Education Domain has always had the power to generate a large amount of data. Start with Academic study requirement that includes long hours of school & homework, 5+ days per week turns into years. These exercise produce a huge quantity of information.
We are now able to collect and track this data using LMS (Learning Management Systems), Social networks, and other media that reach how students interpret, consider, and arrive at conclusions about course material.
The best part is that this information – called Big Data – can do helpful within the Education Sector. Using this solution, there could be the rise of many risks like Privacy, Security aspect all of which need to be addressed before starting on it.
What is Big Data: Big data is a large volume unstructured data which cannot be handled by standard database management systems like DBMS, RDBMS or ORDBMS.
What Big Data can do: Big Data allows for the analysis and prediction of behavior in a huge variety of demographics, skills, potentials – anything user can think for purpose of measuring.
How Big Data can Impact on Education: In Education Sector, these data points can being used to help institutional / organization strategies, personalized learning environments etc.
At initial level, Education can take below steps to start on it:
- Educational Data Mining: This layer will focus on developing new algorithms and discovering data patterns for Students.
- Learning Analytic: This layer will focus on applying tools and techniques at big scales in system.
Process:
- Online Learning System for Student – Front end Interface.
- Database – Detailed data about student’s experience.
- Predictive Analysis - The data is used to make predictions about knowing student’s future performance.
- All Predictions data are visible on parent & teacher dashboards.
- Students are getting learning material based on their performance level and interests.
- Parents & Teacher user can negotiate and help us necessary.
Challenges:
- Investments are require to store logged data, to hire data mining engineer.
- Privacy need to be sustained.
- Maintaining one picture from data can be difficult.
- Identification for which data should be mined and analyzed is challenge.
How to Develop Strategy:
- Develop a culture that uses data in making instructional decisions.
- Planning for Data collection and use.
- Focused Areas where data will help and build.
- Communication medium for parents & students about how the data is collected & stored.
References:
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