ML use cases in E-Learning

ML use cases in E-Learning

The online learning industry is growing stronger with the help of technologies like machine learning. Machine learning is a sub-division of artificial intelligence. The technology involves algorithms that can draw conclusions and make predictions based on large data sets. The strength of the system lies in its ability to identify patterns and trends in the data and, based on those patterns, to make predictions that can benefit humans.

Chatbots As eLearning Instructors

Chatbots are software built with machine learning and AI to interact with humans. This software can take the place of an eLearning instructor to deliver a better Learning Experience. In case of questions, they are built to give precise answers to questions on a specific subject matter.

Chatbots are essential in eLearning as they have no restrictions on answering questions or giving projects/assessments to students. You can use them to create an interactive Learning Experience that learners crave. Furthermore, they're readily accessible, and you can reach out to your instructor anytime to seek clarification on any subject matter with just a click.

Personalized eLearning Content

One of the benefits of machine learning is its ability to use pattern recognition to predict learning outcomes. For instance, a machine learning algorithm will identify where a learner is struggling with your course module. After identifying it, it automatically makes adjustments by providing helpful information to progress. If a student exhibits a specific skill gap, the system automatically recommends content in a personalized format to help the learner acquire knowledge.

Natural Language Processing 

Applying NLP solutions to transforming speech into text, enabling voice recognition and translations enables educators to teach learners from all over the world, greatly increasing the eLearning potential as an educational instrument. Using machine translation enables the users to better understand the language, grasp its grammar peculiarities, learn correct sentence structure and improve their vocabulary.

Digital Exams And Assessment

The lockdown impacted examinations, and in most cases, schools had to either cancel or postpone the exams. Within some time, institutes realized that online examination would be the new normal. AI and ML provides solution to evaluate online exam environments through retinal tracking, environment stimulus tracking and IP tracking. The data generated through such digital examinations combined with the power of machine learning will auto-generate evaluation papers as well as a course of action for each student to help teachers focus on the facilitation part.

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