With the advent of online/digital learning, learners have access to loads of course content, videos, and course material for studying different topics. With so much information overload, it’s not always easy for learners to keep a track of what topics are best suited for them or their careers.
As a digital/eLearning platform provider, it’s important for you to understand the unique requirements of learners and help them along their course. This is where recommendation systems play an important role. Recommendation systems like Alie can analyze the learner’s interests and a variety of other aspects to suggest the best-suited courses or content for them.
Categorize your subscribers into smaller groups that have common interests. Identify the learners having similar characteristics such as - age, educational background, geography, language, search patterns, preferences, likes-dislikes, etc.
Automatically catalog all coursewares, categories, content, and their associated metadata to power machine learning algorithms. Capture referring source, learner’s ratings, viewing history, etc. Catalog Information about the categories(science, IT, business, finance, etc), release date, title, and more.
Online education platforms are growing exponentially and the way of learning has changed from reading books to watching videos and online interactions. Today most online educators provide tons of coursewares in domains such as management, technology, science, languages, history, etc. But due to the abundance of information, it’s always difficult for learners to figure out what they exactly want or what they should learn next. This is where the recommendation systems like Alie can help. Alie analyzes the user’s interests, past interactions and recommends the relevant coursewares.
When a user chooses a learning path, your platform should automatically provide him with relevant suggestions on what topics he should learn next. For Example - If a user has begun learning with a video on basic concepts of marketing, then your platform should recommend him something which fits naturally as the next step in understanding marketing. This way you can automate the delivery of lessons.
This is a proven fact - “More time the users spend learning on your platform more likely they will stay for long”. The best way to reduce the churn though is to keep your users engaged and provide the value that they are looking for. One way of keeping users engaged is by showing them personalized recommendations where you have videos, study material guides, ebooks, or blogs.
Alie offers a customization feature for eLearning platform providers. With the customization feature, you can tailor recommendations for your learners by configuring the parameters and filters. For example, - If a user is from particular geography and you have the same course available in the native language of the user then you can filter such content and show them as final recommendations.
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