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Generative AI
Generative AI in the Classroom
Generative Artificial Intelligence (AI) has emerged as a transformative force in learning, revolutionizing how we create, disseminate, and interact with educational content. At its core, generative AI encompasses a suite of algorithms and models designed to understand, mimic, and even surpass human-like creativity in generating diverse forms of data, from text and images to audio and video. In the context of learning, generative AI holds immense potential to personalize educational experiences, facilitate interactive simulations, and unlock new frontiers in content creation and adaptation.
While generative AI presents opportunities for enhancing learning experiences, it also brings challenges. One of the foremost concerns revolves around the ethical implications of AI algorithms in educational settings, particularly regarding bias and ownership. Ensuring fairness and transparency is essential to address the risk of perpetuating societal inequalities. Additionally, as generative AI continues to evolve rapidly, ethical guidelines are needed to govern its usage in learning contexts, safeguarding against potential misuse or unintended consequences.
Curious about how to use generative AI to support your teaching. You will find pedagogical resources, use case studies, and a step-by-step guide to get you started. The latest events and updates will be provided as the Generative AI landscape evolves.
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Generative AI
CTLM Resources on Generative AI