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Summary
Advances in data storage and Artificial Intelligence in the last decade have allowed organizations to store huge amounts of data and utilize that data to produce prescriptive insights. Manual methods for personalized learning for open courseware have not been possible. However, AI can help you develop customized learning strategies. Data is generated each time a student watches A video, participates in class, does not participate, submits an assignment, or submits a project. Online education has grown from a concept that was initially developed to a real-world application in the last decade. For example, AI can help predict the student’s performance about their participation, attendance, and scores. It is important to develop a clear opinion about the inner workings of these algorithms before jumping into programming. The major difference is that data analysts gain insights through descriptive analytics rather than machine learning.
Show Notes
A huge amount of information regarding students ‘ online activity, as well as their grades, is collected and stored.
Below are a few major ways that AI improves the learner’s experiences of learners:Individualization is likely the main use case of AI in education.
AI models then use the data to generate suggestions, suggest learning pathways, and provide assistance.
Online education has grown from a concept that was initially developed to a real-world application in the last decade.
Essential skillsData analysis and analysis, programming, statistics, Machine Learning, Data visualization, data inference, and business expertise.
Source
https://www.datasciencecentral.com/how-ai-helps-the-educational-sector/
