Interaction with learners

Using the power of data to improve student learning outcomes in rural India

The world has undergone a remarkable transformation over the past few decades, and lessons in schools have also undergone many changes. Students are often targeted by different educational institutions, which leaves them confused about their choice of courses. In such a changing situation, students need an education system that can take this into account and respond to student needs. It is therefore crucial that the system is constructed in such a way as to focus on the needs of each child. This will help to provide each of them with the education according to his ability. The same can be found today using training data.

Data intelligence can help achieve greater educational impact

Digital learning was introduced in India long before the pandemic, however, the COVID outbreak and subsequent lockdowns gave it a boost that led to it becoming a widespread way for many to learn, even in rural areas of the country. The vigorous deployment of technology in the learning process has created more opportunities for interaction, collaboration and knowledge sharing, which has generated a huge amount of learning data, creating an opportunity to collect, d interpret and analyze evidence of learning in education. system. Corresponding to the education data mining technology, educators want to turn this education big data into information, knowledge and wisdom to better educate students.

There are various types of educational data due to various educational practices, such as learning, teaching, management, and research. This leads to more complicated data collection and analysis. From the perspective of data sources, educational data can be categorized into assessment data, classroom observation data, survey data, human-computer interaction data, physiological data, and environmental data. ‘learning. Formative assessment provides real-time data and inputs, such as a concept map for problem solving and data processing, allowing teachers to understand lesson effectiveness and helping them improve teaching practices. instruction that will enhance the classroom experience. It also lets teachers know where learners are struggling and what adjustments need to be made to move forward. On the other hand, summative assessments are more effective at providing system-level information. This data is very useful to understand if the program followed or the teaching practices have been successful and if the learners have reached a certain standard or benchmark. .

Data analysis for the future of the education system in India

In a developing country like India, advanced tools in the education sector are the best way to accelerate development. Industries around the world, from business services, public sector, government agencies and more, are leveraging data analytics to make processes run more smoothly. Similarly, the Indian education sector can also leverage the power of data to address challenges such as lack of information on attendance, student performance, strengths and weaknesses, etc. In the meantime, to see the benefits of data science, educators need to better understand it. Macro-to-micro level implementation and embedding analytics into everyone’s daily life is essential for better data literacy and use.

Educators will be able to learn more about student performance through analytics and use that knowledge for better learning outcomes. They can build a system using tools such as multi-source knowledge mapping and predictive analytics to meet each student’s learning needs. They can accumulate data through several channels like overall class participation, interaction with other students or teachers, social interaction, levels of zeal or sobriety, etc. Teachers can understand student behavior and performance by monitoring these activities. This will allow them to better define their teaching techniques and their approach to students. Additionally, this data will collect overall student growth – including both academic and extracurricular.

Help for parents

As schools use machine learning, predictive modeling, and data analytics to create personalized programs for each student, parents can also reap the benefits to better understand their children’s needs. Digital programs allow parents to become more involved, for example by accessing a portal specially designed for them. They can use any device to track their kids’ grades, ongoing projects, and more.

Concepts like online homework allow parents and children to see in real time whether or not they are answering questions correctly. These new models make homework reinforce learning concepts. Their online notebooks (which are secure and restricted to select people) allow parents to be more effective advocates.

It can be difficult for parents to know how to get involved, but having real insight into children’s learning, what they need, what teachers have assigned, using great analytics on how and when to intervene makes parents more interested in school. And schools can benefit from the support of parents and the community at large to raise the level of graduation and improve student results.

How will this benefit students?

Data analysis has the potential to improve individual performance by leaps and bounds. Schools can encourage students based on their interests and results in cultural or sports activities, academics, etc. It can also help improve the performance of average or below average students. Improving a student’s overall performance would also reduce dropout rates, especially in rural areas where parents force students to drop out of school if they are not doing well. Immediate results (presented in a non-competitive way) and regular opportunities to participate in activities can potentially encourage students to work to improve. The scan will further offer learning options – whether physical or online, which is extremely important in the case of students from remote areas. In addition, continuous data from students over the long term can help them better assess their interests and lead them to activities that interest and motivate them.

The article was written by Sandeep Kavety, Product Manager, ConveGenius Insights