This guide helps practitioners design, implement and evaluate training programmes in a way that enables equal access and provides equal benefits to women and men. It provides tips and approaches based on international good practice and lessons learned from programmes implemented by IFC, the World Bank and other organisations.
This resource guides trainers in conducting activities on greening TVET. It compiles content from various sources and offers practical strategies tailored for TVET leaders, managers, and instructors. The manual provides a step-by-step approach to help trainers, administrators, and academics lead TVET toward sustainability.
Desisining A CurriculUM or DACUM is a methodology used to analyse jobs and develop training programmes. This training-of-trainers resource guides trainers in planning, preparing, and implementing DACUM Facilitator Training sessions. It supports those involved in occupational analysis and curriculum development, aiming to standardize DACUM practices internationally and help participants become experts in the DACUM process.
This resource guides trainers in planning and delivering programmes on occupational analysis and curriculum development. It focuses on integrating green skills, greening TVET, entrepreneurship, IR 4.0, and 21st-century skills into TVET.
This guide provides principles and step-by-step instructions for the establishment of regional/national networks for women working in energy
This report provides concrete instructions on how to develop a gender-sensitive energy policy.
This report provides concrete instructions on how to develop gender-responsive energy projects.
This checklist helps organisations assess whether their written curriculums, delivery of learning, assessments, support services and evaluation frameworks are gender-responsive.
This is a methodology for a quick learning needs assessment in the form of a list of questions.
This guide aims to help energy statisticians understand the various elements and processes involved in renewable energy data collection and management, and identify capacity gaps. It covers seven requirements for effective data management: 1. Legal and institutional frameworks; 2. Well-defined data requirements; 3. Sufficient skilled personnel; 4. Clear methodologies and processes; 5. Appropriate data collection […]