First Bench – Practicing Math Learning by Machine LearningMarch 27, 2019
It’s a common trend that even though a student studied the subject math in the classroom it is often difficult for him to grasp the things taught with accuracy. The same concept was realized by Salai Arjun, the founder of First Bench who claims that there should always be a balance maintained between the things being taught and the level of understanding of the things learned.
This particular urge to actively encourage a balance between math learning and understanding introduced First Bench into the market wherein individual assessment of students’ abilities are done and accordingly the future path is laid out for respective students. From the conceptualization of First Bench, their key goal is to develop an environment of interactive learning with the culmination of in-depth learning. First Bench has been operating since the past five years and has constantly been engaged in comprehending the study patterns, important behavioral feedbacks, and various other data which ultimately led to the development of the application of Machine Learning Technology and the implementation of Machine Learning Tools in their learning practices.
So, how do they actually function? With the help of Artificial Intelligence, First Bench makes use of Machine Learning Technology to operate in situations where human capability becomes limited. With a huge classroom size, it usually becomes tough for a teacher to offer attention to individual students. In such a situation, the Machine Learning Technology finds its valuable application. The Machine Learning Tools used by First Bench are highly engaged in assessing each student and providing tailor-made knowledge.
In the initial stage, the Machine Learning Tools assess individual students effectively before the commencement of any lesson. With the help of this Machine Learning Technology, this enterprise is successful in understanding the capability of each student to effectively comprehend the lessons to be taught. This type of Machine Learning Analysis takes into account the student’s knowledge about the basics and fundamentals of the topics to be learned.
Through Machine Learning Course and the proper implementation of Machine Learning Tools, the respective student’s answers are recorded. With the aid of this information, the Machine Learning Technology will conclude upon the learning course for a specific student and come up with suitable lessons. Thus, with this successful Machine Learning Analysis, a set of the learning system is devised for each student which is exclusive to individual people and is adaptive to the learning structure of the student.
In turn, what will be the results of such a Machine Learning Analysis which makes use of Machine Learning Technology? These Machine Learning tools will consistently assess the student’s performance and guarantee that each individual is able to efficiently learn the subjects and thereby, proceed to the next lessons. With this Machine Learning Analysis, it is obvious that along with the transition from one topic to another the student effectively develops the knowledge about each topic from a very basic level to a more challenging level. A result of this adaptive and efficient Machine Learning Analysis is that every student has the chance to proceed in their learning procedure by taking into account their abilities and inherent intelligence quotient.
The best thing about this is that not a single student is overlooked in this learning process. This method adopted by First Bench is an example of how AI and Machine Learning Technology are capable of adhering to individual students and their learning disabilities, thus creating a powerful learning system. With the success witnessed from the incorporation of Machine Learning Analysis a large number of schools are becoming increasingly interested in participating in such a program. Machine Learning sure has the potential to transform the complete education system in the upcoming generations.