How adaptive learning is changing the way we learn?

What’s Adaptive Learning?

In layman’s terms, adaptive learning is an educational approach towards providing unique and personalized learning experience to diverse set of learners. Here’s a popular opinion from global researchers and educationists:

In order to eradicate such major problem in the educational sector, adaptive learning technology emerged as a great solution.

How does adaptive learning work?

Adaptive learning works with multiple algorithms. Let’s consider a simple scenario where a student has to answer 10 MCQs. Once the candidate completes the test, the results gets displayed in the dashboard.

From the above dashboard, it can be seen that the student has got 7 correct answers and 3 wrong answers. Now one of the background algorithm prompts the student to have a revision on the topics that went wrong, thereby aiding the learner to gain complete understanding of the subject.

Companies like iamneo.ai have been proven successful by deploying adaptive learning technology to enhance the learning experience in a customized manner.

Adaptive Learning in L&D of Corporates

Yes, adaptive learning has already breached the department of learning and development in the corporate firms. The organizations have started to use the LMS software equipped with adaptive learning technology to provide training to their employees.

Tech-companies like Hexaware, Virtusa, Trimble Technologies are using the adaptive learning powered software offered by iamneo.ai (Formerly Examly) to host training programs for their employees.

The Inside-story of Data Industry – A Quick Look!

Data Analyst

The Data Analyst is the one who plays the game with the large sets of data (aka) Big Data! The everyday lives of data analysts revolve around analysing an enormous amount of data available in various forms.

Data Analysts are responsible for providing relevant insights out of the interpreted data which in turn aids the organization in decision-making and solve complex business problems.

Data Scientist

From the above quote, it is evident that data scientist stands a level up in certain cases. This is due to the fact that in addition to the data analysis, the data scientists perform the programming part. They create the data model with the help of data given by the data analysts.

Data scientists work on top algorithms such as regression, clustering, visualization, K-NN, statistics, time series etc.

Machine Learning Engineer

When the data model created by the data scientists needs to be deployed as a product, the machine learning engineer enters the crease. Machine learning engineers create the software product (website applications, mobile applications etc ) out of the given data model.

The life of a machine learning engineer can be synchronized to that of a data scientists as their roles overlaps depending upon the organization.

List of Data Science Tools:

A wide range of tools are used in data science industry for various purposes such as statistical analysis, modelling and visualization.

Some of the most widely used data science tools are:

  • MySQL
  • Tableau
  • Microsoft Excel
  • Apache Spark
  • RStudio
  • BigML
  • SAS