While the debate regarding how much screen time is appropriate for children rages on among educators, psychologists, and parents, it’s another emerging technology in the form of Artificial Intelligence vs Machine Learning that is beginning to revolutionise education tools and institutions and redefining what the future might look like in education.
Over the previous few decades, technological advancements in education have been remarkable. This is especially true when we consider that technology-assisted instruction is now found in practically every classroom. We are surrounded by technologies such as smart boards, computers, laptops, tablets, and phones in today’s classroom, which are now being integrated into education.
Imagine the centre of the red bulls' eye region is the true mean value of our target random variable which we are trying to predict. Every time we take a sample set of observations and predict the value of this variable we plot a blue dot. We predicted correctly if the blue dot falls inside the red region. Bias is the measure of how far off the predicted blue dots are from the centre of the red region (the true mean). Intuitively bias is a quantification of error. Variance is how scattered are our predictions.
Artificial intelligence (AI) refers to a computer system’s ability to simulate human cognitive functions like learning and problem solving. A computer system that employs AI replicates the reasoning that humans use to learn new information and make decisions by using arithmetic and logic. Machine learning (ML) is the application of artificial intelligence. It’s the procedure of teaching a computer without giving it explicit instructions by applying mathematical models of data. This enables a computer system to learn and improve on its own, based on its previous experiences.
Machine Learning and Artificial Intelligence in India are significant drivers of growth and innovation across all industries, including education. In the next three years, over 47% of learning management products will be equipped with Data Science and Artificial Intelligence capabilities, according to the e-Learning Industry. We at Edology, have already implemented such technologies into our courses, and we promote the adoption of new technologies that can be incorporated into our curriculum.
TWhile AI-powered solutions have been around for a while in the EdTech field, the industry has been slow to embrace them. The pandemic, on the other hand, changed the landscape dramatically, pushing educators to rely on technology for virtual instruction. Now, 86% of educators believe that technology should be an integral element of education. Data Science and Artificial Intelligence have the potential to improve learning and teaching, allowing the education sector to change in ways that benefit both students and teachers.
We are now moving into a new age of technology, one in which Artificial Intelligence and Machine Learning are being developed. Therefore, we need to once again consider whether such technology should be used within education and, if it should, how it will be useful in enhancing teaching and learning. Edology leverages such technological breakthroughs in their courses and encourages you to grow, learn and evolve.
What remains to be answered is whether AI will be able to recreate the empathy and creative thinking that are essential components of a teacher’s function in the classroom, or whether the complete replacement of instructors by AI will be pedagogically beneficial to learning.
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