Monitoring and evaluating existing and future MLE programmes.

 



PRACTICAL ACTION: Integrate robust M&E systems within MLE programmes to better understand their impact on learning outcomes, attendance, retention and the broader educational experience for diverse language groups.

 Practical actions include to:

 • Disaggregate data by learners’ first or home language and correlate this with their school attendance and learning outcomes. Additionally consider the intersection of other factors such as gender, age, socioeconomic status, disability and geographic location to gain a deeper understanding of how these variables influence educational access and outcomes.

 • Develop and review language-learning outcome indicators to track the relationship between learners’ language and their performance on foundational SDG 4 indicators (4.6.1, 4.6.2, 4.6.3, and 4.5.2), using these for mid- and end-term national and regional reviews. The post-2030 framework should further deepen data on languages and education.

 • Engage Indigenous Peoples and community members in data planning and collection to ensure a nuanced and accurate representation of local language use and its impacts. 

• Assign responsibilities for assessing learners’ progress and MLE programme components through regular observations and formative testing in the appropriate language(s) to monitor comprehension and learning. Key tasks include: ū Classroom observation and documentation. ū Formative testing in the appropriate language(s) to assess comprehension and learning. 

 • Integrate M&E findings into global reports to promote visibility, accountability, and the sharing of good practice, including contributing to country reports under the 1960 Convention on Education against Discrimination (UNESCO, 1960, 2023g).

 • Leverage regional learning assessment tools for contextual data. Regional assessments, such as the Programme d’analyse des systèmes éducatifs de la CONFEMEN (CONFEMEN Programme for the analysis of education systems—PASEC) and the Southeast Asian Primary Learning Metrics Programme (SEAPLM), supported by SEAMEO and UNICEF, assess the impact of home language on learning outcomes and can offer valuable intersectional contextual data to inform educational strategies.




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