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![]() Title:From Data to Learning: the Scientific Approach to AI-Enhanced Online Course Design Conference:BdKCSE'2023 Tags:Course Design, Generative AI, Interactive Courses, Microlearning and Online Education Abstract: This article explores a transformative approach to online education, driven by the integration of Generative Artificial Intelligence (AI). We present a comprehensive methodology for the creation of interactive online courses, emphasizing four essential steps: content generation powered by AI, division of content into manageable knowledge bites, diversification of content types, and the automated design of course screens with interactive elements and visual assets. The journey begins with AI-driven content creation, leveraging advanced algorithms to generate educational materials efficiently. These materials are then segmented into bite-sized, self-contained knowledge bites, following the principles of microlearning. The diverse array of content types within each knowledge bite enhances engagement and comprehensive understanding. From Data to Learning: the Scientific Approach to AI-Enhanced Online Course Design ![]() From Data to Learning: the Scientific Approach to AI-Enhanced Online Course Design | ||||
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