Big Data in E-Learning: The Future of eLearning Industry

Topic 5: Big Data in E-Learning: The Future of eLearning Industry

Name: 陳美菁
Student ID: D0773630

In recent years, Online learning systems have met big challenges, especially due to rapid changes in technology, the gigantic amounts of data to be stored and manipulated, the large number of learners, and the diversity of educational resources. As a result, e-learning platforms must change their mechanisms for data processing and storage to be smarter. In this context, big data is the relevant paradigm for the distributed and parallel processing of large data sets through thousands of clusters. It also offers a rich set of tools in order to improve data collection, storage, analysis, processing, optimization, and visualization. Big Data is set to revolutionize the way E-Learning is designed, developed, and delivered. Introducing this technological innovation into E-Learning has opened the door to vast possibilities in making learning more effective; it could help design and deliver more personalized and adaptive learning programs for our learners. These are the possibilities we have been waiting for. Big Data has the potential to change our approach to learning and development, by challenging the most important beliefs and principles of learning design. It promises to help us push the limits of what we can achieve using present tracking standards.

The benefits of big data in the e-learning industry are they can track their learners learning outcomes. Within the areas within their program that they find hard and spend more of their time on, the pages they revisit often, the areas in which they might be getting stuck, the sections they recommend to their peers, the learning styles they prefer, the time of day they learn better. In short, Big Data can help them understand the real behavioral patterns of their learners much more accurately than the already existing traditional beliefs and theories on learner behavior. These patterns could lead to highly valuable information on what and how they learn, thereby helping them make better-informed decisions about the learning programs and identifying design flaws. However, the real strength of Big Data lies in its power to help forecast or predict scenarios and take preventive action. For example, with the help of Big Data, they could predict how strong their learners are in every concept of the courses they have not taken yet! And also the areas where their learners are likely to struggle or fail.

Big Data could help them to predict learners’ performance and outcomes before they start a training program. This could even be at the early stages of analyzing the training requirements! It could also allow them to forecast trends and draw conclusions about their students learning and development initiatives.

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