Obstacles & Benefits That Comes Into Consideration About Machine Learning For College Education in 2021-
We are living in times when the use of technology for our daily purposes is not something out of the ordinary. Today people utilize technological features and devices for a lot of different reasons. Having this in mind, we can easily conclude that an area which is not excluded from this is, of course, education. The use of machine learning is slowly but surely becoming an essential part of the worlds’ education. Students are getting used to it step by step and it is something that will overtake common habits and work ethic of educational institutions around the globe in the future. Naturally, everything has its right and wrong side.
Let’s see what obstacles and benefits come into consideration when we speak about machine learning for college education.
The Use Of Artificial Intelligence-
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Let’s take China as an example. It is one of the countries that tirelessly work on developing AI, alongside the USA and Japan, and allow it to become an inseparable part of their colleges. What the Chinese managed to achieve already is perhaps the best positive sign that we, as a species, have progressed massively in the field of technology. But as much as it seems advanced, we have just begun and more, better things are yet to come. Namely, Chinese students have robots at their disposal that are able to control their health. Yeah, you read it right. Those robots are specifically created just for this purpose and it is surely a big benefit. The only thing that needs to be done is to expand it to a larger number of colleges that will use them. Another benefit of AI in Chinese colleges is the possibility of tracking students while they are walking around the college territory. Students are wearing uniforms that have trackers attached in order to keep their safety as high as possible. And a third benefit of the use of AI is the successful creation of headbands. It represents perhaps the most significant achievement of the Chinese technological developers. The headbands are designed to track students’ levels of concentration.
Just imagine that many more countries have stuff like this at their disposal. The level of our education would be on a much bigger level, isn’t that, right?
As you may know, grades are the most important thing for every student regardless of its residence, preferences, or anything else. They exist to show students’ work efficiency and reward their effort when it is deserved. It is enough to convince programmers to keep working on machine learning development. But the question is, how can it be applied to grades? It is fair to say that sometimes professors misunderstand students and estimate their commitment in the wrong way. As a consequence, they are getting grades that may not be true indicators of their true knowledge. And that’s why another benefit of machine learning can be visible in the precise grading of the students. What does it imply? The point is that grading systems in educational institutions are not unified, or simply said, not the same for everyone. And that’s what technology will change as equality must be present at any cost. One of the ways to do it is the creation of paper-grading systems. Those systems will evaluate students’ tests or essay samples accurately and automatically. But here developers can run into some obstacles too. It represents a complex system of mathematical algorithms that must be made unmistakably. Any tiny error can affect the evaluation of the students’ grades. That’s why programmers may be assured that everything goes smoothly and without errors of any kind. With this in mind, colleges should make sure that teachers always make a quick check of the test results before the final decision about grades comes onto the surface.
Caution Is Still Recommended-
Although everyone is delighted about how far we have already gone with the development of technology and AI, the truth is that it is still limited. That is the biggest reason why problems may appear from time to time. Regardless of how big a level of excitement and benefit its use can bring to the students, those limitations are something that must be looked at in 2021. The problem is commonly seen in the privacy and transparency of our education. And of course, those areas are often a thing that students care about the most, especially a private one. There is still little insecurity and disbelief in AI work and its impact on this theme. But we can stay assured that computer scientists and program developers will sort it out in the future. It will allow students to feel completely free and safe. Therefore, caution is recommended for now.
There is no doubt that machine learning will be the future of peoples’ education systems. The improvement and level of mutual understanding students will get is simply too big. It is only a matter of time when we will see its full utilization in every single college and even high school. But of course, it also depends on the countries’ capabilities and, above all, economical position and power. Without it, it can’t be reached, unfortunately. Let’s just hope that many states will be able to answer all the challenges of this kind and improve our education as much as possible.