proceedings and procedures. Processes that were previously done manually, are now done automatically and remotely.

Something similar occurs in the field of architecture. The architects manage various programs in relation to their own tasks: calculation of structures, facilities, measurements, budgets, client management programs,
Autocad,
Sketch Up, time management programs, shopping platforms, etc.

Doctors keep medical stories on computers and diagnoses are recorded digitally. The software allows them greater precision in diagnoses and treatments. Some 3D print models that reproduce the anatomy of an injured bone for example to plan a surgery. There are programs that allow you to instantly consult what decisions other doctors have made in similar cases and what the result has been.

A dentist will be able to attend more accurately to a patient who loads in detail in an app that he eats and does not eat. With these data the potential development of caries can be evaluated. Also, a nutritionist can benefit from his task if he has similar information provided by an application to assess feeding habits and make decisions.

So programming is no longer just a topic for engineers or systems analysts. No matter what you do, your tasks will be increasingly mediated by programming. Nor is it a "young" issue: life expectancy tends to be extended and with it, the quality of life and professional validity of +45,
as Sebastin Campanario says in his book "Senior Revolution." Therefore, to think organically the programming leads us to think in strategies.

Although there has been talk of incorporating technology in the classroom for quite some time, there are still many challenges to address teaching. "The programming is to Computer Science, what geometry or arithmetic to Mathematics, gymnastics and sports to Physical Education, or the teaching of literacy to Language and Literature", reflects Gustavo Cucuzza, head of the Association of Teachers of Computer Science and Computer Science the Argentine Republic (
ADICRA): "We need to have the different knowledge that this discipline brings to understand the world around us: electronic voting," smart "devices, computer security, internet of things and the consequences or care to take into account with the use of the different technologies, such as grooming, sexting, cyberbullying, digital identity. " And if we think that programming is not a means to an end? And if we approach these real experiences of digital transformation? Maybe it can be a bridge between the world outside the school and the educational world.

Luca Martn, Luli, is a graduate and part of Girls in Technology, studies Political Science and from her field of interest at 15 years ide
5ntar, an app to report street harassment and contain victims. Without being an engineer or systems analyst, Luli found through technology a chance to improve a daily problem that impacts several people.

Programming not only has to do with creating code, it implies understanding how all professions are being affected by some software that impacts the way of conceiving the tasks of each job. These softwares were created considering certain algorithms and data, among other elements, and those are decisions that impact scales we still don't know. Today the strategies to attract more people interested in programming are not sufficient and sustainable if we think for example only of high salaries. It is necessary to attract with other incentives, ranging from the importance of citizen participation, to what and how the same profession is transformed and where the contribution of value of each trade will be, knowing the way in which this technology is created.

But above all, programming brings us challenges in the field of the ethical decisions we make, and this could even impact the hypocritical oaths of several professions, without going any further in the field of medicine today the question is: what is The limit of a patient's data usage? For now, there are challenges that will require human judgment and a certain tendency to think only about automation processes is worrying, without considering this key human factor for the future. Perhaps experiences like Luli's will help us find some of the answers to this dilemma.

(tagsToTranslate) Learn to program just to program? – THE NATION

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