article on mechanical learning or classroom learning
Answers
Explanation:
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look Machine learning works especially well prediction and estimation when the following are true:
-The inputs are well understood. (You have a pretty good idea of what is important but not how to combine them.)
-The output is well understood. (You know what you are trying to model.)
-Experience is available. (You have plenty of examples to train the data.)
The crucible of machine learning consists of capturing and maintaining a rich set of data, and bringing about the serendipitous state of knowledge discovery: the process of parsing through the deluge of Big Data, identifying meaningful patterns within it, and transforming it into a structured knowledge base for future use. As long as the data flows, its application is endless, and we already see it everywhere, from Facebook algorithms to self-driving cars. Today, let’s examine machine learning and its implementation in the field of Education.
Application of Machine Learning in Education
Prediction
A few years ago, Sotiris Kotsiantis, mathematics professor at the University of Patras, Greece presented a novel case study describing the emerging field of educational data mining, where he explored using students’ key demographic characteristic data and grading data in a small number of written assignments as the data set for a machine learning regression method that can be used to predict a student’s future performance.
In a similar vein, GovHack, Australia’s largest open government and open data hackathon included several projects in the education space, including a project that aims to develop a prediction model that can be used by educators, schools, and policy makers to predict the risk of a student to drop out of school.
Springboarding from these two examples, IBM’s Chalapathy Neti recently shared IBM’s vision of Smart Classrooms: cloud-based learning systems that can help teachers identify students who are most at risk of dropping out, why they are struggling, as well as provide insight into the interventions needed to overcome their learning challenges:
The system could also couple a student’s goals and interests with data on their learning styles so that teachers can determine what type of content to give the student, and the best way to present it. Imagine an eighth grader who dreams of working in finance but struggles with quadratic and linear equations. The teacher would use this cognitive system to find out the students learning style and develop a plan that addresses their knowledge gaps.
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QUESTION:-
Article on mechanical learning or classroom learning.
ANSWER:-ON [MECHANICAL LEARNING]
- This article explains the beta release of Google’s Cloud AI Platform to aid in machine learning development. The company has described their platform as a simple and easy-to-install environment for machine learning workflows.
- In this guide, data science student Dario Radečić gives a great overview of Fast AI, a widely used library for machine learning. This guide explains how to use Fast AI to handle the MNIST dataset in detail, going through the process step by step.
ANSWER:-ON [CLASSROOM LEARNING]
- Students need to adapt to different learning techniques to study well throughout their academic session. While in school students learn new concepts every day for all subjects from different teachers. The curriculum and learning style for every subject is different and students have to learn every technique to study well and keep track of every subject. Where students are advised to clarify their doubts with teachers at school, on the other hand, they are told to do self-studies if they want to learn effectively.
- School students are always confused about their study strategies and they need proper guidance from teachers and therefore, school teachers are only best option to study well. But some students do not consider self-studying so important rather they prefer taking tuition classes at coaching institutes for getting extra help with homework and exam preparation. But the question here arises is, whether students really learn effectively with classroom learning be it at school or at coaching institutes or they need to study themselves for better understanding and long-term learning.
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