Smooth Conduct of Foundational Learning Study (FLS) 2026 in Kargil District
Kargil, April 17, 2026: The Foundational Learning Study (FLS) 2026 successfully conducted in all 33 sampled schools in Kargil district, marking a significant milestone in strengthening evidence-based assessment practices in the district. The study was carried out smoothly, efficiently, and without any reported technical disruptions.
The Foundational Learning Study (FLS) 2026 is a large-scale national assessment conducted in India by PARAKH NCERT, New Delhi to evaluate how well young students have developed basic (foundational) skills—mainly in reading (literacy) and mathematics (numeracy).
For the first time, the assessment was administered in a fully digital format using tablet-based technology. This transition to a digital platform enabled real-time data capture, enhanced accuracy, and streamlined the overall assessment process. The Field Investigators and Observers demonstrated exceptional commitment and professionalism, ensuring that the assessment was conducted in a fair, transparent, and standardized manner across all sampled schools.
Notably, no technical issues were reported from the field during the entire course of the study, reflecting the robustness of the system and the preparedness of the field teams.
To oversee and ensure the quality of implementation, Chief Education Officer Kargil, Principal DIET, along with HOD DIET Kargil, conducted monitoring visits to several sampled schools across Kargil, Sankoo, and Shargole zones. Their on-ground supervision and guidance further strengthened the execution of the study and ensured adherence to established protocols.
The successful completion of FLS 2026 in Kargil district highlights the effective coordination among all stakeholders and sets a strong precedent for future large-scale digital assessments in the region.
The digital mode of tablet-based assessment for the first time has significantly reduced the operational burden compared to the previous pen-and-paper mode used during FLS 2022. The digital mode has enhanced efficiency and is expected to ensure real-time, accurate, and reliable data capture, thereby strengthening the overall quality of the study.
