Application of Big Data Techniques to a Problem lo4 case1

Bilal Hussain Malik 

                                         Application of Big Data Techniques to a Problem


                                                  Explaining Big Data Concepts

Big data means examination of vast quantities of structured and unstructured educational data—such as how often students log in, submit assignments, watch videos, take quizzes, and engage in discussions.

While e-learning became more widespread, EduTrack experienced a tremendous spike in data generation, from 1 terabyte annually to more than 10 terabytes. By harnessing real-time behavioural analytics, the platform was able to identify the earliest warning signs of disengagement by students and could intervene early and precisely.

Comparison: Big Data vs. Traditional Approaches

• Traditional methods relied on tools like end-of-term questionnaires and manual checking of student progress.

 Big Data methods provide real-time tracking and establish forecast scores to identify struggling students in real time.

Shortcomings of Traditional Methods

Support measures under traditional methods were general and did not cater to individual students' special requirements. In addition, surveys had low response rates and were often not representative.

Advantages of Big Data

Big data offers strong feature sets in the way of interactive dashboards to instructors, visual heat maps showing the level of participation, and the application of natural language processing (NLP) to better interpret free-text student answers.

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