Work

Enabling ‘CS For All’ globally: Evaluating K-12 CS learning outcomes in low resource school settings

Year: 2026

Type: conference-paper

Abstract: This study demonstrates the feasibility of assessing computer science learning in low-resource settings. Working in Kenya and India, short, device-based assessments were developed and administered to sampled students. Students were able to access the assessment with minimal difficulties and the items functioned well. The results offer a robust method for gaining insights into student learning outcomes to inform curriculum and teacher training in K–12 computing education in global contexts.

Source: Conference on United Kingdom & Ireland Computing Education Research (UKICER)

DOI: 10.1145/3830800.3830818

Authors: Ben Durbin, Fiona Coventry, Somya Rastogi

Institution: Raspberry Pi Foundation

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W7204168708

FWCI:

Cites: 4

Cited by:

Related to: 10