Accueil

This course is intended to empower teaching staff about e-learning and how to develop digital content that they can use within their online classes. Several topics are covered including: Teaching and Learning with Technology, Changed roles, The pedagogical perspectives of e-Learning, Evaluating E-Learning and Course Development, Effective E-Learning Content Design using the Learning Object Concept, Content Development - Production Issues, Rapid E-content Development using eXe, Rapid E-content Development using multimedia, Online Learning Activities and Introduction to Digital Assessment 

The main purpose of this course is to introduce participants to foundation theories, knowledge and skills necessary to navigate the complex nature of decision making in professional, business and personal life in a knowledge-based data centric digital world. Data-driven decision making is the process of collecting data based on organizations’ information needs i.e. key performance indicators (KPIs) and transforming the data into actionable insights to guide structures, systems and processes of the organization in executions of their works. he data-driven decision making could be defined as “the. practice of basing decisions on the analysis of the data rather. than purely on intuition”.  Organizations with purposeful, data driven approaches to decisions outperform their peers in output and productivity. In fact, the highest performing organizations globally are those with robust data driven approaches five times more than the lowest performing organizations.

 This course will introduce participant to foundation principles and theories of decision making, take them through the decision-making processes, and introduce participants to the 6 stages of data-driven decision making (Identify, Collect, Map, Analyse, Action, Review). The course will give participants an opportunity to learn the core principles and skills related to working in a data driven way and to making data driven decisions.

Introduction to Climate Information Services for Agriculture is a university undergraduate introductory curriculum content to strengthen Climate Information Services (CIS) awareness, knowledge and competencies of future agricultural professionals.  Its six modules cover:

• The “what” and “why” of CIS for agriculture;
• Impacts of climate risk on agriculture;

• Agricultural decision making in a variable climate;

• Applications of CIS for agriculture;

• Communicating climate information with farming communities; and

• Social justice issues in CIS.

In each module, you will find Reference Guides that support and complement lesson resources and assessments. Introduction to Climate Information Services for Agriculture was developed by the International Research Institute for Climate and Society (IRI), Columbia University in partnership with RUFORUM, as part of the Accelerating the Impact of CGIAR Climate Research for Africa (AICCRA) project.

This course provides a comprehensive foundation in the principles and practices of soil nutrient and water management for sustainable crop production, particularly in the context of climate change adaptation and mitigation in African agricultural systems.

Through a series of structured lessons, learners will explore the dynamic interactions between soil, water, crops, and climate. The course covers core topics including soil health and fertility, plant-water-soil relations, the impacts of climate change on soil systems, landscape-based approaches, integrated nutrient management, and sustainable water use strategies.

Participants will engage with climate-smart agriculture (CSA) frameworks, learning how to apply 4R Nutrient Stewardship, implement soil and water conservation practices, and design context-specific adaptation solutions for smallholder farming systems.

📌 Welcome to the Course: Policy Practices and Analysis to Support Implementation of CSA and CIS

This course equips you with the analytical and practical skills to understand, evaluate, and influence policies that drive Climate-Smart Agriculture (CSA) and Climate Information Services (CIS) across Africa. It provides a step-by-step exploration of how effective policy formulation, implementation, and review can promote sustainable agricultural transformation and resilience to climate change.

It is organized into four key sessions:

Session 1 introduces you to foundational policy concepts and the policy cycle — from agenda setting to review — providing the groundwork for understanding CSA and CIS policy environments.

Session 2 explores inclusive frameworks for guiding the development and implementation of CSA and CIS policies and programmes. It emphasizes stakeholder participation, gender responsiveness, and coordination among institutions.

Session 3 focuses on monitoring, evaluation, and review of CSA and CIS-relevant policies. You will learn how to apply M&E tools, conduct policy analysis, and communicate findings effectively through policy briefs.

Session 4 highlights the enabling environment needed for upscaling CSA and CIS. It guides you through the drivers of policy change, advocacy strategies, and approaches to enhance policy coherence and implementation.

🧭 Begin by reviewing the Course Outline to familiarize yourself with the flow of learning. Move through each session at your own pace, engaging with the activities, discussions, and assessments provided. Each module component is designed to build your capacity for evidence-based policy engagement and advocacy in the field of climate-smart agriculture.

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This MOOC is designed to equip you with tools and frameworks to better assess the full value of resilience-building interventions - not just in terms of monetary gains, but also in terms of gender equity, well-being, and empowerment. 

When deciding whether to invest in an innovation, program or policy aiming to improve smallholder farmers’ resilience and climate change adaptation, governments and donors typically consider the costs and benefits of doing so. However, cost-benefit analysis (CBA) frameworks typically focus on the net present value (NPV) of future cash flows arising from an investment, which do not capture important gender outcomes of these types of innovations. Benefits could include, among others, improved women’s empowerment, reduced workloads and drudgery, or improved well-being from better consumption smoothing. In this course, we aim to provide participants with tools and methods to bring these types of outcomes into their cost-benefit analyses, which can strengthen resource allocation for programs with strong gender benefits.