By Sandeep Kavety, Product Manager, ConveGenius Insights
Big Data technology incorporates a lot of detail and can be applied to any real-world problem. The cloud-based infrastructure used to implement big data technology makes it cost-effective and efficient. Education is another industry where this technology can have a huge impact on the rest of the sectors. There is an even more colloquial word for the implementation and adoption of Big Data technology for education, known as Educational Intelligence. It refers to the practical use of multiple data points in a student’s life cycle to improve the entire education system.
Over the past two years, due to the outbreak of the pandemic, education has become completely dependent on technology. The development and use of technology has created more opportunities for interaction, collaboration and sharing of learning, which has generated a huge amount of learning data. It provided an opportunity to collect, interpret and analyze evidence of learning in the education system. The corresponding educational data mining technology appears at a historical moment. With the help of this education big data, turning data into information, knowledge and wisdom is the goal that educators are determined to pursue.
Use of education data
Education is an ultra-complex system involving multiple actors. Various educational practices, such as learning, teaching, management, and research, lead directly to more diverse types of academic data and more complex data collection and analysis. There are several perspectives for classifying educational data.
From the perspective of data sources, the data can be divided into evaluation data, classroom observation data, survey data, human-computer interaction data, physiological data and environmental data. learning.
Assessment data itself has subcategories that, more than test scores, educators, learners, administrators, and parents can use to achieve different goals. Formative assessment provides ongoing data (such as a concept map for problem solving and data processing) to ensure educators and learners know where learners are struggling and what adjustments need to be made to move forward. the front.
Summative assessment data indicates teaching and learning success and whether a learner has achieved a standard or benchmark, including a midterm exam and final project.
Potential in data analysis to change the education system in India
Data is an increasingly important resource, especially for a developing country like India, which will have the largest number of young people in the world. Such a large population can be a boon if these young people are qualified enough to join the labor market. However, this can only happen if enough emphasis is placed on the education sector. All over the world, sectors such as business services, enterprises, education sector, public sector, government agencies, etc., have reaped the benefits of data analytics.
In India, with the move of online education, there is a need to train teachers in emerging technologies. If educators can learn analytics, they will be able to use the data to understand student performance and use it for lesson outcomes. This will help establish test and exam benchmarks. Tools such as multi-source knowledge mapping and predictive analytics allow educators to design a system that meets individual learning needs and more comprehensive assessment. Student data can be collected through their overall class participation, interactions with classmates or teachers, levels of zeal or sobriety, etc. Daily monitoring of these activities will help to better understand student performance. The same will be used to develop measures to improve student growth.
Data analysis can help determine everything about a student – from academic performance to participation in cultural or sports activities, attendance patterns, and more. Schools will be able to push the best in students based on their abilities based on the data instead of pushing them towards the same goals. This will create a supportive learning environment for every student. Additionally, teachers will be able to use data analytics to customize lessons based on their skills and abilities. Based on student performance data across the school, it will help them get into colleges and then land jobs.