Gujarat: AI EWS flags 1.68 lakh at-risk students for focused aid to sustain education

Gandhinagar, June 24: In a remarkable turnaround, Gujarat has achieved a drastic reduction in the school dropout rate among primary education students. From a concerning 37.22% dropout ratio for students in Classes 1 to 8 in the academic year 2001-02, the state has successfully brought this figure down to just 2.42% for the year 2023-24, a release from the state government said on Monday.

According to the release, this significant improvement can be attributed to various educational initiatives launched by the government, notably the Shala Praveshotsav and Kanya Kelavani Rath Yatra programmes, initiated by then-Chief Minister Narendra Modi in 2002-03, aimed at ensuring that every eligible child can access primary education.

However, the Government of Gujarat aims to reduce the school dropout ratio to nearly zero at the primary, secondary, and higher education levels. To achieve this goal, under the leadership of Chief Minister Bhupendra Patel, the state's education department has implemented an Artificial Intelligence (AI)-based Early Warning System (EWS) to prevent school dropouts among students, according to the release.

This system identifies potential dropout students in advance, preventing them from leaving school and ensuring they complete their education.

Currently, around 1 crore students are studying in government primary schools (Grades 1 to 8) in Gujarat. Among these, the Early Warning System (EWS) has so far identified nearly 1,68,000 students -- less than 2% -- who are at potential risk of dropping out.

The state government will ensure that these 1,68,000 students identified by EWS continue their schooling. To support this, these students and their parents will be invited to the Shala Praveshotsav, where they will be sensitised about the importance of completing school education for the child's development and progress. In this way, the state government is actively working toward achieving the goal of bringing the school dropout rate close to zero.

The AI-based Early Warning System (EWS), built on a fully scientific approach, uses data such as age, gender, disability status, school performance, attendance, and assessment records of every student studying in primary schools (Classes 1 to 8) to predict potential dropout cases in advance and issues alerts to take preventive actions.

The system uses algorithms to identify patterns in the data to detect students at risk of dropping out. This enables timely intervention before a student leaves school. Major contributing factors for student dropouts include frequent absenteeism, poor academic performance, health issues or physical disabilities, and behavioural problems. In addition, school-related information such as school type (government, aided, private, etc.), multigrade classrooms, school infrastructure, and family-related data such as economic status, migration, family beliefs about education, number of children in the family, and demographic factors are also used to identify potential dropout students.

Thus, the purpose of this system is to identify students at risk of dropping out based on key indicators. Once identified, these students will be supported through preventive response strategies and interventions tailored to their specific needs to ensure they remain enrolled in school.

It is noteworthy that, so far, the EWS has identified approximately 1,68,000 students at risk of dropping out. The list of such students studying in all government and grant-in-aid schools across the state has been made available to schools through the login of the Child Tracking System (CTS). Based on this list, action will be taken during the Shala Praveshotsav and Kanya Kelavani Mahotsav-2025 through the Block Resource Centre (BRC) Coordinator, Cluster Resource Centre (CRC) Coordinator, school principals/head teachers, and the School Management Committee (SMC).

Additionally, appropriate directives, reviews, and monitoring will be conducted at the district level to take proactive steps and prevent potential student dropouts. (ANI)

Students identified as at-risk by the EWS and their parents will be invited to the upcoming Shala Praveshotsav programme. Parents will be informed about the importance of completing their child's school education for their development and progress. Furthermore, careful measures will be taken to ensure that parents are treated with respect and dignity and do not face any negative or embarrassing experiences.

After identifying the factors related to the potential dropout of students, discussions will be held with their parents to prevent the child from leaving school. School Management Committee meetings will address how to ensure the child completes their education and remains enrolled. When the new academic year begins, the School Management Committee will ensure that students identified as at-risk definitely get enrolled and attend school regularly.

Thus, through the Early Warning System, potential dropout students will be identified and prevented from leaving school through public awareness, parental engagement, and community cooperation.

Reader Comments

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Rahul K.

This is a game-changer for Gujarat's education system! Using AI to predict dropouts is brilliant thinking. Hope other states adopt similar tech solutions. The 2.42% dropout rate shows what focused governance can achieve 👏

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Priya M.

As a teacher from Ahmedabad, I've seen the Kanya Kelavani Rath Yatra make real impact. But we must ensure this AI system doesn't just identify problems - the real test is providing timely support to at-risk students. Hope they allocate enough counselors!

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Sanjay P.

Good initiative but implementation is key. My village school still lacks basic facilities. How will AI help when there aren't enough teachers? Government should first fix infrastructure gaps in rural areas.

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Neha T.

The focus on treating parents with dignity is so important! Many dropouts happen because poor families feel judged in school meetings. This compassionate approach could be a model for all states 🇮🇳

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Amit D.

From 37% to 2.4% dropout rate in 20 years? That's incredible progress! Shows what happens when education becomes political priority. Now need similar focus on learning outcomes - many kids complete school but can't read properly.

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Kavita R.

As a mother, I appreciate this system tracking attendance & performance. But hope they protect children's data privacy. Also, what about migrant workers' kids? Their education gets disrupted every season 😔

We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.