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The scope of automation is increasing across all industries. Automation, however, is not possible without a sizable amount of data to power it. Big Data enters the picture in this situation. In this post, we analyze how Big Data might improve the effectiveness of the online learning environment.
This decade has witnessed a lot of changes in the education sector, and events like Covid-19 have fundamentally changed the field. The ethos of open universities and distance learning is the new norm when it comes to online education. Thanks to technology, learning is no longer constrained by the boundaries of miles or kilometers. Experts are therefore working to improve online learning over time as technical advancements progress. According to a survey by Research.com, the global eLearning market is predicted to reach $336.98 billion by 2026. When learning from home was the only option available during the lockdown, eLearning apps, such as Coursera, Udemy, and Khan Academy saw a significant increase in their download numbers.
Let’s now provide some background information on the term “Big Data” for people who are unfamiliar with it. The process of gathering data based on users behavior, patterns, comprehension, and other criteria is known as “big data,” as the term suggests. Big Data is being used by companies like Netflix to determine the interests and tastes of platform users. As a result, Artificial Intelligence leverages Big Data in conjunction with deep learning to recommend and personalize the homepage for the user.
The entire process can be divided into three stages:
Comparing the traditional educational model to online learning, it is becoming clear that the latter is a more effective system. Online learning provides more efficient and enjoyable study methods for users, by expanding access to education to concentrating on individual individuals. For instance, Big Data analytics technologies gather the strengths and weaknesses of the students who are using the platform, and AI then customizes recommendations and advises to help those who need it most. Big Data gives students the opportunity to evaluate their analytics, such as graphs showing their learning patterns, how much time they spend on each chapter, how they may sharpen their pattern-solving abilities, and whether there are any more effective or efficient ways to solve equations.
Modern apps typically use cloud-based databases, which are less reliant on hardware constraints, and Big Data supports these apps’ efficient data management. Incorporating blockchain and the cloud into the eLearning process not only expands its user base but also enables users to access services without being constrained by the storage of their devices.
As just indicated above, Big Data can be of assistance to educators in the process of data collection defining the behavior and patterns of students. This data can also be used to observe their strengths and shortcomings, or with the help of an AI, students can get personal counseling to enhance their studying patterns. Another use for this data is to help students improve their study habits. Big Data may be used to collect information on a variety of factors, including the equations and formulae used to solve problems, the amount of time spent solving problems, the number of attempts skipped, and the total number of efforts taken to answer issues. Either educators or AI systems can, through comprehensive analysis, provide feedback to children in a manner that is appropriate.
The use of Big Data in conjunction with other emerging technologies like augmented reality (AR) and virtual reality (VR) has the potential to post a positive impact on the education sector. Systems that use big data can understand the outcomes of each individual action that students can take. For each treatment decision, for example, medical students can receive a graph depiction through AR and VR. Data will be gathered for the representation using Big Data technologies. To help students grasp the impact of their activities, representations that are almost real will be given. This increases learning interest while also assisting pupils in improved memorization of concepts, particularly those that will be applicable in the real world.
Now, how exactly can Big Data make learning more affordable? In many countries, obtaining an education degree takes a high cost, which can be especially difficult for younger students who must also find employment to support themselves financially. Big Data’s contribution could be to do away with the necessity for human teachers in elementary and secondary schools. Students can receive free assistance in their educational pursuits from Big Data and AI by just downloading a basic application. There are existing examples available, such as Khan Academy, which allow students from all over the world with free access to educational resources. Even with the free plans offered by Udemy and Coursera, students have the opportunity to study from free courses; however, the free plans do not provide students with certifications or degrees.
Big data is a relatively new field of research and development. With the elapse of time, new discoveries and inventions are being made. There are still numerous unexplored opportunities that can be found by merging Big Data with other technologies like artificial intelligence and deep learning. Big data is the best value for the education industry, and it has the potential to improve that industry for the better. Additionally, Big Data has the potential to play a significant part in the development of a long-term virtual learning environment. Not only can Big Data have a positive impact on the standard of education overall, but it also has the ability to lessen the workload of educators and provide them with improved resources to determine the amount of focus that each student requires in accordance with their individual requirements.
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