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Course synopsis |
This course aims to help you develop an integrated foundational knowledge of AI and its transformational potential across many fields, especially education. The course is targeted at educators who want to develop a firmer understanding of AI that can guide their teaching practice and beyond. As a participant, you will learn about the technological foundations of how computers learn, as well as become familiar with concepts such as artificial narrow intelligence, generative artificial intelligence, artificial general intelligence, artificial superintelligence, and how to apply them. You will achieve this aim at a no-code, conceptual and practical level. You will also learn to integrate important human foundations of AI such as ethics, fairness, safety, responsibility, governance, and others. Specific case studies that integrate technology with human considerations from both non-education and education fields will be utilised. |
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Objective |
2. Analyse the human foundations of artificial intelligence 3. Evaluate AI use cases integrating technological and human considerations |
Outline |
The course is divided into smaller units. The units and their associated contents are: 1. Introduction and Basics: 2. Artificial narrow intelligence: 3. Human-level intelligence and beyond: 4. Human foundations I: 5. Human foundations II: 6. Integrating and applying via case studies: Course delivery mode:Course delivery is blended consisting of synchronous online session, asynchronous self-paced learning, and in-person sessions. |
Course fee |
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*MOE Participants include: MOE Participants & Direct Hires Staff from independent schools, Specialised Independent and Specialised Schools |
Pre-requisite |
a) A formal qualification in education or previous teaching experience and b) Letter of support from the school principal (or head of unit/branch). |
Who should attend |
Teachers and educators from MOE and non-MOE schools
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