Call of Interest: Meta-Learning Assessment & Capacity Strengthening Consultant at Samuel Hall

Position Overview

We invite applications from suitably qualified candidates for a Meta-Learning Assessment & Capacity Strengthening Consultant position. This is a 5-month consulting engagement (February – June 2026) based in Nairobi, Kenya.

Scope of Work

The consultant will design and implement an innovative, data-driven meta-learning assessment that goes beyond traditional qualitative tools. The focus will be on understanding how learning occurred, how it was applied, and how it generated value, using quantifiable metrics, ratios, and comparative indicators to be shared with partners during restitution workshops.

The consultant is expected to demonstrate creativity, propose fit-for-purpose methodologies, and articulate clearly how they define and operationalise meta-learning within the LLEARN framework.

Activity 1: Inception, Conceptualisation & Methodological Design (February 2026)

Key Tasks:

• Review LLEARN project documentation including Implementation Manual, Data Collection Manual, Performance Framework reports, Co-creation City Notes, Country Reports, and Validation Workshop outputs
• Provide a clear conceptualisation of meta-learning within the LLEARN context, explaining its relevance to multi-country, multi-stakeholder consortia
• Propose an innovative methodological approach that captures individual, organisational, and consortium-level meta-learning

Methodology Components:

• Quantitative and semi-quantitative tools
• Meta-learning scorecards
• Process-tracing indicators
• Behavioural markers of adaptation and self-regulation
• Learning transfer matrices

Deliverable: Inception Report (10-15 pages) with full methodology and indicator framework.

Activity 2: Meta-Learning Measurement & Data Capture (March – April 2026)

The consultant will employ creative, participatory, and quantifiable techniques, including:

Learning Analytics Dashboards:

• Analysis of project workflows, communication patterns, and decision logs to quantify adaptive behaviours

Learning Behaviour Metrics:

• Ratios such as feedback uptake rates, time-to-adaptation, and cross-country knowledge transfer frequency

Scenario-Based Assessment:

• Participatory exercises to measure learning application and problem-solving capacity