Have you heard about the Large Hadron Collider Experiment (an experiment that was conducted in 2008 to unlock the mystery of the formation of the universe)? To conduct this experiment, a Hadron Collider was built by the European organization of Nuclear Research to facilitate the collision of subatomic particles.
It was reported that there were 600 million collisions per second occurring inside the Hadron Collider. The data obtained from these collisions were at a rate of tens of petabytes per year. Such an enormous amount of data was analyzed by a grid-based computer network connecting many computer centers in more than 30 countries in a bid to unravel the mystery of Universe formation.
Similarly, the day-to-day interaction facilitated by the Internet between people all around the globe generates lots of data, which can be analyzed and used. This unstructured data flowing in from all directions is big data. For example, you type a query in a Google search. These queries from the users spread across the globe become the big data for Google. This data when structured and analyzed can determine the searching patterns of users, which help Google to streamline its services according to the user behavior.
E-learning benefits from big data
Likewise, in corporate organizations, there is an enormous amount of data generated in all departments. One such department is training and development. In technology–facilitated training, data generated by the interaction between the learners and the content, learner and learner, learner and online trainer or instructor can be collected and tracked by an LMS.
This data when processed and analyzed can give us insights on:
- Where the learner is finding it hard to understand the concept?
- Which area is he spending more time and why?
- What is his preferred learning style?
- What are the timings that he prefers to take the course?
In brief, it gives an understanding about the learner behavior. This information would be highly valuable to the instructional designers, trainers’ and content developers in designing more personalized eLearning programs.
This approach pushes the limits of the instructional design in designing tailor-made eLearning courses. Have anything to say? Please do share!
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