Rationale for the Topic:
Artificial General Intelligence (AGI) is a rapidly evolving field with profound societal implications. Yet, it's often shrouded in misunderstanding. By developing a learning resource on this topic, I aim to demystify AGI, providing learners with a solid foundation to engage with this transformative technology. I believe that an informed understanding of AGI is not just beneficial but necessary in the increasingly digitised world.
Learning Theory - Constructivism:
This course is based on constructivism, a learning theory that emphasises the learner's critical role in constructing meaning from new information. I believe that understanding AI isn't about memorising facts but about building a robust conceptual framework where new knowledge can find its place. Therefore, our course promotes active learning where students construct their understanding through reflection, discussion, and hands-on activities.
Learning Design - Inquiry-based Learning:
I chose an inquiry-based learning because it encourages curiosity, critical thinking, and problem-solving—skills crucial in the field of AI. By providing open-ended questions and problems in the context of AI, it will invite learners to investigate and explore, fostering a deep understanding of the topic.
Technology Choices:
Our technology choices were driven by two primary considerations: accessibility and relevance. Platforms such as OpenAI's GPT-4, DALL-E AI Upscalers, and Grammarly are freely available online, ensuring all learners can access them. At the same time, these are state-of-the-art AI technologies, providing learners with an opportunity to interact with the best in the field.
Optional tools like Google's Bard, Midjourney and GitHub Copilot provide additional practical experiences for learners who have access to these platforms, further deepening their understanding of AI applications.
Peer Recommendations:
Since this is the Beta version of the course, peer feedback will be processed and included in further iterations as they appear.