Artificial Intelligence and Machine Learning applications have over the past few years made the process of learning a fun and interactive experience. Thanks to the advancements in the domain, students as well as educational institutions are now equipped with customized software tools, powered with virtual and augmented reality. At a time when remote learning has become an indispensible part of our education system, the role of technology cannot be ignored when it comes to ascertaining or determining the learning curve of any student. The foremost benefit of AI & ML with regard to the learning curve for students is that now they can generate personalized learning paths for themselves, which would help them concentrate on their shortcomings as well as strengths. On the basis of existing set of data, the technology of AI & ML can predict the outcome, becoming resourceful during the preparation of tests and examinations.
Successful learning with advanced learning technologies is based on the premise that learners adaptively regulate their cognitive and metacognitive behaviors during learning. However, there is abundant empirical evidence that suggests that learners typically do not adaptively modify their behavior, thus suggesting that they engage in what is called dysregulated behavior. Dysregulated learning is a new term that is used to describe a class of behaviors that learners use that lead to minimal learning. Examples of dysregulated learning include failures to: (1) encode contextual demands, (2) deploy effective learning strategies, (3) modify and update internal standards, (4) deal with the dynamic nature of the task, (5) metacognitive monitor the use of strategies and repeatedly make accurate metacognitive judgments, and (6) intelligently adapt behavior during learning so as to maximize learning and understanding of the instructional material. Understanding behaviors associated with dysregulated learning is critical since it has implications for determining what they are, when they occur, how often they occur, and how they can be corrected during learning.
Education has transformed into big-business in the recent COVID times. The literacy rate has increased up to 86% in the US. Primary, secondary and higher studies are seeing great improvements, and breaking records almost every year. Here is how AI is transforming the education tech space. Some people are of the belief that there is nothing like classroom teaching.
Artificial intelligence (AI) is no longer the realm of science fiction. AI is quickly becoming a powerful new technology and is set to disrupt any sector that deals with large amounts of data, and education is no different. The academic world is still considered one of the most human sectors -- the most human of the humanities -- but that doesn't mean there aren't ways in which teachers and school workers can benefit from implementing artificial intelligence. Just like any other industry, teachers deal with a huge amount of admin, and they are often having to spread their finite time between an ever-growing student body. As a result, the quality and relevance of education is becoming difficult to maintain.