Information Design Lab
The digital presence of
Designing Learning Analytics for Resource Constrained Schools
By Sanket Kulkarni
Guide: Prof. Venkatesh Rajamanickam
Learning Analytics (LA) focuses on thorough analysis of learner and tutor data to provide meaningful insights. The applications of LA has shown significant improvements in online learning environments. For utilizing intensive data analysis methods of LA, the availability of data in digital form is necessary. Hence, computing devices and internet become an inherent prerequisite for learning analytics.
Many elementary schools in India do not have enough resources to support basic learning environment. More than 50% schools do not have enough teachers for teaching to all students (Aser 2014). Only 19.6% of schools have computer available for students (Aser 2014). Due to unavailability of computing resources and manpower, state-of-the-art applications of LA have failed to penetrate in such context. It then becomes a challenge to design a solution that can work in deprived schools for the benefit of students and teachers.
To deal with this problem, we propose Open School Learning Analytics (OSLA) platform which can be used by schools, researchers and NGOs for conducting surveys, sharing data and analysing it. The platform provides multiple ways of offline and online data collection which can tolerate unavailability of specific computing device and internet. Additionally, platform allows school stakeholders like headmaster to co-relate data of multiple surveys and draw collective insights.
Open School Learning Anlytics
Key Features
Prototype Demo
The following video demonstrates how OSLA smartphone application can be used to capture and process OMR sheets using camera.
The following video demonstrates how OSLA smartphone application can be used to conduct survey.
The following video demonstrates how OSLA smartphone application can be used to correct errors, encountered while processing OMR sheets.
Project Documents
Scenarios
Report
Contact
You can reach Sanket Kulkarni via email.
You can reach Prof. Venkatesh Rajamanickam via email