Integration of Machine Learning in the Education Industry – An Overview
Artificial intelligence and machine learning are among the top emerging technologies that are making roadways into several industry sectors. The education sector is one such industry that has been witnessing several technological changes and development in the last few years. ?
The present educational institutes, for instance, have automated infrastructures and modernized classrooms.?
This article discusses this integration of modern technology with the existing education system and how it is helping in transforming the overall education industry. ?
But first, let’s understand a little about machine learning.
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Machine Learning and its Goal
Machine learning is a part of artificial intelligence technology and has got the potential of learning things automatically and improving them at every step with the help of past experiences and updated data. It has the capability of learning and getting improved without any such programming involved in the process.?
Machine learning technology has been created to enhance system performance by improving with the processed data. ?
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But How Does a Machine Learn?
It utilizes the set of data that has been already stored and processed in its system. The machine keeps observing things and tries to find patterns that can be logically related. These related patterns help the machine to predict the moves, as per the stored data.?
The goal behind developing technology like machine learning was to make machines learn and think like humans, and using this; machines could deliver recommendations, insights, and more. Because of the semantic analysis, the ability of machine learning has enhanced understanding of the data text meaning instead of seeing them just as keywords sequences.?
Machine learning mainly has two techniques used by its algorithm to train a system based on output and input data for predicting the future output. This can also help in reducing unsupervised learning. In the education industry, the role played by these methods is highly important. The two methods of machine learning helping the education industry are supervised machine learning and unsupervised machine learning.?
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Supervised Machine Learning
Supervised machine learning is a subcategory of artificial intelligence and machine learning. Its work includes the use of labeled data for training its algorithm, which either classifies and organizes the data or individually predicts the possible outcomes.?
As a part of the process called validations, the machine keeps on adjusting the input data weight that is provided to the system until it is fitted properly in the model. It is known for solving problems of the industries at a larger scale for several industries, that include the education industry. ?
Supervised machine learning uses the set of labeled data for delivering the desired results of specific problems. These data are set as a guidebook that contains all the problems, solutions, and methods used for solving them. Here, the data used for the training and teaching purpose have accurate output and inputs, which the system understands as time passes.?
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Unsupervised Machine Learning
As the name speaks, this technique has got no supervision, which means the data of this technique are not labeled before. Because of the unlabeled data, it uses several patterns from the set of data to decide the solution of the problem.?
It is mostly used by the different subject matter specialists in the world who are not sure of the pattern in the unlabeled set of data. There is also another way of machine learning known as semi-supervised learning. It can be defined as the method which uses both unlabeled and labeled data to provide a solution for the given problems.?
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Machine Learning Transforming the Education Industry
The use of machine learning in the industry of education has endless benefits. It not only helps in simplifying the process but delivers an accurate insight and recommendations that help in predicting several results. Following are a few of the listed ways in which machine learning is changing the whole method of how students and teachers learn and educate.
Using the power of machine learning for predicting the outcomes as per the existing data set, accurate learning pathways can be generated for every student individually, that are looking for improvement in the areas or whom their lecturer or teachers feel would be benefited from the additional attention on a specified subject.???
It can provide support for the teachers in improving the knowledge of their students and filling the gaps between the important deadline and exams.
Gamification and virtualization are those trends that are sweeping across every commercial and industrial sector around the world. Virtual education can help to build better engagement with learners and students, who may struggle with the traditional way of teaching using blackboards or textbooks.?
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Customized Content
The use of machine learning-based education tools can help in making better targeted and more straightforward educational content.?
This content can be customized and made as per the individually collected data using the engagement software. Customized content can help students in gaining a deeper and better understanding of the subject area.?
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Example of Educational Apps Using Machine Learning
Currently, the most popular AI-powered app is Duolingo. It is currently the number one raked app for android and IOS, providing language training courses. Below are a few others:
Using this app, teachers can make step-by-step and personalized tutorials for their students. It fills the knowledge gaps and allows teachers to provide a better solution for struggling students.
This app helps students in completing their homework by providing accurate and fast answers. It promotes collaborations between teachers, PhDs, students, and others.
This app is built for teaching geography using several enjoyable methods. Its AI-based algorithm allows students to get familiar with different places around the world. One can also take quizzes to track the progress of the student.
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Conclusion
Machine learning has a powerful impact on the industry of education. It automates several crucial tasks and improves cyber security with the help of its biometric solutions. Learning and working in a team is an important element that students learn in their school time.?
With the help of machine learning, the efforts of collaboration can be enhanced effectively with the implementation of mobile, internet, and machine learning technology. The overall culture of the learning and education sector can be significantly improved with the adoption of technologies like machine learning.
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