Implications of Big Data for Society(3)

 Bilal Hussain Malik

                                                     Implications of Big Data for Society


                                          Education and Workforce Transformation


Big data is powerfully impacting education and the workforce, with both challenges and opportunities for society. In the education industry, data analytics facilitates customized learning, improves teaching approaches, and optimizes institutional performance. Learning management systems monitor student performance, participation, and behavior and enable instructors to tailor instruction to individual needs. For every example, adaptive learning systems adjust content difficulty in real time based on a student's performance to close gaps in achievement and accelerate improvement.

Schools also utilize big data to track graduation rates, predict dropout risks, and design more efficient curricula. Governments and institutions interpret the labor market data to align study programs with future skills demands, preparing learners for jobs of the future. Online learning platforms like Coursera and Khan Academy use data on learners to make recommendations on courses and assess learning outcomes, making learning more accessible and flexible.

In the workplace, big data induces transformation by predictive hiring, performance management, and workforce planning. Employers now use applicant data—resumes, tests, even social media activity—to determine whom to hire. Data analytics-powered automation is also transforming occupations by automating some and creating new ones, especially in data science, AI, and cyber security.

But these developments have ethical implications. Algorithm-driven hiring can perpetuate bias if algorithms are used with imperfect past data. Surveillance of employees through monitoring their productivity can undermine trust and privacy

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