This course presents the main principles, concepts, and approaches of the Tropical Agriculture Platform (TAP) Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS), developed by international experts to strengthen innovation capacities in low- and middle-income countries. The course consists of 6 lessons, of approximately 30-40 minutes duration each: Lesson 1 – Agricultural Innovation Systems – concepts and elements Lesson 2 – Capacity development for Agricultural Innovation Systems (AIS) Lesson 3 – Capacity needs assessments and strengthening at innovation niche level Lesson 4 – Capacity needs assessments and strengthening at organization level Lesson 5 – Strengthening the enabling environment Lesson 6 – The Monitoring, Evaluation, and Learning framework

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Big data and data analytics emerged quickly in the past decade and they aren't buzz words; they are a reality and they are all making an impact in education. Learning analytics are becoming essential for data-driven decisions in education. A key component of the future of learning institution, as they are used to optimize learning environments for students and employees. The data generated by digital learning ecosystem can guide training managers in making informed data-driven decisions, and students seeking for a personalized learning experience. By taking this course you will learn how to make data-driven decisions to optimize learning and the environments in which it occurs. The course is designed to increase your understanding of learning analytics and it will prepare you to make data-driven decisions about education improvement using a broad range of data collection, analytical, and visualization methods.
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Digital4Sustainability Learning Path

The Digital4Sustainability Learning Path explores the transformational role digital solutions and innovations can play in advancing environmental and social sustainability. In particular, how can digital technologies power the green transition, and how can the digital transition be green?
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SDG 11: Sustainable Cities & Communities
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Humanoid robots at work

AI-powered robots, and in particular humanoid and semi-humanoid robots, are increasingly recognised as a foundational and emerging technology with the potential to profoundly transform work, learning, and social systems. This course is part of the broader reflection on the nexus between emerging technologies and decent work: using human-machine collaboration as a guiding lens, the course provides a space to learn about the status of humanoid robots today, their opportunities, risks, and ethical dimensions to act fast and responsibly as its impact on the world of work and learning accelerates. Grounded in the UN and ILO human-centred approach to technology, the course invites participants to explore how humanoid and semi-humanoid robots can be harnessed, rather than merely adopted, to support social justice, decent work, and sustainable development.
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COVID-19 and the ensuing lockdowns accelerated the adoption and transition of pedagogical paradigms from a largely offline mode
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