col-xs-12
col-sm-12
col-md-12
col-lg-12
col-xs-12
col-sm-12
col-md-12
col-lg-12
videoType
embed-code
videoDmUrl
https://delivery-p136806-e1377785.adobeaemcloud.com/adobe/assets/urn:aaid:aem:628825d8-a7e8-475c-9333-72a6145a429e/play?assetname=AIDD-Brown-Bag-Lunch.mp4
embedCode
<iframe src="https://worldbank.scene7.com/s7viewers/html5/VideoViewer.html?asset=worldbankprod/AIDD-Brown-Bag-Lunch-AVS&config=/conf/global/settings/dam/dm/presets/viewer/WB-Player-with-Social-Sharing&serverUrl=https://worldbank.scene7.com/is/image/&contenturl=https://worldbank.scene7.com/is/content/&posterimage=worldbankprod/AIDD-Brown-Bag-Lunch-AVS&videoserverurl=https://worldbank.scene7.com/is/content" width="100%" height="500" frameborder="0" allowfullscreen></iframe>
title
AIDD-Brown-Bag-Lunch
keyFrameImage
https://worldbank.scene7.com/is/image/worldbankprod/AIDD-Brown-Bag-Lunch-AVS
videoDescription
On February 18, Martin De Simone, María Barron, and Federico Tiberti (World Bank) gave a brown bag talk for the AI and Digital Development research initiative, presenting the main findings of their study in Nigeria on the use of Generative AI to improve student learning.
description
AIDD-Brown-Bag-Lunch
showTimestampAndTranscript
yes
duration
3483.92
scene7File
worldbankprod/AIDD-Brown-Bag-Lunch
scene7Domain
https://worldbank.scene7.com/
scene7FileAvs
worldbankprod/AIDD-Brown-Bag-Lunch-AVS
col-xs-12
col-sm-12
col-md-3
col-lg-3
col-xs-12
col-sm-12
col-md-7
col-lg-7
  • add-style
  • lp-body-content

On February 18, World Bank experts Martin De Simone, María Barron, and Federico Tiberti gave a brown bag talk for the AI and Digital Development research initiative, presenting the main findings of their study 'From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria.'

The speakers presented key findings from their study, highlighting the impact of large language models on virtual tutoring in Nigerian secondary education. They discussed the significant learning gains observed among students using Microsoft Copilot, as well as the challenges encountered during implementation

lp-heading-top-medium
lp-heading-bottom-medium
col-xs-12
col-sm-12
col-md-2
col-lg-2