Conduct of Goa Foundational Learning Study (GFLS) 2026

Conduct of the Goa Foundational Learning Study (GFLS) 2026

The session trains teachers to administer the Goa Foundational Learning Study through a digital chatbot. The study is for students in Grades 1 and 2 and aims to capture foundational literacy and numeracy competencies—not to assign marks or simply judge whether answers are right or wrong. Results will be recorded digitally for analysis and planning.

What Teachers Need to Do

Prepare access to the platform

• Install SwiftChat from Google Play or the Apple App Store, or use the browser version demonstrated in the session.
• Open the Nipun/FLN chatbot using the shared QR code or link.
• Start interacting with the chatbot by typing “Hi.”
• Log in with an OTP if prompted.

Have the required codes ready

• Enter the school’s 11-digit UDISE code. The chatbot uses it to retrieve the school name, block or taluka, and district. Check that these details are correct.
• Enter the teacher’s national teacher code from the UDISE platform. The session says these codes will be shared through the relevant resource centres.

Teachers should have both codes before starting.

Select the class and students

1. Choose Record Student Performance, then select Grade 1 or Grade 2 and the FLS assessment.
2. Check the student list, which is populated from UDISE data. Contact the support team if names are missing or other details are incorrect.
3. Select a student whose status is pending, confirm that the student is present, and start the assessment.

The assessment window lasts several days. Do not mark a student absent just because they are not present on the first day; marking a student absent ends the assessment for that student.

Administer the assessment

Conduct the assessment one student at a time. Show the student the question or image and ask the prompt displayed in the chatbot. Record the response using one of three support levels:

1. The student responds independently.
2. The student responds with teacher support.
3. The student cannot respond, even with support.

The focus is on whether the student demonstrates the relevant competency, including literacy and numeracy skills, rather than on marks. The session describes the questions as linked to foundational learning competencies aligned with the NCF/Lakshyas.

Save each response before continuing. Teachers can go back and correct entries before finishing. After selecting Finish Survey, the response is saved and can no longer be edited. The chatbot indicates whether each student’s assessment is pending or complete.

The session describes about 30 questions per grade and estimates that each student’s assessment will take roughly 15–25 minutes, depending on the student.

Languages, Materials and Connectivity

• The chatbot assessment is available in English, Konkani and Marathi.
• Due to a technical issue, the button labelled Hindi opens the Konkani questionnaire. The presenters emphasize that this version does not include a Hindi assessment.
• Teachers working in other languages, such as Urdu or Kannada, are instructed to translate the questions into the required language and then enter the student’s responses on the platform.
• Writing skills will also be assessed using a worksheet supplied as a PDF or in printed form. Teachers should record and compile this work; further instructions will be shared through the WhatsApp channel.
• If internet access is unavailable, teachers can use the PDF questionnaire to conduct the assessment offline and enter the data into the chatbot once connectivity is available.

Timing and Support

The assessment window is 26–31 in 2026; the month is not specified. The chatbot is expected to be available around the 25th so teachers can check access and student names.

Teachers are urged to assess all Grade 1 and Grade 2 students during the window and to use the correct medium of instruction assigned to their school.

A dedicated WhatsApp channel will provide links, presentation materials and technical support. Teachers should use it to report problems rather than posting names and school details in the session chat. A separate Google Form is provided for attendance and details.

The presenters also announce another training session for the following day at 3:00, a later endline assessment in March, and a further survey in 2027.

Speakers and Sources Featured

• Unnamed technical presenter: Demonstrates SwiftChat and the Nipun chatbot, explains the assessment workflow, and conducts a sample assessment.
• Unnamed co-presenter/official: Provides guidance on the assessment’s purpose, teacher support, languages, timing and follow-up.
• Amit: Identified as a colleague sharing links in the WhatsApp channel; the subtitles do not indicate a substantive speaking role.
• Shubham: Appears as the name on the demonstration teacher profile in the chatbot; the subtitles do not establish that he is a separate speaker.