- 15 Feb 2021
- Reading time
- 3 minutes
Machine learning is not a new word. The advantages of understanding the data and predicting the learning behaviours have served in many fields.
In the Learning Management System, you can implement machine learning using algorithms to analyze the audience and provide a targeted learning experience to your audience.
For example, the Absorb LMS Pricing plan includes machine learning as the main feature to their customers.
Here are some of the best ways to implement machine learning into your employee training using Absorb LMS.
What is Machine Learning?
Machine Learning is a kind of Artificial Intelligence (AI) that understands human behaviour based on their historical data to curate customized content.
Some of the advantages of machine learning are
- Automates the decision-making tasks
- Indulge in continuous improvement
- Identifies the trends and patterns from user experience
- Adapts to various fields like Defense, Education and GPS tracking.
- Handles multi-dimensional data
Ways to implement Machine learning using Absorb LMS
Machine learning in LMS has a significant role in personalization. It accesses the user data and provides the content they want to learn.
How does machine learning do it?
Machine Learning Algorithms
Machine learning uses three algorithms for Learning Management Systems- Least Squares Regression, Decision Trees, and Ensemble Methods.
In the least Squares Regression, engineers use linear regression and point charts from the multiple data to draw the line. Using the line, they calculate the distance between the points, then find out the sum. The shortest distance implies the final answer.
While in Decision Trees, online learners’ actions guide them to a branching scenario. Based on the paths they choose, the outcomes are showcased. For example, LMS utilizes the user’s experience and the latest information to predict the outcome.
Weighted and non-weighted algorithms are involved in ensemble methods. In predicting the economy in the stock market, stockbrokers follow the model averaging using this method.
Automated training paths
You can automatically provide the training paths using machine learning in your LMS to the target audience.
For example, You can use the data collected in your LMS and HR software to provide a customized plan for your employees' training.
It also involves factors like their job responsibilities, present skills and work experience.
Adaptable resource allocation
Like mentioned before, LMS and HR systems are enough to offer adaptable online training.
With updates in the algorithm, you can deploy training content to a larger audience.
For example, A strategic marketing management training course can be delivered to your remote marketing team exclusively.
Plus, implementing real-world applications in the module can build up the scope and face practical challenges in their work.
Online assessment strategy
With building up an online course module and assessment, you can use LMS and machine learning.
Automated systems are used to generate specific test questions for the users according to their tasks and performance.
For instance, online reports and test results reveal your employees' plus and minus during the training.
Thereby, the system assists the employees in overcoming the minuses to meet the organization's standards.
Planning and Development
Data is an immense asset to LMS, especially to your learning and development team.
This information serves as intuitive support for developing goal-oriented learning courses, and hence, you can streamline the content planning process.
For example, Absorb LMS pricing plans provide various responses to scenarios, Key performance indicators (KPIs) and learning behaviours help you personalize the online course.
The Final Takeaway
Learner-centred corporate training focuses on employee efficiency. Machine learning boosts your employee training experience to several folds so that your employees receive training that impacts their professional behaviour and your organization.